updated the transformation Baseline workflow to include mdstore rollback/commit action

dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/sx/bio/pubmed/oozie_app/workflow.xml

@@ -1,4 +1,4 @@
-    <workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
+<workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
     <parameters>
         <property>
             <name>baselineWorkingPath</name>
@@ -9,8 +9,12 @@
             <description>The IS lookUp service endopoint</description>
         </property>
         <property>
-            <name>targetPath</name>
-            <description>The target path</description>
+            <name>mdStoreOutputId</name>
+            <description>the identifier of the cleaned MDStore</description>
+        </property>
+        <property>
+            <name>mdStoreManagerURI</name>
+            <description>the path of the cleaned mdstore</description>
         </property>
         <property>
             <name>skipUpdate</name>
@@ -19,12 +23,31 @@
         </property>
     </parameters>
 
-    <start to="ConvertDataset"/>
+    <start to="StartTransaction"/>
+
 
     <kill name="Kill">
         <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
     </kill>
 
+    <action name="StartTransaction">
+        <java>
+            <configuration>
+                <property>
+                    <name>oozie.launcher.mapreduce.user.classpath.first</name>
+                    <value>true</value>
+                </property>
+            </configuration>
+            <main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
+            <arg>--action</arg><arg>NEW_VERSION</arg>
+            <arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
+            <arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
+            <capture-output/>
+        </java>
+        <ok to="ConvertDataset"/>
+        <error to="RollBack"/>
+    </action>
+
     <action name="ConvertDataset">
         <spark xmlns="uri:oozie:spark-action:0.2">
             <master>yarn</master>
@@ -43,16 +66,52 @@
                 --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
             </spark-opts>
             <arg>--workingPath</arg><arg>${baselineWorkingPath}</arg>
-            <arg>--targetPath</arg><arg>${targetPath}</arg>
+            <arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
             <arg>--master</arg><arg>yarn</arg>
             <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
             <arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
             <arg>--skipUpdate</arg><arg>${skipUpdate}</arg>
         </spark>
+        <ok to="CommitVersion"/>
+        <error to="RollBack"/>
+    </action>
+
+    <action name="CommitVersion">
+        <java>
+            <configuration>
+                <property>
+                    <name>oozie.launcher.mapreduce.user.classpath.first</name>
+                    <value>true</value>
+                </property>
+            </configuration>
+            <main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
+            <arg>--action</arg><arg>COMMIT</arg>
+            <arg>--namenode</arg><arg>${nameNode}</arg>
+            <arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
+            <arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
+        </java>
         <ok to="End"/>
         <error to="Kill"/>
     </action>
 
+    <action name="RollBack">
+        <java>
+            <configuration>
+                <property>
+                    <name>oozie.launcher.mapreduce.user.classpath.first</name>
+                    <value>true</value>
+                </property>
+            </configuration>
+            <main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
+            <arg>--action</arg><arg>ROLLBACK</arg>
+            <arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
+            <arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
+        </java>
+        <ok to="Kill"/>
+        <error to="Kill"/>
+    </action>
+
+
     <end name="End"/>
 
 </workflow-app>

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala

@@ -2,9 +2,12 @@ package eu.dnetlib.dhp.sx.bio.ebi
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.collection.CollectionUtils
+import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
 import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
+import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
 import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
 import eu.dnetlib.dhp.sx.bio.pubmed._
+import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
 import eu.dnetlib.dhp.utils.ISLookupClientFactory
 import org.apache.commons.io.IOUtils
 import org.apache.hadoop.conf.Configuration
@@ -164,11 +167,15 @@ object SparkCreateBaselineDataFrame {
     val workingPath = parser.get("workingPath")
     log.info("workingPath: {}", workingPath)
 
-    val targetPath = parser.get("targetPath")
-    log.info("targetPath: {}", targetPath)
+    val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
+    log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
+
+    val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
+    val outputBasePath = cleanedMdStoreVersion.getHdfsPath
+    log.info("outputBasePath: {}", outputBasePath)
 
     val hdfsServerUri = parser.get("hdfsServerUri")
-    log.info("hdfsServerUri: {}", targetPath)
+    log.info("hdfsServerUri: {}", hdfsServerUri)
 
     val skipUpdate = parser.get("skipUpdate")
     log.info("skipUpdate: {}", skipUpdate)
@@ -216,8 +223,11 @@ object SparkCreateBaselineDataFrame {
         .map(a => PubMedToOaf.convert(a, vocabularies))
         .as[Oaf]
         .filter(p => p != null),
-      targetPath
+      s"$outputBasePath/$MDSTORE_DATA_PATH"
     )
 
+    val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
+    val mdStoreSize = df.count
+    writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
   }
 }