Flink Yarn Per Job - CliFrontend

Per-Job 新老版本启动方法

• 老版本（<=1.10）

flink run -m yarn-cluster -c xxx xxx.jar

• 新版本（>=1.11）

flink run -t yarn-per-job -c xxx xxx.jar

Per-Job 启动的三个进程

• CliFrontend

• 参数解析

• 封装CommandLine

• 封装配置

• 执行用户代码 execute（）

• 生成StreamGraph

• Executor：生成JobGraph

• 集群描述器：上传jar包、配置， 封装提交给yarn的命令

• yarnclient提交应用

• YarnJobClusterEntryPoint：AM执行的入口类

• Dispatcher 的创建和启动

• ResourceManager的创建、启动（slotmanager真正的管理资源，向yarn申请资源）

• Dispatcher 启动 JobMaster。生成ExecutionGraph（slotpool，真正的发送请求）

• slotpool向slotmanger申请资源，slotmanger向yarn申请资源（启动节点）

• YarnTaskExecutorRunner：Yarn模式下的TaskManager的入口类

• 启动 TaskExecutor

• 向ResourceManager注册slot

• ResouceManger分配slot

• TaskExecutor接收到分配的指令，提供offset给JobMaster

• JobMaster提交任务给TaskExecutor去执行

程序起点

flink-1.12.0\flink-dist\src\main\flink-bin\bin\flink

#!/usr/bin/env bash
target="$0"

iteration=0
while [ -L "$target" ]; do
    if [ "$iteration" -gt 100 ]; then
        echo "Cannot resolve path: You have a cyclic symlink in $target."
        break
    fi
    ls=`ls -ld -- "$target"`
    target=`expr "$ls" : '.* -> \(.*\)$'`
    iteration=$((iteration + 1))
done

# Convert relative path to absolute path
bin=`dirname "$target"`

# get flink config
. "$bin"/config.sh

if [ "$FLINK_IDENT_STRING" = "" ]; then
        FLINK_IDENT_STRING="$USER"
fi

CC_CLASSPATH=`constructFlinkClassPath`

log=$FLINK_LOG_DIR/flink-$FLINK_IDENT_STRING-client-$HOSTNAME.log
log_setting=(-Dlog.file="$log" -Dlog4j.configuration=file:"$FLINK_CONF_DIR"/log4j-cli.properties -Dlog4j.configurationFile=file:"$FLINK_CONF_DIR"/log4j-cli.properties -Dlogback.configurationFile=file:"$FLINK_CONF_DIR"/logback.xml)

# Add Client-specific JVM options
FLINK_ENV_JAVA_OPTS="${FLINK_ENV_JAVA_OPTS} ${FLINK_ENV_JAVA_OPTS_CLI}"

# Add HADOOP_CLASSPATH to allow the usage of Hadoop file systems
exec $JAVA_RUN $JVM_ARGS $FLINK_ENV_JAVA_OPTS "${log_setting[@]}" -classpath "`manglePathList "$CC_CLASSPATH:$INTERNAL_HADOOP_CLASSPATHS"`" org.apache.flink.client.cli.CliFrontend "$@"

1）入口类（CliFrontend）

exec $JAVA_RUN $JVM_ARGS $FLINK_ENV_JAVA_OPTS "${log_setting[@]}" 
 -classpath "`manglePathList "$CC_CLASSPATH:$INTERNAL_HADOOP_CLASSPATHS"`" 
 org.apache.flink.client.cli.CliFrontend "$@"

2）config.sh 相关配置

. "$bin"/config.sh

JAVA_RUN=java

if [ "${UNAME:0:6}" == "CYGWIN" ]; then
    JAVA_RUN=java
else
    if [[ -d $JAVA_HOME ]]; then
        JAVA_RUN=$JAVA_HOME/bin/java
    else
        JAVA_RUN=java
    fi
fi

JAVA_ARGS=conf/flink-conf.yaml

# Arguments for the JVM. Used for job and task manager JVMs.
# DO NOT USE FOR MEMORY SETTINGS! Use conf/flink-conf.yaml with keys
# JobManagerOptions#TOTAL_PROCESS_MEMORY and TaskManagerOptions#TOTAL_PROCESS_MEMORY for that!
if [ -z "${JVM_ARGS}" ]; then
    JVM_ARGS=""
fi

HADOOP_CONF_DIR=“$HADOOP_HOME/etc/hadoop”

# Check if deprecated HADOOP_HOME is set, and specify config path to HADOOP_CONF_DIR if it's empty.
if [ -z "$HADOOP_CONF_DIR" ]; then
    if [ -n "$HADOOP_HOME" ]; then
        # HADOOP_HOME is set. Check if its a Hadoop 1.x or 2.x HADOOP_HOME path
        if [ -d "$HADOOP_HOME/conf" ]; then
            # It's Hadoop 1.x
            HADOOP_CONF_DIR="$HADOOP_HOME/conf"
        fi
        if [ -d "$HADOOP_HOME/etc/hadoop" ]; then
            # It's Hadoop 2.2+
            HADOOP_CONF_DIR="$HADOOP_HOME/etc/hadoop"
        fi
    fi
fi

# if neither HADOOP_CONF_DIR nor HADOOP_CLASSPATH are set, use some common default (if available)
if [ -z "$HADOOP_CONF_DIR" ] && [ -z "$HADOOP_CLASSPATH" ]; then
    if [ -d "/etc/hadoop/conf" ]; then
        echo "Setting HADOOP_CONF_DIR=/etc/hadoop/conf because no HADOOP_CONF_DIR or HADOOP_CLASSPATH was set."
        HADOOP_CONF_DIR="/etc/hadoop/conf"
    fi
fi

INTERNAL_HADOOP_CLASSPATHS

INTERNAL_HADOOP_CLASSPATHS="${HADOOP_CLASSPATH}:${HADOOP_CONF_DIR}:${YARN_CONF_DIR}"

if [ -n "${HBASE_CONF_DIR}" ]; then
    INTERNAL_HADOOP_CLASSPATHS="${INTERNAL_HADOOP_CLASSPATHS}:${HBASE_CONF_DIR}"
fi

java -cp 就会开启 JVM 虚拟机，在虚拟机上开启 CliFrontend 进程，然后开始执行main 方法

说明：java -cp 和 -classpath 一样，是指定类运行所依赖其他类的路径。

3）运行入口类 CliFrontend

shift + shift：org.apache.flink.client.cli.CliFrontend

ctrl + F12：main

  /**
   * Submits the job based on the arguments.
   */
  public static void main(final String[] args) {
  ...
    }
  }