mergin with branch beta

This commit is contained in:
Miriam Baglioni 2024-01-23 11:36:47 +01:00
commit 6e58d79623
18 changed files with 655 additions and 150 deletions

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@ -0,0 +1,39 @@
package eu.dnetlib.dhp.common.api.context;
public class CategorySummary {
private String id;
private String label;
private boolean hasConcept;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public boolean isHasConcept() {
return hasConcept;
}
public CategorySummary setId(final String id) {
this.id = id;
return this;
}
public CategorySummary setLabel(final String label) {
this.label = label;
return this;
}
public CategorySummary setHasConcept(final boolean hasConcept) {
this.hasConcept = hasConcept;
return this;
}
}

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@ -0,0 +1,7 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class CategorySummaryList extends ArrayList<CategorySummary> {
}

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@ -0,0 +1,52 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.List;
public class ConceptSummary {
private String id;
private String label;
public boolean hasSubConcept;
private List<ConceptSummary> concepts;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public List<ConceptSummary> getConcepts() {
return concepts;
}
public ConceptSummary setId(final String id) {
this.id = id;
return this;
}
public ConceptSummary setLabel(final String label) {
this.label = label;
return this;
}
public boolean isHasSubConcept() {
return hasSubConcept;
}
public ConceptSummary setHasSubConcept(final boolean hasSubConcept) {
this.hasSubConcept = hasSubConcept;
return this;
}
public ConceptSummary setConcept(final List<ConceptSummary> concepts) {
this.concepts = concepts;
return this;
}
}

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@ -0,0 +1,7 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class ConceptSummaryList extends ArrayList<ConceptSummary> {
}

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@ -0,0 +1,50 @@
package eu.dnetlib.dhp.common.api.context;
public class ContextSummary {
private String id;
private String label;
private String type;
private String status;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public String getType() {
return type;
}
public String getStatus() {
return status;
}
public ContextSummary setId(final String id) {
this.id = id;
return this;
}
public ContextSummary setLabel(final String label) {
this.label = label;
return this;
}
public ContextSummary setType(final String type) {
this.type = type;
return this;
}
public ContextSummary setStatus(final String status) {
this.status = status;
return this;
}
}

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@ -0,0 +1,7 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class ContextSummaryList extends ArrayList<ContextSummary> {
}

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@ -0,0 +1,77 @@
package eu.dnetlib.dhp.oozie;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import java.util.Optional;
import org.apache.commons.lang3.time.DurationFormatUtils;
import org.apache.commons.text.StringSubstitutor;
import org.apache.spark.SparkConf;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.common.io.Resources;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
public class RunSQLSparkJob {
private static final Logger log = LoggerFactory.getLogger(RunSQLSparkJob.class);
private final ArgumentApplicationParser parser;
public RunSQLSparkJob(ArgumentApplicationParser parser) {
this.parser = parser;
}
public static void main(String[] args) throws Exception {
Map<String, String> params = new HashMap<>();
for (int i = 0; i < args.length - 1; i++) {
if (args[i].startsWith("--")) {
params.put(args[i].substring(2), args[++i]);
}
}
/*
* String jsonConfiguration = IOUtils .toString( Objects .requireNonNull( RunSQLSparkJob.class
* .getResourceAsStream( "/eu/dnetlib/dhp/oozie/run_sql_parameters.json"))); final ArgumentApplicationParser
* parser = new ArgumentApplicationParser(jsonConfiguration); parser.parseArgument(args);
*/
Boolean isSparkSessionManaged = Optional
.ofNullable(params.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
URL url = com.google.common.io.Resources.getResource(params.get("sql"));
String raw_sql = Resources.toString(url, StandardCharsets.UTF_8);
String sql = StringSubstitutor.replace(raw_sql, params);
log.info("sql: {}", sql);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", params.get("hiveMetastoreUris"));
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
for (String statement : sql.split(";\\s*/\\*\\s*EOS\\s*\\*/\\s*")) {
log.info("executing: {}", statement);
long startTime = System.currentTimeMillis();
spark.sql(statement).show();
log
.info(
"executed in {}",
DurationFormatUtils.formatDuration(System.currentTimeMillis() - startTime, "HH:mm:ss.S"));
}
});
}
}

