forked from antonis.lempesis/dnet-hadoop
implemented transformation test
This commit is contained in:
parent
73d772a4b4
commit
0634674add
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@ -27,7 +27,7 @@ object GenerateDataciteDatasetSpark {
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val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
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val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
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log.info(s"vocabulary size is ${vocabularies.getTerms("dnet:languages").size()}")
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val spark: SparkSession = SparkSession.builder().config(conf)
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.appName(GenerateDataciteDatasetSpark.getClass.getSimpleName)
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.master(master)
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@ -24,6 +24,7 @@ import eu.dnetlib.data.mdstore.manager.common.model.MDStoreVersion;
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import eu.dnetlib.dhp.aggregation.common.AggregationCounter;
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import eu.dnetlib.dhp.aggregation.common.AggregationUtility;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
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import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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@ -60,15 +61,23 @@ public class TransformSparkJobNode {
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final String isLookupUrl = parser.get("isLookupUrl");
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log.info(String.format("isLookupUrl: %s", isLookupUrl));
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final String dateOfTransformation = parser.get("dateOfTransformation");
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log.info(String.format("dateOfTransformation: %s", dateOfTransformation));
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final ISLookUpService isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl);
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final VocabularyGroup vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService);
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log.info("Retrieved {} vocabularies", vocabularies.vocabularyNames().size());
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> transformRecords(
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parser.getObjectMap(), isLookupService, spark, nativeMdStoreVersion.getHdfsPath(),
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cleanedMdStoreVersion.getHdfsPath()));
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parser.getObjectMap(), isLookupService, spark, nativeMdStoreVersion.getHdfsPath() + "/store",
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cleanedMdStoreVersion.getHdfsPath() + "/store"));
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}
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public static void transformRecords(final Map<String, String> args, final ISLookUpService isLookUpService,
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@ -82,7 +91,7 @@ public class TransformSparkJobNode {
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final Encoder<MetadataRecord> encoder = Encoders.bean(MetadataRecord.class);
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final Dataset<MetadataRecord> mdstoreInput = spark.read().format("parquet").load(inputPath).as(encoder);
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final MapFunction<MetadataRecord, MetadataRecord> XSLTTransformationFunction = TransformationFactory
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.getTransformationPlugin(args, ct, isLookUpService);
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.getTransformationPlugin(args, ct, isLookUpService);
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mdstoreInput.map(XSLTTransformationFunction, encoder).write().save(outputPath + "/store");
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log.info("Transformed item " + ct.getProcessedItems().count());
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@ -18,7 +18,7 @@ import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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public class TransformationFactory {
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private static final Logger log = LoggerFactory.getLogger(TransformationFactory.class);
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public static final String TRULE_XQUERY = "for $x in collection('/db/DRIVER/TransformationRuleDSResources/TransformationRuleDSResourceType') where $x//RESOURCE_IDENTIFIER/@value = \"%s\" return $x//CODE/text()";
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public static final String TRULE_XQUERY = "for $x in collection('/db/DRIVER/TransformationRuleDSResources/TransformationRuleDSResourceType') where $x//RESOURCE_IDENTIFIER/@value = \"%s\" return $x//CODE/*[local-name() =\"stylesheet\"]";
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public static MapFunction<MetadataRecord, MetadataRecord> getTransformationPlugin(
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final Map<String, String> jobArgument, final AggregationCounter counters, final ISLookUpService isLookupService)
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@ -57,7 +57,7 @@ public class TransformationFactory {
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private static String queryTransformationRuleFromIS(final String transformationRuleId,
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final ISLookUpService isLookUpService) throws Exception {
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final String query = String.format(TRULE_XQUERY, transformationRuleId);
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log.info("asking query to IS: " + query);
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System.out.println("asking query to IS: " + query);
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List<String> result = isLookUpService.quickSearchProfile(query);
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if (result == null || result.isEmpty())
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@ -15,8 +15,5 @@
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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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</configuration>
