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内部应用服务器flume初始版本

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yangwei@iie.ac.cn
2020-05-12 19:03:13 +08:00
commit baaa068d3c
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10
internal-flume/conf/connection/clean_start_flume.sh Executable file
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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 &

40
internal-flume/conf/connection/connection_f2k1.properties Normal file
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connection.sources = s2
connection.channels = c2
#指定source收集到的数据发送到哪个管道
connection.sources.s2.channels = c2
#taildir source
connection.sources.s2.type = TAILDIR
connection.sources.s2.channels = c2
#需要映射到宿主机做持久化
connection.sources.s2.positionFile = /home/test/1connection_position.json
#需要分组13台主机的数据
connection.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
connection.sources.s2.filegroups.f1 = /home/data/192.168.60.101/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f2 = /home/data/192.168.60.102/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f3 = /home/data/192.168.60.103/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f4 = /home/data/192.168.60.104/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f5 = /home/data/192.168.60.105/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f6 = /home/data/192.168.60.106/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f7 = /home/data/192.168.60.107/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f8 = /home/data/192.168.60.108/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f9 = /home/data/192.168.60.109/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f10 = /home/data/192.168.60.110/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f11 = /home/data/192.168.60.111/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f12 = /home/data/192.168.60.112/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.filegroups.f13 = /home/data/192.168.60.113/CONNECTION-RECORD-LOG\CONNECTION-RECORD-LOG/.*[0-1].dat
connection.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
connection.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c2.brokerList = 192.168.40.222:9093
connection.channels.c2.topic = CONNECTION-RECORD-LOG
#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
connection.channels.c2.parseAsFlumeEvent = false
connection.channels.c2.kafka.producer.acks = 1
connection.channels.c2.producer.type=sync
connection.channels.c2.queue.buffering.max.ms = 5000
connection.channels.c2.queue.buffering.max.messages=20000
connection.channels.c2.batch.num.messages=5000

40
internal-flume/conf/connection/connection_f2k2.properties Normal file
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connection.sources = s2
connection.channels = c2
#指定source收集到的数据发送到哪个管道
connection.sources.s2.channels = c2
#taildir source
connection.sources.s2.type = TAILDIR
connection.sources.s2.channels = c2
#需要映射到宿主机做持久化
connection.sources.s2.positionFile = /home/test/2connection_position.json
#需要分组13台主机的数据
connection.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
connection.sources.s2.filegroups.f1 = /home/data/192.168.60.101/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f2 = /home/data/192.168.60.102/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f3 = /home/data/192.168.60.103/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f4 = /home/data/192.168.60.104/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f5 = /home/data/192.168.60.105/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f6 = /home/data/192.168.60.106/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f7 = /home/data/192.168.60.107/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f8 = /home/data/192.168.60.108/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f9 = /home/data/192.168.60.109/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f10 = /home/data/192.168.60.110/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f11 = /home/data/192.168.60.111/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f12 = /home/data/192.168.60.112/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.filegroups.f13 = /home/data/192.168.60.113/CONNECTION-RECORD-LOG/CONNECTION-RECORD-LOG/.*[2-3].dat
connection.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
connection.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c2.brokerList = 192.168.40.222:9093
connection.channels.c2.topic = CONNECTION-RECORD-LOG
#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
connection.channels.c2.parseAsFlumeEvent = false
connection.channels.c2.kafka.producer.acks = 1
connection.channels.c2.producer.type=sync
connection.channels.c2.queue.buffering.max.ms = 5000
connection.channels.c2.queue.buffering.max.messages=20000
connection.channels.c2.batch.num.messages=5000

40
internal-flume/conf/connection/connection_f2k3.properties Normal file
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connection.sources = s2
connection.channels = c2
#指定source收集到的数据发送到哪个管道
connection.sources.s2.channels = c2
#taildir source
connection.sources.s2.type = TAILDIR
connection.sources.s2.channels = c2
#需要映射到宿主机做持久化
connection.sources.s2.positionFile = /home/test/3connection_position.json
#需要分组13台主机的数据
connection.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
connection.sources.s2.filegroups.f1 = /home/data/192.168.60.101/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f2 = /home/data/192.168.60.102/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f3 = /home/data/192.168.60.103/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f4 = /home/data/192.168.60.104/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f5 = /home/data/192.168.60.105/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f6 = /home/data/192.168.60.106/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f7 = /home/data/192.168.60.107/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f8 = /home/data/192.168.60.108/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f9 = /home/data/192.168.60.109/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f10 = /home/data/192.168.60.110/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f11 = /home/data/192.168.60.111/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f12 = /home/data/192.168.60.112/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.filegroups.f13 = /home/data/192.168.60.113/CONNECTION-RECORD-LOG/.*[4-5].dat
connection.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
connection.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c2.brokerList = 192.168.40.222:9093
connection.channels.c2.topic = CONNECTION-RECORD-LOG
#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
connection.channels.c2.parseAsFlumeEvent = false
connection.channels.c2.kafka.producer.acks = 1
connection.channels.c2.producer.type=sync
connection.channels.c2.queue.buffering.max.ms = 5000
connection.channels.c2.queue.buffering.max.messages=20000
connection.channels.c2.batch.num.messages=5000

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internal-flume/conf/connection/connection_f2k4.properties Normal file
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connection.sources = s2
connection.channels = c2
#指定source收集到的数据发送到哪个管道
connection.sources.s2.channels = c2
#taildir source
connection.sources.s2.type = TAILDIR
connection.sources.s2.channels = c2
#需要映射到宿主机做持久化
connection.sources.s2.positionFile = /home/test/4connection_position.json
#需要分组13台主机的数据
connection.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
connection.sources.s2.filegroups.f1 = /home/data/192.168.60.101/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f2 = /home/data/192.168.60.102/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f3 = /home/data/192.168.60.103/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f4 = /home/data/192.168.60.104/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f5 = /home/data/192.168.60.105/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f6 = /home/data/192.168.60.106/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f7 = /home/data/192.168.60.107/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f8 = /home/data/192.168.60.108/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f9 = /home/data/192.168.60.109/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f10 = /home/data/192.168.60.110/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f11 = /home/data/192.168.60.111/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f12 = /home/data/192.168.60.112/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.filegroups.f13 = /home/data/192.168.60.113/CONNECTION-RECORD-LOG/.*[6-7].dat
connection.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
connection.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c2.brokerList = 192.168.40.222:9093
connection.channels.c2.topic = CONNECTION-RECORD-LOG
#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
connection.channels.c2.parseAsFlumeEvent = false
connection.channels.c2.kafka.producer.acks = 1
connection.channels.c2.producer.type=sync
connection.channels.c2.queue.buffering.max.ms = 5000
connection.channels.c2.queue.buffering.max.messages=20000
connection.channels.c2.batch.num.messages=5000