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@ -0,0 +1,20 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "hmu",
"paramLongName": "hiveMetastoreUris",
"paramDescription": "the hive metastore uris",
"paramRequired": true
},
{
"paramName": "sql",
"paramLongName": "sql",
"paramDescription": "sql script to execute",
"paramRequired": true
}
]

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@ -1,6 +1,16 @@
package eu.dnetlib.dhp.oa.dedup;
import java.util.*;
import java.util.stream.Stream;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import eu.dnetlib.dhp.oa.dedup.model.Identifier;
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
import eu.dnetlib.dhp.schema.common.ModelSupport;
@ -8,180 +18,176 @@ import eu.dnetlib.dhp.schema.oaf.Author;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import scala.Tuple2;
import scala.Tuple3;
import scala.collection.JavaConversions;
import java.util.*;
import java.util.stream.Stream;
public class DedupRecordFactory {
public static final class DedupRecordReduceState {
public final String dedupId;
public static final class DedupRecordReduceState {
public final String dedupId;
public final ArrayList<String> aliases = new ArrayList<>();
public final ArrayList<String> aliases = new ArrayList<>();
public final HashSet<String> acceptanceDate = new HashSet<>();
public final HashSet<String> acceptanceDate = new HashSet<>();
public OafEntity entity;
public OafEntity entity;
public DedupRecordReduceState(String dedupId, String id, OafEntity entity) {
this.dedupId = dedupId;
this.entity = entity;
if (entity == null) {
aliases.add(id);
} else {
if (Result.class.isAssignableFrom(entity.getClass())) {
Result result = (Result) entity;
if (result.getDateofacceptance() != null && StringUtils.isNotBlank(result.getDateofacceptance().getValue())) {
acceptanceDate.add(result.getDateofacceptance().getValue());
}
}
}
}
public DedupRecordReduceState(String dedupId, String id, OafEntity entity) {
this.dedupId = dedupId;
this.entity = entity;
if (entity == null) {
aliases.add(id);
} else {
if (Result.class.isAssignableFrom(entity.getClass())) {
Result result = (Result) entity;
if (result.getDateofacceptance() != null
&& StringUtils.isNotBlank(result.getDateofacceptance().getValue())) {
acceptanceDate.add(result.getDateofacceptance().getValue());
}
}
}
}
public String getDedupId() {
return dedupId;
}
}
private static final int MAX_ACCEPTANCE_DATE = 20;
public String getDedupId() {
return dedupId;
}
}
private DedupRecordFactory() {
}
private static final int MAX_ACCEPTANCE_DATE = 20;
public static Dataset<OafEntity> createDedupRecord(
final SparkSession spark,
final DataInfo dataInfo,
final String mergeRelsInputPath,
final String entitiesInputPath,
final Class<OafEntity> clazz) {
private DedupRecordFactory() {
}
final long ts = System.currentTimeMillis();
final Encoder<OafEntity> beanEncoder = Encoders.bean(clazz);
final Encoder<OafEntity> kryoEncoder = Encoders.kryo(clazz);
public static Dataset<OafEntity> createDedupRecord(
final SparkSession spark,
final DataInfo dataInfo,
final String mergeRelsInputPath,
final String entitiesInputPath,
