外部应用服务器数据采集初始版本

This commit is contained in:
李玺康
2020-05-14 13:34:58 +08:00
parent 022925d12c
commit 9fce5c40b2
102 changed files with 3993 additions and 0 deletions

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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
#清除日志和checkpoint以及历史data
rm -rf ${BASE_DIR}/logs/*
nohup ${BASE_DIR}/${DAE_NAME} $1 $2 >/dev/null 2>&1 &

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#为source channel sink起名
connection.channels = c1
connection.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
connection.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c1.kafka.bootstrap.servers = 192.168.40.152:9092
connection.channels.c1.kafka.topic = CONNECTION-RECORD-LOG
connection.channels.c1.kafka.consumer.group.id = lxk_0514
connection.channels.c1.kafka.consumer.auto.offset.reset = latest
connection.channels.c1.kafka.consumer.enable.auto.commit = true
connection.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
connection.channels.c1.kafka.consumer.fetch.min.bytes = 1048576
connection.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
connection.sinks.k1.type = file_roll
connection.sinks.k1.channel = c1
connection.sinks.k1.sink.pathManager = default
connection.sinks.k1.sink.pathManager.extension = dat
connection.sinks.k1.sink.pathManager.prefix = test-
connection.sinks.k1.sink.rollInterval = 30
connection.sinks.k1.sink.directory = /home/192.168.60.101/CONNECTION-RECORD-LOG

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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep ^k2* | grep .properties$`
NUM1=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
echo 'flume '${JAR_NAME}' total process-->'${NUM1}
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

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#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=connection_k2f
#flume进程名称
FLUME_NAME=connection
#flume根目录
BASE_DIR=$(cd $(dirname $0); cd ../../; pwd)
#当前路径
CONF_DIR=$(cd $(dirname $0); pwd)
#进程总数
PROCESS_SUM=1
echo "##############################################################" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
id=0 #配置文件后面的序号,无特殊作用
flag=0 # flag为0表示初始化状态为1表示完整启动成功所有进程为2表示进程意外停止之后又重新杀死其余的进程并重新启动所有进程
while true ; do
NUM=`ps -ef | grep ${PROPERTIES_NAME} | grep -v grep | grep -v dae |wc -l`
pids=$(ps -ef | grep ${PROPERTIES_NAME}\* | grep properties | awk '{print $2}')
time_stamp=$(date +%Y%m%d%H%M%S)
#大于设置进程数,杀掉所有进程,重启
if [[ "${NUM}" -ne ${PROCESS_SUM} && $flag -eq "1" ]];then
for pid in $pids
do
kill -9 $pid
done
flag=2
#如果正在运行的进程数小于定义的进程数,就启动
elif [ "${NUM}" -lt ${PROCESS_SUM} ];then
id=$(( ( ($id) % $PROCESS_SUM ) + 1 ))
nohup ${BASE_DIR}/bin/flume-ng agent -n ${FLUME_NAME} -c ${CONF_DIR} -f ${CONF_DIR}/${PROPERTIES_NAME}.properties >/dev/null 2>&1 &
echo "${time_stamp} ---> the ${PROPERTIES_NAME}_APP restart ---> $id" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
#进程数如果等于指定的进程数那就设置flag为1 id为0
elif [ "${NUM}" -eq ${PROCESS_SUM} ];then
flag=1
id=0
fi
sleep 10
done

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# If this file is placed at FLUME_CONF_DIR/flume-env.sh, it will be sourced
# during Flume startup.
# Enviroment variables can be set here.
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_73
# Give Flume more memory and pre-allocate, enable remote monitoring via JMX
#export JAVA_OPTS="-Xms1024m -Xmx3072m -Dcom.sun.management.jmxremote"
export JAVA_OPTS="-Xms512m -Xmx2048m -Xss256k -Xmn1g -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:-UseGCOverheadLimit -Dcom.sun.management.jmxremote"
# Let Flume write raw event data and configuration information to its log files for debugging
# purposes. Enabling these flags is not recommended in production,
# as it may result in logging sensitive user information or encryption secrets.
# export JAVA_OPTS="$JAVA_OPTS -Dorg.apache.flume.log.rawdata=true -Dorg.apache.flume.log.printconfig=true "
# Note that the Flume conf directory is always included in the classpath.
#FLUME_CLASSPATH=""

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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f2
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2 c3 c4
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.positionFile = /home/test/4taildir_position.json
a2.sources.s2.filegroups = f3
a2.sources.s2.filegroups.f3 = /home/test/recv/.*dat
#a2.sources.s2.headers.f3.headerKey1 = channel2
#a2.sources.s2.filegroups.f4 = /home/test/log/.*dat
#a2.sources.s2.headers.f4.headerKey1 = channel3
a2.sources.s2.maxBatchCount = 500
#a2.sources.s2.selector.type = multiplexing
#channel selector
#a2.sources.s2.selector.header = headerKey1
#a2.sources.s2.selector.mapping.channel2=c2
#a2.sources.s2.selector.mapping.channel3=c3
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=200000
a2.channels.c2.batch.num.messages=5000
#第二个channel
a2.channels.c3.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c3.brokerList = 192.168.40.222:9093
a2.channels.c3.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c3.parseAsFlumeEvent = false
a2.channels.c3.kafka.producer.acks = 1
a2.channels.c3.producer.type=async
a2.channels.c3.queue.buffering.max.ms = 5000
a2.channels.c3.queue.buffering.max.messages=20000
a2.channels.c3.batch.num.messages=500
#第三个channel
a2.channels.c4.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c4.brokerList = 192.168.40.222:9093
a2.channels.c4.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c4.parseAsFlumeEvent = false
a2.channels.c4.kafka.producer.acks = 1
a2.channels.c4.producer.type=async
a2.channels.c4.queue.buffering.max.ms = 5000
a2.channels.c4.queue.buffering.max.messages=20000
a2.channels.c4.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f0
a2.sources.s2.filegroups.f0 = /home/test/log/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[3-4].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.152:9092
a1.sources.s1.kafka.topics = CONNECTION-RECORD-LOG
a1.sources.s1.kafka.consumer.group.id = source_0514
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/192.168.60.102/CONNECTION-RECORD-LOG

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.channels = c1
a1.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.c1.kafka.bootstrap.servers = 192.168.40.119:9092
a1.channels.c1.kafka.topic = test
a1.channels.c1.kafka.consumer.group.id = lxk_0509
a1.channels.c1.kafka.consumer.auto.offset.reset = latest
a1.channels.c1.kafka.consumer.enable.auto.commit = true
a1.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
a1.channels.c1.kafka.consumer.fetch.min.bytes = 10485760
a1.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 60
a1.sinks.k1.sink.directory = /home/test/log

View File

@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /var/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,25 @@
a3.sources = s2
a3.channels = c2
#指定source收集到的数据发送到哪个管道
a3.sources.s2.channels = c2
#taildir source
a3.sources.s2.type = TAILDIR
a3.sources.s2.channels = c2
a3.sources.s2.positionFile = /var/taildir2_position.json
a3.sources.s2.filegroups = f2
a3.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a3.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a3.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a3.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a3.channels.c2.brokerList = 192.168.40.203:9092
a3.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a3.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a3.channels.c2.parseAsFlumeEvent = false
a3.channels.c2.kafka.producer.acks = 1
a3.channels.c2.producer.type=async
a3.channels.c2.queue.buffering.max.ms = 5000
a3.channels.c2.queue.buffering.max.messages=20000
a3.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

View File

@@ -0,0 +1,34 @@
a2.sources = s2
a2.channels = c2
a2.sinks = k2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1 f2
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.headers.f1.headerKey1 = value1
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.headers.f2.headerKey1 = value2
a2.sources.s2.headers.f2.headerKey2 = value2-2
a2.sources.s2.fileHeader = true
a2.sources.s2.maxBatchCount = 1000
#指定channel为memory,即表示所有的数据都装进memory当中
a2.channels.c2.type = memory
a2.channels.c2.capacity = 2000000
a2.channels.c2.transactionCapacity = 30000
a2.channels.c2.byteCapacityBufferPercentage = 40
a2.channels.c2.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a2.sinks.k2.type = file_roll
a2.sinks.k2.channel = c2
a2.sinks.k2.sink.pathManager = default
a2.sinks.k2.sink.pathManager.extension = dat
a2.sinks.k2.sink.pathManager.prefix = recv-
a2.sinks.k2.sink.rollInterval = 60
a2.sinks.k2.sink.directory = /home/test/recv1

View File

@@ -0,0 +1,68 @@
##############################################################
20200513184750 ---> the connection_k2f_APP restart ---> 1
20200513184800 ---> the connection_k2f_APP restart ---> 1
20200513184810 ---> the connection_k2f_APP restart ---> 1
20200513184820 ---> the connection_k2f_APP restart ---> 1
20200513184830 ---> the connection_k2f_APP restart ---> 1
20200513184840 ---> the connection_k2f_APP restart ---> 1
20200513184850 ---> the connection_k2f_APP restart ---> 1
20200513184900 ---> the connection_k2f_APP restart ---> 1
20200513184910 ---> the connection_k2f_APP restart ---> 1
20200513184920 ---> the connection_k2f_APP restart ---> 1
20200513184930 ---> the connection_k2f_APP restart ---> 1
20200513184940 ---> the connection_k2f_APP restart ---> 1
20200513184950 ---> the connection_k2f_APP restart ---> 1
20200513185000 ---> the connection_k2f_APP restart ---> 1
20200513185010 ---> the connection_k2f_APP restart ---> 1
20200513185020 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185029 ---> the connection_k2f_APP restart ---> 1
20200513185030 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185036 ---> the connection_k2f_APP restart ---> 1
20200513185040 ---> the connection_k2f_APP restart ---> 1
20200513185050 ---> the connection_k2f_APP restart ---> 1
20200513185100 ---> the connection_k2f_APP restart ---> 1
20200513185110 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185120 ---> the connection_k2f_APP restart ---> 1
20200513185241 ---> the connection_k2f_APP restart ---> 1
20200513185251 ---> the connection_k2f_APP restart ---> 1
20200513185301 ---> the connection_k2f_APP restart ---> 1
20200513185311 ---> the connection_k2f_APP restart ---> 1
20200513185321 ---> the connection_k2f_APP restart ---> 1
20200513185331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185405 ---> the connection_k2f_APP restart ---> 1
20200513185611 ---> the connection_k2f_APP restart ---> 1
20200513185621 ---> the connection_k2f_APP restart ---> 1
20200513185701 ---> the connection_k2f_APP restart ---> 1
20200513185741 ---> the connection_k2f_APP restart ---> 1
20200513185752 ---> the connection_k2f_APP restart ---> 1
20200513185802 ---> the connection_k2f_APP restart ---> 1
20200513185812 ---> the connection_k2f_APP restart ---> 1
20200513185822 ---> the connection_k2f_APP restart ---> 1
20200513185832 ---> the connection_k2f_APP restart ---> 1
20200513185922 ---> the connection_k2f_APP restart ---> 1
20200513185932 ---> the connection_k2f_APP restart ---> 1
20200513185942 ---> the connection_k2f_APP restart ---> 1
20200513185952 ---> the connection_k2f_APP restart ---> 1
20200513190002 ---> the connection_k2f_APP restart ---> 1
20200513190012 ---> the connection_k2f_APP restart ---> 1
20200513190022 ---> the connection_k2f_APP restart ---> 1
20200513190032 ---> the connection_k2f_APP restart ---> 1
20200513190152 ---> the connection_k2f_APP restart ---> 1
20200513190202 ---> the connection_k2f_APP restart ---> 1
20200513190212 ---> the connection_k2f_APP restart ---> 1
20200513190222 ---> the connection_k2f_APP restart ---> 1
20200513190232 ---> the connection_k2f_APP restart ---> 1
20200513190242 ---> the connection_k2f_APP restart ---> 1
20200513190252 ---> the connection_k2f_APP restart ---> 1
20200513190302 ---> the connection_k2f_APP restart ---> 1
20200513190312 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513190331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192014 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192212 ---> the connection_k2f_APP restart ---> 1

