21.11 update
This commit is contained in:
@@ -1,4 +1,4 @@
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# flink集群版 配置文件增加checkpoint history
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# flink集群版 flink-conf.yml配置文件增加checkpoint history
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#==============================================================================
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#checkpoint
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40
TSG发布版本更新记录/TSG-21.11/flink/docker-compose.yml
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40
TSG发布版本更新记录/TSG-21.11/flink/docker-compose.yml
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version: '2'
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services:
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jobmanager:
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image: flink:1.13.1
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restart: always
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container_name: jobmanager
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environment:
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START_TYPE: "jobmanager"
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JOBMANAGER_IP: "192.168.40.203"
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volumes:
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- "/home/galaxy/volumes/flink/jobmanager/conf/flink-conf.yaml:/opt/flink-1.13.1/conf/flink-conf.yaml"
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- "/home/galaxy/volumes/flink/jobmanager/log:/opt/flink-1.13.1/log"
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- "/home/galaxy/volumes/flink/completed-jobs:/opt/flink-1.13.1/completed-jobs"
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- "/home/galaxy/volumes/flink/checkpoint:/opt/flink-1.13.1/checkpoint"
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- "/etc/localtime:/etc/localtime:ro"
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- "/etc/timezone:/etc/timezone:ro"
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network_mode: "host"
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version: '2'
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services:
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taskmanager:
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image: flink:1.13.1
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restart: always
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container_name: taskmanager
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environment:
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START_TYPE: "taskmanager"
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JOBMANAGER_IP: "192.168.40.203"
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volumes:
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- "/home/galaxy/volumes/flink/taskmanager/conf/flink-conf.yaml:/opt/flink-1.13.1/conf/flink-conf.yaml"
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- "/home/galaxy/volumes/flink/taskmanager/log:/opt/flink-1.13.1/log"
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- "/home/galaxy/workspace/topology/dat/:/opt/dat/"
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- "/home/galaxy/volumes/flink/completed-jobs:/opt/flink-1.13.1/completed-jobs"
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- "/home/galaxy/volumes/flink/checkpoint:/opt/flink-1.13.1/checkpoint"
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- "/etc/localtime:/etc/localtime:ro"
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- "/etc/timezone:/etc/timezone:ro"
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network_mode: "host"
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350
TSG发布版本更新记录/TSG-21.11/flink/standalone-flink.conf.yml
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350
TSG发布版本更新记录/TSG-21.11/flink/standalone-flink.conf.yml
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@@ -0,0 +1,350 @@
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# censed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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################################################################################
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#==============================================================================
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# Common
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#==============================================================================
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# The external address of the host on which the JobManager runs and can be
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# reached by the TaskManagers and any clients which want to connect. This setting
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# is only used in Standalone mode and may be overwritten on the JobManager side
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# by specifying the --host <hostname> parameter of the bin/jobmanager.sh executable.
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# In high availability mode, if you use the bin/start-cluster.sh script and setup
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# the conf/masters file, this will be taken care of automatically. Yarn/Mesos
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# automatically configure the host name based on the hostname of the node where the
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# JobManager runs.
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jobmanager.rpc.address: {{ machine_host }}
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# The RPC port where the JobManager is reachable.
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env.java.opts: "-XX:+UseG1GC -XX:NewRatio=2 -XX:MaxGCPauseMillis=300 -XX:InitiatingHeapOccupancyPercent=35 -Xloggc:/opt/flink-1.13.1/log/gc.log -XX:+PrintGCDetails -XX:-OmitStackTraceInFastThrow -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=20 -XX:GCLogFileSize=20M"
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jobmanager.rpc.port: 6123
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#开启负载均衡
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cluster.evenly-spread-out-slots: true
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# The total process memory size for the JobManager.
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#
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# Note this accounts for all memory usage within the JobManager process, including JVM metaspace and other overhead.
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#jobmanager.memory.process.size: 1600m
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#taskmanager.heap.mb: 2g
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#jobmanager.heap.mb: 1g
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#托管内存大小-内存管理器管理的堆外内存,为排序,哈希,中间结果缓存预留
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taskmanager.memory.managed.size: 512M
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#网络缓冲区大小,可指定max、min的具体大小;也可使用fraction,默认占flink内存的0.1,两者使用一个即可
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taskmanager.memory.network.fraction: 0.1
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#taskexcutor的堆外内存大小
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taskmanager.memory.framework.off-heap.size: 512M
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taskmanager.memory.framework.heap.size: 512M
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taskmanager.memory.framework.off-heap.size: 512M
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#jvm元空间大小
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taskmanager.memory.jvm-metaspace.size: 740M
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taskmanager.memory.framework.off-heap.batch-shuffle.size: 128M
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jobmanager.memory.jvm-metaspace.size: 512M
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taskmanager.network.sort-shuffle.min-buffers: 256
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#输入/输出额外网络缓冲区的个数,默认8,缓解由于子分区之间的数据分布不平衡造成的背压。
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#如果节点之间的往返时间和/或集群中的机器数量更多,则应该增加该值。
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taskmanager.network.memory.floating-buffers-per-gate: 8
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#网络缓冲区通道数量,默认为2,最少为2
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taskmanager.network.memory.buffers-per-channel: 2
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taskmanager.network.memory.max-buffers-per-channel: 16
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#flink进程总内存,process.size与flink.size选择其中一个。docker使用process.size
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taskmanager.memory.process.size: 7168M
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jobmanager.memory.flink.size: 1024M
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# The total process memory size for the TaskManager.