final Class<OafEntity> clazz) {
// <id, json_entity>
Dataset<Row> entities = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(entitiesInputPath)
.as(beanEncoder)
.map(
(MapFunction<OafEntity, Tuple2<String, OafEntity>>) entity -> {
return new Tuple2<>(entity.getId(), entity);
},
Encoders.tuple(Encoders.STRING(), kryoEncoder))
.selectExpr("_1 AS id", "_2 AS kryoObject");
final long ts = System.currentTimeMillis();
final Encoder<OafEntity> beanEncoder = Encoders.bean(clazz);
final Encoder<OafEntity> kryoEncoder = Encoders.kryo(clazz);
// <source, target>: source is the dedup_id, target is the id of the mergedIn
Dataset<Row> mergeRels = spark
.read()
.load(mergeRelsInputPath)
.where("relClass == 'merges'")
.selectExpr("source as dedupId", "target as id");
// <id, json_entity>
Dataset<Row> entities = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(entitiesInputPath)
.as(beanEncoder)
.map(
(MapFunction<OafEntity, Tuple2<String, OafEntity>>) entity -> {
return new Tuple2<>(entity.getId(), entity);
},
Encoders.tuple(Encoders.STRING(), kryoEncoder))
.selectExpr("_1 AS id", "_2 AS kryoObject");
return mergeRels
.join(entities, JavaConversions.asScalaBuffer(Collections.singletonList("id")), "left")
.select("dedupId", "id", "kryoObject")
.as(Encoders.tuple(Encoders.STRING(), Encoders.STRING(), kryoEncoder))
.map((MapFunction<Tuple3<String, String, OafEntity>, DedupRecordReduceState>) t -> new DedupRecordReduceState(t._1(), t._2(), t._3()), Encoders.kryo(DedupRecordReduceState.class))
.groupByKey((MapFunction<DedupRecordReduceState, String>) DedupRecordReduceState::getDedupId, Encoders.STRING())
.reduceGroups(
(ReduceFunction<DedupRecordReduceState>) (t1, t2) -> {
if (t1.entity == null) {
t2.aliases.addAll(t1.aliases);
return t2;
}
if (t1.acceptanceDate.size() < MAX_ACCEPTANCE_DATE) {
t1.acceptanceDate.addAll(t2.acceptanceDate);
}
t1.aliases.addAll(t2.aliases);
t1.entity = reduceEntity(t1.entity, t2.entity);
// <source, target>: source is the dedup_id, target is the id of the mergedIn
Dataset<Row> mergeRels = spark
.read()
.load(mergeRelsInputPath)
.where("relClass == 'merges'")
.selectExpr("source as dedupId", "target as id");
return t1;
}
)
.flatMap
((FlatMapFunction<Tuple2<String, DedupRecordReduceState>, OafEntity>) t -> {
String dedupId = t._1();
DedupRecordReduceState agg = t._2();
return mergeRels
.join(entities, JavaConversions.asScalaBuffer(Collections.singletonList("id")), "left")
.select("dedupId", "id", "kryoObject")
.as(Encoders.tuple(Encoders.STRING(), Encoders.STRING(), kryoEncoder))
.map(
(MapFunction<Tuple3<String, String, OafEntity>, DedupRecordReduceState>) t -> new DedupRecordReduceState(
t._1(), t._2(), t._3()),
Encoders.kryo(DedupRecordReduceState.class))
.groupByKey(
(MapFunction<DedupRecordReduceState, String>) DedupRecordReduceState::getDedupId, Encoders.STRING())
.reduceGroups(
(ReduceFunction<DedupRecordReduceState>) (t1, t2) -> {
if (t1.entity == null) {
t2.aliases.addAll(t1.aliases);
return t2;
}
if (t1.acceptanceDate.size() < MAX_ACCEPTANCE_DATE) {
t1.acceptanceDate.addAll(t2.acceptanceDate);
}
t1.aliases.addAll(t2.aliases);
t1.entity = reduceEntity(t1.entity, t2.entity);