View File

@@ -0,0 +1,213 @@
##############################################################
20200509174727 ---> the f2k_APP restart ---> 0
20200509174737 ---> the f2k_APP restart ---> 1
##############################################################
##############################################################
##############################################################
##############################################################
##############################################################
20200511183420 ---> the f2k_APP restart ---> 1
20200511183430 ---> the f2k_APP restart ---> 2
##############################################################
20200511183639 ---> the f2k_APP restart ---> 1
20200511183649 ---> the f2k_APP restart ---> 2
20200511183659 ---> the f2k_APP restart ---> 3
20200511183709 ---> the f2k_APP restart ---> 4
20200511183719 ---> the f2k_APP restart ---> 5
20200511183729 ---> the f2k_APP restart ---> 6
20200511183739 ---> the f2k_APP restart ---> 7
20200511183749 ---> the f2k_APP restart ---> 8
20200511183759 ---> the f2k_APP restart ---> 9
20200511183809 ---> the f2k_APP restart ---> 10
20200511183819 ---> the f2k_APP restart ---> 11
20200511183829 ---> the f2k_APP restart ---> 12
20200511183839 ---> the f2k_APP restart ---> 13
20200511183849 ---> the f2k_APP restart ---> 14
20200511183859 ---> the f2k_APP restart ---> 15
20200511183909 ---> the f2k_APP restart ---> 16
20200511183919 ---> the f2k_APP restart ---> 17
20200511183930 ---> the f2k_APP restart ---> 18
20200511183940 ---> the f2k_APP restart ---> 19
20200511183950 ---> the f2k_APP restart ---> 20
20200511184000 ---> the f2k_APP restart ---> 21
20200511184010 ---> the f2k_APP restart ---> 22
20200511184020 ---> the f2k_APP restart ---> 23
20200511184030 ---> the f2k_APP restart ---> 24
20200511184040 ---> the f2k_APP restart ---> 25
20200511184050 ---> the f2k_APP restart ---> 26
20200511184100 ---> the f2k_APP restart ---> 27
20200511184110 ---> the f2k_APP restart ---> 28
20200511184120 ---> the f2k_APP restart ---> 29
20200511184130 ---> the f2k_APP restart ---> 30
20200511184140 ---> the f2k_APP restart ---> 31
20200511184150 ---> the f2k_APP restart ---> 32
20200511184200 ---> the f2k_APP restart ---> 33
20200511184210 ---> the f2k_APP restart ---> 34
20200511184220 ---> the f2k_APP restart ---> 35
20200511184230 ---> the f2k_APP restart ---> 36
20200511184240 ---> the f2k_APP restart ---> 37
20200511184250 ---> the f2k_APP restart ---> 38
20200511184300 ---> the f2k_APP restart ---> 39
20200511184310 ---> the f2k_APP restart ---> 40
20200511184321 ---> the f2k_APP restart ---> 41
20200511184331 ---> the f2k_APP restart ---> 42
20200511184341 ---> the f2k_APP restart ---> 43
20200511184351 ---> the f2k_APP restart ---> 44
20200511184401 ---> the f2k_APP restart ---> 45
20200511184411 ---> the f2k_APP restart ---> 46
20200511184421 ---> the f2k_APP restart ---> 47
20200511184431 ---> the f2k_APP restart ---> 48
20200511184441 ---> the f2k_APP restart ---> 49
20200511184451 ---> the f2k_APP restart ---> 50
20200511184501 ---> the f2k_APP restart ---> 51
20200511184511 ---> the f2k_APP restart ---> 52
20200511184521 ---> the f2k_APP restart ---> 53
20200511184531 ---> the f2k_APP restart ---> 54
20200511184541 ---> the f2k_APP restart ---> 55
20200511184551 ---> the f2k_APP restart ---> 56
20200511184601 ---> the f2k_APP restart ---> 57
20200511184611 ---> the f2k_APP restart ---> 58
20200511184621 ---> the f2k_APP restart ---> 59
20200511184631 ---> the f2k_APP restart ---> 60
20200511184641 ---> the f2k_APP restart ---> 61
20200511184651 ---> the f2k_APP restart ---> 62
20200511184701 ---> the f2k_APP restart ---> 63
20200511184711 ---> the f2k_APP restart ---> 64
20200511184721 ---> the f2k_APP restart ---> 65
20200511184732 ---> the f2k_APP restart ---> 66
20200511184742 ---> the f2k_APP restart ---> 67
20200511184752 ---> the f2k_APP restart ---> 68
20200511184802 ---> the f2k_APP restart ---> 69
20200511184812 ---> the f2k_APP restart ---> 70
20200511184822 ---> the f2k_APP restart ---> 71
##############################################################
20200511185311 ---> the f2k_APP restart ---> 1
##############################################################
20200511185421 ---> the f2k_APP restart ---> 1
##############################################################
20200511185532 ---> the f2k_APP restart ---> 1
20200511185542 ---> the f2k_APP restart ---> 1
20200511185552 ---> the f2k_APP restart ---> 1
##############################################################
20200511185706 ---> the f2k_APP restart ---> 1
20200511185716 ---> the f2k_APP restart ---> 1+1
20200511185726 ---> the f2k_APP restart ---> 2+1
##############################################################
20200511185837 ---> the f2k_APP restart ---> 1
##############################################################
20200511185938 ---> the f2k_APP restart ---> 1
##############################################################
20200511190054 ---> the f2k_APP restart ---> 1
20200511190104 ---> the f2k_APP restart ---> 1+1
##############################################################
20200511190604 ---> the f2k_APP restart ---> 1
20200511190614 ---> the f2k_APP restart ---> 0
20200511190624 ---> the f2k_APP restart ---> 1
20200511190634 ---> the f2k_APP restart ---> 0
##############################################################
20200511190729 ---> the f2k_APP restart ---> 1
20200511190739 ---> the f2k_APP restart ---> 1
20200511190749 ---> the f2k_APP restart ---> 1
##############################################################
20200511190950 ---> the f2k_APP restart ---> 1
20200511191000 ---> the f2k_APP restart ---> 2
20200511191010 ---> the f2k_APP restart ---> 1
##############################################################
20200511191834 ---> the f2k_APP restart ---> 1
20200511191844 ---> the f2k_APP restart ---> 2
##############################################################
20200511192013 ---> the f2k_APP restart ---> 1
##############################################################
20200511192134 ---> the f2k_APP restart ---> 1
20200511192144 ---> the f2k_APP restart ---> 2
20200511192154 ---> the f2k_APP restart ---> 1
20200511192204 ---> the f2k_APP restart ---> 2
##############################################################
##############################################################
##############################################################
##############################################################
20200511193630 ---> the f2k_APP restart ---> 1
20200511193640 ---> the f2k_APP restart ---> 2
##############################################################
20200512101249 ---> the f2k_APP restart ---> 1
20200512101259 ---> the f2k_APP restart ---> 2
20200512101309 ---> the f2k_APP restart ---> 1
##############################################################
20200512101433 ---> the f2k_APP restart ---> 1
##############################################################
20200512101537 ---> the f2k_APP restart ---> 1
20200512101547 ---> the f2k_APP restart ---> 2
20200512101557 ---> the f2k_APP restart ---> 3
20200512101707 ---> the f2k_APP restart ---> 1
##############################################################
20200512102643 ---> the f2k_APP restart ---> 1
20200512102653 ---> the f2k_APP restart ---> 2
##############################################################
20200512102723 ---> the f2k_APP restart ---> 1
20200512102733 ---> the f2k_APP restart ---> 2
20200512102743 ---> the f2k_APP restart ---> 3
##############################################################
20200512102936 ---> the f2k_APP restart ---> 1
20200512102946 ---> the f2k_APP restart ---> 2
20200512102956 ---> the f2k_APP restart ---> 3
##############################################################
20200512103250 ---> the f2k_APP restart ---> 1
20200512103300 ---> the f2k_APP restart ---> 2
20200512103310 ---> the f2k_APP restart ---> 3
##############################################################
20200512113819 ---> the f2k_APP restart ---> 1
20200512113829 ---> the f2k_APP restart ---> 2
20200512113839 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512114211 ---> the f2k_APP restart ---> 1
20200512114241 ---> the f2k_APP restart ---> 2
##############################################################
20200512114550 ---> the f2k_APP restart ---> 1
20200512114600 ---> the f2k_APP restart ---> 2
20200512114610 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512115341 ---> the f2k_APP restart ---> 1
20200512115351 ---> the f2k_APP restart ---> 2
20200512115401 ---> the f2k_APP restart ---> 3
20200512115452 ---> the f2k_APP restart ---> 1
20200512115502 ---> the f2k_APP restart ---> 2
20200512115512 ---> the f2k_APP restart ---> 3
20200512115712 ---> the f2k_APP restart ---> 1
20200512115722 ---> the f2k_APP restart ---> 2
20200512115732 ---> the f2k_APP restart ---> 3
##############################################################
20200512115933 ---> the f2k_APP restart ---> 1
20200512115943 ---> the f2k_APP restart ---> 2
20200512115953 ---> the f2k_APP restart ---> 3
##############################################################
20200512134239 ---> the f2k_APP restart ---> 1
20200512134249 ---> the f2k_APP restart ---> 2
20200512134259 ---> the f2k_APP restart ---> 3
20200512134509 ---> the f2k_APP restart ---> 1
20200512134519 ---> the f2k_APP restart ---> 2
20200512134530 ---> the f2k_APP restart ---> 3
20200512140003 ---> the f2k_APP restart ---> 1
20200512140013 ---> the f2k_APP restart ---> 2
20200512141056 ---> the f2k_APP restart ---> 1
20200512141106 ---> the f2k_APP restart ---> 2
20200512141116 ---> the f2k_APP restart ---> 3
20200512142500 ---> the f2k_APP restart ---> 1
20200512142510 ---> the f2k_APP restart ---> 2
20200512142941 ---> the f2k_APP restart ---> 1
20200512142951 ---> the f2k_APP restart ---> 2
20200512143001 ---> the f2k_APP restart ---> 3
20200512143031 ---> the f2k_APP restart ---> 1
20200512143041 ---> the f2k_APP restart ---> 2
20200512143051 ---> the f2k_APP restart ---> 3
20200512144224 ---> the f2k_APP restart ---> 1
20200512144234 ---> the f2k_APP restart ---> 2
20200512144314 ---> the f2k_APP restart ---> 1
20200512144324 ---> the f2k_APP restart ---> 2
20200512144355 ---> the f2k_APP restart ---> 1
20200512144405 ---> the f2k_APP restart ---> 2
20200512144415 ---> the f2k_APP restart ---> 3
20200512144635 ---> the f2k_APP restart ---> 1
20200512144645 ---> the f2k_APP restart ---> 2
20200512144655 ---> the f2k_APP restart ---> 3

View File

@@ -0,0 +1,134 @@
##############################################################
20200512180055 ---> the security_f2k_APP restart ---> 1
20200512180105 ---> the security_f2k_APP restart ---> 2
##############################################################
20200512180108 ---> the security_f2k_APP restart ---> 1
20200512180115 ---> the security_f2k_APP restart ---> 3
20200512180118 ---> the security_f2k_APP restart ---> 2
20200512180125 ---> the security_f2k_APP restart ---> 1
20200512180128 ---> the security_f2k_APP restart ---> 3
20200512180135 ---> the security_f2k_APP restart ---> 2
20200512180138 ---> the security_f2k_APP restart ---> 1
20200512180145 ---> the security_f2k_APP restart ---> 3
20200512180148 ---> the security_f2k_APP restart ---> 2
20200512180155 ---> the security_f2k_APP restart ---> 1
20200512180158 ---> the security_f2k_APP restart ---> 3
20200512180206 ---> the security_f2k_APP restart ---> 2
20200512180208 ---> the security_f2k_APP restart ---> 1
20200512180216 ---> the security_f2k_APP restart ---> 3
20200512180218 ---> the security_f2k_APP restart ---> 2
20200512180226 ---> the security_f2k_APP restart ---> 1
20200512180228 ---> the security_f2k_APP restart ---> 3
20200512180236 ---> the security_f2k_APP restart ---> 2
20200512180238 ---> the security_f2k_APP restart ---> 1
20200512180246 ---> the security_f2k_APP restart ---> 3
20200512180248 ---> the security_f2k_APP restart ---> 2
20200512180256 ---> the security_f2k_APP restart ---> 1
20200512180258 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180513 ---> the security_f2k_APP restart ---> 1
20200512180523 ---> the security_f2k_APP restart ---> 2
20200512180533 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the security_f2k_APP restart ---> 1
20200512180546 ---> the security_f2k_APP restart ---> 2
20200512180556 ---> the security_f2k_APP restart ---> 3
20200512180626 ---> the security_f2k_APP restart ---> 1
20200512180637 ---> the security_f2k_APP restart ---> 2
20200512180707 ---> the security_f2k_APP restart ---> 1
20200512180717 ---> the security_f2k_APP restart ---> 2
20200512180747 ---> the security_f2k_APP restart ---> 1
20200512180757 ---> the security_f2k_APP restart ---> 2
20200512180827 ---> the security_f2k_APP restart ---> 1
20200512180837 ---> the security_f2k_APP restart ---> 2
20200512180907 ---> the security_f2k_APP restart ---> 1
20200512180917 ---> the security_f2k_APP restart ---> 2
20200512180947 ---> the security_f2k_APP restart ---> 1
20200512180957 ---> the security_f2k_APP restart ---> 2
20200512181028 ---> the security_f2k_APP restart ---> 1
20200512181038 ---> the security_f2k_APP restart ---> 2
20200512181108 ---> the security_f2k_APP restart ---> 1
20200512181118 ---> the security_f2k_APP restart ---> 2
20200512181148 ---> the security_f2k_APP restart ---> 1
20200512181158 ---> the security_f2k_APP restart ---> 2
20200512181228 ---> the security_f2k_APP restart ---> 1
20200512181238 ---> the security_f2k_APP restart ---> 2
20200512181308 ---> the security_f2k_APP restart ---> 1
20200512181318 ---> the security_f2k_APP restart ---> 2
20200512181348 ---> the security_f2k_APP restart ---> 1
20200512181358 ---> the security_f2k_APP restart ---> 2
20200512181429 ---> the security_f2k_APP restart ---> 1
20200512181439 ---> the security_f2k_APP restart ---> 2
20200512181449 ---> the security_f2k_APP restart ---> 3
20200512181519 ---> the security_f2k_APP restart ---> 1
20200512181529 ---> the security_f2k_APP restart ---> 2
20200512181539 ---> the security_f2k_APP restart ---> 3
20200512181609 ---> the security_f2k_APP restart ---> 1
20200512181619 ---> the security_f2k_APP restart ---> 2
20200512181649 ---> the security_f2k_APP restart ---> 1
20200512181659 ---> the security_f2k_APP restart ---> 2
20200512181729 ---> the security_f2k_APP restart ---> 1
20200512181739 ---> the security_f2k_APP restart ---> 2
20200512181809 ---> the security_f2k_APP restart ---> 1
20200512181820 ---> the security_f2k_APP restart ---> 2
20200512181850 ---> the security_f2k_APP restart ---> 1
20200512181900 ---> the security_f2k_APP restart ---> 2
20200512181910 ---> the security_f2k_APP restart ---> 3
20200512181920 ---> the security_f2k_APP restart ---> 1
20200512181930 ---> the security_f2k_APP restart ---> 2
20200512181940 ---> the security_f2k_APP restart ---> 3
20200512181950 ---> the security_f2k_APP restart ---> 1
20200512182000 ---> the security_f2k_APP restart ---> 2
20200512182010 ---> the security_f2k_APP restart ---> 3
20200512182020 ---> the security_f2k_APP restart ---> 1
20200512182030 ---> the security_f2k_APP restart ---> 2
20200512182040 ---> the security_f2k_APP restart ---> 3
20200512182050 ---> the security_f2k_APP restart ---> 1
20200512182100 ---> the security_f2k_APP restart ---> 2
20200512182110 ---> the security_f2k_APP restart ---> 3
20200512182120 ---> the security_f2k_APP restart ---> 1
20200512182130 ---> the security_f2k_APP restart ---> 2
20200512182140 ---> the security_f2k_APP restart ---> 3
20200512182150 ---> the security_f2k_APP restart ---> 1
20200512182200 ---> the security_f2k_APP restart ---> 2
20200512182211 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512183204 ---> the security_f2k_APP restart ---> 1
20200512183215 ---> the security_f2k_APP restart ---> 2
20200512183225 ---> the security_f2k_APP restart ---> 3
20200512183255 ---> the security_f2k_APP restart ---> 1
20200512183305 ---> the security_f2k_APP restart ---> 2
20200512183335 ---> the security_f2k_APP restart ---> 1
20200512183345 ---> the security_f2k_APP restart ---> 2
20200512183415 ---> the security_f2k_APP restart ---> 1
20200512183425 ---> the security_f2k_APP restart ---> 2
20200512183455 ---> the security_f2k_APP restart ---> 1
20200512183505 ---> the security_f2k_APP restart ---> 2
20200512183535 ---> the security_f2k_APP restart ---> 1
20200512183545 ---> the security_f2k_APP restart ---> 2
20200512183615 ---> the security_f2k_APP restart ---> 1
20200512183626 ---> the security_f2k_APP restart ---> 2
20200512183656 ---> the security_f2k_APP restart ---> 1
20200512183706 ---> the security_f2k_APP restart ---> 2
20200512183716 ---> the security_f2k_APP restart ---> 3
20200512183726 ---> the security_f2k_APP restart ---> 1
20200512183736 ---> the security_f2k_APP restart ---> 2
20200512183746 ---> the security_f2k_APP restart ---> 3
20200512183756 ---> the security_f2k_APP restart ---> 1
20200512183806 ---> the security_f2k_APP restart ---> 2
20200512183836 ---> the security_f2k_APP restart ---> 1
20200512183846 ---> the security_f2k_APP restart ---> 2
20200512183916 ---> the security_f2k_APP restart ---> 1
20200512183926 ---> the security_f2k_APP restart ---> 2
20200512183936 ---> the security_f2k_APP restart ---> 3
20200512184006 ---> the security_f2k_APP restart ---> 1
20200512184016 ---> the security_f2k_APP restart ---> 2
20200512184027 ---> the security_f2k_APP restart ---> 3
20200512184037 ---> the security_f2k_APP restart ---> 1
20200512184047 ---> the security_f2k_APP restart ---> 2
20200512184057 ---> the security_f2k_APP restart ---> 3
20200512184107 ---> the security_f2k_APP restart ---> 1
20200512184117 ---> the security_f2k_APP restart ---> 2
20200512184127 ---> the security_f2k_APP restart ---> 3
20200512184157 ---> the security_f2k_APP restart ---> 1
20200512184207 ---> the security_f2k_APP restart ---> 2

