forked from D-Net/dnet-hadoop
workflow and parameter
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[
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{
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"paramName": "s",
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"paramLongName": "sourcePath",
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"paramDescription": "the source mdstore path",
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"paramRequired": true
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},
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{
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"paramName": "t",
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"paramLongName": "targetPath",
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"paramDescription": "the target mdstore path",
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"paramRequired": true
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},
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{
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"paramName": "m",
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"paramLongName": "master",
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"paramDescription": "the master name",
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"paramRequired": true
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}
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]
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>spark2</value>
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</property>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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<property>
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<name>hive_metastore_uris</name>
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<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
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</property>
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<property>
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<name>spark2YarnHistoryServerAddress</name>
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<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
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</property>
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<property>
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<name>spark2EventLogDir</name>
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<value>/user/spark/spark2ApplicationHistory</value>
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</property>
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<property>
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<name>spark2ExtraListeners</name>
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<value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
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</property>
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<property>
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<name>spark2SqlQueryExecutionListeners</name>
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<value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
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</property>
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</configuration>
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<workflow-app name="read Crossref dump from HDFS" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<!-- <property>-->
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<!-- <name>workingPath</name>-->
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<!-- <description>the working dir base 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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<property>
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<name>sparkExecutorCores</name>
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<description>number of cores used by single executor</description>
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</property>
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</parameters>
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<start to="generateCrossrefDataset"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="ReadCrossRefDump">
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<java>
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<main-class>eu.dnetlib.doiboost.crossref.ExtractCrossrefRecords</main-class>
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<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
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<arg>--workingPath</arg><arg>/data/doiboost/crossref/</arg>
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<arg>--crossrefFileNameTarGz</arg><arg>crossref.tar.gz</arg>
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</java>
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<ok to="generateCrossrefDataset"/>
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<error to="Kill"/>
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</action>
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<action name="generateCrossrefDataset">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<name>SparkCreateCrossredDataset</name>
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<class>eu.dnetlib.doiboost.crossref.GenerateCrossrefDatasetSpark</class>
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<jar>dhp-doiboost-${projectVersion}.jar</jar>
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<spark-opts>
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=20
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--executor-memory=6G
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--driver-memory=7G
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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</spark-opts>
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<arg>--master</arg><arg>yarn-cluster</arg>
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<arg>--sourcePath</arg><arg>/data/doiboost/crossref/filess</arg>
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<arg>--targetPath</arg><arg>/tmp/miriam/crossref/crossrefDataset</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>
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