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#
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# Note this accounts for all memory usage within the TaskManager process, including JVM metaspace and other overhead.
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#taskmanager.memory.process.size: 1728m
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# To exclude JVM metaspace and overhead, please, use total Flink memory size instead of 'taskmanager.memory.process.size'.
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# It is not recommended to set both 'taskmanager.memory.process.size' and Flink memory.
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#
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# taskmanager.memory.flink.size: 1280m
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# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.
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taskmanager.numberOfTaskSlots: 120
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# The parallelism used for programs that did not specify and other parallelism.
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parallelism.default: 60
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# The default file system scheme and authority.
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#
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# By default file paths without scheme are interpreted relative to the local
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# root file system 'file:///'. Use this to override the default and interpret
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# relative paths relative to a different file system,
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# for example 'hdfs://mynamenode:12345'
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#
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# fs.default-scheme
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#==============================================================================
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# High Availability
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#==============================================================================
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# The high-availability mode. Possible options are 'NONE' or 'zookeeper'.
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#
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# high-availability: zookeeper
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# The path where metadata for master recovery is persisted. While ZooKeeper stores
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# the small ground truth for checkpoint and leader election, this location stores
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# the larger objects, like persisted dataflow graphs.
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#
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# Must be a durable file system that is accessible from all nodes
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# (like HDFS, S3, Ceph, nfs, ...)
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#
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# high-availability.storageDir: hdfs:///flink/ha/
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# The list of ZooKeeper quorum peers that coordinate the high-availability
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# setup. This must be a list of the form:
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# "host1:clientPort,host2:clientPort,..." (default clientPort: 2181)
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#
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#向akka发送心跳超时时间设置及间隔
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heartbeat.timeout: 180000
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heartbeat.interval: 20000
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akka.ask.timeout: 300 s
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# ACL options are based on https://zookeeper.apache.org/doc/r3.1.2/zookeeperProgrammers.html#sc_BuiltinACLSchemes
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# It can be either "creator" (ZOO_CREATE_ALL_ACL) or "open" (ZOO_OPEN_ACL_UNSAFE)
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# The default value is "open" and it can be changed to "creator" if ZK security is enabled
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#
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# high-availability.zookeeper.client.acl: open
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#Savepoint:
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#state.savepoints.dir: hdfs://192.168.44.11:9000/flink/savepoints
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#==============================================================================
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# Fault tolerance and checkpointing
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#==============================================================================
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# The backend that will be used to store operator state checkpoints if
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# checkpointing is enabled.
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#
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# Supported backends are 'jobmanager', 'filesystem', 'rocksdb', or the
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# <class-name-of-factory>.
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#
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# state.backend: filesystem
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# Directory for checkpoints filesystem, when using any of the default bundled
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# state backends.
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#
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# state.checkpoints.dir: hdfs://namenode-host:port/flink-checkpoints
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# Default target directory for savepoints, optional.
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#
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# state.savepoints.dir: hdfs://namenode-host:port/flink-savepoints
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# Flag to enable/disable incremental checkpoints for backends that
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# support incremental checkpoints (like the RocksDB state backend).
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#
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# state.backend.incremental: false
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# The failover strategy, i.e., how the job computation recovers from task failures.
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# Only restart tasks that may have been affected by the task failure, which typically includes
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# downstream tasks and potentially upstream tasks if their produced data is no longer available for consumption.
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#==============================================================================
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# checkpoint
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#==============================================================================
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state.checkpoints.dir: file:///opt/flink-1.13.1/checkpoint
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##检查点间隔
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execution.checkpointing.interval: 300000
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#
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##检查点的超时设置
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execution.checkpointing.timeout: 10min
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#
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###检查点的个数
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state.checkpoints.num-retained: 10
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state.backend: filesystem
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#==============================================================================
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# historyserver
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#==============================================================================
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# 上传已完成作业信息的目录
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jobmanager.archive.fs.dir: file:///opt/flink-1.13.1/completed-jobs
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# 监视以下目录中已完成的作业
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historyserver.archive.fs.dir: file:///opt/flink-1.13.1/completed-jobs
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# 每 10 秒刷新一次
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historyserver.archive.fs.refresh-interval: 10000
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#完成的作业到期并从作业存储区中清除的秒数
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jobstore.expiration-time: 7200
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#避免由于task不能正常取消而使taskmanager服务挂掉
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task.cancellation.timeout: 0
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#任务重启策略
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jobmanager.execution.failover-strategy: region
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rest.port: 8080
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restart-strategy: fixed-delay
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#任务重启次数及间隔时间
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restart-strategy.fixed-delay.attempts: 100
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restart-strategy.fixed-delay.delay: 180 s
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jobmanager.web.upload.dir: /opt/flink-1.13.1/flink-web
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#==============================================================================
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# Flink metrics
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#==============================================================================
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#监控class
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metrics.reporter.prom.class: org.apache.flink.metrics.prometheus.PrometheusReporter
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#监控暴露的端口,默认9249,更改为9909
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metrics.reporter.prom.port: 9909-9910
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#==============================================================================
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# Rest & web frontend
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#==============================================================================
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# The port to which the REST client connects to. If rest.bind-port has
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# not been specified, then the server will bind to this port as well.