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@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_FILE=$(cd $(dirname $0); ls | grep dae*)
nohup ${BASE_DIR}/$DAE_FILE >/dev/null 2>&1 &

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@@ -0,0 +1,28 @@
#!/bin/sh
#DAE_NAME=dae_k2ha.sh
#JAR_NAME=k2ha.properties
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
JAR_NAME=`ls ${BASE_DIR} | grep ^f2* | grep .properties$`
NUM1=`ps -ef | grep ${DAE_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${DAE_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
kill -9 $pid1
echo 'killed '${DAE_NAME}' process-->'$pid1
done
fi
NUM2=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids2=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM2}" -ge "1" ];then
for pid2 in $pids2
do
kill -9 $pid2
echo 'killed '${JAR_NAME}' process-->'$pid2
done
fi

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@@ -0,0 +1,10 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
#清除日志和checkpoint以及历史data
rm -rf ${BASE_DIR}/logs/*
nohup ${BASE_DIR}/${DAE_NAME} $1 $2 >/dev/null 2>&1 &

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@@ -0,0 +1,15 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep ^k2* | grep .properties$`
NUM1=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
echo 'flume '${JAR_NAME}' total process-->'${NUM1}
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

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@@ -0,0 +1,39 @@
#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=proxy_k2f
#flume进程名称
FLUME_NAME=proxy
#flume根目录
BASE_DIR=$(cd $(dirname $0); cd ../../; pwd)
#当前路径
CONF_DIR=$(cd $(dirname $0); pwd)
#进程总数
PROCESS_SUM=1
echo "##############################################################" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
id=0 #配置文件后面的序号,无特殊作用
flag=0 # flag为0表示初始化状态为1表示完整启动成功所有进程为2表示进程意外停止之后又重新杀死其余的进程并重新启动所有进程
while true ; do
NUM=`ps -ef | grep ${PROPERTIES_NAME} | grep -v grep | grep -v dae |wc -l`
pids=$(ps -ef | grep ${PROPERTIES_NAME}\* | grep properties | awk '{print $2}')
time_stamp=$(date +%Y%m%d%H%M%S)
#大于设置进程数,杀掉所有进程,重启
if [[ "${NUM}" -ne ${PROCESS_SUM} && $flag -eq "1" ]];then
for pid in $pids
do
kill -9 $pid
done
flag=2
#如果正在运行的进程数小于定义的进程数,就启动
elif [ "${NUM}" -lt ${PROCESS_SUM} ];then
id=$(( ( ($id) % $PROCESS_SUM ) + 1 ))
nohup ${BASE_DIR}/bin/flume-ng agent -n ${FLUME_NAME} -c ${CONF_DIR} -f ${CONF_DIR}/${PROPERTIES_NAME}.properties >/dev/null 2>&1 &
echo "${time_stamp} ---> the ${PROPERTIES_NAME}_APP restart ---> $id" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
#进程数如果等于指定的进程数那就设置flag为1 id为0
elif [ "${NUM}" -eq ${PROCESS_SUM} ];then
flag=1
id=0
fi
sleep 10
done

View File

@@ -0,0 +1,35 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# If this file is placed at FLUME_CONF_DIR/flume-env.sh, it will be sourced
# during Flume startup.
# Enviroment variables can be set here.
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_73
# Give Flume more memory and pre-allocate, enable remote monitoring via JMX
#export JAVA_OPTS="-Xms1024m -Xmx3072m -Dcom.sun.management.jmxremote"
export JAVA_OPTS="-Xms512m -Xmx2048m -Xss256k -Xmn1g -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:-UseGCOverheadLimit -Dcom.sun.management.jmxremote"
# Let Flume write raw event data and configuration information to its log files for debugging
# purposes. Enabling these flags is not recommended in production,
# as it may result in logging sensitive user information or encryption secrets.
# export JAVA_OPTS="$JAVA_OPTS -Dorg.apache.flume.log.rawdata=true -Dorg.apache.flume.log.printconfig=true "
# Note that the Flume conf directory is always included in the classpath.
#FLUME_CLASSPATH=""

View File

@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

View File

@@ -0,0 +1,24 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f2
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,58 @@
a2.sources = s2
a2.channels = c2 c3 c4
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.positionFile = /home/test/4taildir_position.json
a2.sources.s2.filegroups = f3
a2.sources.s2.filegroups.f3 = /home/test/recv/.*dat
#a2.sources.s2.headers.f3.headerKey1 = channel2
#a2.sources.s2.filegroups.f4 = /home/test/log/.*dat
#a2.sources.s2.headers.f4.headerKey1 = channel3
a2.sources.s2.maxBatchCount = 500
#a2.sources.s2.selector.type = multiplexing
#channel selector
#a2.sources.s2.selector.header = headerKey1
#a2.sources.s2.selector.mapping.channel2=c2
#a2.sources.s2.selector.mapping.channel3=c3
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=200000
a2.channels.c2.batch.num.messages=5000
#第二个channel
a2.channels.c3.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c3.brokerList = 192.168.40.222:9093
a2.channels.c3.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c3.parseAsFlumeEvent = false
a2.channels.c3.kafka.producer.acks = 1
a2.channels.c3.producer.type=async
a2.channels.c3.queue.buffering.max.ms = 5000
a2.channels.c3.queue.buffering.max.messages=20000
a2.channels.c3.batch.num.messages=500
#第三个channel
a2.channels.c4.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c4.brokerList = 192.168.40.222:9093
a2.channels.c4.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c4.parseAsFlumeEvent = false
a2.channels.c4.kafka.producer.acks = 1
a2.channels.c4.producer.type=async
a2.channels.c4.queue.buffering.max.ms = 5000
a2.channels.c4.queue.buffering.max.messages=20000
a2.channels.c4.batch.num.messages=500

View File

@@ -0,0 +1,24 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f0
a2.sources.s2.filegroups.f0 = /home/test/log/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,23 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[3-4].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,29 @@
#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.152:9092
a1.sources.s1.kafka.topics = CONNECTION-RECORD-LOG
a1.sources.s1.kafka.consumer.group.id = source_0514
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/192.168.60.102/CONNECTION-RECORD-LOG

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@@ -0,0 +1,29 @@
#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.channels = c1
a1.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.c1.kafka.bootstrap.servers = 192.168.40.119:9092
a1.channels.c1.kafka.topic = test
a1.channels.c1.kafka.consumer.group.id = lxk_0509
a1.channels.c1.kafka.consumer.auto.offset.reset = latest
a1.channels.c1.kafka.consumer.enable.auto.commit = true
a1.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
a1.channels.c1.kafka.consumer.fetch.min.bytes = 10485760
a1.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 60
a1.sinks.k1.sink.directory = /home/test/log

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@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /var/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,25 @@
a3.sources = s2
a3.channels = c2
#指定source收集到的数据发送到哪个管道
a3.sources.s2.channels = c2
#taildir source
a3.sources.s2.type = TAILDIR
a3.sources.s2.channels = c2
a3.sources.s2.positionFile = /var/taildir2_position.json
a3.sources.s2.filegroups = f2
a3.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a3.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a3.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a3.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a3.channels.c2.brokerList = 192.168.40.203:9092
a3.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a3.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a3.channels.c2.parseAsFlumeEvent = false
a3.channels.c2.kafka.producer.acks = 1
a3.channels.c2.producer.type=async
a3.channels.c2.queue.buffering.max.ms = 5000
a3.channels.c2.queue.buffering.max.messages=20000
a3.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

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@@ -0,0 +1,34 @@
a2.sources = s2
a2.channels = c2
a2.sinks = k2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1 f2
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.headers.f1.headerKey1 = value1
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.headers.f2.headerKey1 = value2
a2.sources.s2.headers.f2.headerKey2 = value2-2
a2.sources.s2.fileHeader = true
a2.sources.s2.maxBatchCount = 1000
#指定channel为memory,即表示所有的数据都装进memory当中
a2.channels.c2.type = memory
a2.channels.c2.capacity = 2000000
a2.channels.c2.transactionCapacity = 30000
a2.channels.c2.byteCapacityBufferPercentage = 40
a2.channels.c2.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a2.sinks.k2.type = file_roll
a2.sinks.k2.channel = c2
a2.sinks.k2.sink.pathManager = default
a2.sinks.k2.sink.pathManager.extension = dat
a2.sinks.k2.sink.pathManager.prefix = recv-
a2.sinks.k2.sink.rollInterval = 60
a2.sinks.k2.sink.directory = /home/test/recv1

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@@ -0,0 +1,22 @@
#为source channel sink起名
proxy.channels = c1
proxy.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
proxy.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c1.kafka.bootstrap.servers = 192.168.40.152:9092
proxy.channels.c1.kafka.topic = PROXY-EVENT-LOG
proxy.channels.c1.kafka.consumer.group.id = lxk_0514
proxy.channels.c1.kafka.consumer.auto.offset.reset = latest
proxy.channels.c1.kafka.consumer.enable.auto.commit = true
proxy.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
proxy.channels.c1.kafka.consumer.fetch.min.bytes = 1048576
proxy.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
proxy.sinks.k1.type = file_roll
proxy.sinks.k1.channel = c1
proxy.sinks.k1.sink.pathManager = default
proxy.sinks.k1.sink.pathManager.extension = dat
proxy.sinks.k1.sink.pathManager.prefix = test-
proxy.sinks.k1.sink.rollInterval = 30
proxy.sinks.k1.sink.directory = /home/192.168.60.101/PROXY-EVENT-LOG

View File

@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_FILE=$(cd $(dirname $0); ls | grep dae*)
nohup ${BASE_DIR}/$DAE_FILE >/dev/null 2>&1 &

View File

@@ -0,0 +1,28 @@
#!/bin/sh
#DAE_NAME=dae_k2ha.sh
#JAR_NAME=k2ha.properties
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
JAR_NAME=`ls ${BASE_DIR} | grep ^f2* | grep .properties$`
NUM1=`ps -ef | grep ${DAE_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${DAE_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
kill -9 $pid1
echo 'killed '${DAE_NAME}' process-->'$pid1
done
fi
NUM2=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids2=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM2}" -ge "1" ];then
for pid2 in $pids2
do
kill -9 $pid2
echo 'killed '${JAR_NAME}' process-->'$pid2
done
fi

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@@ -0,0 +1,10 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
#清除日志和checkpoint以及历史data
rm -rf ${BASE_DIR}/logs/*
nohup ${BASE_DIR}/${DAE_NAME} $1 $2 >/dev/null 2>&1 &