if (agg.acceptanceDate.size() >= MAX_ACCEPTANCE_DATE) {
return Collections.emptyIterator();
}
return t1;
})
.flatMap((FlatMapFunction<Tuple2<String, DedupRecordReduceState>, OafEntity>) t -> {
String dedupId = t._1();
DedupRecordReduceState agg = t._2();
return Stream.concat(Stream.of(agg.getDedupId()), agg.aliases.stream())
.map(id -> {
try {
OafEntity res = (OafEntity) BeanUtils.cloneBean(agg.entity);
res.setId(id);
res.setDataInfo(dataInfo);
res.setLastupdatetimestamp(ts);
return res;
} catch (Exception e) {
throw new RuntimeException(e);
}
}).iterator();
}, beanEncoder);
}
if (agg.acceptanceDate.size() >= MAX_ACCEPTANCE_DATE) {
return Collections.emptyIterator();
}
private static OafEntity reduceEntity(OafEntity entity, OafEntity duplicate) {
return Stream
.concat(Stream.of(agg.getDedupId()), agg.aliases.stream())
.map(id -> {
try {
OafEntity res = (OafEntity) BeanUtils.cloneBean(agg.entity);
res.setId(id);
res.setDataInfo(dataInfo);
res.setLastupdatetimestamp(ts);
return res;
} catch (Exception e) {
throw new RuntimeException(e);
}
})
.iterator();
}, beanEncoder);
}
private static OafEntity reduceEntity(OafEntity entity, OafEntity duplicate) {
if (duplicate == null) {
return entity;
}
int compare = new IdentifierComparator<>()
.compare(Identifier.newInstance(entity), Identifier.newInstance(duplicate));
int compare = new IdentifierComparator<>()
.compare(Identifier.newInstance(entity), Identifier.newInstance(duplicate));
if (compare > 0) {
if (compare > 0) {
OafEntity swap = duplicate;
duplicate = entity;
entity = swap;
}
duplicate = entity;
entity = swap;
}
entity.mergeFrom(duplicate);
entity.mergeFrom(duplicate);
if (ModelSupport.isSubClass(duplicate, Result.class)) {
Result re = (Result) entity;
Result rd = (Result) duplicate;
if (ModelSupport.isSubClass(duplicate, Result.class)) {
Result re = (Result) entity;
Result rd = (Result) duplicate;
List<List<Author>> authors = new ArrayList<>();
if (re.getAuthor() != null) {
authors.add(re.getAuthor());
}
if (rd.getAuthor() != null) {
authors.add(rd.getAuthor());
}
List<List<Author>> authors = new ArrayList<>();
if (re.getAuthor() != null) {
authors.add(re.getAuthor());
}
if (rd.getAuthor() != null) {
authors.add(rd.getAuthor());
}
re.setAuthor(AuthorMerger.merge(authors));
}
re.setAuthor(AuthorMerger.merge(authors));
}
return entity;
}
return entity;
}
public static <T extends OafEntity> T entityMerger(
String id, Iterator<Tuple2<String, T>> entities, long ts, DataInfo dataInfo, Class<T> clazz) {
T base = entities.next()._2();
public static <T extends OafEntity> T entityMerger(
String id, Iterator<Tuple2<String, T>> entities, long ts, DataInfo dataInfo, Class<T> clazz) {
T base = entities.next()._2();
while (entities.hasNext()) {
T duplicate = entities.next()._2();
if (duplicate != null)
base = (T) reduceEntity(base, duplicate);
}
while (entities.hasNext()) {
T duplicate = entities.next()._2();
if (duplicate != null)
base = (T) reduceEntity(base, duplicate);
}
base.setId(id);
base.setDataInfo(dataInfo);
base.setLastupdatetimestamp(ts);
base.setId(id);
base.setDataInfo(dataInfo);
base.setLastupdatetimestamp(ts);
return base;
}
return base;
}
}