40
internal-flume/conf/connection/connection_f2k5.properties Normal file
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connection.sources = s2
connection.channels = c2
#指定source收集到的数据发送到哪个管道
connection.sources.s2.channels = c2
#taildir source
connection.sources.s2.type = TAILDIR
connection.sources.s2.channels = c2
#需要映射到宿主机做持久化
connection.sources.s2.positionFile = /home/test/5connection_position.json
#需要分组13台主机的数据
connection.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
connection.sources.s2.filegroups.f1 = /home/data/192.168.60.101/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f2 = /home/data/192.168.60.102/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f3 = /home/data/192.168.60.103/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f4 = /home/data/192.168.60.104/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f5 = /home/data/192.168.60.105/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f6 = /home/data/192.168.60.106/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f7 = /home/data/192.168.60.107/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f8 = /home/data/192.168.60.108/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f9 = /home/data/192.168.60.109/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f10 = /home/data/192.168.60.110/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f11 = /home/data/192.168.60.111/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f12 = /home/data/192.168.60.112/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.filegroups.f13 = /home/data/192.168.60.113/CONNECTION-RECORD-LOG/.*[8-9].dat
connection.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
connection.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
connection.channels.c2.brokerList = 192.168.40.222:9093
connection.channels.c2.topic = CONNECTION-RECORD-LOG
#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
connection.channels.c2.parseAsFlumeEvent = false
connection.channels.c2.kafka.producer.acks = 1
connection.channels.c2.producer.type=sync
connection.channels.c2.queue.buffering.max.ms = 5000
connection.channels.c2.queue.buffering.max.messages=20000
connection.channels.c2.batch.num.messages=5000

15
internal-flume/conf/connection/count_flume.sh Executable file
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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep f2k* | grep .properties$`
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 "5" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

39
internal-flume/conf/connection/dae_connection.sh Executable file
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#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=connection_f2k
#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=5
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}$id.properties >/dev/null 2>&1 &
echo "${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

35
internal-flume/conf/connection/flume-env.sh Executable file
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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=""

22
internal-flume/conf/connection/restart_log/restart_connection_f2k.log Normal file
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##############################################################
20200512180513 ---> the connection_f2k_APP restart ---> 1
20200512180523 ---> the connection_f2k_APP restart ---> 2
20200512180533 ---> the connection_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the connection_f2k_APP restart ---> 1
20200512180546 ---> the connection_f2k_APP restart ---> 2
20200512180556 ---> the connection_f2k_APP restart ---> 3
20200512180606 ---> the connection_f2k_APP restart ---> 4
20200512180616 ---> the connection_f2k_APP restart ---> 5
##############################################################
20200512183204 ---> the connection_f2k_APP restart ---> 1
20200512183214 ---> the connection_f2k_APP restart ---> 2
20200512183224 ---> the connection_f2k_APP restart ---> 3
20200512183234 ---> the connection_f2k_APP restart ---> 4
20200512183245 ---> the connection_f2k_APP restart ---> 5
##############################################################
20200512184503 ---> the connection_f2k_APP restart ---> 1
20200512184513 ---> the connection_f2k_APP restart ---> 2
20200512184523 ---> the connection_f2k_APP restart ---> 3
20200512184533 ---> the connection_f2k_APP restart ---> 4
20200512184543 ---> the connection_f2k_APP restart ---> 5

5
internal-flume/conf/connection/start_flume.sh Executable file
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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
nohup ${BASE_DIR}/dae_f2k.sh >/dev/null 2>&1 &

31
internal-flume/conf/connection/stop_flume.sh Executable file
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#!/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 ${BASE_DIR} | grep f2k\* | grep .properties$`
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
for jar in $JAR_NAME ; do
NUM2=`ps -ef | grep $jar | grep -v grep | wc -l`
pids2=$(ps -ef | grep $jar | 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
done

10
internal-flume/conf/k2f/clean_start_flume.sh Executable file
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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 &

15
internal-flume/conf/k2f/count_flume.sh Executable file
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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

39
internal-flume/conf/k2f/dae_f2k.sh Executable file
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#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=security_f2k
#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=3
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}$id.properties >/dev/null 2>&1 &
echo "${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

35
internal-flume/conf/k2f/flume-env.sh Executable file
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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=""

22
internal-flume/conf/k2f/k2f.properties Normal file
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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_0512
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 = 30
a1.sinks.k1.sink.directory = /home/test/log

24
internal-flume/conf/k2f/pro/2f2k.properties Normal file
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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

58
internal-flume/conf/k2f/pro/4f2k.properties Normal file
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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

24
internal-flume/conf/k2f/pro/f2k.properties Normal file
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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

23
internal-flume/conf/k2f/pro/f2k1.properties Normal file
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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

23
internal-flume/conf/k2f/pro/f2k2.properties Normal file
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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

23
internal-flume/conf/k2f/pro/f2k3.properties Normal file
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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

29
internal-flume/conf/k2f/pro/file.properties Normal file
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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

29
internal-flume/conf/k2f/pro/file1.properties Normal file
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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/log1

29
internal-flume/conf/k2f/pro/file2.properties Normal file
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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

22
internal-flume/conf/k2f/pro/k2f.properties Normal file
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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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internal-flume/conf/k2f/pro/kafka.properties Normal file
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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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internal-flume/conf/k2f/pro/kafka1.properties Normal file
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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

25
internal-flume/conf/k2f/pro/kafka2.properties Normal file
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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

68
internal-flume/conf/k2f/pro/log4j.properties Normal file
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

34
internal-flume/conf/k2f/pro/tail.properties Normal file
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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

213
internal-flume/conf/k2f/restart_log/restart_f2k.log Normal file
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

134
internal-flume/conf/k2f/restart_log/restart_security_f2k.log Normal file
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

5
internal-flume/conf/k2f/start_flume.sh Executable file
View File

@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
nohup ${BASE_DIR}/dae_f2k.sh >/dev/null 2>&1 &

28
internal-flume/conf/k2f/stop_flume.sh Executable file
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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

10
internal-flume/conf/proxy/clean_start_flume.sh Executable file
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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 &

15
internal-flume/conf/proxy/count_flume.sh Executable file
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@@ -0,0 +1,15 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep f2k* | grep .properties$`
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 "5" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

39
internal-flume/conf/proxy/dae_proxy.sh Executable file
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@@ -0,0 +1,39 @@
#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=proxy_f2k
#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=5
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}$id.properties >/dev/null 2>&1 &
echo "${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

35
internal-flume/conf/proxy/flume-env.sh Executable file
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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=""

40
internal-flume/conf/proxy/proxy_f2k1.properties Normal file
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@@ -0,0 +1,40 @@
proxy.sources = s2
proxy.channels = c2
#指定source收集到的数据发送到哪个管道
proxy.sources.s2.channels = c2
#taildir source
proxy.sources.s2.type = TAILDIR
proxy.sources.s2.channels = c2
#需要映射到宿主机做持久化
proxy.sources.s2.positionFile = /home/test/1proxy_position.json
#需要分组13台主机的数据
proxy.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
proxy.sources.s2.filegroups.f1 = /home/data/192.168.60.101/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f2 = /home/data/192.168.60.102/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f3 = /home/data/192.168.60.103/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f4 = /home/data/192.168.60.104/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f5 = /home/data/192.168.60.105/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f6 = /home/data/192.168.60.106/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f7 = /home/data/192.168.60.107/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f8 = /home/data/192.168.60.108/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f9 = /home/data/192.168.60.109/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f10 = /home/data/192.168.60.110/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f11 = /home/data/192.168.60.111/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f12 = /home/data/192.168.60.112/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.filegroups.f13 = /home/data/192.168.60.113/PROXY-EVENT-LOG/.*[0-1].dat
proxy.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
proxy.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c2.brokerList = 192.168.40.222:9093
proxy.channels.c2.topic = PROXY-EVENT-LOG
#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
proxy.channels.c2.parseAsFlumeEvent = false
proxy.channels.c2.kafka.producer.acks = 1
proxy.channels.c2.producer.type=sync
proxy.channels.c2.queue.buffering.max.ms = 5000
proxy.channels.c2.queue.buffering.max.messages=20000
proxy.channels.c2.batch.num.messages=5000