View File

@@ -0,0 +1,15 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep ^k2* | grep .properties$`
NUM1=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
echo 'flume '${JAR_NAME}' total process-->'${NUM1}
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

View File

@@ -0,0 +1,39 @@
#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=radius_k2f
#flume进程名称
FLUME_NAME=radius
#flume根目录
BASE_DIR=$(cd $(dirname $0); cd ../../; pwd)
#当前路径
CONF_DIR=$(cd $(dirname $0); pwd)
#进程总数
PROCESS_SUM=1
echo "##############################################################" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
id=0 #配置文件后面的序号,无特殊作用
flag=0 # flag为0表示初始化状态为1表示完整启动成功所有进程为2表示进程意外停止之后又重新杀死其余的进程并重新启动所有进程
while true ; do
NUM=`ps -ef | grep ${PROPERTIES_NAME} | grep -v grep | grep -v dae |wc -l`
pids=$(ps -ef | grep ${PROPERTIES_NAME}\* | grep properties | awk '{print $2}')
time_stamp=$(date +%Y%m%d%H%M%S)
#大于设置进程数,杀掉所有进程,重启
if [[ "${NUM}" -ne ${PROCESS_SUM} && $flag -eq "1" ]];then
for pid in $pids
do
kill -9 $pid
done
flag=2
#如果正在运行的进程数小于定义的进程数,就启动
elif [ "${NUM}" -lt ${PROCESS_SUM} ];then
id=$(( ( ($id) % $PROCESS_SUM ) + 1 ))
nohup ${BASE_DIR}/bin/flume-ng agent -n ${FLUME_NAME} -c ${CONF_DIR} -f ${CONF_DIR}/${PROPERTIES_NAME}.properties >/dev/null 2>&1 &
echo "${time_stamp} ---> the ${PROPERTIES_NAME}_APP restart ---> $id" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
#进程数如果等于指定的进程数那就设置flag为1 id为0
elif [ "${NUM}" -eq ${PROCESS_SUM} ];then
flag=1
id=0
fi
sleep 10
done

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@@ -0,0 +1,35 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# If this file is placed at FLUME_CONF_DIR/flume-env.sh, it will be sourced
# during Flume startup.
# Enviroment variables can be set here.
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_73
# Give Flume more memory and pre-allocate, enable remote monitoring via JMX
#export JAVA_OPTS="-Xms1024m -Xmx3072m -Dcom.sun.management.jmxremote"
export JAVA_OPTS="-Xms512m -Xmx2048m -Xss256k -Xmn1g -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:-UseGCOverheadLimit -Dcom.sun.management.jmxremote"
# Let Flume write raw event data and configuration information to its log files for debugging
# purposes. Enabling these flags is not recommended in production,
# as it may result in logging sensitive user information or encryption secrets.
# export JAVA_OPTS="$JAVA_OPTS -Dorg.apache.flume.log.rawdata=true -Dorg.apache.flume.log.printconfig=true "
# Note that the Flume conf directory is always included in the classpath.
#FLUME_CLASSPATH=""

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@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f2
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2 c3 c4
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.positionFile = /home/test/4taildir_position.json
a2.sources.s2.filegroups = f3
a2.sources.s2.filegroups.f3 = /home/test/recv/.*dat
#a2.sources.s2.headers.f3.headerKey1 = channel2
#a2.sources.s2.filegroups.f4 = /home/test/log/.*dat
#a2.sources.s2.headers.f4.headerKey1 = channel3
a2.sources.s2.maxBatchCount = 500
#a2.sources.s2.selector.type = multiplexing
#channel selector
#a2.sources.s2.selector.header = headerKey1
#a2.sources.s2.selector.mapping.channel2=c2
#a2.sources.s2.selector.mapping.channel3=c3
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=200000
a2.channels.c2.batch.num.messages=5000
#第二个channel
a2.channels.c3.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c3.brokerList = 192.168.40.222:9093
a2.channels.c3.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c3.parseAsFlumeEvent = false
a2.channels.c3.kafka.producer.acks = 1
a2.channels.c3.producer.type=async
a2.channels.c3.queue.buffering.max.ms = 5000
a2.channels.c3.queue.buffering.max.messages=20000
a2.channels.c3.batch.num.messages=500
#第三个channel
a2.channels.c4.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c4.brokerList = 192.168.40.222:9093
a2.channels.c4.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c4.parseAsFlumeEvent = false
a2.channels.c4.kafka.producer.acks = 1
a2.channels.c4.producer.type=async
a2.channels.c4.queue.buffering.max.ms = 5000
a2.channels.c4.queue.buffering.max.messages=20000
a2.channels.c4.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f0
a2.sources.s2.filegroups.f0 = /home/test/log/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[3-4].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.152:9092
a1.sources.s1.kafka.topics = CONNECTION-RECORD-LOG
a1.sources.s1.kafka.consumer.group.id = source_0514
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/192.168.60.102/CONNECTION-RECORD-LOG

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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#为source channel sink起名
a1.channels = c1
a1.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.c1.kafka.bootstrap.servers = 192.168.40.119:9092
a1.channels.c1.kafka.topic = test
a1.channels.c1.kafka.consumer.group.id = lxk_0509
a1.channels.c1.kafka.consumer.auto.offset.reset = latest
a1.channels.c1.kafka.consumer.enable.auto.commit = true
a1.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
a1.channels.c1.kafka.consumer.fetch.min.bytes = 10485760
a1.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 60
a1.sinks.k1.sink.directory = /home/test/log

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /var/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a3.sources = s2
a3.channels = c2
#指定source收集到的数据发送到哪个管道
a3.sources.s2.channels = c2
#taildir source
a3.sources.s2.type = TAILDIR
a3.sources.s2.channels = c2
a3.sources.s2.positionFile = /var/taildir2_position.json
a3.sources.s2.filegroups = f2
a3.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a3.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a3.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a3.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a3.channels.c2.brokerList = 192.168.40.203:9092
a3.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a3.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a3.channels.c2.parseAsFlumeEvent = false
a3.channels.c2.kafka.producer.acks = 1
a3.channels.c2.producer.type=async
a3.channels.c2.queue.buffering.max.ms = 5000
a3.channels.c2.queue.buffering.max.messages=20000
a3.channels.c2.batch.num.messages=500

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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

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@@ -0,0 +1,34 @@
a2.sources = s2
a2.channels = c2
a2.sinks = k2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1 f2
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.headers.f1.headerKey1 = value1
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.headers.f2.headerKey1 = value2
a2.sources.s2.headers.f2.headerKey2 = value2-2
a2.sources.s2.fileHeader = true
a2.sources.s2.maxBatchCount = 1000
#指定channel为memory,即表示所有的数据都装进memory当中
a2.channels.c2.type = memory
a2.channels.c2.capacity = 2000000
a2.channels.c2.transactionCapacity = 30000
a2.channels.c2.byteCapacityBufferPercentage = 40
a2.channels.c2.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a2.sinks.k2.type = file_roll
a2.sinks.k2.channel = c2
a2.sinks.k2.sink.pathManager = default
a2.sinks.k2.sink.pathManager.extension = dat
a2.sinks.k2.sink.pathManager.prefix = recv-
a2.sinks.k2.sink.rollInterval = 60
a2.sinks.k2.sink.directory = /home/test/recv1

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@@ -0,0 +1,22 @@
#为source channel sink起名
radius.channels = c1
radius.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
radius.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c1.kafka.bootstrap.servers = 192.168.40.152:9092
radius.channels.c1.kafka.topic = RADIUS-RECORD-LOG
radius.channels.c1.kafka.consumer.group.id = lxk_0514
radius.channels.c1.kafka.consumer.auto.offset.reset = latest
radius.channels.c1.kafka.consumer.enable.auto.commit = true
radius.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
radius.channels.c1.kafka.consumer.fetch.min.bytes = 1048576
radius.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
radius.sinks.k1.type = file_roll
radius.sinks.k1.channel = c1
radius.sinks.k1.sink.pathManager = default
radius.sinks.k1.sink.pathManager.extension = dat
radius.sinks.k1.sink.pathManager.prefix = test-
radius.sinks.k1.sink.rollInterval = 30
radius.sinks.k1.sink.directory = /home/192.168.60.101/RADIUS-RECORD-LOG

View File

@@ -0,0 +1,68 @@
##############################################################
20200513184750 ---> the connection_k2f_APP restart ---> 1
20200513184800 ---> the connection_k2f_APP restart ---> 1
20200513184810 ---> the connection_k2f_APP restart ---> 1
20200513184820 ---> the connection_k2f_APP restart ---> 1
20200513184830 ---> the connection_k2f_APP restart ---> 1
20200513184840 ---> the connection_k2f_APP restart ---> 1
20200513184850 ---> the connection_k2f_APP restart ---> 1
20200513184900 ---> the connection_k2f_APP restart ---> 1
20200513184910 ---> the connection_k2f_APP restart ---> 1
20200513184920 ---> the connection_k2f_APP restart ---> 1
20200513184930 ---> the connection_k2f_APP restart ---> 1
20200513184940 ---> the connection_k2f_APP restart ---> 1
20200513184950 ---> the connection_k2f_APP restart ---> 1
20200513185000 ---> the connection_k2f_APP restart ---> 1
20200513185010 ---> the connection_k2f_APP restart ---> 1
20200513185020 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185029 ---> the connection_k2f_APP restart ---> 1
20200513185030 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185036 ---> the connection_k2f_APP restart ---> 1
20200513185040 ---> the connection_k2f_APP restart ---> 1
20200513185050 ---> the connection_k2f_APP restart ---> 1
20200513185100 ---> the connection_k2f_APP restart ---> 1
20200513185110 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185120 ---> the connection_k2f_APP restart ---> 1
20200513185241 ---> the connection_k2f_APP restart ---> 1
20200513185251 ---> the connection_k2f_APP restart ---> 1
20200513185301 ---> the connection_k2f_APP restart ---> 1
20200513185311 ---> the connection_k2f_APP restart ---> 1
20200513185321 ---> the connection_k2f_APP restart ---> 1
20200513185331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185405 ---> the connection_k2f_APP restart ---> 1
20200513185611 ---> the connection_k2f_APP restart ---> 1
20200513185621 ---> the connection_k2f_APP restart ---> 1
20200513185701 ---> the connection_k2f_APP restart ---> 1
20200513185741 ---> the connection_k2f_APP restart ---> 1
20200513185752 ---> the connection_k2f_APP restart ---> 1
20200513185802 ---> the connection_k2f_APP restart ---> 1
20200513185812 ---> the connection_k2f_APP restart ---> 1
20200513185822 ---> the connection_k2f_APP restart ---> 1
20200513185832 ---> the connection_k2f_APP restart ---> 1
20200513185922 ---> the connection_k2f_APP restart ---> 1
20200513185932 ---> the connection_k2f_APP restart ---> 1
20200513185942 ---> the connection_k2f_APP restart ---> 1
20200513185952 ---> the connection_k2f_APP restart ---> 1
20200513190002 ---> the connection_k2f_APP restart ---> 1
20200513190012 ---> the connection_k2f_APP restart ---> 1
20200513190022 ---> the connection_k2f_APP restart ---> 1
20200513190032 ---> the connection_k2f_APP restart ---> 1
20200513190152 ---> the connection_k2f_APP restart ---> 1
20200513190202 ---> the connection_k2f_APP restart ---> 1
20200513190212 ---> the connection_k2f_APP restart ---> 1
20200513190222 ---> the connection_k2f_APP restart ---> 1
20200513190232 ---> the connection_k2f_APP restart ---> 1
20200513190242 ---> the connection_k2f_APP restart ---> 1
20200513190252 ---> the connection_k2f_APP restart ---> 1
20200513190302 ---> the connection_k2f_APP restart ---> 1
20200513190312 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513190331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192014 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192212 ---> the connection_k2f_APP restart ---> 1