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@ -242,13 +242,14 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
// this was a pivot in a previous graph but it has been merged into a new group with different
// pivot
if (!r.isNullAt(r.fieldIndex("lastUsage")) && !pivot.equals(id) && !dedupId.equals(pivotDedupId)) {
if (!r.isNullAt(r.fieldIndex("lastUsage")) && !pivot.equals(id)
&& !dedupId.equals(pivotDedupId)) {
// materialize the previous dedup record as a merge relation with the new one
res.add(new Tuple3<>(dedupId, pivotDedupId, null));
}
// add merge relations
if (cut <=0 || r.<Integer>getAs("position") <= cut) {
if (cut <= 0 || r.<Integer> getAs("position") <= cut) {
res.add(new Tuple3<>(id, pivotDedupId, pivot));
}

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@ -0,0 +1,26 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>sparkSqlWarehouseDir</name>
<value>/user/hive/warehouse</value>
</property>
</configuration>

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@ -0,0 +1,62 @@
CREATE TABLE `${pivot_history_db}`.`dataset_new` STORED AS PARQUET AS
WITH pivots (
SELECT property.value AS id, '${new_graph_date}' AS usedIn FROM `${new_graph_db}`.`relation`
LEFT SEMI JOIN `${new_graph_db}`.`dataset` ON relation.source = dataset.id
LATERAL VIEW EXPLODE(properties) AS property WHERE relClass = 'isMergedIn' AND property.key = 'pivot'
UNION
SELECT id, usedIn FROM `${pivot_history_db}`.`dataset` LATERAL VIEW EXPLODE(usages) AS usedIn
)
SELECT id, min(usedIn) as firstUsage, max(usedIn) as lastUsage, collect_set(usedIn) as usages
FROM pivots
GROUP BY id; /*EOS*/
CREATE TABLE `${pivot_history_db}`.`publication_new` STORED AS PARQUET AS
WITH pivots (
SELECT property.value AS id, '${new_graph_date}' AS usedIn FROM `${new_graph_db}`.`relation`
LEFT SEMI JOIN `${new_graph_db}`.`publication` ON relation.source = publication.id
LATERAL VIEW EXPLODE(properties) AS property WHERE relClass = 'isMergedIn' AND property.key = 'pivot'
UNION
SELECT id, usedIn FROM `${pivot_history_db}`.`publication` LATERAL VIEW EXPLODE(usages) AS usedIn
)
SELECT id, min(usedIn) as firstUsage, max(usedIn) as lastUsage, collect_set(usedIn) as usages
FROM pivots
GROUP BY id; /*EOS*/
CREATE TABLE `${pivot_history_db}`.`software_new` STORED AS PARQUET AS
WITH pivots (
SELECT property.value AS id, '${new_graph_date}' AS usedIn FROM `${new_graph_db}`.`relation`
LEFT SEMI JOIN `${new_graph_db}`.`software` ON relation.source = software.id
LATERAL VIEW EXPLODE(properties) AS property WHERE relClass = 'isMergedIn' AND property.key = 'pivot'
UNION
SELECT id, usedIn FROM `${pivot_history_db}`.`software` LATERAL VIEW EXPLODE(usages) AS usedIn
)
SELECT id, min(usedIn) as firstUsage, max(usedIn) as lastUsage, collect_set(usedIn) as usages
FROM pivots
GROUP BY id; /*EOS*/
CREATE TABLE `${pivot_history_db}`.`otherresearchproduct_new` STORED AS PARQUET AS
WITH pivots (
SELECT property.value AS id, '${new_graph_date}' AS usedIn FROM `${new_graph_db}`.`relation`
LEFT SEMI JOIN `${new_graph_db}`.`otherresearchproduct` ON relation.source = otherresearchproduct.id
LATERAL VIEW EXPLODE(properties) AS property WHERE relClass = 'isMergedIn' AND property.key = 'pivot'
UNION
SELECT id, usedIn FROM `${pivot_history_db}`.`otherresearchproduct` LATERAL VIEW EXPLODE(usages) AS usedIn
)
SELECT id, min(usedIn) as firstUsage, max(usedIn) as lastUsage, collect_set(usedIn) as usages
FROM pivots
GROUP BY id; /*EOS*/
DROP TABLE IF EXISTS `${pivot_history_db}`.`dataset_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`dataset` RENAME TO `${pivot_history_db}`.`dataset_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`dataset_new` RENAME TO `${pivot_history_db}`.`dataset`; /*EOS*/
DROP TABLE IF EXISTS `${pivot_history_db}`.`publication_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`publication` RENAME TO `${pivot_history_db}`.`publication_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`publication_new` RENAME TO `${pivot_history_db}`.`publication`; /*EOS*/
DROP TABLE IF EXISTS `${pivot_history_db}`.`software_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`software` RENAME TO `${pivot_history_db}`.`software_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`software_new` RENAME TO `${pivot_history_db}`.`software`; /*EOS*/
DROP TABLE IF EXISTS `${pivot_history_db}`.`otherresearchproduct_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`otherresearchproduct` RENAME TO `${pivot_history_db}`.`otherresearchproduct_old`; /*EOS*/
ALTER TABLE `${pivot_history_db}`.`otherresearchproduct_new` RENAME TO `${pivot_history_db}`.`otherresearchproduct`; /*EOS*/

