[AffiliationFromPublisher]refactoring
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@ -89,49 +89,51 @@ public class PrepareAffiliationRelations implements Serializable {
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isSparkSessionManaged,
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spark -> {
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Constants.removeOutputDir(spark, outputPath);
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List<KeyValue> collectedFromCrossref = OafMapperUtils
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.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref");
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JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
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spark, crossrefInputPath, collectedFromCrossref);
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List<KeyValue> collectedFromPubmed = OafMapperUtils
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.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
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JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
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spark, pubmedInputPath, collectedFromPubmed);
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List<KeyValue> collectedFromOpenAPC = OafMapperUtils
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.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
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JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
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spark, openapcInputPath, collectedFromOpenAPC);
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List<KeyValue> collectedFromDatacite = OafMapperUtils
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.listKeyValues(ModelConstants.DATACITE_ID, "Datacite");
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JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
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spark, dataciteInputPath, collectedFromDatacite);
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List<KeyValue> collectedFromWebCrawl = OafMapperUtils
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.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
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JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations(
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spark, webcrawlInputPath, collectedFromWebCrawl);
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List<KeyValue> collectedfromPublisher = OafMapperUtils
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.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
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JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisher(
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spark, publisherlInputPath, collectedfromPublisher);
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crossrefRelations
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.union(pubmedRelations)
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.union(openAPCRelations)
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.union(dataciteRelations)
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.union(webCrawlRelations)
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.union(publisherRelations)
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.saveAsHadoopFile(
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outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
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createActionSet(spark, crossrefInputPath, pubmedInputPath, openapcInputPath, dataciteInputPath, webcrawlInputPath, publisherlInputPath, outputPath);
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});
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}
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private static void createActionSet(SparkSession spark, String crossrefInputPath, String pubmedInputPath, String openapcInputPath, String dataciteInputPath, String webcrawlInputPath, String publisherlInputPath, String outputPath) {
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List<KeyValue> collectedFromCrossref = OafMapperUtils
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.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref");
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JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
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spark, crossrefInputPath, collectedFromCrossref);
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List<KeyValue> collectedFromPubmed = OafMapperUtils
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.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
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JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
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spark, pubmedInputPath, collectedFromPubmed);
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List<KeyValue> collectedFromOpenAPC = OafMapperUtils
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.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
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JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
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spark, openapcInputPath, collectedFromOpenAPC);
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List<KeyValue> collectedFromDatacite = OafMapperUtils
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.listKeyValues(ModelConstants.DATACITE_ID, "Datacite");
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JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
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spark, dataciteInputPath, collectedFromDatacite);
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List<KeyValue> collectedFromWebCrawl = OafMapperUtils
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.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
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JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations(
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spark, webcrawlInputPath, collectedFromWebCrawl);
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List<KeyValue> collectedfromPublisher = OafMapperUtils
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.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
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JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisher(
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spark, publisherlInputPath, collectedfromPublisher);
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crossrefRelations
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.union(pubmedRelations)
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.union(openAPCRelations)
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.union(dataciteRelations)
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.union(webCrawlRelations)
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.union(publisherRelations)
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.saveAsHadoopFile(
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outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
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}
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private static JavaPairRDD<Text,Text> prepareAffiliationRelationFromPublisher(SparkSession spark, String inputPath,
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List<KeyValue> collectedfrom){
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Dataset<Row> df = spark
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