View File

@@ -0,0 +1,213 @@
##############################################################
20200509174727 ---> the f2k_APP restart ---> 0
20200509174737 ---> the f2k_APP restart ---> 1
##############################################################
##############################################################
##############################################################
##############################################################
##############################################################
20200511183420 ---> the f2k_APP restart ---> 1
20200511183430 ---> the f2k_APP restart ---> 2
##############################################################
20200511183639 ---> the f2k_APP restart ---> 1
20200511183649 ---> the f2k_APP restart ---> 2
20200511183659 ---> the f2k_APP restart ---> 3
20200511183709 ---> the f2k_APP restart ---> 4
20200511183719 ---> the f2k_APP restart ---> 5
20200511183729 ---> the f2k_APP restart ---> 6
20200511183739 ---> the f2k_APP restart ---> 7
20200511183749 ---> the f2k_APP restart ---> 8
20200511183759 ---> the f2k_APP restart ---> 9
20200511183809 ---> the f2k_APP restart ---> 10
20200511183819 ---> the f2k_APP restart ---> 11
20200511183829 ---> the f2k_APP restart ---> 12
20200511183839 ---> the f2k_APP restart ---> 13
20200511183849 ---> the f2k_APP restart ---> 14
20200511183859 ---> the f2k_APP restart ---> 15
20200511183909 ---> the f2k_APP restart ---> 16
20200511183919 ---> the f2k_APP restart ---> 17
20200511183930 ---> the f2k_APP restart ---> 18
20200511183940 ---> the f2k_APP restart ---> 19
20200511183950 ---> the f2k_APP restart ---> 20
20200511184000 ---> the f2k_APP restart ---> 21
20200511184010 ---> the f2k_APP restart ---> 22
20200511184020 ---> the f2k_APP restart ---> 23
20200511184030 ---> the f2k_APP restart ---> 24
20200511184040 ---> the f2k_APP restart ---> 25
20200511184050 ---> the f2k_APP restart ---> 26
20200511184100 ---> the f2k_APP restart ---> 27
20200511184110 ---> the f2k_APP restart ---> 28
20200511184120 ---> the f2k_APP restart ---> 29
20200511184130 ---> the f2k_APP restart ---> 30
20200511184140 ---> the f2k_APP restart ---> 31
20200511184150 ---> the f2k_APP restart ---> 32
20200511184200 ---> the f2k_APP restart ---> 33
20200511184210 ---> the f2k_APP restart ---> 34
20200511184220 ---> the f2k_APP restart ---> 35
20200511184230 ---> the f2k_APP restart ---> 36
20200511184240 ---> the f2k_APP restart ---> 37
20200511184250 ---> the f2k_APP restart ---> 38
20200511184300 ---> the f2k_APP restart ---> 39
20200511184310 ---> the f2k_APP restart ---> 40
20200511184321 ---> the f2k_APP restart ---> 41
20200511184331 ---> the f2k_APP restart ---> 42
20200511184341 ---> the f2k_APP restart ---> 43
20200511184351 ---> the f2k_APP restart ---> 44
20200511184401 ---> the f2k_APP restart ---> 45
20200511184411 ---> the f2k_APP restart ---> 46
20200511184421 ---> the f2k_APP restart ---> 47
20200511184431 ---> the f2k_APP restart ---> 48
20200511184441 ---> the f2k_APP restart ---> 49
20200511184451 ---> the f2k_APP restart ---> 50
20200511184501 ---> the f2k_APP restart ---> 51
20200511184511 ---> the f2k_APP restart ---> 52
20200511184521 ---> the f2k_APP restart ---> 53
20200511184531 ---> the f2k_APP restart ---> 54
20200511184541 ---> the f2k_APP restart ---> 55
20200511184551 ---> the f2k_APP restart ---> 56
20200511184601 ---> the f2k_APP restart ---> 57
20200511184611 ---> the f2k_APP restart ---> 58
20200511184621 ---> the f2k_APP restart ---> 59
20200511184631 ---> the f2k_APP restart ---> 60
20200511184641 ---> the f2k_APP restart ---> 61
20200511184651 ---> the f2k_APP restart ---> 62
20200511184701 ---> the f2k_APP restart ---> 63
20200511184711 ---> the f2k_APP restart ---> 64
20200511184721 ---> the f2k_APP restart ---> 65
20200511184732 ---> the f2k_APP restart ---> 66
20200511184742 ---> the f2k_APP restart ---> 67
20200511184752 ---> the f2k_APP restart ---> 68
20200511184802 ---> the f2k_APP restart ---> 69
20200511184812 ---> the f2k_APP restart ---> 70
20200511184822 ---> the f2k_APP restart ---> 71
##############################################################
20200511185311 ---> the f2k_APP restart ---> 1
##############################################################
20200511185421 ---> the f2k_APP restart ---> 1
##############################################################
20200511185532 ---> the f2k_APP restart ---> 1
20200511185542 ---> the f2k_APP restart ---> 1
20200511185552 ---> the f2k_APP restart ---> 1
##############################################################
20200511185706 ---> the f2k_APP restart ---> 1
20200511185716 ---> the f2k_APP restart ---> 1+1
20200511185726 ---> the f2k_APP restart ---> 2+1
##############################################################
20200511185837 ---> the f2k_APP restart ---> 1
##############################################################
20200511185938 ---> the f2k_APP restart ---> 1
##############################################################
20200511190054 ---> the f2k_APP restart ---> 1
20200511190104 ---> the f2k_APP restart ---> 1+1
##############################################################
20200511190604 ---> the f2k_APP restart ---> 1
20200511190614 ---> the f2k_APP restart ---> 0
20200511190624 ---> the f2k_APP restart ---> 1
20200511190634 ---> the f2k_APP restart ---> 0
##############################################################
20200511190729 ---> the f2k_APP restart ---> 1
20200511190739 ---> the f2k_APP restart ---> 1
20200511190749 ---> the f2k_APP restart ---> 1
##############################################################
20200511190950 ---> the f2k_APP restart ---> 1
20200511191000 ---> the f2k_APP restart ---> 2
20200511191010 ---> the f2k_APP restart ---> 1
##############################################################
20200511191834 ---> the f2k_APP restart ---> 1
20200511191844 ---> the f2k_APP restart ---> 2
##############################################################
20200511192013 ---> the f2k_APP restart ---> 1
##############################################################
20200511192134 ---> the f2k_APP restart ---> 1
20200511192144 ---> the f2k_APP restart ---> 2
20200511192154 ---> the f2k_APP restart ---> 1
20200511192204 ---> the f2k_APP restart ---> 2
##############################################################
##############################################################
##############################################################
##############################################################
20200511193630 ---> the f2k_APP restart ---> 1
20200511193640 ---> the f2k_APP restart ---> 2
##############################################################
20200512101249 ---> the f2k_APP restart ---> 1
20200512101259 ---> the f2k_APP restart ---> 2
20200512101309 ---> the f2k_APP restart ---> 1
##############################################################
20200512101433 ---> the f2k_APP restart ---> 1
##############################################################
20200512101537 ---> the f2k_APP restart ---> 1
20200512101547 ---> the f2k_APP restart ---> 2
20200512101557 ---> the f2k_APP restart ---> 3
20200512101707 ---> the f2k_APP restart ---> 1
##############################################################
20200512102643 ---> the f2k_APP restart ---> 1
20200512102653 ---> the f2k_APP restart ---> 2
##############################################################
20200512102723 ---> the f2k_APP restart ---> 1
20200512102733 ---> the f2k_APP restart ---> 2
20200512102743 ---> the f2k_APP restart ---> 3
##############################################################
20200512102936 ---> the f2k_APP restart ---> 1
20200512102946 ---> the f2k_APP restart ---> 2
20200512102956 ---> the f2k_APP restart ---> 3
##############################################################
20200512103250 ---> the f2k_APP restart ---> 1
20200512103300 ---> the f2k_APP restart ---> 2
20200512103310 ---> the f2k_APP restart ---> 3
##############################################################
20200512113819 ---> the f2k_APP restart ---> 1
20200512113829 ---> the f2k_APP restart ---> 2
20200512113839 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512114211 ---> the f2k_APP restart ---> 1
20200512114241 ---> the f2k_APP restart ---> 2
##############################################################
20200512114550 ---> the f2k_APP restart ---> 1
20200512114600 ---> the f2k_APP restart ---> 2
20200512114610 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512115341 ---> the f2k_APP restart ---> 1
20200512115351 ---> the f2k_APP restart ---> 2
20200512115401 ---> the f2k_APP restart ---> 3
20200512115452 ---> the f2k_APP restart ---> 1
20200512115502 ---> the f2k_APP restart ---> 2
20200512115512 ---> the f2k_APP restart ---> 3
20200512115712 ---> the f2k_APP restart ---> 1
20200512115722 ---> the f2k_APP restart ---> 2
20200512115732 ---> the f2k_APP restart ---> 3
##############################################################
20200512115933 ---> the f2k_APP restart ---> 1
20200512115943 ---> the f2k_APP restart ---> 2
20200512115953 ---> the f2k_APP restart ---> 3
##############################################################
20200512134239 ---> the f2k_APP restart ---> 1
20200512134249 ---> the f2k_APP restart ---> 2
20200512134259 ---> the f2k_APP restart ---> 3
20200512134509 ---> the f2k_APP restart ---> 1
20200512134519 ---> the f2k_APP restart ---> 2
20200512134530 ---> the f2k_APP restart ---> 3
20200512140003 ---> the f2k_APP restart ---> 1
20200512140013 ---> the f2k_APP restart ---> 2
20200512141056 ---> the f2k_APP restart ---> 1
20200512141106 ---> the f2k_APP restart ---> 2
20200512141116 ---> the f2k_APP restart ---> 3
20200512142500 ---> the f2k_APP restart ---> 1
20200512142510 ---> the f2k_APP restart ---> 2
20200512142941 ---> the f2k_APP restart ---> 1
20200512142951 ---> the f2k_APP restart ---> 2
20200512143001 ---> the f2k_APP restart ---> 3
20200512143031 ---> the f2k_APP restart ---> 1
20200512143041 ---> the f2k_APP restart ---> 2
20200512143051 ---> the f2k_APP restart ---> 3
20200512144224 ---> the f2k_APP restart ---> 1
20200512144234 ---> the f2k_APP restart ---> 2
20200512144314 ---> the f2k_APP restart ---> 1
20200512144324 ---> the f2k_APP restart ---> 2
20200512144355 ---> the f2k_APP restart ---> 1
20200512144405 ---> the f2k_APP restart ---> 2
20200512144415 ---> the f2k_APP restart ---> 3
20200512144635 ---> the f2k_APP restart ---> 1
20200512144645 ---> the f2k_APP restart ---> 2
20200512144655 ---> the f2k_APP restart ---> 3

View File

@@ -0,0 +1,134 @@
##############################################################
20200512180055 ---> the security_f2k_APP restart ---> 1
20200512180105 ---> the security_f2k_APP restart ---> 2
##############################################################
20200512180108 ---> the security_f2k_APP restart ---> 1
20200512180115 ---> the security_f2k_APP restart ---> 3
20200512180118 ---> the security_f2k_APP restart ---> 2
20200512180125 ---> the security_f2k_APP restart ---> 1
20200512180128 ---> the security_f2k_APP restart ---> 3
20200512180135 ---> the security_f2k_APP restart ---> 2
20200512180138 ---> the security_f2k_APP restart ---> 1
20200512180145 ---> the security_f2k_APP restart ---> 3
20200512180148 ---> the security_f2k_APP restart ---> 2
20200512180155 ---> the security_f2k_APP restart ---> 1
20200512180158 ---> the security_f2k_APP restart ---> 3
20200512180206 ---> the security_f2k_APP restart ---> 2
20200512180208 ---> the security_f2k_APP restart ---> 1
20200512180216 ---> the security_f2k_APP restart ---> 3
20200512180218 ---> the security_f2k_APP restart ---> 2
20200512180226 ---> the security_f2k_APP restart ---> 1
20200512180228 ---> the security_f2k_APP restart ---> 3
20200512180236 ---> the security_f2k_APP restart ---> 2
20200512180238 ---> the security_f2k_APP restart ---> 1
20200512180246 ---> the security_f2k_APP restart ---> 3
20200512180248 ---> the security_f2k_APP restart ---> 2
20200512180256 ---> the security_f2k_APP restart ---> 1
20200512180258 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180513 ---> the security_f2k_APP restart ---> 1
20200512180523 ---> the security_f2k_APP restart ---> 2
20200512180533 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the security_f2k_APP restart ---> 1
20200512180546 ---> the security_f2k_APP restart ---> 2
20200512180556 ---> the security_f2k_APP restart ---> 3
20200512180626 ---> the security_f2k_APP restart ---> 1
20200512180637 ---> the security_f2k_APP restart ---> 2
20200512180707 ---> the security_f2k_APP restart ---> 1
20200512180717 ---> the security_f2k_APP restart ---> 2
20200512180747 ---> the security_f2k_APP restart ---> 1
20200512180757 ---> the security_f2k_APP restart ---> 2
20200512180827 ---> the security_f2k_APP restart ---> 1
20200512180837 ---> the security_f2k_APP restart ---> 2
20200512180907 ---> the security_f2k_APP restart ---> 1
20200512180917 ---> the security_f2k_APP restart ---> 2
20200512180947 ---> the security_f2k_APP restart ---> 1
20200512180957 ---> the security_f2k_APP restart ---> 2
20200512181028 ---> the security_f2k_APP restart ---> 1
20200512181038 ---> the security_f2k_APP restart ---> 2
20200512181108 ---> the security_f2k_APP restart ---> 1
20200512181118 ---> the security_f2k_APP restart ---> 2
20200512181148 ---> the security_f2k_APP restart ---> 1
20200512181158 ---> the security_f2k_APP restart ---> 2
20200512181228 ---> the security_f2k_APP restart ---> 1
20200512181238 ---> the security_f2k_APP restart ---> 2
20200512181308 ---> the security_f2k_APP restart ---> 1
20200512181318 ---> the security_f2k_APP restart ---> 2
20200512181348 ---> the security_f2k_APP restart ---> 1
20200512181358 ---> the security_f2k_APP restart ---> 2
20200512181429 ---> the security_f2k_APP restart ---> 1
20200512181439 ---> the security_f2k_APP restart ---> 2
20200512181449 ---> the security_f2k_APP restart ---> 3
20200512181519 ---> the security_f2k_APP restart ---> 1
20200512181529 ---> the security_f2k_APP restart ---> 2
20200512181539 ---> the security_f2k_APP restart ---> 3
20200512181609 ---> the security_f2k_APP restart ---> 1
20200512181619 ---> the security_f2k_APP restart ---> 2
20200512181649 ---> the security_f2k_APP restart ---> 1
20200512181659 ---> the security_f2k_APP restart ---> 2
20200512181729 ---> the security_f2k_APP restart ---> 1
20200512181739 ---> the security_f2k_APP restart ---> 2
20200512181809 ---> the security_f2k_APP restart ---> 1
20200512181820 ---> the security_f2k_APP restart ---> 2
20200512181850 ---> the security_f2k_APP restart ---> 1
20200512181900 ---> the security_f2k_APP restart ---> 2
20200512181910 ---> the security_f2k_APP restart ---> 3
20200512181920 ---> the security_f2k_APP restart ---> 1
20200512181930 ---> the security_f2k_APP restart ---> 2
20200512181940 ---> the security_f2k_APP restart ---> 3
20200512181950 ---> the security_f2k_APP restart ---> 1
20200512182000 ---> the security_f2k_APP restart ---> 2
20200512182010 ---> the security_f2k_APP restart ---> 3
20200512182020 ---> the security_f2k_APP restart ---> 1
20200512182030 ---> the security_f2k_APP restart ---> 2
20200512182040 ---> the security_f2k_APP restart ---> 3
20200512182050 ---> the security_f2k_APP restart ---> 1
20200512182100 ---> the security_f2k_APP restart ---> 2
20200512182110 ---> the security_f2k_APP restart ---> 3
20200512182120 ---> the security_f2k_APP restart ---> 1
20200512182130 ---> the security_f2k_APP restart ---> 2
20200512182140 ---> the security_f2k_APP restart ---> 3
20200512182150 ---> the security_f2k_APP restart ---> 1
20200512182200 ---> the security_f2k_APP restart ---> 2
20200512182211 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512183204 ---> the security_f2k_APP restart ---> 1
20200512183215 ---> the security_f2k_APP restart ---> 2
20200512183225 ---> the security_f2k_APP restart ---> 3
20200512183255 ---> the security_f2k_APP restart ---> 1
20200512183305 ---> the security_f2k_APP restart ---> 2
20200512183335 ---> the security_f2k_APP restart ---> 1
20200512183345 ---> the security_f2k_APP restart ---> 2
20200512183415 ---> the security_f2k_APP restart ---> 1
20200512183425 ---> the security_f2k_APP restart ---> 2
20200512183455 ---> the security_f2k_APP restart ---> 1
20200512183505 ---> the security_f2k_APP restart ---> 2
20200512183535 ---> the security_f2k_APP restart ---> 1
20200512183545 ---> the security_f2k_APP restart ---> 2
20200512183615 ---> the security_f2k_APP restart ---> 1
20200512183626 ---> the security_f2k_APP restart ---> 2
20200512183656 ---> the security_f2k_APP restart ---> 1
20200512183706 ---> the security_f2k_APP restart ---> 2
20200512183716 ---> the security_f2k_APP restart ---> 3
20200512183726 ---> the security_f2k_APP restart ---> 1
20200512183736 ---> the security_f2k_APP restart ---> 2
20200512183746 ---> the security_f2k_APP restart ---> 3
20200512183756 ---> the security_f2k_APP restart ---> 1
20200512183806 ---> the security_f2k_APP restart ---> 2
20200512183836 ---> the security_f2k_APP restart ---> 1
20200512183846 ---> the security_f2k_APP restart ---> 2
20200512183916 ---> the security_f2k_APP restart ---> 1
20200512183926 ---> the security_f2k_APP restart ---> 2
20200512183936 ---> the security_f2k_APP restart ---> 3
20200512184006 ---> the security_f2k_APP restart ---> 1
20200512184016 ---> the security_f2k_APP restart ---> 2
20200512184027 ---> the security_f2k_APP restart ---> 3
20200512184037 ---> the security_f2k_APP restart ---> 1
20200512184047 ---> the security_f2k_APP restart ---> 2
20200512184057 ---> the security_f2k_APP restart ---> 3
20200512184107 ---> the security_f2k_APP restart ---> 1
20200512184117 ---> the security_f2k_APP restart ---> 2
20200512184127 ---> the security_f2k_APP restart ---> 3
20200512184157 ---> the security_f2k_APP restart ---> 1
20200512184207 ---> the security_f2k_APP restart ---> 2

