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- 最终我选择了:Apache 1.7.0 Flink only Scala 2.11,共:240M
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- 解压:` tar zxf flink-*.tgz `
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- 进入根目录:` cd flink-1.7.0 ` ,完整路径:` cd /usr/local/flink-1.7.0 `
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- - 启动:` cd /usr/local/flink-1.7.0 && ./bin/start-cluster.sh `
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- - 停止:` cd /usr/local/flink-1.7.0 && ./bin/stop-cluster.sh `
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+ - 改下目录名方便后面书写:` mv /usr/local/flink-1.7.0 /usr/local/flink `
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+ - 启动:` cd /usr/local/flink && ./bin/start-cluster.sh `
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+ - 停止:` cd /usr/local/flink && ./bin/stop-cluster.sh `
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- 查看日志:` tail -300f log/flink-*-standalonesession-*.log `
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- 浏览器访问 WEB 管理:` http://192.168.0.105:8081 `
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## Demo
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- - 运行程序解压包下也有一些 jar demo:` cd /usr/local/flink-1.7.0 /examples `
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+ - 运行程序解压包下也有一些 jar demo:` cd /usr/local/flink/examples `
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- 官网:< https://ci.apache.org/projects/flink/flink-docs-release-1.7/examples/ >
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- DataStream API:< https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/datastream_api.html >
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- DataSet API:< https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/batch/ >
@@ -53,7 +54,7 @@ mvn archetype:generate \
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- 可以直接在 IntelliJ IDEA 上 run
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- 也可以交给服务器上 flink 执行,也有两种方式:
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- - 把 jar 自己上传 Flink 服务器运行:`cd /usr/local/flink-1.7.0 && ./bin/flink run -c com.youmeek.WordCount /opt/flink-simple-demo-1.0-SNAPSHOT.jar`
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+ - 把 jar 自己上传 Flink 服务器运行:`cd /usr/local/flink && ./bin/flink run -c com.youmeek.WordCount /opt/flink-simple-demo-1.0-SNAPSHOT.jar`
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- 也可以通过 WEB UI 上传 jar:<http://192.168.0.105:8081/#/submit>
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- 有一个 `Add New` 按钮可以上传 jar 包,然后填写 Class 路径:`com.youmeek.WordCount`
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- `parallelism` 表示并行度,填写数字,一般并行度设置为集群 CPU 核数总和的 2-3 倍(如果是单机模式不需要设置并行度)
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