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Merge pull request 'Fix import of affiliations relations from Crossref' (#335) from 8876_fix_crossref_affiliation_relations_import into beta

Reviewed-on: D-Net/dnet-hadoop#335
This commit is contained in:
Claudio Atzori 2023-09-04 15:19:58 +02:00
commit 7d6bd4f20b
4 changed files with 15 additions and 15 deletions

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@ -80,16 +80,15 @@ public class PrepareAffiliationRelations implements Serializable {
// load and parse affiliation relations from HDFS // load and parse affiliation relations from HDFS
Dataset<Row> df = spark Dataset<Row> df = spark
.read() .read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:ARRAY<STRING>,`Confidence`:DOUBLE>>") .schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath); .json(inputPath);
// unroll nested arrays // unroll nested arrays
df = df df = df
.withColumn("matching", functions.explode(new Column("Matchings"))) .withColumn("matching", functions.explode(new Column("Matchings")))
.withColumn("rorid", functions.explode(new Column("matching.RORid")))
.select( .select(
new Column("DOI").as("doi"), new Column("DOI").as("doi"),
new Column("rorid"), new Column("matching.RORid").as("rorid"),
new Column("matching.Confidence").as("confidence")); new Column("matching.Confidence").as("confidence"));
// prepare action sets for affiliation relations // prepare action sets for affiliation relations

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@ -31,5 +31,5 @@ spark2SqlQueryExecutionListeners=com.cloudera.spark.lineage.NavigatorQueryListen
# The following is needed as a property of a workflow # The following is needed as a property of a workflow
oozie.wf.application.path=${oozieTopWfApplicationPath} oozie.wf.application.path=${oozieTopWfApplicationPath}
inputPath=/user/schatz/affiliations/data-v3.1.json inputPath=/data/bip-affiliations/data.json
outputPath=/tmp/crossref-affiliations-output-v3.1 outputPath=/tmp/crossref-affiliations-output-v5

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@ -101,7 +101,7 @@ public class PrepareAffiliationRelationsTest {
// ); // );
// } // }
// count the number of relations // count the number of relations
assertEquals(16, tmp.count()); assertEquals(20, tmp.count());
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class)); Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
dataset.createOrReplaceTempView("result"); dataset.createOrReplaceTempView("result");
@ -112,7 +112,7 @@ public class PrepareAffiliationRelationsTest {
// verify that we have equal number of bi-directional relations // verify that we have equal number of bi-directional relations
Assertions Assertions
.assertEquals( .assertEquals(
8, execVerification 10, execVerification
.filter( .filter(
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'") "relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
.collectAsList() .collectAsList()
@ -120,14 +120,14 @@ public class PrepareAffiliationRelationsTest {
Assertions Assertions
.assertEquals( .assertEquals(
8, execVerification 10, execVerification
.filter( .filter(
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'") "relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
.collectAsList() .collectAsList()
.size()); .size());
// check confidence value of a specific relation // check confidence value of a specific relation
String sourceDOI = "10.1105/tpc.8.3.343"; String sourceDOI = "10.1061/(asce)0733-9399(2002)128:7(759)";
final String sourceOpenaireId = ID_PREFIX final String sourceOpenaireId = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI)); + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI));

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@ -1,6 +1,7 @@
{"DOI":"10.1061\/(asce)0733-9399(2002)128:7(759)","Matchings":[{"RORid":["https:\/\/ror.org\/01teme464"],"Confidence":0.73},{"RORid":["https:\/\/ror.org\/03yxnpp24"],"Confidence":0.7071067812}]} {"DOI":"10.1061\/(asce)0733-9399(2002)128:7(759)","Matchings":[{"RORid":"https:\/\/ror.org\/03yxnpp24","Confidence":0.7071067812},{"RORid":"https:\/\/ror.org\/01teme464","Confidence":0.89}]}
{"DOI":"10.1105\/tpc.8.3.343","Matchings":[{"RORid":["https:\/\/ror.org\/02k40bc56"],"Confidence":0.7071067812}]} {"DOI":"10.1105\/tpc.8.3.343","Matchings":[{"RORid":"https:\/\/ror.org\/02k40bc56","Confidence":0.7071067812}]}
{"DOI":"10.1161\/01.cir.0000013305.01850.37","Matchings":[{"RORid":["https:\/\/ror.org\/00qjgza05"],"Confidence":1}]} {"DOI":"10.1161\/01.cir.0000013305.01850.37","Matchings":[{"RORid":"https:\/\/ror.org\/00qjgza05","Confidence":1}]}
{"DOI":"10.1142\/s021821650200186x","Matchings":[{"RORid":["https:\/\/ror.org\/05apxxy63"],"Confidence":1},{"RORid":["https:\/\/ror.org\/035xkbk20"],"Confidence":1}]} {"DOI":"10.1142\/s021821650200186x","Matchings":[{"RORid":"https:\/\/ror.org\/035xkbk20","Confidence":1},{"RORid":"https:\/\/ror.org\/05apxxy63","Confidence":1}]}
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(575)","Matchings":[{"RORid":["https:\/\/ror.org\/04j198w64"],"Confidence":0.58}]} {"DOI":"10.1061\/(asce)0733-9372(2002)128:7(575)","Matchings":[{"RORid":"https:\/\/ror.org\/04j198w64","Confidence":0.82}]}
{"DOI":"10.1161\/hy0202.103001","Matchings":[{"RORid":["https:\/\/ror.org\/057xtrt18"],"Confidence":0.7071067812}]} {"DOI":"10.1061\/(asce)0733-9372(2002)128:7(588)","Matchings":[{"RORid":"https:\/\/ror.org\/03m8km719","Confidence":0.8660254038},{"RORid":"https:\/\/ror.org\/02aze4h65","Confidence":0.87}]}
{"DOI":"10.1161\/hy0202.103001","Matchings":[{"RORid":"https:\/\/ror.org\/057xtrt18","Confidence":0.7071067812}]}