40
internal-flume/conf/proxy/proxy_f2k2.properties Normal file
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@@ -0,0 +1,40 @@
proxy.sources = s2
proxy.channels = c2
#指定source收集到的数据发送到哪个管道
proxy.sources.s2.channels = c2
#taildir source
proxy.sources.s2.type = TAILDIR
proxy.sources.s2.channels = c2
#需要映射到宿主机做持久化
proxy.sources.s2.positionFile = /home/test/2proxy_position.json
#需要分组13台主机的数据
proxy.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
proxy.sources.s2.filegroups.f1 = /home/data/192.168.60.101/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f2 = /home/data/192.168.60.102/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f3 = /home/data/192.168.60.103/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f4 = /home/data/192.168.60.104/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f5 = /home/data/192.168.60.105/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f6 = /home/data/192.168.60.106/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f7 = /home/data/192.168.60.107/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f8 = /home/data/192.168.60.108/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f9 = /home/data/192.168.60.109/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f10 = /home/data/192.168.60.110/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f11 = /home/data/192.168.60.111/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f12 = /home/data/192.168.60.112/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.filegroups.f13 = /home/data/192.168.60.113/PROXY-EVENT-LOG/.*[2-3].dat
proxy.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
proxy.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c2.brokerList = 192.168.40.222:9093
proxy.channels.c2.topic = PROXY-EVENT-LOG
#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
proxy.channels.c2.parseAsFlumeEvent = false
proxy.channels.c2.kafka.producer.acks = 1
proxy.channels.c2.producer.type=sync
proxy.channels.c2.queue.buffering.max.ms = 5000
proxy.channels.c2.queue.buffering.max.messages=20000
proxy.channels.c2.batch.num.messages=5000

40
internal-flume/conf/proxy/proxy_f2k3.properties Normal file
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@@ -0,0 +1,40 @@
proxy.sources = s2
proxy.channels = c2
#指定source收集到的数据发送到哪个管道
proxy.sources.s2.channels = c2
#taildir source
proxy.sources.s2.type = TAILDIR
proxy.sources.s2.channels = c2
#需要映射到宿主机做持久化
proxy.sources.s2.positionFile = /home/test/3proxy_position.json
#需要分组13台主机的数据
proxy.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
proxy.sources.s2.filegroups.f1 = /home/data/192.168.60.101/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f2 = /home/data/192.168.60.102/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f3 = /home/data/192.168.60.103/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f4 = /home/data/192.168.60.104/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f5 = /home/data/192.168.60.105/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f6 = /home/data/192.168.60.106/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f7 = /home/data/192.168.60.107/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f8 = /home/data/192.168.60.108/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f9 = /home/data/192.168.60.109/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f10 = /home/data/192.168.60.110/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f11 = /home/data/192.168.60.111/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f12 = /home/data/192.168.60.112/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.filegroups.f13 = /home/data/192.168.60.113/PROXY-EVENT-LOG/.*[4-5].dat
proxy.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
proxy.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c2.brokerList = 192.168.40.222:9093
proxy.channels.c2.topic = PROXY-EVENT-LOG
#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
proxy.channels.c2.parseAsFlumeEvent = false
proxy.channels.c2.kafka.producer.acks = 1
proxy.channels.c2.producer.type=sync
proxy.channels.c2.queue.buffering.max.ms = 5000
proxy.channels.c2.queue.buffering.max.messages=20000
proxy.channels.c2.batch.num.messages=5000

40
internal-flume/conf/proxy/proxy_f2k4.properties Normal file
View File

@@ -0,0 +1,40 @@
proxy.sources = s2
proxy.channels = c2
#指定source收集到的数据发送到哪个管道
proxy.sources.s2.channels = c2
#taildir source
proxy.sources.s2.type = TAILDIR
proxy.sources.s2.channels = c2
#需要映射到宿主机做持久化
proxy.sources.s2.positionFile = /home/test/4proxy_position.json
#需要分组13台主机的数据
proxy.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
proxy.sources.s2.filegroups.f1 = /home/data/192.168.60.101/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f2 = /home/data/192.168.60.102/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f3 = /home/data/192.168.60.103/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f4 = /home/data/192.168.60.104/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f5 = /home/data/192.168.60.105/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f6 = /home/data/192.168.60.106/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f7 = /home/data/192.168.60.107/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f8 = /home/data/192.168.60.108/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f9 = /home/data/192.168.60.109/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f10 = /home/data/192.168.60.110/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f11 = /home/data/192.168.60.111/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f12 = /home/data/192.168.60.112/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.filegroups.f13 = /home/data/192.168.60.113/PROXY-EVENT-LOG/.*[6-7].dat
proxy.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
proxy.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c2.brokerList = 192.168.40.222:9093
proxy.channels.c2.topic = PROXY-EVENT-LOG
#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
proxy.channels.c2.parseAsFlumeEvent = false
proxy.channels.c2.kafka.producer.acks = 1
proxy.channels.c2.producer.type=sync
proxy.channels.c2.queue.buffering.max.ms = 5000
proxy.channels.c2.queue.buffering.max.messages=20000
proxy.channels.c2.batch.num.messages=5000

40
internal-flume/conf/proxy/proxy_f2k5.properties Normal file
View File

@@ -0,0 +1,40 @@
proxy.sources = s2
proxy.channels = c2
#指定source收集到的数据发送到哪个管道
proxy.sources.s2.channels = c2
#taildir source
proxy.sources.s2.type = TAILDIR
proxy.sources.s2.channels = c2
#需要映射到宿主机做持久化
proxy.sources.s2.positionFile = /home/test/5proxy_position.json
#需要分组13台主机的数据
proxy.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
proxy.sources.s2.filegroups.f1 = /home/data/192.168.60.101/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f2 = /home/data/192.168.60.102/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f3 = /home/data/192.168.60.103/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f4 = /home/data/192.168.60.104/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f5 = /home/data/192.168.60.105/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f6 = /home/data/192.168.60.106/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f7 = /home/data/192.168.60.107/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f8 = /home/data/192.168.60.108/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f9 = /home/data/192.168.60.109/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f10 = /home/data/192.168.60.110/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f11 = /home/data/192.168.60.111/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f12 = /home/data/192.168.60.112/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.filegroups.f13 = /home/data/192.168.60.113/PROXY-EVENT-LOG/.*[8-9].dat
proxy.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
proxy.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
proxy.channels.c2.brokerList = 192.168.40.222:9093
proxy.channels.c2.topic = PROXY-EVENT-LOG
#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
proxy.channels.c2.parseAsFlumeEvent = false
proxy.channels.c2.kafka.producer.acks = 1
proxy.channels.c2.producer.type=sync
proxy.channels.c2.queue.buffering.max.ms = 5000
proxy.channels.c2.queue.buffering.max.messages=20000
proxy.channels.c2.batch.num.messages=5000

