updated the transformation Baseline workflow to include mdstore rollback/commit action
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242d647146
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@ -9,8 +9,12 @@
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<description>The IS lookUp service endopoint</description>
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</property>
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<property>
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<name>targetPath</name>
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<description>The target path</description>
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<name>mdStoreOutputId</name>
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<description>the identifier of the cleaned MDStore</description>
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</property>
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<property>
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<name>mdStoreManagerURI</name>
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<description>the path of the cleaned mdstore</description>
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</property>
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<property>
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<name>skipUpdate</name>
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@ -19,12 +23,31 @@
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</property>
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</parameters>
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<start to="ConvertDataset"/>
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<start to="StartTransaction"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="StartTransaction">
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<java>
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<configuration>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
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<arg>--action</arg><arg>NEW_VERSION</arg>
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<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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<capture-output/>
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</java>
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<ok to="ConvertDataset"/>
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<error to="RollBack"/>
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</action>
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<action name="ConvertDataset">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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@ -43,16 +66,52 @@
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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</spark-opts>
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<arg>--workingPath</arg><arg>${baselineWorkingPath}</arg>
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<arg>--targetPath</arg><arg>${targetPath}</arg>
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<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
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<arg>--master</arg><arg>yarn</arg>
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<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
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<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
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<arg>--skipUpdate</arg><arg>${skipUpdate}</arg>
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</spark>
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<ok to="CommitVersion"/>
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<error to="RollBack"/>
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</action>
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<action name="CommitVersion">
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<java>
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<configuration>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
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<arg>--action</arg><arg>COMMIT</arg>
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<arg>--namenode</arg><arg>${nameNode}</arg>
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<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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</java>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<action name="RollBack">
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<java>
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<configuration>
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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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</configuration>
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<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
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<arg>--action</arg><arg>ROLLBACK</arg>
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<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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</java>
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<ok to="Kill"/>
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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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@ -2,9 +2,12 @@ package eu.dnetlib.dhp.sx.bio.ebi
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.dhp.collection.CollectionUtils
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import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
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import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
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import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
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import eu.dnetlib.dhp.sx.bio.pubmed._
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import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
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import eu.dnetlib.dhp.utils.ISLookupClientFactory
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import org.apache.commons.io.IOUtils
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import org.apache.hadoop.conf.Configuration
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@ -164,11 +167,15 @@ object SparkCreateBaselineDataFrame {
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val workingPath = parser.get("workingPath")
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log.info("workingPath: {}", workingPath)
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val targetPath = parser.get("targetPath")
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log.info("targetPath: {}", targetPath)
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val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
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log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
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val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
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val outputBasePath = cleanedMdStoreVersion.getHdfsPath
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log.info("outputBasePath: {}", outputBasePath)
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val hdfsServerUri = parser.get("hdfsServerUri")
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log.info("hdfsServerUri: {}", targetPath)
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log.info("hdfsServerUri: {}", hdfsServerUri)
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val skipUpdate = parser.get("skipUpdate")
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log.info("skipUpdate: {}", skipUpdate)
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@ -216,8 +223,11 @@ object SparkCreateBaselineDataFrame {
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.map(a => PubMedToOaf.convert(a, vocabularies))
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.as[Oaf]
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.filter(p => p != null),
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targetPath
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s"$outputBasePath/$MDSTORE_DATA_PATH"
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)
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val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
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val mdStoreSize = df.count
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writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
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}
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}
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