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@ -18,12 +18,17 @@
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</property>
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<property>
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<name>transformationPlugin</name>
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<value>XSLT_TRANSFORM</value>
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<description>The transformation Plugin</description>
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</property>
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<property>
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<name>dateOfTransformation</name>
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<description>The timestamp of the transformation date</description>
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</property>
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<property>
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<name>isLookupUrl</name>
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<description>The IS lookUp service endopoint</description>
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</property>
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</parameters>
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@ -35,22 +40,36 @@
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<action name="BeginRead">
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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>READ_LOCK</arg>
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<arg>--mdStoreID</arg><arg>${mdStoreInputId}</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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<capture-output/>
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</java>
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<ok to="StartTransaction"/>
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<error to="Kill"/>
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</action>
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<action name="StartTransaction">
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<java>
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<configuration>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
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<arg>--action</arg><arg>NEW_VERSION</arg>
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<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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<capture-output/>
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</java>
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<ok to="TransformJob"/>
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<error to="EndReadRollBack"/>
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@ -62,7 +81,7 @@
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<mode>cluster</mode>
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<name>Transform MetadataStore</name>
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<class>eu.dnetlib.dhp.transformation.TransformSparkJobNode</class>
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<jar>dhp-aggregations-${projectVersion}.jar</jar>
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<jar>dhp-aggregation-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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@ -72,11 +91,12 @@
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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</spark-opts>
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<arg>--mdstoreInputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
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<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('BeginRead')['mdStoreReadLockVersion']}</arg>
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<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
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<arg>--mdstoreInputVersion</arg><arg>${wf:actionData('BeginRead')['mdStoreReadLockVersion']}</arg>
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<arg>--dateOfTransformation</arg><arg>${dateOfTransformation}</arg>
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<arg>--transformationPlugin</arg><arg>${transformationPlugin}</arg>
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<arg>--transformationRuleId</arg><arg>${transformationRuleId}</arg>
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<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
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</spark>
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<ok to="EndRead"/>
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<error to="EndReadRollBack"/>
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@ -84,6 +104,13 @@
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<action name="EndRead">
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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>READ_UNLOCK</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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@ -96,6 +123,12 @@
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<action name="CommitVersion">
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<java>
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<configuration>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
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<arg>--action</arg><arg>COMMIT</arg>
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<arg>--namenode</arg><arg>${nameNode}</arg>
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@ -108,18 +141,30 @@
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<action name="EndReadRollBack">
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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>READ_UNLOCK</arg>
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<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
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<arg>--readMDStoreId</arg><arg>${wf:actionData('BeginRead')['mdStoreReadLockVersion']}</arg>
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<capture-output/>
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</java>
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</java>
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<ok to="RollBack"/>