34
internal-flume/conf/proxy/restart_log/restart_proxy_f2k.log Normal file
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##############################################################
20200512174751 ---> the proxy_f2k_APP restart ---> 1
20200512174801 ---> the proxy_f2k_APP restart ---> 2
20200512174811 ---> the proxy_f2k_APP restart ---> 3
20200512174821 ---> the proxy_f2k_APP restart ---> 4
20200512174831 ---> the proxy_f2k_APP restart ---> 5
##############################################################
20200512175511 ---> the proxy_f2k_APP restart ---> 1
20200512175521 ---> the proxy_f2k_APP restart ---> 2
20200512175531 ---> the proxy_f2k_APP restart ---> 3
20200512175541 ---> the proxy_f2k_APP restart ---> 4
20200512175551 ---> the proxy_f2k_APP restart ---> 5
##############################################################
20200512180513 ---> the proxy_f2k_APP restart ---> 1
20200512180523 ---> the proxy_f2k_APP restart ---> 2
20200512180533 ---> the proxy_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the proxy_f2k_APP restart ---> 1
20200512180546 ---> the proxy_f2k_APP restart ---> 2
20200512180556 ---> the proxy_f2k_APP restart ---> 3
20200512180606 ---> the proxy_f2k_APP restart ---> 4
20200512180616 ---> the proxy_f2k_APP restart ---> 5
##############################################################
20200512183204 ---> the proxy_f2k_APP restart ---> 1
20200512183214 ---> the proxy_f2k_APP restart ---> 2
20200512183224 ---> the proxy_f2k_APP restart ---> 3
20200512183234 ---> the proxy_f2k_APP restart ---> 4
20200512183245 ---> the proxy_f2k_APP restart ---> 5
##############################################################
20200512184503 ---> the proxy_f2k_APP restart ---> 1
20200512184513 ---> the proxy_f2k_APP restart ---> 2
20200512184523 ---> the proxy_f2k_APP restart ---> 3
20200512184533 ---> the proxy_f2k_APP restart ---> 4
20200512184543 ---> the proxy_f2k_APP restart ---> 5

5
internal-flume/conf/proxy/start_flume.sh Executable file
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@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
nohup ${BASE_DIR}/dae_f2k.sh >/dev/null 2>&1 &

31
internal-flume/conf/proxy/stop_flume.sh Executable file
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#!/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 ${BASE_DIR} | grep f2k\* | grep .properties$`
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
for jar in $JAR_NAME ; do
NUM2=`ps -ef | grep $jar | grep -v grep | wc -l`
pids2=$(ps -ef | grep $jar | 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
done

10
internal-flume/conf/radius/clean_start_flume.sh Executable file
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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 &

15
internal-flume/conf/radius/count_flume.sh Executable file
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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep f2k* | grep .properties$`
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 "5" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

39
internal-flume/conf/radius/dae_radius.sh Executable file
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#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=radius_f2k
#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=5
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}$id.properties >/dev/null 2>&1 &
echo "${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

35
internal-flume/conf/radius/flume-env.sh Executable file
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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=""

40
internal-flume/conf/radius/radius_f2k1.properties Normal file
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radius.sources = s2
radius.channels = c2
#指定source收集到的数据发送到哪个管道
radius.sources.s2.channels = c2
#taildir source
radius.sources.s2.type = TAILDIR
radius.sources.s2.channels = c2
#需要映射到宿主机做持久化
radius.sources.s2.positionFile = /home/test/1radius_position.json
#需要分组13台主机的数据
radius.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
radius.sources.s2.filegroups.f1 = /home/data/192.168.60.101/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f2 = /home/data/192.168.60.102/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f3 = /home/data/192.168.60.103/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f4 = /home/data/192.168.60.104/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f5 = /home/data/192.168.60.105/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f6 = /home/data/192.168.60.106/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f7 = /home/data/192.168.60.107/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f8 = /home/data/192.168.60.108/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f9 = /home/data/192.168.60.109/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f10 = /home/data/192.168.60.110/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f11 = /home/data/192.168.60.111/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f12 = /home/data/192.168.60.112/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.filegroups.f13 = /home/data/192.168.60.113/RADIUS-RECORD-LOG/.*[0-1].dat
radius.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
radius.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c2.brokerList = 192.168.40.222:9093
radius.channels.c2.topic = RADIUS-RECORD-LOG
#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
radius.channels.c2.parseAsFlumeEvent = false
radius.channels.c2.kafka.producer.acks = 1
radius.channels.c2.producer.type=sync
radius.channels.c2.queue.buffering.max.ms = 5000
radius.channels.c2.queue.buffering.max.messages=20000
radius.channels.c2.batch.num.messages=5000

40
internal-flume/conf/radius/radius_f2k2.properties Normal file
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radius.sources = s2
radius.channels = c2
#指定source收集到的数据发送到哪个管道
radius.sources.s2.channels = c2
#taildir source
radius.sources.s2.type = TAILDIR
radius.sources.s2.channels = c2
#需要映射到宿主机做持久化
radius.sources.s2.positionFile = /home/test/2radius_position.json
#需要分组13台主机的数据
radius.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
radius.sources.s2.filegroups.f1 = /home/data/192.168.60.101/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f2 = /home/data/192.168.60.102/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f3 = /home/data/192.168.60.103/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f4 = /home/data/192.168.60.104/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f5 = /home/data/192.168.60.105/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f6 = /home/data/192.168.60.106/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f7 = /home/data/192.168.60.107/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f8 = /home/data/192.168.60.108/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f9 = /home/data/192.168.60.109/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f10 = /home/data/192.168.60.110/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f11 = /home/data/192.168.60.111/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f12 = /home/data/192.168.60.112/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.filegroups.f13 = /home/data/192.168.60.113/RADIUS-RECORD-LOG/.*[2-3].dat
radius.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
radius.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c2.brokerList = 192.168.40.222:9093
radius.channels.c2.topic = RADIUS-RECORD-LOG
#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
radius.channels.c2.parseAsFlumeEvent = false
radius.channels.c2.kafka.producer.acks = 1
radius.channels.c2.producer.type=sync
radius.channels.c2.queue.buffering.max.ms = 5000
radius.channels.c2.queue.buffering.max.messages=20000
radius.channels.c2.batch.num.messages=5000

40
internal-flume/conf/radius/radius_f2k3.properties Normal file
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radius.sources = s2
radius.channels = c2
#指定source收集到的数据发送到哪个管道
radius.sources.s2.channels = c2
#taildir source
radius.sources.s2.type = TAILDIR
radius.sources.s2.channels = c2
#需要映射到宿主机做持久化
radius.sources.s2.positionFile = /home/test/3radius_position.json
#需要分组13台主机的数据
radius.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
radius.sources.s2.filegroups.f1 = /home/data/192.168.60.101/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f2 = /home/data/192.168.60.102/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f3 = /home/data/192.168.60.103/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f4 = /home/data/192.168.60.104/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f5 = /home/data/192.168.60.105/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f6 = /home/data/192.168.60.106/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f7 = /home/data/192.168.60.107/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f8 = /home/data/192.168.60.108/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f9 = /home/data/192.168.60.109/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f10 = /home/data/192.168.60.110/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f11 = /home/data/192.168.60.111/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f12 = /home/data/192.168.60.112/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.filegroups.f13 = /home/data/192.168.60.113/RADIUS-RECORD-LOG/.*[4-5].dat
radius.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
radius.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c2.brokerList = 192.168.40.222:9093
radius.channels.c2.topic = RADIUS-RECORD-LOG
#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
radius.channels.c2.parseAsFlumeEvent = false
radius.channels.c2.kafka.producer.acks = 1
radius.channels.c2.producer.type=sync
radius.channels.c2.queue.buffering.max.ms = 5000
radius.channels.c2.queue.buffering.max.messages=20000
radius.channels.c2.batch.num.messages=5000

