forked from D-Net/dnet-hadoop
Add actionset creation for project bip indicators in workflow
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@ -41,7 +41,8 @@ import scala.Tuple2;
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*/
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public class SparkAtomicActionScoreJob implements Serializable {
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private static final String DOI = "doi";
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private static final String RESULT = "result";
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private static final String PROJECT = "project";
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private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionScoreJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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@ -79,10 +80,10 @@ public class SparkAtomicActionScoreJob implements Serializable {
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// follow different procedures for different target entities
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switch (targetEntity) {
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case "result":
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case RESULT:
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prepareResults(spark, inputPath, outputPath);
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break;
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case "project":
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case PROJECT:
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prepareProjects(spark, inputPath, outputPath);
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break;
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default:
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@ -34,7 +34,6 @@
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<prepare>
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<delete path="${synonymFolder}"/>
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</prepare>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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@ -90,9 +89,8 @@
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<!-- This is the name of our job -->
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@ -131,7 +129,6 @@
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<job-tracker>${jobTracker}</job-tracker>
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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@ -181,9 +178,8 @@
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<!-- This is the name of our job -->
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@ -235,7 +231,7 @@
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<!-- Reference says: The master element indicates the url of the Spark Master. Ex: spark://host:port, mesos://host:port, yarn-cluster, yarn-master, or local. -->
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<!-- <master>local[*]</master> -->
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<!-- Reference says: The mode element if present indicates the mode of spark, where to run spark driver program. Ex: client,cluster. | In my case I always have a client -->
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<!-- <mode>client</mode> -->
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<!-- <mode>client</mode> -->
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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@ -336,12 +332,12 @@
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<!-- This should give the machine/root of the hdfs -->
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<name-node>${nameNode}</name-node>
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<!-- Exec is needed for shell commands - points to type of shell command -->
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<exec>/usr/bin/bash</exec>
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<!-- name of script to run -->
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<argument>get_ranking_files.sh</argument>
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<!-- We only pass the directory where we expect to find the rankings -->
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<argument>/${workflowDataDir}</argument>
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<!-- Exec is needed for shell commands - points to type of shell command -->
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<exec>/usr/bin/bash</exec>
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<!-- name of script to run -->
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<argument>get_ranking_files.sh</argument>
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<!-- We only pass the directory where we expect to find the rankings -->
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<argument>/${workflowDataDir}</argument>
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<!-- the name of the file run -->
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<file>${wfAppPath}/get_ranking_files.sh#get_ranking_files.sh</file>
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@ -374,8 +370,8 @@
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<!-- This is the name of our job -->
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@ -422,8 +418,8 @@
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<!-- This is the name of our job -->
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@ -476,7 +472,6 @@
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<prepare>
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<delete path="${synonymFolder}"/>
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</prepare>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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@ -520,7 +515,6 @@
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<!-- This should give the machine/root of the hdfs, serafeim has provided a link with the required job properties -->
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<name-node>${nameNode}</name-node>
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<!-- using configs from an example on openaire -->
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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@ -564,17 +558,12 @@
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<fs>
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<delete path="${actionSetOutputPath}"/>
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<mkdir path="${actionSetOutputPath}"/>
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<!--
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<delete path="${workingDir}"/>
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<mkdir path="${workingDir}"/>
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-->
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</fs>
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<ok to="createActionSet"/>
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<ok to="createActionSetForResults"/>
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<error to="actionset-delete-fail"/>
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</action>
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<action name="createActionSet">
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<action name="createActionSetForResults">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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@ -593,12 +582,12 @@
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</spark-opts>
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<arg>--inputPath</arg><arg>${bipScorePath}</arg>
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<arg>--outputPath</arg><arg>${actionSetOutputPath}</arg>
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</spark>
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<arg>--targetEntity</arg><arg>result</arg>
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</spark>
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<ok to="project-impact-indicators"/>
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<error to="actionset-creation-fail"/>
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</action>
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<!-- PAGERANK here -->
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<action name="project-impact-indicators">
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<!-- This is required as a tag for spark jobs, regardless of programming language -->
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<spark xmlns="uri:oozie:spark-action:0.2">
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@ -645,13 +634,38 @@
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</spark>
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<!-- Do this after finishing okay -->
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<ok to="end" />
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<ok to="createActionSetForProjects" />
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<!-- Go there if we have an error -->
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<error to="project-impact-indicators-fail" />
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</action>
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<action name="createActionSetForProjects">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Produces the atomic action with the bip finder scores for projects</name>
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<class>eu.dnetlib.dhp.actionmanager.bipfinder.SparkAtomicActionScoreJob</class>
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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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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
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</spark-opts>
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<arg>--inputPath</arg><arg>${projectImpactIndicatorsOutput}</arg>
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<arg>--outputPath</arg><arg>${actionSetOutputPath}</arg>
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<arg>--targetEntity</arg><arg>project</arg>
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</spark>
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<ok to="end"/>
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<error to="actionset-project-creation-fail"/>
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</action>
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<!-- TODO: end the workflow-->
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<!-- Define ending node -->
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@ -695,11 +709,14 @@
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</kill>
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<kill name="actionset-creation-fail">
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<message>ActionSet creation failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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<message>ActionSet creation for results failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<kill name="project-impact-indicators-fail">
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<message>Calculating project impact indicators failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<kill name="actionset-project-creation-fail">
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<message>ActionSet creation for projects failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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</workflow-app>
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