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#
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#rest.port: 8092
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# The address to which the REST client will connect to
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#
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#rest.address: 0.0.0.0
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# Port range for the REST and web server to bind to.
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#
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#rest.bind-port: 8080-8090
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# The address that the REST & web server binds to
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#
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#rest.bind-address: 0.0.0.0
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# Flag to specify whether job submission is enabled from the web-based
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# runtime monitor. Uncomment to disable.
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#web.submit.enable: false
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#==============================================================================
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# Advanced
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#==============================================================================
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# Override the directories for temporary files. If not specified, the
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# system-specific Java temporary directory (java.io.tmpdir property) is taken.
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#
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# For framework setups on Yarn or Mesos, Flink will automatically pick up the
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# containers' temp directories without any need for configuration.
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#
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# Add a delimited list for multiple directories, using the system directory
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# delimiter (colon ':' on unix) or a comma, e.g.:
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# /data1/tmp:/data2/tmp:/data3/tmp
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#
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# Note: Each directory entry is read from and written to by a different I/O
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# thread. You can include the same directory multiple times in order to create
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# multiple I/O threads against that directory. This is for example relevant for
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# high-throughput RAIDs.
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#
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# io.tmp.dirs: /tmp
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# The classloading resolve order. Possible values are 'child-first' (Flink's default)
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# and 'parent-first' (Java's default).
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#
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# Child first classloading allows users to use different dependency/library
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# versions in their application than those in the classpath. Switching back
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# to 'parent-first' may help with debugging dependency issues.
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#
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#类加载方式
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# classloader.resolve-order: child-first
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classloader.resolve-order: parent-first
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# The amount of memory going to the network stack. These numbers usually need
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# no tuning. Adjusting them may be necessary in case of an "Insufficient number
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# of network buffers" error. The default min is 64MB, the default max is 1GB.
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#
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# taskmanager.memory.network.fraction: 0.1
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# taskmanager.memory.network.min: 64mb
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# taskmanager.memory.network.max: 1gb
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#==============================================================================
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# Flink Cluster Security Configuration
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#==============================================================================
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# Kerberos authentication for various components - Hadoop, ZooKeeper, and connectors -
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# may be enabled in four steps:
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# 1. configure the local krb5.conf file
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# 2. provide Kerberos credentials (either a keytab or a ticket cache w/ kinit)
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# 3. make the credentials available to various JAAS login contexts
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# 4. configure the connector to use JAAS/SASL
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# The below configure how Kerberos credentials are provided. A keytab will be used instead of
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# a ticket cache if the keytab path and principal are set.
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# security.kerberos.login.use-ticket-cache: true
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# security.kerberos.login.keytab: /path/to/kerberos/keytab
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# security.kerberos.login.principal: flink-user
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# The configuration below defines which JAAS login contexts
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# security.kerberos.login.contexts: Client,KafkaClient
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#==============================================================================
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# ZK Security Configuration
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#==============================================================================
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# Below configurations are applicable if ZK ensemble is configured for security
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# Override below configuration to provide custom ZK service name if configured
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# zookeeper.sasl.service-name: zookeeper
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# The configuration below must match one of the values set in "security.kerberos.login.contexts"
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# zookeeper.sasl.login-context-name: Client
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#==============================================================================
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# HistoryServer
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#==============================================================================
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# The HistoryServer is started and stopped via bin/historyserver.sh (start|stop)
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# Directory to upload completed jobs to. Add this directory to the list of
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# monitored directories of the HistoryServer as well (see below).
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#jobmanager.archive.fs.dir: hdfs:///completed-jobs/
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# The address under which the web-based HistoryServer listens.
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#historyserver.web.address: 0.0.0.0
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# The port under which the web-based HistoryServer listens.
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#historyserver.web.port: 8082
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# Comma separated list of directories to monitor for completed jobs.
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#historyserver.archive.fs.dir: hdfs:///completed-jobs/
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#historyserver.archive.fs.dir: /opt/flink-1.13.1/completed-jobs/
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# Interval in milliseconds for refreshing the monitored directories.
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#historyserver.archive.fs.refresh-interval: 10000
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|
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