40
internal-flume/conf/radius/radius_f2k4.properties Normal file
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radius.sources = s2
radius.channels = c2
#指定source收集到的数据发送到哪个管道
radius.sources.s2.channels = c2
#taildir source
radius.sources.s2.type = TAILDIR
radius.sources.s2.channels = c2
#需要映射到宿主机做持久化
radius.sources.s2.positionFile = /home/test/4radius_position.json
#需要分组13台主机的数据
radius.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
radius.sources.s2.filegroups.f1 = /home/data/192.168.60.101/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f2 = /home/data/192.168.60.102/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f3 = /home/data/192.168.60.103/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f4 = /home/data/192.168.60.104/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f5 = /home/data/192.168.60.105/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f6 = /home/data/192.168.60.106/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f7 = /home/data/192.168.60.107/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f8 = /home/data/192.168.60.108/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f9 = /home/data/192.168.60.109/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f10 = /home/data/192.168.60.110/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f11 = /home/data/192.168.60.111/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f12 = /home/data/192.168.60.112/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.filegroups.f13 = /home/data/192.168.60.113/RADIUS-RECORD-LOG/.*[6-7].dat
radius.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
radius.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c2.brokerList = 192.168.40.222:9093
radius.channels.c2.topic = RADIUS-RECORD-LOG
#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
radius.channels.c2.parseAsFlumeEvent = false
radius.channels.c2.kafka.producer.acks = 1
radius.channels.c2.producer.type=sync
radius.channels.c2.queue.buffering.max.ms = 5000
radius.channels.c2.queue.buffering.max.messages=20000
radius.channels.c2.batch.num.messages=5000

40
internal-flume/conf/radius/radius_f2k5.properties Normal file
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radius.sources = s2
radius.channels = c2
#指定source收集到的数据发送到哪个管道
radius.sources.s2.channels = c2
#taildir source
radius.sources.s2.type = TAILDIR
radius.sources.s2.channels = c2
#需要映射到宿主机做持久化
radius.sources.s2.positionFile = /home/test/5radius_position.json
#需要分组13台主机的数据
radius.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
radius.sources.s2.filegroups.f1 = /home/data/192.168.60.101/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f2 = /home/data/192.168.60.102/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f3 = /home/data/192.168.60.103/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f4 = /home/data/192.168.60.104/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f5 = /home/data/192.168.60.105/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f6 = /home/data/192.168.60.106/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f7 = /home/data/192.168.60.107/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f8 = /home/data/192.168.60.108/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f9 = /home/data/192.168.60.109/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f10 = /home/data/192.168.60.110/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f11 = /home/data/192.168.60.111/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f12 = /home/data/192.168.60.112/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.filegroups.f13 = /home/data/192.168.60.113/RADIUS-RECORD-LOG/.*[8-9].dat
radius.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
radius.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
radius.channels.c2.brokerList = 192.168.40.222:9093
radius.channels.c2.topic = RADIUS-RECORD-LOG
#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
radius.channels.c2.parseAsFlumeEvent = false
radius.channels.c2.kafka.producer.acks = 1
radius.channels.c2.producer.type=sync
radius.channels.c2.queue.buffering.max.ms = 5000
radius.channels.c2.queue.buffering.max.messages=20000
radius.channels.c2.batch.num.messages=5000

28
internal-flume/conf/radius/restart_log/restart_radius_f2k.log Normal file
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##############################################################
20200512173126 ---> the radius_f2k_APP restart ---> 1
20200512173136 ---> the radius_f2k_APP restart ---> 2
20200512173146 ---> the radius_f2k_APP restart ---> 3
20200512173156 ---> the radius_f2k_APP restart ---> 4
20200512173206 ---> the radius_f2k_APP restart ---> 5
##############################################################
20200512180513 ---> the radius_f2k_APP restart ---> 1
20200512180523 ---> the radius_f2k_APP restart ---> 2
20200512180533 ---> the radius_f2k_APP restart ---> 3
##############################################################
20200512180536 ---> the radius_f2k_APP restart ---> 1
20200512180546 ---> the radius_f2k_APP restart ---> 2
20200512180556 ---> the radius_f2k_APP restart ---> 3
20200512180606 ---> the radius_f2k_APP restart ---> 4
20200512180616 ---> the radius_f2k_APP restart ---> 5
##############################################################
20200512183204 ---> the radius_f2k_APP restart ---> 1
20200512183214 ---> the radius_f2k_APP restart ---> 2
20200512183224 ---> the radius_f2k_APP restart ---> 3
20200512183235 ---> the radius_f2k_APP restart ---> 4
20200512183245 ---> the radius_f2k_APP restart ---> 5
##############################################################
20200512184503 ---> the radius_f2k_APP restart ---> 1
20200512184513 ---> the radius_f2k_APP restart ---> 2
20200512184523 ---> the radius_f2k_APP restart ---> 3
20200512184533 ---> the radius_f2k_APP restart ---> 4
20200512184543 ---> the radius_f2k_APP restart ---> 5

5
internal-flume/conf/radius/start_flume.sh Executable file
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@@ -0,0 +1,5 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
nohup ${BASE_DIR}/dae_f2k.sh >/dev/null 2>&1 &

31
internal-flume/conf/radius/stop_flume.sh Executable file
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@@ -0,0 +1,31 @@
#!/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 ${BASE_DIR} | grep f2k\* | grep .properties$`
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
for jar in $JAR_NAME ; do
NUM2=`ps -ef | grep $jar | grep -v grep | wc -l`
pids2=$(ps -ef | grep $jar | 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
done

10
internal-flume/conf/security/clean_start_flume.sh Executable file
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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 &

15
internal-flume/conf/security/count_flume.sh Executable file
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@@ -0,0 +1,15 @@
#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
JAR_NAME=`ls ${BASE_DIR} | grep f2k* | grep .properties$`
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 "5" ];then
for pid1 in $pids1
do
echo 'flume '${JAR_NAME}' process-->'$pid1
done
fi

39
internal-flume/conf/security/dae_security.sh Executable file
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@@ -0,0 +1,39 @@
#!/bin/sh
#JAR_NAME=ktk_ip_asn.properties
PROPERTIES_NAME=security_f2k
#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=5
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}$id.properties >/dev/null 2>&1 &
echo "${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

35
internal-flume/conf/security/flume-env.sh Executable file
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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=""

