本地安装

作者: lukeyan | 来源:发表于2021-04-22 09:11 被阅读0次

    一 、下载

    为了能够运行Flink,唯一的要求是有一个可以正常工作的的 Java8 或 Java11的环境。你可以通过以下命令来检查java 环境是否被正确的安装。

    java -version
    

    下载 1.12.0 版本并解压

    tar -xzf flink-1.12.0-bin-scala_2.11.tgz
    cd flink-1.12.0-bin-scala_2.11
    

    二、启动一个 cluster

    Flink自带了一个单独的脚本来启动一个本地集群

    [flink@CNGULS038 flink]$  ./bin/start-cluster.sh
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Starting cluster.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Starting standalonesession daemon on host CNGULS038.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Starting taskexecutor daemon on host CNGULS038.
    
    
    image.png

    三、提交一个任务

    Flink的发行版附带了多个示例作业。你可以将其中一个应用程序快速部署到正在运行的集群。

    [flink@CNGULS038 flink]$ ./bin/flink run examples/streaming/WordCount.jar
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    SLF4J: Class path contains multiple SLF4J bindings.
    SLF4J: Found binding in [jar:file:/usr/local/flink/flink-1.12.2/lib/log4j-slf4j-impl-2.12.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    SLF4J: Found binding in [jar:file:/usr/hdp/3.1.5.0-152/hadoop/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
    SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
    Executing WordCount example with default input data set.
    Use --input to specify file input.
    Printing result to stdout. Use --output to specify output path.
    Job has been submitted with JobID 57d39dadc5a6d11449893803b8409c74
    Program execution finished
    Job with JobID 57d39dadc5a6d11449893803b8409c74 has finished.
    Job Runtime: 551 ms
    
    [flink@CNGULS038 flink]$ tail log/flink-*-taskexecutor-*.out
    (nymph,1)
    (in,3)
    (thy,1)
    (orisons,1)
    (be,4)
    (all,2)
    (my,1)
    (sins,1)
    (remember,1)
    (d,4)
    
    

    此外,你还可以检查Flink的web UI 来监视 集群和正在运行的作业的状态。

    image.png

    四、关闭集群

    任务完成之后,可以快速停止集群和所有正在运行的组件。

    [flink@CNGULS038 flink]$ ./bin/stop-cluster.sh
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Stopping taskexecutor daemon (pid: 125394) on host CNGULS038.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
    Stopping standalonesession daemon (pid: 125038) on host CNGULS038.
    
    

    看到这里的亲给个小红心,非常感谢

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