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@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_FILE=$(cd $(dirname $0); ls | grep dae*)
nohup ${BASE_DIR}/$DAE_FILE >/dev/null 2>&1 &

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@@ -0,0 +1,28 @@
#!/bin/sh
#DAE_NAME=dae_k2ha.sh
#JAR_NAME=k2ha.properties
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
JAR_NAME=`ls ${BASE_DIR} | grep ^f2* | grep .properties$`
NUM1=`ps -ef | grep ${DAE_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${DAE_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
kill -9 $pid1
echo 'killed '${DAE_NAME}' process-->'$pid1
done
fi
NUM2=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids2=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
if [ "${NUM2}" -ge "1" ];then
for pid2 in $pids2
do
kill -9 $pid2
echo 'killed '${JAR_NAME}' process-->'$pid2
done
fi

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@@ -0,0 +1,10 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_NAME=`ls ${BASE_DIR} | grep ^dae_* | grep .sh$`
#清除日志和checkpoint以及历史data
rm -rf ${BASE_DIR}/logs/*
nohup ${BASE_DIR}/${DAE_NAME} $1 $2 >/dev/null 2>&1 &

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@@ -0,0 +1,15 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep ^k2* | grep .properties$`
NUM1=`ps -ef | grep ${JAR_NAME} | grep -v grep | wc -l`
pids1=$(ps -ef | grep ${JAR_NAME} | grep -v grep | awk '{print $2}')
echo 'flume '${JAR_NAME}' total process-->'${NUM1}
if [ "${NUM1}" -ge "1" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

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@@ -0,0 +1,39 @@
#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=security_k2f
#flume进程名称
FLUME_NAME=security
#flume根目录
BASE_DIR=$(cd $(dirname $0); cd ../../; pwd)
#当前路径
CONF_DIR=$(cd $(dirname $0); pwd)
#进程总数
PROCESS_SUM=1
echo "##############################################################" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
id=0 #配置文件后面的序号,无特殊作用
flag=0 # flag为0表示初始化状态为1表示完整启动成功所有进程为2表示进程意外停止之后又重新杀死其余的进程并重新启动所有进程
while true ; do
NUM=`ps -ef | grep ${PROPERTIES_NAME} | grep -v grep | grep -v dae |wc -l`
pids=$(ps -ef | grep ${PROPERTIES_NAME}\* | grep properties | awk '{print $2}')
time_stamp=$(date +%Y%m%d%H%M%S)
#大于设置进程数,杀掉所有进程,重启
if [[ "${NUM}" -ne ${PROCESS_SUM} && $flag -eq "1" ]];then
for pid in $pids
do
kill -9 $pid
done
flag=2
#如果正在运行的进程数小于定义的进程数,就启动
elif [ "${NUM}" -lt ${PROCESS_SUM} ];then
id=$(( ( ($id) % $PROCESS_SUM ) + 1 ))
nohup ${BASE_DIR}/bin/flume-ng agent -n ${FLUME_NAME} -c ${CONF_DIR} -f ${CONF_DIR}/${PROPERTIES_NAME}.properties >/dev/null 2>&1 &
echo "${time_stamp} ---> the ${PROPERTIES_NAME}_APP restart ---> $id" >> ${CONF_DIR}/restart_log/restart_${PROPERTIES_NAME}.log
#进程数如果等于指定的进程数那就设置flag为1 id为0
elif [ "${NUM}" -eq ${PROCESS_SUM} ];then
flag=1
id=0
fi
sleep 10
done

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@@ -0,0 +1,35 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# If this file is placed at FLUME_CONF_DIR/flume-env.sh, it will be sourced
# during Flume startup.
# Enviroment variables can be set here.
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_73
# Give Flume more memory and pre-allocate, enable remote monitoring via JMX
#export JAVA_OPTS="-Xms1024m -Xmx3072m -Dcom.sun.management.jmxremote"
export JAVA_OPTS="-Xms512m -Xmx2048m -Xss256k -Xmn1g -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:-UseGCOverheadLimit -Dcom.sun.management.jmxremote"
# Let Flume write raw event data and configuration information to its log files for debugging
# purposes. Enabling these flags is not recommended in production,
# as it may result in logging sensitive user information or encryption secrets.
# export JAVA_OPTS="$JAVA_OPTS -Dorg.apache.flume.log.rawdata=true -Dorg.apache.flume.log.printconfig=true "
# Note that the Flume conf directory is always included in the classpath.
#FLUME_CLASSPATH=""

View File

@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

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@@ -0,0 +1,24 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f2
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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a2.sources = s2
a2.channels = c2 c3 c4
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.positionFile = /home/test/4taildir_position.json
a2.sources.s2.filegroups = f3
a2.sources.s2.filegroups.f3 = /home/test/recv/.*dat
#a2.sources.s2.headers.f3.headerKey1 = channel2
#a2.sources.s2.filegroups.f4 = /home/test/log/.*dat
#a2.sources.s2.headers.f4.headerKey1 = channel3
a2.sources.s2.maxBatchCount = 500
#a2.sources.s2.selector.type = multiplexing
#channel selector
#a2.sources.s2.selector.header = headerKey1
#a2.sources.s2.selector.mapping.channel2=c2
#a2.sources.s2.selector.mapping.channel3=c3
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=200000
a2.channels.c2.batch.num.messages=5000
#第二个channel
a2.channels.c3.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c3.brokerList = 192.168.40.222:9093
a2.channels.c3.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c3.parseAsFlumeEvent = false
a2.channels.c3.kafka.producer.acks = 1
a2.channels.c3.producer.type=async
a2.channels.c3.queue.buffering.max.ms = 5000
a2.channels.c3.queue.buffering.max.messages=20000
a2.channels.c3.batch.num.messages=500
#第三个channel
a2.channels.c4.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c4.brokerList = 192.168.40.222:9093
a2.channels.c4.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c4.parseAsFlumeEvent = false
a2.channels.c4.kafka.producer.acks = 1
a2.channels.c4.producer.type=async
a2.channels.c4.queue.buffering.max.ms = 5000
a2.channels.c4.queue.buffering.max.messages=20000
a2.channels.c4.batch.num.messages=500

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@@ -0,0 +1,24 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f0
a2.sources.s2.filegroups.f0 = /home/test/log/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9092
a2.channels.c2.zookeeperConnect=192.168.40.222:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,23 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,23 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/2taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[3-4].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,23 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/1taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*[0-2].dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.222:9093
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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@@ -0,0 +1,29 @@
#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.152:9092
a1.sources.s1.kafka.topics = CONNECTION-RECORD-LOG
a1.sources.s1.kafka.consumer.group.id = source_0514
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/192.168.60.102/CONNECTION-RECORD-LOG

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@@ -0,0 +1,29 @@
#为source channel sink起名
a1.sources = s1
a1.channels = c1
a1.sinks = k1
#指定source收集到的数据发送到哪个管道
a1.sources.s1.channels = c1
#指定source数据收集策略
a1.sources.s1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.s1.batchSize = 3000
a1.sources.s1.batchDurationMillis = 100
a1.sources.s1.kafka.bootstrap.servers = 192.168.40.203:9092
a1.sources.s1.kafka.topics = test
a1.sources.s1.kafka.consumer.group.id = lxk_0429
#指定channel为memory,即表示所有的数据都装进memory当中
a1.channels.c1.type = memory
a1.channels.c1.capacity = 2000000
a1.channels.c1.transactionCapacity = 30000
a1.channels.c1.byteCapacityBufferPercentage = 40
a1.channels.c1.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 30
a1.sinks.k1.sink.directory = /home/test/log2

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@@ -0,0 +1,22 @@
#为source channel sink起名
a1.channels = c1
a1.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
a1.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
a1.channels.c1.kafka.bootstrap.servers = 192.168.40.119:9092
a1.channels.c1.kafka.topic = test
a1.channels.c1.kafka.consumer.group.id = lxk_0509
a1.channels.c1.kafka.consumer.auto.offset.reset = latest
a1.channels.c1.kafka.consumer.enable.auto.commit = true
a1.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
a1.channels.c1.kafka.consumer.fetch.min.bytes = 10485760
a1.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
a1.sinks.k1.type = file_roll
a1.sinks.k1.channel = c1
a1.sinks.k1.sink.pathManager = default
a1.sinks.k1.sink.pathManager.extension = dat
a1.sinks.k1.sink.pathManager.prefix = test-
a1.sinks.k1.sink.rollInterval = 60
a1.sinks.k1.sink.directory = /home/test/log

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@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

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@@ -0,0 +1,25 @@
a2.sources = s2
a2.channels = c2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
#taildir source
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /var/taildir_position.json
a2.sources.s2.filegroups = f1
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a2.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a2.channels.c2.brokerList = 192.168.40.203:9092
a2.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a2.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a2.channels.c2.parseAsFlumeEvent = false
a2.channels.c2.kafka.producer.acks = 1
a2.channels.c2.producer.type=async
a2.channels.c2.queue.buffering.max.ms = 5000
a2.channels.c2.queue.buffering.max.messages=20000
a2.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,25 @@
a3.sources = s2
a3.channels = c2
#指定source收集到的数据发送到哪个管道
a3.sources.s2.channels = c2
#taildir source
a3.sources.s2.type = TAILDIR
a3.sources.s2.channels = c2
a3.sources.s2.positionFile = /var/taildir2_position.json
a3.sources.s2.filegroups = f2
a3.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a3.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a3.sources.s2.maxBatchCount = 1000
# kafka channel充当生产者
a3.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
a3.channels.c2.brokerList = 192.168.40.203:9092
a3.channels.c2.zookeeperConnect=192.168.40.203:2181/kafka
a3.channels.c2.topic = recv_test
#false表示是以纯文本的形式写进入的true是以event的形式写进入的以event写进入时会出现乱码 默认是true
a3.channels.c2.parseAsFlumeEvent = false
a3.channels.c2.kafka.producer.acks = 1
a3.channels.c2.producer.type=async
a3.channels.c2.queue.buffering.max.ms = 5000
a3.channels.c2.queue.buffering.max.messages=20000
a3.channels.c2.batch.num.messages=500

