dnet-and/dnet-and-test/src/main/resources/lda_tuning/oozie_app/workflow.xml

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XML

<workflow-app name="LDA Tuning WF" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>entitiesPath</name>
<description>the input entity path</description>
</property>
<property>
<name>workingPath</name>
<description>path for the working directory</description>
</property>
<property>
<name>numPartitions</name>
<description>number of partitions for the spark files</description>
</property>
<property>
<name>inputFieldJPath</name>
<description>json path of the input field in the entities</description>
</property>
<property>
<name>vocabularyPath</name>
<description>location of the vocabulary</description>
</property>
<property>
<name>vocabularyType</name>
<description>type of the vocabulary: file or tokens</description>
</property>
<property>
<name>trainRatio</name>
<description>percentage of the data to be used as training set</description>
</property>
<property>
<name>numTopics</name>
<description>number of topics to which test the LDA model</description>
</property>
<property>
<name>maxIterations</name>
<description>maximum number of iterations of the LDA algorithm</description>
</property>
<property>
<name>outputModelPath</name>
<description>location of the best LDA model</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="resetWorkingPath"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="resetWorkingPath">
<fs>
<delete path="${workingPath}"/>
</fs>
<ok to="TokenizeData"/>
<error to="Kill"/>
</action>
<action name="TokenizeData">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Tokenize Data</name>
<class>eu.dnetlib.jobs.SparkTokenizer</class>
<jar>dnet-and-test-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=32
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
--conf spark.dynamicAllocation.enabled=false
</spark-opts>
<arg>--entitiesPath</arg><arg>${entitiesPath}</arg>
<arg>--inputFieldJPath</arg><arg>${inputFieldJPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--numPartitions</arg><arg>${numPartitions}</arg>
</spark>
<ok to="CreateVocabulary"/>
<error to="Kill"/>
</action>
<action name="CreateVocabulary">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Create Vocabulary</name>
<class>eu.dnetlib.jobs.SparkCreateVocabulary</class>
<jar>dnet-and-test-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=32
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
--conf spark.dynamicAllocation.enabled=true
</spark-opts>
<arg>--vocabularyPath</arg><arg>${vocabularyPath}</arg>
<arg>--vocabularyType</arg><arg>${vocabularyType}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--numPartitions</arg><arg>${numPartitions}</arg>
</spark>
<ok to="CreateCountVectors"/>
<error to="Kill"/>
</action>
<action name="CreateCountVectors">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Create Count Vectors</name>
<class>eu.dnetlib.jobs.SparkCountVectorizer</class>
<jar>dnet-and-test-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--vocabularyPath</arg><arg>${vocabularyPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--numPartitions</arg><arg>${numPartitions}</arg>
</spark>
<ok to="LDATuning"/>
<error to="Kill"/>
</action>
<action name="LDATuning">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>LDA Tuning</name>
<class>eu.dnetlib.jobs.featureextraction.lda.SparkLDATuning</class>
<jar>dnet-and-test-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--trainRatio</arg><arg>${trainRatio}</arg>
<arg>--numTopics</arg><arg>${numTopics}</arg>
<arg>--maxIterations</arg><arg>${maxIterations}</arg>
<arg>--outputModelPath</arg><arg>${outputModelPath}</arg>
<arg>--workingPath</arg><arg>${workingPath}</arg>
<arg>--numPartitions</arg><arg>${numPartitions}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>