151
internal-flume/conf/security/restart_log/restart_security_f2k.log Normal file
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@@ -0,0 +1,151 @@
##############################################################
20200512174120 ---> the security_f2k_APP restart ---> 1
20200512174131 ---> the security_f2k_APP restart ---> 2
20200512174141 ---> the security_f2k_APP restart ---> 3
20200512174151 ---> the security_f2k_APP restart ---> 4
20200512174201 ---> the security_f2k_APP restart ---> 5
##############################################################
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
20200512180606 ---> the security_f2k_APP restart ---> 4
20200512180616 ---> the security_f2k_APP restart ---> 5
20200512180626 ---> the security_f2k_APP restart ---> 1
20200512180636 ---> the security_f2k_APP restart ---> 2
20200512180647 ---> the security_f2k_APP restart ---> 3
20200512180657 ---> the security_f2k_APP restart ---> 4
20200512180707 ---> the security_f2k_APP restart ---> 5
20200512180717 ---> the security_f2k_APP restart ---> 1
20200512180727 ---> the security_f2k_APP restart ---> 2
20200512180737 ---> the security_f2k_APP restart ---> 3
20200512180747 ---> the security_f2k_APP restart ---> 4
20200512180757 ---> the security_f2k_APP restart ---> 5
20200512180807 ---> the security_f2k_APP restart ---> 1
20200512180817 ---> the security_f2k_APP restart ---> 2
20200512180827 ---> the security_f2k_APP restart ---> 3
20200512180837 ---> the security_f2k_APP restart ---> 4
20200512180847 ---> the security_f2k_APP restart ---> 5
20200512180857 ---> the security_f2k_APP restart ---> 1
20200512180907 ---> the security_f2k_APP restart ---> 2
20200512180917 ---> the security_f2k_APP restart ---> 3
20200512180927 ---> the security_f2k_APP restart ---> 4
20200512180937 ---> the security_f2k_APP restart ---> 5
20200512180947 ---> the security_f2k_APP restart ---> 1
20200512180957 ---> the security_f2k_APP restart ---> 2
20200512181007 ---> the security_f2k_APP restart ---> 3
20200512181017 ---> the security_f2k_APP restart ---> 4
20200512181027 ---> the security_f2k_APP restart ---> 5
20200512181037 ---> the security_f2k_APP restart ---> 1
20200512181048 ---> the security_f2k_APP restart ---> 2
20200512181058 ---> the security_f2k_APP restart ---> 3
20200512181108 ---> the security_f2k_APP restart ---> 4
20200512181118 ---> the security_f2k_APP restart ---> 5
20200512181128 ---> the security_f2k_APP restart ---> 1
20200512181138 ---> the security_f2k_APP restart ---> 2
20200512181148 ---> the security_f2k_APP restart ---> 3
20200512181158 ---> the security_f2k_APP restart ---> 4
20200512181208 ---> the security_f2k_APP restart ---> 5
20200512181218 ---> the security_f2k_APP restart ---> 1
20200512181228 ---> the security_f2k_APP restart ---> 2
20200512181238 ---> the security_f2k_APP restart ---> 3
20200512181248 ---> the security_f2k_APP restart ---> 4
20200512181258 ---> the security_f2k_APP restart ---> 5
20200512181308 ---> the security_f2k_APP restart ---> 1
20200512181318 ---> the security_f2k_APP restart ---> 2
20200512181328 ---> the security_f2k_APP restart ---> 3
20200512181338 ---> the security_f2k_APP restart ---> 4
20200512181348 ---> the security_f2k_APP restart ---> 5
20200512181358 ---> the security_f2k_APP restart ---> 1
20200512181408 ---> the security_f2k_APP restart ---> 2
20200512181418 ---> the security_f2k_APP restart ---> 3
20200512181429 ---> the security_f2k_APP restart ---> 4
20200512181439 ---> the security_f2k_APP restart ---> 5
20200512181449 ---> the security_f2k_APP restart ---> 1
20200512181459 ---> the security_f2k_APP restart ---> 2
20200512181509 ---> the security_f2k_APP restart ---> 3
20200512181519 ---> the security_f2k_APP restart ---> 4
20200512181529 ---> the security_f2k_APP restart ---> 5
20200512181539 ---> the security_f2k_APP restart ---> 1
20200512181549 ---> the security_f2k_APP restart ---> 2
20200512181559 ---> the security_f2k_APP restart ---> 3
20200512181609 ---> the security_f2k_APP restart ---> 4
20200512181619 ---> the security_f2k_APP restart ---> 5
20200512181629 ---> the security_f2k_APP restart ---> 1
20200512181639 ---> the security_f2k_APP restart ---> 2
20200512181649 ---> the security_f2k_APP restart ---> 3
20200512181659 ---> the security_f2k_APP restart ---> 4
20200512181709 ---> the security_f2k_APP restart ---> 5
20200512181719 ---> the security_f2k_APP restart ---> 1
20200512181729 ---> the security_f2k_APP restart ---> 2
20200512181739 ---> the security_f2k_APP restart ---> 3
20200512181749 ---> the security_f2k_APP restart ---> 4
20200512181759 ---> the security_f2k_APP restart ---> 5
20200512181809 ---> the security_f2k_APP restart ---> 1
20200512181820 ---> the security_f2k_APP restart ---> 2
20200512181830 ---> the security_f2k_APP restart ---> 3
20200512181840 ---> the security_f2k_APP restart ---> 4
20200512181850 ---> the security_f2k_APP restart ---> 5
##############################################################
20200512183204 ---> the security_f2k_APP restart ---> 1
20200512183214 ---> the security_f2k_APP restart ---> 2
20200512183225 ---> the security_f2k_APP restart ---> 3
20200512183235 ---> the security_f2k_APP restart ---> 4
20200512183245 ---> the security_f2k_APP restart ---> 5
20200512183255 ---> the security_f2k_APP restart ---> 1
20200512183305 ---> the security_f2k_APP restart ---> 2
20200512183315 ---> the security_f2k_APP restart ---> 3
20200512183325 ---> the security_f2k_APP restart ---> 4
20200512183335 ---> the security_f2k_APP restart ---> 5
20200512183345 ---> the security_f2k_APP restart ---> 1
20200512183355 ---> the security_f2k_APP restart ---> 2
20200512183405 ---> the security_f2k_APP restart ---> 3
20200512183415 ---> the security_f2k_APP restart ---> 4
20200512183425 ---> the security_f2k_APP restart ---> 5
20200512183435 ---> the security_f2k_APP restart ---> 1
20200512183445 ---> the security_f2k_APP restart ---> 2
20200512183455 ---> the security_f2k_APP restart ---> 3
20200512183505 ---> the security_f2k_APP restart ---> 4
20200512183515 ---> the security_f2k_APP restart ---> 5
20200512183525 ---> the security_f2k_APP restart ---> 1
20200512183535 ---> the security_f2k_APP restart ---> 2
20200512183545 ---> the security_f2k_APP restart ---> 3
20200512183555 ---> the security_f2k_APP restart ---> 4
20200512183605 ---> the security_f2k_APP restart ---> 5
20200512183615 ---> the security_f2k_APP restart ---> 1
20200512183626 ---> the security_f2k_APP restart ---> 2
20200512183636 ---> the security_f2k_APP restart ---> 3
20200512183646 ---> the security_f2k_APP restart ---> 4
20200512183656 ---> the security_f2k_APP restart ---> 5
20200512183706 ---> the security_f2k_APP restart ---> 1
##############################################################
20200512183753 ---> the security_f2k_APP restart ---> 1
20200512183803 ---> the security_f2k_APP restart ---> 2
20200512183813 ---> the security_f2k_APP restart ---> 3
20200512183823 ---> the security_f2k_APP restart ---> 4
20200512183833 ---> the security_f2k_APP restart ---> 5
20200512183843 ---> the security_f2k_APP restart ---> 1
20200512183853 ---> the security_f2k_APP restart ---> 2
20200512183903 ---> the security_f2k_APP restart ---> 3
##############################################################
20200512183921 ---> the security_f2k_APP restart ---> 1
20200512183931 ---> the security_f2k_APP restart ---> 2
20200512183941 ---> the security_f2k_APP restart ---> 3
20200512183951 ---> the security_f2k_APP restart ---> 4
20200512184002 ---> the security_f2k_APP restart ---> 5
##############################################################
20200512184121 ---> the security_f2k_APP restart ---> 1
20200512184131 ---> the security_f2k_APP restart ---> 2
20200512184141 ---> the security_f2k_APP restart ---> 3
20200512184151 ---> the security_f2k_APP restart ---> 4
20200512184201 ---> the security_f2k_APP restart ---> 5
20200512184211 ---> the security_f2k_APP restart ---> 1
##############################################################
20200512184503 ---> the security_f2k_APP restart ---> 1
20200512184513 ---> the security_f2k_APP restart ---> 2
20200512184523 ---> the security_f2k_APP restart ---> 3
20200512184533 ---> the security_f2k_APP restart ---> 4
20200512184543 ---> the security_f2k_APP restart ---> 5

