2019-07-26 08:49:39 +08:00
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server.ip=192.168.3.141
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2018-10-24 17:33:46 +08:00
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server.port=8001
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#spark.master=spark://10.0.86.89:7077
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#spark.master=spark://10.0.86.191:7077
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spark.master=yarn
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spark.deploy.mode=cluster
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2019-07-26 08:49:39 +08:00
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#yarn.resourcemanager.hostname=10.0.86.191
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#yarn.resourcemanager.address=10.0.86.191:8032
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#yarn.access.namenode=hdfs://10.0.86.191:9000
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#yarn.stagingDir=hdfs://10.0.86.191:9000/tmp/
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#yarn.jars=hdfs://10.0.86.191:9000/user/spark/share/lib/*.jar
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2018-10-24 17:33:46 +08:00
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2019-07-26 08:49:39 +08:00
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hive.metastore.uris=thrift://192.168.3.140:9083
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2018-10-24 17:33:46 +08:00
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#piflow.bundle=/opt/project/piflow/out/artifacts/piflow_bundle/piflow-bundle.jar
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piflow.bundle=/opt/project/piflow/piflow-server/target/piflow-server-0.9.jar
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2019-07-26 08:49:39 +08:00
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yarn.url=http://192.168.3.139:8088/ws/v1/cluster/apps/
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checkpoint.path=hdfs://192.168.3.138:8020/apps/piflow/checkpoints/
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debug.path=hdfs://192.168.3.138:8020/apps/piflow/debug/
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increment.path=hdfs://192.168.3.138:8020/apps/piflow/increment/
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2018-10-24 17:33:46 +08:00
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2019-01-24 15:32:07 +08:00
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#show data in log
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2019-01-14 16:54:22 +08:00
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data.show=10
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2019-01-24 15:32:07 +08:00
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#monitor the throughput of flow
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monitor.throughput=true
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2018-10-25 13:18:14 +08:00
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h2.port=50001
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