View File

@@ -0,0 +1,68 @@
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Define some default values that can be overridden by system properties.
#
# For testing, it may also be convenient to specify
# -Dflume.root.logger=DEBUG,console when launching flume.
#flume.root.logger=DEBUG,console
flume.root.logger=INFO,LOGFILE
flume.log.dir=./logs
flume.log.file=flume.log
log4j.logger.org.apache.flume.lifecycle = INFO
log4j.logger.org.jboss = WARN
log4j.logger.org.mortbay = INFO
log4j.logger.org.apache.avro.ipc.NettyTransceiver = WARN
log4j.logger.org.apache.hadoop = INFO
log4j.logger.org.apache.hadoop.hive = ERROR
# Define the root logger to the system property "flume.root.logger".
log4j.rootLogger=${flume.root.logger}
# Stock log4j rolling file appender
# Default log rotation configuration
log4j.appender.LOGFILE=org.apache.log4j.RollingFileAppender
log4j.appender.LOGFILE.MaxFileSize=100MB
log4j.appender.LOGFILE.MaxBackupIndex=10
log4j.appender.LOGFILE.File=${flume.log.dir}/${flume.log.file}
log4j.appender.LOGFILE.layout=org.apache.log4j.PatternLayout
log4j.appender.LOGFILE.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# Warning: If you enable the following appender it will fill up your disk if you don't have a cleanup job!
# This uses the updated rolling file appender from log4j-extras that supports a reliable time-based rolling policy.
# See http://logging.apache.org/log4j/companions/extras/apidocs/org/apache/log4j/rolling/TimeBasedRollingPolicy.html
# Add "DAILY" to flume.root.logger above if you want to use this
log4j.appender.DAILY=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.DAILY.rollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.DAILY.rollingPolicy.ActiveFileName=${flume.log.dir}/${flume.log.file}
log4j.appender.DAILY.rollingPolicy.FileNamePattern=${flume.log.dir}/${flume.log.file}.%d{yyyy-MM-dd}
log4j.appender.DAILY.layout=org.apache.log4j.PatternLayout
log4j.appender.DAILY.layout.ConversionPattern=%d{dd MMM yyyy HH:mm:ss,SSS} %-5p [%t] (%C.%M:%L) %x - %m%n
# console
# Add "console" to flume.root.logger above if you want to use this
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d (%t) [%p - %l] %m%n

View File

@@ -0,0 +1,34 @@
a2.sources = s2
a2.channels = c2
a2.sinks = k2
#指定source收集到的数据发送到哪个管道
a2.sources.s2.channels = c2
a2.sources.s2.type = TAILDIR
a2.sources.s2.channels = c2
a2.sources.s2.positionFile = /home/test/taildir_position.json
a2.sources.s2.filegroups = f1 f2
a2.sources.s2.filegroups.f1 = /home/test/log1/.*dat
a2.sources.s2.headers.f1.headerKey1 = value1
a2.sources.s2.filegroups.f2 = /home/test/log2/.*dat
a2.sources.s2.headers.f2.headerKey1 = value2
a2.sources.s2.headers.f2.headerKey2 = value2-2
a2.sources.s2.fileHeader = true
a2.sources.s2.maxBatchCount = 1000
#指定channel为memory,即表示所有的数据都装进memory当中
a2.channels.c2.type = memory
a2.channels.c2.capacity = 2000000
a2.channels.c2.transactionCapacity = 30000
a2.channels.c2.byteCapacityBufferPercentage = 40
a2.channels.c2.byteCapacity = 2147483648
#原始file roll sink将数据写到本机磁盘
a2.sinks.k2.type = file_roll
a2.sinks.k2.channel = c2
a2.sinks.k2.sink.pathManager = default
a2.sinks.k2.sink.pathManager.extension = dat
a2.sinks.k2.sink.pathManager.prefix = recv-
a2.sinks.k2.sink.rollInterval = 60
a2.sinks.k2.sink.directory = /home/test/recv1

View File

@@ -0,0 +1,68 @@
##############################################################
20200513184750 ---> the connection_k2f_APP restart ---> 1
20200513184800 ---> the connection_k2f_APP restart ---> 1
20200513184810 ---> the connection_k2f_APP restart ---> 1
20200513184820 ---> the connection_k2f_APP restart ---> 1
20200513184830 ---> the connection_k2f_APP restart ---> 1
20200513184840 ---> the connection_k2f_APP restart ---> 1
20200513184850 ---> the connection_k2f_APP restart ---> 1
20200513184900 ---> the connection_k2f_APP restart ---> 1
20200513184910 ---> the connection_k2f_APP restart ---> 1
20200513184920 ---> the connection_k2f_APP restart ---> 1
20200513184930 ---> the connection_k2f_APP restart ---> 1
20200513184940 ---> the connection_k2f_APP restart ---> 1
20200513184950 ---> the connection_k2f_APP restart ---> 1
20200513185000 ---> the connection_k2f_APP restart ---> 1
20200513185010 ---> the connection_k2f_APP restart ---> 1
20200513185020 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185029 ---> the connection_k2f_APP restart ---> 1
20200513185030 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185036 ---> the connection_k2f_APP restart ---> 1
20200513185040 ---> the connection_k2f_APP restart ---> 1
20200513185050 ---> the connection_k2f_APP restart ---> 1
20200513185100 ---> the connection_k2f_APP restart ---> 1
20200513185110 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185120 ---> the connection_k2f_APP restart ---> 1
20200513185241 ---> the connection_k2f_APP restart ---> 1
20200513185251 ---> the connection_k2f_APP restart ---> 1
20200513185301 ---> the connection_k2f_APP restart ---> 1
20200513185311 ---> the connection_k2f_APP restart ---> 1
20200513185321 ---> the connection_k2f_APP restart ---> 1
20200513185331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513185405 ---> the connection_k2f_APP restart ---> 1
20200513185611 ---> the connection_k2f_APP restart ---> 1
20200513185621 ---> the connection_k2f_APP restart ---> 1
20200513185701 ---> the connection_k2f_APP restart ---> 1
20200513185741 ---> the connection_k2f_APP restart ---> 1
20200513185752 ---> the connection_k2f_APP restart ---> 1
20200513185802 ---> the connection_k2f_APP restart ---> 1
20200513185812 ---> the connection_k2f_APP restart ---> 1
20200513185822 ---> the connection_k2f_APP restart ---> 1
20200513185832 ---> the connection_k2f_APP restart ---> 1
20200513185922 ---> the connection_k2f_APP restart ---> 1
20200513185932 ---> the connection_k2f_APP restart ---> 1
20200513185942 ---> the connection_k2f_APP restart ---> 1
20200513185952 ---> the connection_k2f_APP restart ---> 1
20200513190002 ---> the connection_k2f_APP restart ---> 1
20200513190012 ---> the connection_k2f_APP restart ---> 1
20200513190022 ---> the connection_k2f_APP restart ---> 1
20200513190032 ---> the connection_k2f_APP restart ---> 1
20200513190152 ---> the connection_k2f_APP restart ---> 1
20200513190202 ---> the connection_k2f_APP restart ---> 1
20200513190212 ---> the connection_k2f_APP restart ---> 1
20200513190222 ---> the connection_k2f_APP restart ---> 1
20200513190232 ---> the connection_k2f_APP restart ---> 1
20200513190242 ---> the connection_k2f_APP restart ---> 1
20200513190252 ---> the connection_k2f_APP restart ---> 1
20200513190302 ---> the connection_k2f_APP restart ---> 1
20200513190312 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513190331 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192014 ---> the connection_k2f_APP restart ---> 1
##############################################################
20200513192212 ---> the connection_k2f_APP restart ---> 1

View File

@@ -0,0 +1,213 @@
##############################################################
20200509174727 ---> the f2k_APP restart ---> 0
20200509174737 ---> the f2k_APP restart ---> 1
##############################################################
##############################################################
##############################################################
##############################################################
##############################################################
20200511183420 ---> the f2k_APP restart ---> 1
20200511183430 ---> the f2k_APP restart ---> 2
##############################################################
20200511183639 ---> the f2k_APP restart ---> 1
20200511183649 ---> the f2k_APP restart ---> 2
20200511183659 ---> the f2k_APP restart ---> 3
20200511183709 ---> the f2k_APP restart ---> 4
20200511183719 ---> the f2k_APP restart ---> 5
20200511183729 ---> the f2k_APP restart ---> 6
20200511183739 ---> the f2k_APP restart ---> 7
20200511183749 ---> the f2k_APP restart ---> 8
20200511183759 ---> the f2k_APP restart ---> 9
20200511183809 ---> the f2k_APP restart ---> 10
20200511183819 ---> the f2k_APP restart ---> 11
20200511183829 ---> the f2k_APP restart ---> 12
20200511183839 ---> the f2k_APP restart ---> 13
20200511183849 ---> the f2k_APP restart ---> 14
20200511183859 ---> the f2k_APP restart ---> 15
20200511183909 ---> the f2k_APP restart ---> 16
20200511183919 ---> the f2k_APP restart ---> 17
20200511183930 ---> the f2k_APP restart ---> 18
20200511183940 ---> the f2k_APP restart ---> 19
20200511183950 ---> the f2k_APP restart ---> 20
20200511184000 ---> the f2k_APP restart ---> 21
20200511184010 ---> the f2k_APP restart ---> 22
20200511184020 ---> the f2k_APP restart ---> 23
20200511184030 ---> the f2k_APP restart ---> 24
20200511184040 ---> the f2k_APP restart ---> 25
20200511184050 ---> the f2k_APP restart ---> 26
20200511184100 ---> the f2k_APP restart ---> 27
20200511184110 ---> the f2k_APP restart ---> 28
20200511184120 ---> the f2k_APP restart ---> 29
20200511184130 ---> the f2k_APP restart ---> 30
20200511184140 ---> the f2k_APP restart ---> 31
20200511184150 ---> the f2k_APP restart ---> 32
20200511184200 ---> the f2k_APP restart ---> 33
20200511184210 ---> the f2k_APP restart ---> 34
20200511184220 ---> the f2k_APP restart ---> 35
20200511184230 ---> the f2k_APP restart ---> 36
20200511184240 ---> the f2k_APP restart ---> 37
20200511184250 ---> the f2k_APP restart ---> 38
20200511184300 ---> the f2k_APP restart ---> 39
20200511184310 ---> the f2k_APP restart ---> 40
20200511184321 ---> the f2k_APP restart ---> 41
20200511184331 ---> the f2k_APP restart ---> 42
20200511184341 ---> the f2k_APP restart ---> 43
20200511184351 ---> the f2k_APP restart ---> 44
20200511184401 ---> the f2k_APP restart ---> 45
20200511184411 ---> the f2k_APP restart ---> 46
20200511184421 ---> the f2k_APP restart ---> 47
20200511184431 ---> the f2k_APP restart ---> 48
20200511184441 ---> the f2k_APP restart ---> 49
20200511184451 ---> the f2k_APP restart ---> 50
20200511184501 ---> the f2k_APP restart ---> 51
20200511184511 ---> the f2k_APP restart ---> 52
20200511184521 ---> the f2k_APP restart ---> 53
20200511184531 ---> the f2k_APP restart ---> 54
20200511184541 ---> the f2k_APP restart ---> 55
20200511184551 ---> the f2k_APP restart ---> 56
20200511184601 ---> the f2k_APP restart ---> 57
20200511184611 ---> the f2k_APP restart ---> 58
20200511184621 ---> the f2k_APP restart ---> 59
20200511184631 ---> the f2k_APP restart ---> 60
20200511184641 ---> the f2k_APP restart ---> 61
20200511184651 ---> the f2k_APP restart ---> 62
20200511184701 ---> the f2k_APP restart ---> 63
20200511184711 ---> the f2k_APP restart ---> 64
20200511184721 ---> the f2k_APP restart ---> 65
20200511184732 ---> the f2k_APP restart ---> 66
20200511184742 ---> the f2k_APP restart ---> 67
20200511184752 ---> the f2k_APP restart ---> 68
20200511184802 ---> the f2k_APP restart ---> 69
20200511184812 ---> the f2k_APP restart ---> 70
20200511184822 ---> the f2k_APP restart ---> 71
##############################################################
20200511185311 ---> the f2k_APP restart ---> 1
##############################################################
20200511185421 ---> the f2k_APP restart ---> 1
##############################################################
20200511185532 ---> the f2k_APP restart ---> 1
20200511185542 ---> the f2k_APP restart ---> 1
20200511185552 ---> the f2k_APP restart ---> 1
##############################################################
20200511185706 ---> the f2k_APP restart ---> 1
20200511185716 ---> the f2k_APP restart ---> 1+1
20200511185726 ---> the f2k_APP restart ---> 2+1
##############################################################
20200511185837 ---> the f2k_APP restart ---> 1
##############################################################
20200511185938 ---> the f2k_APP restart ---> 1
##############################################################
20200511190054 ---> the f2k_APP restart ---> 1
20200511190104 ---> the f2k_APP restart ---> 1+1
##############################################################
20200511190604 ---> the f2k_APP restart ---> 1
20200511190614 ---> the f2k_APP restart ---> 0
20200511190624 ---> the f2k_APP restart ---> 1
20200511190634 ---> the f2k_APP restart ---> 0
##############################################################
20200511190729 ---> the f2k_APP restart ---> 1
20200511190739 ---> the f2k_APP restart ---> 1
20200511190749 ---> the f2k_APP restart ---> 1
##############################################################
20200511190950 ---> the f2k_APP restart ---> 1
20200511191000 ---> the f2k_APP restart ---> 2
20200511191010 ---> the f2k_APP restart ---> 1
##############################################################
20200511191834 ---> the f2k_APP restart ---> 1
20200511191844 ---> the f2k_APP restart ---> 2
##############################################################
20200511192013 ---> the f2k_APP restart ---> 1
##############################################################
20200511192134 ---> the f2k_APP restart ---> 1
20200511192144 ---> the f2k_APP restart ---> 2
20200511192154 ---> the f2k_APP restart ---> 1
20200511192204 ---> the f2k_APP restart ---> 2
##############################################################
##############################################################
##############################################################
##############################################################
20200511193630 ---> the f2k_APP restart ---> 1
20200511193640 ---> the f2k_APP restart ---> 2
##############################################################
20200512101249 ---> the f2k_APP restart ---> 1
20200512101259 ---> the f2k_APP restart ---> 2
20200512101309 ---> the f2k_APP restart ---> 1
##############################################################
20200512101433 ---> the f2k_APP restart ---> 1
##############################################################
20200512101537 ---> the f2k_APP restart ---> 1
20200512101547 ---> the f2k_APP restart ---> 2
20200512101557 ---> the f2k_APP restart ---> 3
20200512101707 ---> the f2k_APP restart ---> 1
##############################################################
20200512102643 ---> the f2k_APP restart ---> 1
20200512102653 ---> the f2k_APP restart ---> 2
##############################################################
20200512102723 ---> the f2k_APP restart ---> 1
20200512102733 ---> the f2k_APP restart ---> 2
20200512102743 ---> the f2k_APP restart ---> 3
##############################################################
20200512102936 ---> the f2k_APP restart ---> 1
20200512102946 ---> the f2k_APP restart ---> 2
20200512102956 ---> the f2k_APP restart ---> 3
##############################################################
20200512103250 ---> the f2k_APP restart ---> 1
20200512103300 ---> the f2k_APP restart ---> 2
20200512103310 ---> the f2k_APP restart ---> 3
##############################################################
20200512113819 ---> the f2k_APP restart ---> 1
20200512113829 ---> the f2k_APP restart ---> 2
20200512113839 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512114211 ---> the f2k_APP restart ---> 1
20200512114241 ---> the f2k_APP restart ---> 2
##############################################################
20200512114550 ---> the f2k_APP restart ---> 1
20200512114600 ---> the f2k_APP restart ---> 2
20200512114610 ---> the f2k_APP restart ---> 3
##############################################################
##############################################################
20200512115341 ---> the f2k_APP restart ---> 1
20200512115351 ---> the f2k_APP restart ---> 2
20200512115401 ---> the f2k_APP restart ---> 3
20200512115452 ---> the f2k_APP restart ---> 1
20200512115502 ---> the f2k_APP restart ---> 2
20200512115512 ---> the f2k_APP restart ---> 3
20200512115712 ---> the f2k_APP restart ---> 1
20200512115722 ---> the f2k_APP restart ---> 2
20200512115732 ---> the f2k_APP restart ---> 3
##############################################################
20200512115933 ---> the f2k_APP restart ---> 1
20200512115943 ---> the f2k_APP restart ---> 2
20200512115953 ---> the f2k_APP restart ---> 3
##############################################################
20200512134239 ---> the f2k_APP restart ---> 1
20200512134249 ---> the f2k_APP restart ---> 2
20200512134259 ---> the f2k_APP restart ---> 3
20200512134509 ---> the f2k_APP restart ---> 1
20200512134519 ---> the f2k_APP restart ---> 2
20200512134530 ---> the f2k_APP restart ---> 3
20200512140003 ---> the f2k_APP restart ---> 1
20200512140013 ---> the f2k_APP restart ---> 2
20200512141056 ---> the f2k_APP restart ---> 1
20200512141106 ---> the f2k_APP restart ---> 2
20200512141116 ---> the f2k_APP restart ---> 3
20200512142500 ---> the f2k_APP restart ---> 1
20200512142510 ---> the f2k_APP restart ---> 2
20200512142941 ---> the f2k_APP restart ---> 1
20200512142951 ---> the f2k_APP restart ---> 2
20200512143001 ---> the f2k_APP restart ---> 3
20200512143031 ---> the f2k_APP restart ---> 1
20200512143041 ---> the f2k_APP restart ---> 2
20200512143051 ---> the f2k_APP restart ---> 3
20200512144224 ---> the f2k_APP restart ---> 1
20200512144234 ---> the f2k_APP restart ---> 2
20200512144314 ---> the f2k_APP restart ---> 1
20200512144324 ---> the f2k_APP restart ---> 2
20200512144355 ---> the f2k_APP restart ---> 1
20200512144405 ---> the f2k_APP restart ---> 2
20200512144415 ---> the f2k_APP restart ---> 3
20200512144635 ---> the f2k_APP restart ---> 1
20200512144645 ---> the f2k_APP restart ---> 2
20200512144655 ---> the f2k_APP restart ---> 3