40
internal-flume/conf/security/security_f2k1.properties Normal file
View File

@@ -0,0 +1,40 @@
security.sources = s2
security.channels = c2
#指定source收集到的数据发送到哪个管道
security.sources.s2.channels = c2
#taildir source
security.sources.s2.type = TAILDIR
security.sources.s2.channels = c2
#需要映射到宿主机做持久化
security.sources.s2.positionFile = /home/test/1security_position.json
#需要分组13台主机的数据
security.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
security.sources.s2.filegroups.f1 = /home/data/192.168.60.101/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f2 = /home/data/192.168.60.102/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f3 = /home/data/192.168.60.103/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f4 = /home/data/192.168.60.104/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f5 = /home/data/192.168.60.105/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f6 = /home/data/192.168.60.106/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f7 = /home/data/192.168.60.107/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f8 = /home/data/192.168.60.108/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f9 = /home/data/192.168.60.109/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f10 = /home/data/192.168.60.110/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f11 = /home/data/192.168.60.111/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f12 = /home/data/192.168.60.112/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.filegroups.f13 = /home/data/192.168.60.113/SECURITY-EVENT-LOG/.*[0-1].dat
security.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
security.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c2.brokerList = 192.168.40.222:9093
security.channels.c2.topic = SECURITY-EVENT-LOG
#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
security.channels.c2.parseAsFlumeEvent = false
security.channels.c2.kafka.producer.acks = 1
security.channels.c2.producer.type=sync
security.channels.c2.queue.buffering.max.ms = 5000
security.channels.c2.queue.buffering.max.messages=20000
security.channels.c2.batch.num.messages=5000

40
internal-flume/conf/security/security_f2k2.properties Normal file
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@@ -0,0 +1,40 @@
security.sources = s2
security.channels = c2
#指定source收集到的数据发送到哪个管道
security.sources.s2.channels = c2
#taildir source
security.sources.s2.type = TAILDIR
security.sources.s2.channels = c2
#需要映射到宿主机做持久化
security.sources.s2.positionFile = /home/test/2security_position.json
#需要分组13台主机的数据
security.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
security.sources.s2.filegroups.f1 = /home/data/192.168.60.101/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f2 = /home/data/192.168.60.102/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f3 = /home/data/192.168.60.103/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f4 = /home/data/192.168.60.104/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f5 = /home/data/192.168.60.105/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f6 = /home/data/192.168.60.106/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f7 = /home/data/192.168.60.107/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f8 = /home/data/192.168.60.108/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f9 = /home/data/192.168.60.109/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f10 = /home/data/192.168.60.110/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f11 = /home/data/192.168.60.111/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f12 = /home/data/192.168.60.112/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.filegroups.f13 = /home/data/192.168.60.113/SECURITY-EVENT-LOG/.*[2-3].dat
security.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
security.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c2.brokerList = 192.168.40.222:9093
security.channels.c2.topic = SECURITY-EVENT-LOG
#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
security.channels.c2.parseAsFlumeEvent = false
security.channels.c2.kafka.producer.acks = 1
security.channels.c2.producer.type=sync
security.channels.c2.queue.buffering.max.ms = 5000
security.channels.c2.queue.buffering.max.messages=20000
security.channels.c2.batch.num.messages=5000

40
internal-flume/conf/security/security_f2k3.properties Normal file
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security.sources = s2
security.channels = c2
#指定source收集到的数据发送到哪个管道
security.sources.s2.channels = c2
#taildir source
security.sources.s2.type = TAILDIR
security.sources.s2.channels = c2
#需要映射到宿主机做持久化
security.sources.s2.positionFile = /home/test/3security_position.json
#需要分组13台主机的数据
security.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
security.sources.s2.filegroups.f1 = /home/data/192.168.60.101/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f2 = /home/data/192.168.60.102/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f3 = /home/data/192.168.60.103/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f4 = /home/data/192.168.60.104/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f5 = /home/data/192.168.60.105/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f6 = /home/data/192.168.60.106/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f7 = /home/data/192.168.60.107/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f8 = /home/data/192.168.60.108/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f9 = /home/data/192.168.60.109/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f10 = /home/data/192.168.60.110/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f11 = /home/data/192.168.60.111/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f12 = /home/data/192.168.60.112/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.filegroups.f13 = /home/data/192.168.60.113/SECURITY-EVENT-LOG/.*[4-5].dat
security.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
security.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c2.brokerList = 192.168.40.222:9093
security.channels.c2.topic = SECURITY-EVENT-LOG
#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
security.channels.c2.parseAsFlumeEvent = false
security.channels.c2.kafka.producer.acks = 1
security.channels.c2.producer.type=sync
security.channels.c2.queue.buffering.max.ms = 5000
security.channels.c2.queue.buffering.max.messages=20000
security.channels.c2.batch.num.messages=5000

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internal-flume/conf/security/security_f2k4.properties Normal file
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security.sources = s2
security.channels = c2
#指定source收集到的数据发送到哪个管道
security.sources.s2.channels = c2
#taildir source
security.sources.s2.type = TAILDIR
security.sources.s2.channels = c2
#需要映射到宿主机做持久化
security.sources.s2.positionFile = /home/test/4security_position.json
#需要分组13台主机的数据
security.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
security.sources.s2.filegroups.f1 = /home/data/192.168.60.101/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f2 = /home/data/192.168.60.102/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f3 = /home/data/192.168.60.103/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f4 = /home/data/192.168.60.104/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f5 = /home/data/192.168.60.105/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f6 = /home/data/192.168.60.106/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f7 = /home/data/192.168.60.107/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f8 = /home/data/192.168.60.108/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f9 = /home/data/192.168.60.109/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f10 = /home/data/192.168.60.110/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f11 = /home/data/192.168.60.111/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f12 = /home/data/192.168.60.112/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.filegroups.f13 = /home/data/192.168.60.113/SECURITY-EVENT-LOG/.*[6-7].dat
security.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
security.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c2.brokerList = 192.168.40.222:9093
security.channels.c2.topic = SECURITY-EVENT-LOG
#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
security.channels.c2.parseAsFlumeEvent = false
security.channels.c2.kafka.producer.acks = 1
security.channels.c2.producer.type=sync
security.channels.c2.queue.buffering.max.ms = 5000
security.channels.c2.queue.buffering.max.messages=20000
security.channels.c2.batch.num.messages=5000

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internal-flume/conf/security/security_f2k5.properties Normal file
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security.sources = s2
security.channels = c2
#指定source收集到的数据发送到哪个管道
security.sources.s2.channels = c2
#taildir source
security.sources.s2.type = TAILDIR
security.sources.s2.channels = c2
#需要映射到宿主机做持久化
security.sources.s2.positionFile = /home/test/5security_position.json
#需要分组13台主机的数据
security.sources.s2.filegroups = f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13
#需要分组按照序号 [0-9] 目前最多支持10个进程，可以增加
security.sources.s2.filegroups.f1 = /home/data/192.168.60.101/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f2 = /home/data/192.168.60.102/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f3 = /home/data/192.168.60.103/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f4 = /home/data/192.168.60.104/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f5 = /home/data/192.168.60.105/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f6 = /home/data/192.168.60.106/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f7 = /home/data/192.168.60.107/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f8 = /home/data/192.168.60.108/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f9 = /home/data/192.168.60.109/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f10 = /home/data/192.168.60.110/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f11 = /home/data/192.168.60.111/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f12 = /home/data/192.168.60.112/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.filegroups.f13 = /home/data/192.168.60.113/SECURITY-EVENT-LOG/.*[8-9].dat
security.sources.s2.maxBatchCount = 10000
# kafka channel充当生产者
security.channels.c2.type = org.apache.flume.channel.kafka.KafkaChannel
security.channels.c2.brokerList = 192.168.40.222:9093
security.channels.c2.topic = SECURITY-EVENT-LOG
#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
security.channels.c2.parseAsFlumeEvent = false
security.channels.c2.kafka.producer.acks = 1
security.channels.c2.producer.type=sync
security.channels.c2.queue.buffering.max.ms = 5000
security.channels.c2.queue.buffering.max.messages=20000
security.channels.c2.batch.num.messages=5000

