forked from D-Net/dnet-hadoop
65 lines
2.4 KiB
XML
65 lines
2.4 KiB
XML
<workflow-app name="Dedup Entities" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>entity</name>
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<description>the entity that should be processed</description>
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</property>
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<property>
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<name>entityPath</name>
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<description>the source path</description>
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</property>
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<property>
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<name>mergeRelPath</name>
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<description>the target path</description>
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</property>
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<property>
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<name>dedupRecordPath</name>
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<description>the target path</description>
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</property>
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<property>
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<name>master</name>
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<description>the target path</description>
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</property>
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<property>
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<name>sparkDriverMemory</name>
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<description>memory for driver process</description>
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</property>
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<property>
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<name>sparkExecutorMemory</name>
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<description>memory for individual executor</description>
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</property>
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</parameters>
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<start to="updateEntity"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="updateEntity">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<master>${master}</master>
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<mode>cluster</mode>
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<name>Update ${entity} and add DedupRecord</name>
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<class>eu.dnetlib.dedup.SparkUpdateEntityJob</class>
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<jar>dhp-dedup-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory ${sparkExecutorMemory}
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--driver-memory=${sparkDriverMemory}
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--num-executors 100
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--conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2"
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</spark-opts>
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<arg>-mt</arg><arg>${master}</arg>
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<arg>--entityPath</arg><arg>${entityPath}</arg>
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<arg>--mergeRelPath</arg><arg>${mergeRelPath}</arg>
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<arg>--entity</arg><arg>${entity}</arg>
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<arg>--dedupRecordPath</arg><arg>${dedupRecordPath}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app> |