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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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@ -0,0 +1,197 @@
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package eu.dnetlib.dhp.aggregation;
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import java.io.File;
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import java.io.FileOutputStream;
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import java.io.FileReader;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.util.HashMap;
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import java.util.Map;
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import java.util.stream.Collectors;
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import java.util.stream.Stream;
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import eu.dnetlib.dhp.collection.GenerateNativeStoreSparkJob;
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
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import eu.dnetlib.dhp.transformation.TransformSparkJobNode;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import org.apache.commons.io.FileUtils;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.IntWritable;
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import org.apache.hadoop.io.Text;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoder;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import org.junit.jupiter.api.*;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.data.mdstore.manager.common.model.MDStoreVersion;
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import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
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@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
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public class AggregationJobTest {
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static SparkSession spark;
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private static Path workingDir;
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private static Encoder<MetadataRecord> encoder;
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private static final String encoding = "XML";
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private static final String dateOfCollection = System.currentTimeMillis() + "";
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private static final String xpath = "//*[local-name()='header']/*[local-name()='identifier']";
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private static String provenance;
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private static final Logger log = LoggerFactory.getLogger(AggregationJobTest.class);
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@BeforeAll
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public static void beforeAll() throws IOException {
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provenance = IOUtils.toString(AggregationJobTest.class.getResourceAsStream("/eu/dnetlib/dhp/collection/provenance.json"));
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workingDir = Files.createTempDirectory(AggregationJobTest.class.getSimpleName());
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log.info("using work dir {}", workingDir);
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SparkConf conf = new SparkConf();
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conf.setAppName(AggregationJobTest.class.getSimpleName());
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conf.setMaster("local[*]");
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conf.set("spark.driver.host", "localhost");
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conf.set("hive.metastore.local", "true");
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conf.set("spark.ui.enabled", "false");
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conf.set("spark.sql.warehouse.dir", workingDir.toString());
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conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
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encoder = Encoders.bean(MetadataRecord.class);
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spark = SparkSession
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.builder()
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.appName(AggregationJobTest.class.getSimpleName())
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.config(conf)
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.getOrCreate();
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}
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@AfterAll
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public static void afterAll() throws IOException {
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FileUtils.deleteDirectory(workingDir.toFile());
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spark.stop();
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}
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@Test
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@Order(1)
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public void testGenerateNativeStoreSparkJobRefresh() throws Exception {
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MDStoreVersion mdStoreV1 = prepareVersion("/eu/dnetlib/dhp/collection/mdStoreVersion_1.json");
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FileUtils.forceMkdir(new File(mdStoreV1.getHdfsPath()));
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IOUtils
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.copy(
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getClass().getResourceAsStream("/eu/dnetlib/dhp/collection/sequence_file"),
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new FileOutputStream(mdStoreV1.getHdfsPath() + "/sequence_file"));
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GenerateNativeStoreSparkJob
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.main(
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new String[]{
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-encoding", encoding,
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"-dateOfCollection", dateOfCollection,
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"-provenance", provenance,
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"-xpath", xpath,
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"-mdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV1),