5
internal-flume/conf/security/start_flume.sh Executable file
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#!/bin/sh
BASE_DIR=$(cd $(dirname $0); pwd)
nohup ${BASE_DIR}/dae_f2k.sh >/dev/null 2>&1 &

31
internal-flume/conf/security/stop_flume.sh Executable file
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#!/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 ${BASE_DIR} | grep f2k\* | grep .properties$`
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
for jar in $JAR_NAME ; do
NUM2=`ps -ef | grep $jar | grep -v grep | wc -l`
pids2=$(ps -ef | grep $jar | 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
done

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---------------------------Cap-Flume-Started-20191129175126---------------------------------
---------------------------Cap-Flume-Started-20191202163810---------------------------------
---------------------------Cap-Flume-Started-20191204141708---------------------------------
---------------------------Cap-Flume-Started-20191204141943---------------------------------
---------------------------Cap-Flume-Started-20191220145125---------------------------------
---------------------------Cap-Flume-Started-20191220145338---------------------------------
---------------------------Cap-Flume-Started-20191220145342---------------------------------

18
internal-flume/flumeController/change_log_lv.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
from_lv=INFO,LOGFILE
to_lv=WARN,LOGFILE
#from_lv=WARN,LOGFILE
#to_lv=INFO,LOGFILE
for conf_name in `ls ${BASE_DIR}`
do
# sed -i 's/flume.root.logger=INFO,LOGFILE/flume.root.logger=WARN,LOGFILE/' ${BASE_DIR}/${conf_name}/log4j.properties
sed -i 's/flume.root.logger='${from_lv}'/flume.root.logger='${to_lv}'/' ${BASE_DIR}/${conf_name}/log4j.properties
done

18
internal-flume/flumeController/clean_log_all.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
for conf_name in `ls ${BASE_DIR}`
do
# rm -rf ${BASE_DIR}/${conf_name}/logs-*/*.log*
rm -rf ${BASE_DIR}/${conf_name}/logs/*.log*
rm -rf ${BASE_DIR}/${conf_name}/restart_log/*.log*
rm -rf ${BASE_DIR}/${conf_name}/checkpoint/*
rm -rf ${BASE_DIR}/${conf_name}/data/*
done

16
internal-flume/flumeController/clean_start_all.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
#主路径下
#BASE_DIR=$(cd $(dirname $0); cd conf/; pwd)
#flumeController路径下
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
for conf_name in `ls ${BASE_DIR}`
do
cd ${BASE_DIR}/${conf_name} && ./clean_start_flume.sh
done
#用于脚本一直前台运行,防止docker自动退出,但本地运行不需要前台,需要注释掉本条指令
tail -f /dev/null

10
internal-flume/flumeController/count_all.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
for conf_name in `ls ${BASE_DIR}`
do
${BASE_DIR}/${conf_name}/count_flume.sh
done

14
internal-flume/flumeController/start_all.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
#主路径下
#BASE_DIR=$(cd $(dirname $0); cd conf/; pwd)
#flumeController路径下
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
for conf_name in `ls ${BASE_DIR}`
do
cd ${BASE_DIR}/${conf_name} && ./start_flume.sh
done

13
internal-flume/flumeController/stop_all.sh Executable file
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#! /bin/bash
#flume配置文件夹路径,注意最后没有/
#主路径下
#BASE_DIR=$(cd $(dirname $0); cd conf/; pwd)
#flumeController路径下
BASE_DIR=$(cd $(dirname $0); cd ../conf/; pwd)
for conf_name in `ls ${BASE_DIR}`
do
${BASE_DIR}/${conf_name}/stop_flume.sh
done

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internal-flume/flumeMonitor/file-monitor-flume.log Normal file
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internal-flume/flumeMonitor/flumeConfList Normal file
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ntcCollHttpDocConf
ntcCollMailConf

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internal-flume/flumeMonitor/readMe.txt Normal file
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*/1 * * * * /home/apache-flume-1.9.0-bin/flumeMonitor/taskFlumeMinSum.sh >> /home/apache-flume-1.9.0-bin/flumeMonitor/file-monitor-flume.log

36
internal-flume/flumeMonitor/taskFlumeMinSum.sh Executable file
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#! /bin/bash
#监控相关路径,不以/结尾
BASE_DIR=$(cd $(dirname $0); pwd)
CONFNAMES=$(cd $(dirname $0); cd ../conf/; pwd)
lastMinTime=$(date +"20%y%m%d%H%M" -d "-2 min")
echo "###############################$lastMinTime######################################"
echo $BASE_DIR
echo $CONFNAMES
for conf_name in `cat $BASE_DIR/flumeConfList`
do
echo $conf_name
echo $lastMinTime
min_msgSuccessSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $14}' | awk '{sum+=$1}END{print sum}'`
echo min_msgSuccessSum=$min_msgSuccessSum
min_msgFailedSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $16}' | awk '{sum+=$1}END{print sum}'`
echo min_msgFailedSum=$min_msgFailedSum
min_msgReadyPostSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $18}' | awk '{sum+=$1}END{print sum}'`
echo min_msgReadyPostSum=$min_msgReadyPostSum
min_msgTotalSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $20}' | awk '{sum+=$1}END{print sum}'`
echo min_msgTotalSum=$min_msgTotalSum
#min_fileSuccessSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $20}' | awk '{sum+=$1}END{print sum}'`
#echo min_fileSuccessSum=$min_fileSuccessSum
#min_fileReadyPostSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $22}' | awk '{sum+=$1}END{print sum}'`
#echo min_fileReadyPostSum=$min_fileReadyPostSum
#min_fileBytesSuccessSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $24}' | awk '{sum+=$1}END{print sum}'`
#echo min_fileBytesSuccessSum=$min_fileBytesSuccessSum
#min_fileBytesReadyPostSum=`cat $CONFNAMES/$conf_name/logs/flume.log | grep 'last min' | grep "$lastMinTime" | awk '{print $26}' | awk '{sum+=$1}END{print sum}'`
#echo min_fileBytesReadyPostSum=$min_fileBytesReadyPostSum
#curl -s -XPOST 'http://127.0.0.1:8086/write?db=telegraf&u=admin&p=telegraf' --data-binary 'Cap_File_Monitor,flumeTask='$conf_name',statType=OneMinMonitor,LogStatTime='$lastMinTime' MsgSuccessSum='$min_msgSuccessSum',MsgFailedSum='$min_msgFailedSum',MsgReadyPostSum='$min_msgReadyPostSum',FileSuccessSum='$min_fileSuccessSum',FileReadyPostSum='$min_fileReadyPostSum',FileBytesSuccessSum='$min_fileBytesSuccessSum',FileBytesReadyPostSum='$min_fileBytesReadyPostSum''
curl -s -XPOST 'http://127.0.0.1:8086/write?db=telegraf&u=admin&p=telegraf' --data-binary 'Cap_File_Monitor,flumeTask='$conf_name',statType=OneMinMonitor,LogStatTime='$lastMinTime' MsgSuccessSum='$min_msgSuccessSum',MsgFailedSum='$min_msgFailedSum',MsgReadyPostSum='$min_msgReadyPostSum',MsgTotalSum='$min_msgTotalSum''
echo $conf_name---$lastMinTime---
done

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