forked from D-Net/dnet-hadoop
Merge branch 'beta' into eoscifguidelines-from-mdstores
This commit is contained in:
commit
7c3390ac10
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@ -116,54 +116,45 @@ object SparkConvertRDDtoDataset {
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.map(s => mapper.readValue(s, classOf[Relation]))
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.filter(r => r.getDataInfo != null && !r.getDataInfo.getDeletedbyinference)
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.filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
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.filter(r => filterRelations(subRelTypeFilter, relClassFilter, r))
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//filter OpenCitations relations
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.filter(r =>
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r.getDataInfo.getProvenanceaction != null &&
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!"sysimport:crosswalk:opencitations".equals(r.getDataInfo.getProvenanceaction.getClassid)
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)
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.filter(r => filterRelations(r))
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//filter OpenCitations relations
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// .filter(r =>
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// r.getDataInfo.getProvenanceaction != null &&
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// !"sysimport:crosswalk:opencitations".equals(r.getDataInfo.getProvenanceaction.getClassid)
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// )
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spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")
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}
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private def filterRelations(subRelTypeFilter: String, relClassFilter: List[String], r: Relation): Boolean = {
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if (StringUtils.isNotBlank(subRelTypeFilter)) {
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subRelTypeFilter.equalsIgnoreCase(r.getSubRelType)
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} else {
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!relClassFilter.exists(k => k.equalsIgnoreCase(r.getRelClass))
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private def filterRelations(r: Relation): Boolean = {
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/** *
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* We filter relation generated by dedups
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* and all the relation that have one single collectedFrom OpenCitation
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*/
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val relClassFilter = List(
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ModelConstants.MERGES,
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ModelConstants.IS_MERGED_IN,
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ModelConstants.HAS_AMONG_TOP_N_SIMILAR_DOCS,
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ModelConstants.IS_AMONG_TOP_N_SIMILAR_DOCS
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)
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if (relClassFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
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false
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else {
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if (r.getCollectedfrom == null || r.getCollectedfrom.size() == 0)
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false
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else if (r.getCollectedfrom.size() > 1)
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true
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else if (
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r.getCollectedfrom.size() == 1 && r.getCollectedfrom.get(0) != null && "OpenCitations".equalsIgnoreCase(
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r.getCollectedfrom.get(0).getValue
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)
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)
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false
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else
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true
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}
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}
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/*
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//TODO: finalise implementation
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private def processResult[T<: Result](
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implicit ct: ClassTag[T],
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log: Logger,
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spark: SparkSession,
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sourcePath: String,
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entityPath: String,
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clazz: Class[T]
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): Unit = {
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val entityType = clazz.getSimpleName.toLowerCase
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log.info(s"Converting $entityType")
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val mapper = new ObjectMapper() with ScalaObjectMapper
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mapper.registerModule(DefaultScalaModule)
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val rdd = spark.sparkContext
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.textFile(s"$sourcePath/$entityType")
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.map(s => mapper.readValue(s, clazz))
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.filter(r => r.getDataInfo != null && !r.getDataInfo.getDeletedbyinference);
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implicit val encoder: Encoder[T] = Encoders.kryo(clazz)
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spark
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.createDataset(rdd)
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.as[T]
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.write
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.mode(SaveMode.Overwrite)
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.save(s"$entityPath/$entityType")
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}
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*/
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}
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@ -21,7 +21,7 @@
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</property>
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<property>
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<name>hive_jdbc_url</name>
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<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
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<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000/;UseNativeQuery=1;?spark.executor.memory=19166291558;spark.yarn.executor.memoryOverhead=3225;spark.driver.memory=11596411699;spark.yarn.driver.memoryOverhead=1228</value>
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</property>
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<property>
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<name>oozie.wf.workflow.notification.url</name>
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@ -42,7 +42,9 @@ SELECT p.id,
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CASE WHEN prr2.id IS NULL THEN 0 ELSE prr2.dp END AS delayedpubs,
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p.callidentifier,
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p.code,
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p.totalcost
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p.totalcost,
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p.fundedamount,
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p.currency
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FROM ${stats_db_name}.project_tmp p
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LEFT JOIN (SELECT pr.id, count(distinct pr.result) AS np
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FROM ${stats_db_name}.project_results pr
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@ -59,7 +59,7 @@ UNION ALL
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SELECT * FROM ${stats_db_name}.otherresearchproduct_sources;
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create table ${stats_db_name}.result_orcid STORED AS PARQUET as
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CREATE TABLE IF NOT EXISTS ${stats_db_name}.result_orcid STORED AS PARQUET as
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select distinct res.id, regexp_replace(res.orcid, 'http://orcid.org/' ,'') as orcid
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from (
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SELECT substr(res.id, 4) as id, auth_pid.value as orcid
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@ -69,7 +69,7 @@ from (
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LATERAL VIEW explode(auth.pid.qualifier.classid) apt as author_pid_type
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WHERE res.datainfo.deletedbyinference = FALSE and res.datainfo.invisible = FALSE and author_pid_type = 'orcid') as res;
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create table ${stats_db_name}.result_result stored as parquet as
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CREATE TABLE IF NOT EXISTS ${stats_db_name}.result_result stored as parquet as
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select substr(rel.source, 4) as source, substr(rel.target, 4) as target, relclass, subreltype
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from ${openaire_db_name}.relation rel
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join ${openaire_db_name}.result r1 on rel.source=r1.id
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@ -82,7 +82,7 @@ where reltype='resultResult'
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and r2.resulttype.classname != 'other'
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and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE;
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create table ${stats_db_name}.result_citations_oc stored as parquet as
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CREATE TABLE IF NOT EXISTS ${stats_db_name}.result_citations_oc stored as parquet as
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select substr(target, 4) as id, count(distinct substr(source, 4)) as citations
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from ${openaire_db_name}.relation rel
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join ${openaire_db_name}.result r1 on rel.source=r1.id
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@ -97,7 +97,7 @@ where relClass='Cites' and rel.datainfo.provenanceaction.classid = 'sysimport:cr
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and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE
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group by substr(target, 4);
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create table ${stats_db_name}.result_references_oc stored as parquet as
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CREATE TABLE IF NOT EXISTS ${stats_db_name}.result_references_oc stored as parquet as
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select substr(source, 4) as id, count(distinct substr(target, 4)) as references
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from ${openaire_db_name}.relation rel
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join ${openaire_db_name}.result r1 on rel.source=r1.id
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@ -48,7 +48,9 @@ CREATE TABLE ${stats_db_name}.project_tmp
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delayedpubs INT,
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callidentifier STRING,
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code STRING,
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totalcost FLOAT
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totalcost FLOAT,
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fundedamount FLOAT,
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currency STRING
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) CLUSTERED BY (id) INTO 100 buckets stored AS orc tblproperties ('transactional' = 'true');
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INSERT INTO ${stats_db_name}.project_tmp
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@ -72,7 +74,9 @@ SELECT substr(p.id, 4) AS id,
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0 AS delayedpubs,
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p.callidentifier.value AS callidentifier,
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p.code.value AS code,
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p.totalcost AS totalcost
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p.totalcost AS totalcost,
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p.fundedamount AS fundedamount,
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p.currency.value AS currency
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FROM ${openaire_db_name}.project p
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WHERE p.datainfo.deletedbyinference = false and p.datainfo.invisible=false;
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