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"-readMdStoreVersion", "",
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"-workflowId", "abc"
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});
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verify(mdStoreV1);
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}
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@Test
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@Order(2)
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public void testGenerateNativeStoreSparkJobIncremental() throws Exception {
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MDStoreVersion mdStoreV2 = prepareVersion("/eu/dnetlib/dhp/collection/mdStoreVersion_2.json");
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FileUtils.forceMkdir(new File(mdStoreV2.getHdfsPath()));
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IOUtils
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.copy(
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getClass().getResourceAsStream("/eu/dnetlib/dhp/collection/sequence_file"),
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new FileOutputStream(mdStoreV2.getHdfsPath() + "/sequence_file"));
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MDStoreVersion mdStoreV1 = prepareVersion("/eu/dnetlib/dhp/collection/mdStoreVersion_1.json");
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GenerateNativeStoreSparkJob
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.main(
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new String[]{
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-encoding", encoding,
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"-dateOfCollection", dateOfCollection,
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"-provenance", provenance,
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"-xpath", xpath,
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"-mdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV2),
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"-readMdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV1),
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"-workflowId", "abc"
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});
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verify(mdStoreV2);
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}
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//@Test
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@Order(3)
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public void testTransformSparkJob() throws Exception {
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MDStoreVersion mdStoreV2 = prepareVersion("/eu/dnetlib/dhp/collection/mdStoreVersion_2.json");
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MDStoreVersion mdStoreCleanedVersion = prepareVersion("/eu/dnetlib/dhp/collection/mdStoreCleanedVersion.json");
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TransformSparkJobNode.main(new String[]{
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"-isSparkSessionManaged", Boolean.FALSE.toString(),
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"-dateOfTransformation", dateOfCollection,
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"-mdstoreInputVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV2),
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"-mdstoreOutputVersion", OBJECT_MAPPER.writeValueAsString(mdStoreCleanedVersion),
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"-transformationPlugin", "XSLT_TRANSFORM",
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"-isLookupUrl", "https://dev-openaire.d4science.org/is/services/isLookUp",
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"-transformationRuleId", "183dde52-a69b-4db9-a07e-1ef2be105294_VHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZXMvVHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZVR5cGU="});
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}
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protected void verify(MDStoreVersion mdStoreVersion) throws IOException {
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Assertions.assertTrue(new File(mdStoreVersion.getHdfsPath()).exists());
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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long seqFileSize = sc
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.sequenceFile(mdStoreVersion.getHdfsPath() + "/sequence_file", IntWritable.class, Text.class)
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.count();
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final Dataset<MetadataRecord> mdstore = spark.read().load(mdStoreVersion.getHdfsPath() + "/store").as(encoder);
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long mdStoreSize = mdstore.count();
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long declaredSize = Long.parseLong(IOUtils.toString(new FileReader(mdStoreVersion.getHdfsPath() + "/size")));
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Assertions.assertEquals(seqFileSize, declaredSize, "the size must be equal");
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Assertions.assertEquals(seqFileSize, mdStoreSize, "the size must be equal");
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long uniqueIds = mdstore
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.map((MapFunction<MetadataRecord, String>) MetadataRecord::getId, Encoders.STRING())
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.distinct()
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.count();
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Assertions.assertEquals(seqFileSize, uniqueIds, "the size must be equal");
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}
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private MDStoreVersion prepareVersion(String filename) throws IOException {
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MDStoreVersion mdstore = OBJECT_MAPPER
|
||||
.readValue(IOUtils.toString(getClass().getResource(filename)), MDStoreVersion.class);
|
||||
mdstore.setHdfsPath(String.format(mdstore.getHdfsPath(), workingDir.toString()));
|
||||
return mdstore;
|
||||
}
|
||||
|
||||
}
|
|
@ -1,169 +0,0 @@
|
|||
|
||||
package eu.dnetlib.dhp.collection;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.FileOutputStream;
|
||||
import java.io.FileReader;
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