View File

@@ -0,0 +1,134 @@
##############################################################
20200512180055 ---> the security_f2k_APP restart ---> 1
20200512180105 ---> the security_f2k_APP restart ---> 2
##############################################################
20200512180108 ---> the security_f2k_APP restart ---> 1
20200512180115 ---> the security_f2k_APP restart ---> 3
20200512180118 ---> the security_f2k_APP restart ---> 2
20200512180125 ---> the security_f2k_APP restart ---> 1
20200512180128 ---> the security_f2k_APP restart ---> 3
20200512180135 ---> the security_f2k_APP restart ---> 2
20200512180138 ---> the security_f2k_APP restart ---> 1
20200512180145 ---> the security_f2k_APP restart ---> 3
20200512180148 ---> the security_f2k_APP restart ---> 2
20200512180155 ---> the security_f2k_APP restart ---> 1
20200512180158 ---> the security_f2k_APP restart ---> 3
20200512180206 ---> the security_f2k_APP restart ---> 2
20200512180208 ---> the security_f2k_APP restart ---> 1
20200512180216 ---> the security_f2k_APP restart ---> 3
20200512180218 ---> the security_f2k_APP restart ---> 2
20200512180226 ---> the security_f2k_APP restart ---> 1
20200512180228 ---> the security_f2k_APP restart ---> 3
20200512180236 ---> the security_f2k_APP restart ---> 2
20200512180238 ---> the security_f2k_APP restart ---> 1
20200512180246 ---> the security_f2k_APP restart ---> 3
20200512180248 ---> the security_f2k_APP restart ---> 2
20200512180256 ---> the security_f2k_APP restart ---> 1
20200512180258 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180513 ---> the security_f2k_APP restart ---> 1
20200512180523 ---> the security_f2k_APP restart ---> 2
20200512180533 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the security_f2k_APP restart ---> 1
20200512180546 ---> the security_f2k_APP restart ---> 2
20200512180556 ---> the security_f2k_APP restart ---> 3
20200512180626 ---> the security_f2k_APP restart ---> 1
20200512180637 ---> the security_f2k_APP restart ---> 2
20200512180707 ---> the security_f2k_APP restart ---> 1
20200512180717 ---> the security_f2k_APP restart ---> 2
20200512180747 ---> the security_f2k_APP restart ---> 1
20200512180757 ---> the security_f2k_APP restart ---> 2
20200512180827 ---> the security_f2k_APP restart ---> 1
20200512180837 ---> the security_f2k_APP restart ---> 2
20200512180907 ---> the security_f2k_APP restart ---> 1
20200512180917 ---> the security_f2k_APP restart ---> 2
20200512180947 ---> the security_f2k_APP restart ---> 1
20200512180957 ---> the security_f2k_APP restart ---> 2
20200512181028 ---> the security_f2k_APP restart ---> 1
20200512181038 ---> the security_f2k_APP restart ---> 2
20200512181108 ---> the security_f2k_APP restart ---> 1
20200512181118 ---> the security_f2k_APP restart ---> 2
20200512181148 ---> the security_f2k_APP restart ---> 1
20200512181158 ---> the security_f2k_APP restart ---> 2
20200512181228 ---> the security_f2k_APP restart ---> 1
20200512181238 ---> the security_f2k_APP restart ---> 2
20200512181308 ---> the security_f2k_APP restart ---> 1
20200512181318 ---> the security_f2k_APP restart ---> 2
20200512181348 ---> the security_f2k_APP restart ---> 1
20200512181358 ---> the security_f2k_APP restart ---> 2
20200512181429 ---> the security_f2k_APP restart ---> 1
20200512181439 ---> the security_f2k_APP restart ---> 2
20200512181449 ---> the security_f2k_APP restart ---> 3
20200512181519 ---> the security_f2k_APP restart ---> 1
20200512181529 ---> the security_f2k_APP restart ---> 2
20200512181539 ---> the security_f2k_APP restart ---> 3
20200512181609 ---> the security_f2k_APP restart ---> 1
20200512181619 ---> the security_f2k_APP restart ---> 2
20200512181649 ---> the security_f2k_APP restart ---> 1
20200512181659 ---> the security_f2k_APP restart ---> 2
20200512181729 ---> the security_f2k_APP restart ---> 1
20200512181739 ---> the security_f2k_APP restart ---> 2
20200512181809 ---> the security_f2k_APP restart ---> 1
20200512181820 ---> the security_f2k_APP restart ---> 2
20200512181850 ---> the security_f2k_APP restart ---> 1
20200512181900 ---> the security_f2k_APP restart ---> 2
20200512181910 ---> the security_f2k_APP restart ---> 3
20200512181920 ---> the security_f2k_APP restart ---> 1
20200512181930 ---> the security_f2k_APP restart ---> 2
20200512181940 ---> the security_f2k_APP restart ---> 3
20200512181950 ---> the security_f2k_APP restart ---> 1
20200512182000 ---> the security_f2k_APP restart ---> 2
20200512182010 ---> the security_f2k_APP restart ---> 3
20200512182020 ---> the security_f2k_APP restart ---> 1
20200512182030 ---> the security_f2k_APP restart ---> 2
20200512182040 ---> the security_f2k_APP restart ---> 3
20200512182050 ---> the security_f2k_APP restart ---> 1
20200512182100 ---> the security_f2k_APP restart ---> 2
20200512182110 ---> the security_f2k_APP restart ---> 3
20200512182120 ---> the security_f2k_APP restart ---> 1
20200512182130 ---> the security_f2k_APP restart ---> 2
20200512182140 ---> the security_f2k_APP restart ---> 3
20200512182150 ---> the security_f2k_APP restart ---> 1
20200512182200 ---> the security_f2k_APP restart ---> 2
20200512182211 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512183204 ---> the security_f2k_APP restart ---> 1
20200512183215 ---> the security_f2k_APP restart ---> 2
20200512183225 ---> the security_f2k_APP restart ---> 3
20200512183255 ---> the security_f2k_APP restart ---> 1
20200512183305 ---> the security_f2k_APP restart ---> 2
20200512183335 ---> the security_f2k_APP restart ---> 1
20200512183345 ---> the security_f2k_APP restart ---> 2
20200512183415 ---> the security_f2k_APP restart ---> 1
20200512183425 ---> the security_f2k_APP restart ---> 2
20200512183455 ---> the security_f2k_APP restart ---> 1
20200512183505 ---> the security_f2k_APP restart ---> 2
20200512183535 ---> the security_f2k_APP restart ---> 1
20200512183545 ---> the security_f2k_APP restart ---> 2
20200512183615 ---> the security_f2k_APP restart ---> 1
20200512183626 ---> the security_f2k_APP restart ---> 2
20200512183656 ---> the security_f2k_APP restart ---> 1
20200512183706 ---> the security_f2k_APP restart ---> 2
20200512183716 ---> the security_f2k_APP restart ---> 3
20200512183726 ---> the security_f2k_APP restart ---> 1
20200512183736 ---> the security_f2k_APP restart ---> 2
20200512183746 ---> the security_f2k_APP restart ---> 3
20200512183756 ---> the security_f2k_APP restart ---> 1
20200512183806 ---> the security_f2k_APP restart ---> 2
20200512183836 ---> the security_f2k_APP restart ---> 1
20200512183846 ---> the security_f2k_APP restart ---> 2
20200512183916 ---> the security_f2k_APP restart ---> 1
20200512183926 ---> the security_f2k_APP restart ---> 2
20200512183936 ---> the security_f2k_APP restart ---> 3
20200512184006 ---> the security_f2k_APP restart ---> 1
20200512184016 ---> the security_f2k_APP restart ---> 2
20200512184027 ---> the security_f2k_APP restart ---> 3
20200512184037 ---> the security_f2k_APP restart ---> 1
20200512184047 ---> the security_f2k_APP restart ---> 2
20200512184057 ---> the security_f2k_APP restart ---> 3
20200512184107 ---> the security_f2k_APP restart ---> 1
20200512184117 ---> the security_f2k_APP restart ---> 2
20200512184127 ---> the security_f2k_APP restart ---> 3
20200512184157 ---> the security_f2k_APP restart ---> 1
20200512184207 ---> the security_f2k_APP restart ---> 2

View File

@@ -0,0 +1,22 @@
#为source channel sink起名
security.channels = c1
security.sinks = k1
#指定channel为kafka channel,省略source使得效率更高
security.channels.c1.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c1.kafka.bootstrap.servers = 192.168.40.152:9092
security.channels.c1.kafka.topic = SECURITY-EVENT-LOG
security.channels.c1.kafka.consumer.group.id = lxk_0514
security.channels.c1.kafka.consumer.auto.offset.reset = latest
security.channels.c1.kafka.consumer.enable.auto.commit = true
security.channels.c1.kafka.consumer.fetch.max.wait.ms = 1000
security.channels.c1.kafka.consumer.fetch.min.bytes = 1048576
security.channels.c1.parseAsFlumeEvent = false
#原始file roll sink将数据写到本机磁盘
security.sinks.k1.type = file_roll
security.sinks.k1.channel = c1
security.sinks.k1.sink.pathManager = default
security.sinks.k1.sink.pathManager.extension = dat
security.sinks.k1.sink.pathManager.prefix = test-
security.sinks.k1.sink.rollInterval = 30
security.sinks.k1.sink.directory = /home/192.168.60.101/SECURITY-EVENT-LOG

View File

@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
DAE_FILE=$(cd $(dirname $0); ls | grep dae*)
nohup ${BASE_DIR}/$DAE_FILE >/dev/null 2>&1 &

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