Flink的standalone 模式简单部署

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flink-conf.yaml 文件中进行一下配置：

jobmanager.rpc.address: 10.8.45.10

# The RPC port where the JobManager is reachable.

jobmanager.rpc.port: 6123

# The heap size for the JobManager JVM

jobmanager.heap.mb: 4096

# The heap size for the TaskManager JVM

taskmanager.heap.mb: 4096

# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.

taskmanager.numberOfTaskSlots: 4

# Specify whether TaskManager memory should be allocated when starting up (true) or when
# memory is required in the memory manager (false)

taskmanager.memory.preallocate: false

# The parallelism used for programs that did not specify and other parallelism.

parallelism.default: 4

#==============================================================================
# Web Frontend
#==============================================================================

# The address under which the web-based runtime monitor listens.
#
#jobmanager.web.address: 0.0.0.0

# The port under which the web-based runtime monitor listens.
# A value of -1 deactivates the web server.

jobmanager.web.port: 8081

启动：

在bin目录下执行： ./start-cluster.sh 即可

总体来看，基本的集群操作配置与 hadoop spark 等分布式平台部署没啥区别

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