|
||||
import org.apache.commons.io.FileUtils;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.hadoop.io.IntWritable;
|
||||
import org.apache.hadoop.io.Text;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoder;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.junit.jupiter.api.*;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.data.mdstore.manager.common.model.MDStoreVersion;
|
||||
import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
|
||||
|
||||
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
|
||||
public class GenerateNativeStoreSparkJobTest {
|
||||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
private static SparkSession spark;
|
||||
|
||||
private static Path workingDir;
|
||||
|
||||
private static Encoder<MetadataRecord> encoder;
|
||||
|
||||
private static final String encoding = "XML";
|
||||
private static final String dateOfCollection = System.currentTimeMillis() + "";
|
||||
private static final String xpath = "//*[local-name()='header']/*[local-name()='identifier']";
|
||||
private static String provenance;
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(GenerateNativeStoreSparkJobTest.class);
|
||||
|
||||
@BeforeAll
|
||||
public static void beforeAll() throws IOException {
|
||||
provenance = IOUtils.toString(GenerateNativeStoreSparkJobTest.class.getResourceAsStream("provenance.json"));
|
||||
workingDir = Files.createTempDirectory(GenerateNativeStoreSparkJobTest.class.getSimpleName());
|
||||
log.info("using work dir {}", workingDir);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
|
||||
conf.setAppName(GenerateNativeStoreSparkJobTest.class.getSimpleName());
|
||||
|
||||
conf.setMaster("local[*]");
|
||||
conf.set("spark.driver.host", "localhost");
|
||||
conf.set("hive.metastore.local", "true");
|
||||
conf.set("spark.ui.enabled", "false");
|
||||
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||
|
||||
encoder = Encoders.bean(MetadataRecord.class);
|
||||
spark = SparkSession
|
||||
.builder()
|
||||
.appName(GenerateNativeStoreSparkJobTest.class.getSimpleName())
|
||||
.config(conf)
|
||||
.getOrCreate();
|
||||
}
|
||||
|
||||
@AfterAll
|
||||
public static void afterAll() throws IOException {
|
||||
FileUtils.deleteDirectory(workingDir.toFile());
|
||||
spark.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(1)
|
||||
public void testGenerateNativeStoreSparkJobRefresh() throws Exception {
|
||||
|
||||
MDStoreVersion mdStoreV1 = prepareVersion("mdStoreVersion_1.json");
|
||||
FileUtils.forceMkdir(new File(mdStoreV1.getHdfsPath()));
|
||||
|
||||
IOUtils
|
||||
.copy(
|
||||
getClass().getResourceAsStream("sequence_file"),
|
||||
new FileOutputStream(mdStoreV1.getHdfsPath() + "/sequence_file"));
|
||||
|
||||
GenerateNativeStoreSparkJob
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-encoding", encoding,
|
||||
"-dateOfCollection", dateOfCollection,
|
||||
"-provenance", provenance,
|
||||
"-xpath", xpath,
|
||||
"-mdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV1),
|
||||
"-readMdStoreVersion", "",
|
||||
"-workflowId", "abc"
|
||||
});
|
||||
|
||||
verify(mdStoreV1);
|
||||
}
|
||||
|
||||
@Test
|
||||
@Order(2)
|
||||
public void testGenerateNativeStoreSparkJobIncremental() throws Exception {
|
||||
|
||||
MDStoreVersion mdStoreV2 = prepareVersion("mdStoreVersion_2.json");
|
||||
FileUtils.forceMkdir(new File(mdStoreV2.getHdfsPath()));
|
||||
|
||||
IOUtils
|
||||
.copy(
|
||||
getClass().getResourceAsStream("sequence_file"),
|
||||
new FileOutputStream(mdStoreV2.getHdfsPath() + "/sequence_file"));
|
||||
|
||||
MDStoreVersion mdStoreV1 = prepareVersion("mdStoreVersion_1.json");
|
||||
|
||||
GenerateNativeStoreSparkJob
|
||||
.main(
|
||||
new String[] {
|
||||
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||
"-encoding", encoding,
|
||||
"-dateOfCollection", dateOfCollection,
|
||||
"-provenance", provenance,
|
||||
"-xpath", xpath,
|
||||
"-mdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV2),
|
||||
"-readMdStoreVersion", OBJECT_MAPPER.writeValueAsString(mdStoreV1),
|
||||
"-workflowId", "abc"
|
||||
});
|
||||
|
||||
verify(mdStoreV2);
|
||||
}
|
||||
|
||||
protected void verify(MDStoreVersion mdStoreVersion) throws IOException {
|
||||
Assertions.assertTrue(new File(mdStoreVersion.getHdfsPath()).exists());
|
||||
|
||||
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
long seqFileSize = sc
|
||||
.sequenceFile(mdStoreVersion.getHdfsPath() + "/sequence_file", IntWritable.class, Text.class)
|
||||
.count();
|
||||
|
||||
final Dataset<MetadataRecord> mdstore = spark.read().load(mdStoreVersion.getHdfsPath() + "/store").as(encoder);
|
||||
long mdStoreSize = mdstore.count();
|
||||
|
||||
long declaredSize = Long.parseLong(IOUtils.toString(new FileReader(mdStoreVersion.getHdfsPath() + "/size")));
|
||||
|
||||
Assertions.assertEquals(seqFileSize, declaredSize, "the size must be equal");
|
||||
Assertions.assertEquals(seqFileSize, mdStoreSize, "the size must be equal");
|
||||
|
||||
long uniqueIds = mdstore
|
||||
.map((MapFunction<MetadataRecord, String>) MetadataRecord::getId, Encoders.STRING())
|
||||
.distinct()
|
||||
.count();
|
||||
|
||||
Assertions.assertEquals(seqFileSize, uniqueIds, "the size must be equal");
|
||||
}
|
||||
|
||||
private MDStoreVersion prepareVersion(String filename) throws IOException {
|
||||
MDStoreVersion mdstore = OBJECT_MAPPER
|
||||
.readValue(IOUtils.toString(getClass().getResource(filename)), MDStoreVersion.class);
|
||||
mdstore.setHdfsPath(String.format(mdstore.getHdfsPath(), workingDir.toString()));
|
||||
return mdstore;
|
||||
}
|
||||
|
||||
}
|
|
@ -38,6 +38,7 @@ import eu.dnetlib.dhp.collection.CollectionJobTest;
|
|||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
|
||||
import eu.dnetlib.dhp.model.mdstore.MetadataRecord;
|
||||
import eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction;
|
||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
|
||||
|
@ -74,6 +75,9 @@ public class TransformationJobTest {
|
|||
spark.stop();
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
@Test
|
||||
@DisplayName("Test Transform Single XML using XSLTTransformator")
|
||||
public void testTransformSaxonHE() throws Exception {
|
||||
|
|
|
@ -0,0 +1,9 @@
|
|||
{
|
||||
"id":"md-cleaned",
|
||||
"mdstore":"md-cleaned",
|
||||
"writing":false,
|
||||
"readCount":1,
|
||||
"lastUpdate":1612187563099,
|
||||
"size":71,
|
||||
"hdfsPath":"%s/mdstore/md-cleaned"
|
||||
}
|
Loading…
Reference in New Issue