准备工作
我们假设你下载的StreamingPro包在/tmp目录下。
复制如下模板
{ "esToCsv": { "desc": "测试", "strategy": "streaming.core.strategy.SparkStreamingStrategy", "algorithm": [], "ref": [], "compositor": [
{ "name": "streaming.core.compositor.spark.source.SQLSourceCompositor", "params": [
{ "format": "org.elasticsearch.spark.sql", "path": "索引名称", "es.nodes": "这里是填写集群地址哈", "es.mapping.date.rich": "false"
}
]
},
{ "name": "streaming.core.compositor.spark.transformation.JSONTableCompositor", "params": [
{ "tableName": "table1"
}
]
},
{ "name": "streaming.core.compositor.spark.transformation.SQLCompositor", "params": [
{ "sql": "select * from table1"
}
]
},
{ "name": "streaming.core.compositor.spark.output.SQLOutputCompositor", "params": [
{ "format": "com.databricks.spark.csv", "path": "file:///tmp/csv-table1", "header": "true", "inferSchema": "true"
}
]
}
], "configParams": {
}
}
}假设该文件所在路径是 /tmp/esToCSV.json。
本机运行
cd $SPARK_HOME./bin/spark-submit --class streaming.core.StreamingApp \ --master local[2] \ --name test \ /tmp/streamingpro-0.3.2-SNAPSHOT-online-1.6.1.jar \ -streaming.name test \ -streaming.platform spark \ -streaming.job.file.path file:// /tmp/esToCSV.json
在集群运行
cd $SPARK_HOME./bin/spark-submit --class streaming.core.StreamingApp \ --master yarn-cluster\ --name test \ /tmp/streamingpro-0.3.2-SNAPSHOT-online-1.6.1.jar \ -streaming.name test \ -streaming.platform spark \ -streaming.job.file.path hdfs://clusternameAndPort/tmp/esToCSV.json
作者：祝威廉
链接：https://www.jianshu.com/p/18f949ff1409