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@ -0,0 +1,95 @@
<workflow-app name="Update pivot history" xmlns="uri:oozie:workflow:0.5">
<parameters>
<!-- properties used in SQL -->
<property>
<name>pivot_history_db</name>
<!-- <value>openaire_beta_pivots_test</value> -->
<description>Pivot history DB on hive</description>
</property>
<property>
<name>new_graph_db</name>
<!--<value>openaire_beta_20231208</value> -->
<description>New graph DB on hive</description>
</property>
<property>
<name>new_graph_date</name>
<!-- <value>20231208</value> -->
<description>Creation date of new graph db</description>
</property>
<!-- RunSQLSparkJob properties -->
<property>
<name>hiveMetastoreUris</name>
<description>hive server metastore URIs</description>
</property>
<property>
<name>sparkSqlWarehouseDir</name>
</property>
<!-- General oozie workflow properties -->
<property>
<name>sparkClusterOpts</name>
<value>--conf spark.network.timeout=600 --conf spark.extraListeners= --conf spark.sql.queryExecutionListeners= --conf spark.yarn.historyServer.address=http://iis-cdh5-test-m3.ocean.icm.edu.pl:18088 --conf spark.eventLog.dir=hdfs://nameservice1/user/spark/applicationHistory</value>
<description>spark cluster-wide options</description>
</property>
<property>
<name>sparkResourceOpts</name>
<value>--executor-memory=3G --conf spark.executor.memoryOverhead=3G --executor-cores=6 --driver-memory=8G --driver-cores=4</value>
<description>spark resource options</description>
</property>
<property>
<name>sparkApplicationOpts</name>
<value>--conf spark.sql.shuffle.partitions=3840</value>
<description>spark resource options</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="UpgradePivotHistory"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="UpgradePivotHistory">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Upgrade Pivot History</name>
<class>eu.dnetlib.dhp.oozie.RunSQLSparkJob</class>
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
<spark-opts>
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
${sparkClusterOpts}
${sparkResourceOpts}
${sparkApplicationOpts}
</spark-opts>
<arg>--hiveMetastoreUris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--sql</arg><arg>eu/dnetlib/dhp/oa/dedup/pivothistory/oozie_app/sql.sql</arg>
<arg>--pivot_history_db</arg><arg>${pivot_history_db}</arg>
<arg>--new_graph_db</arg><arg>${new_graph_db}</arg>
<arg>--new_graph_date</arg><arg>${new_graph_date}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -43,6 +43,17 @@
<arg>--graphPath</arg><arg>${graphPath}</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="reset_outputpath"/>
<error to="Kill"/>
</action>
<action name="reset_outputpath">
<fs>
<delete path="${graphPath}/datasource"/>
<delete path="${graphPath}/organization"/>
<delete path="${graphPath}/project"/>
<delete path="${graphPath}/relation"/>
</fs>
<ok to="copy_datasource"/>
<error to="Kill"/>
</action>

View File

@ -62,8 +62,8 @@ public class XmlConverterJob {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String isLookupUrl = parser.get("isLookupUrl");
log.info("isLookupUrl: {}", isLookupUrl);
final String contextApiBaseUrl = parser.get("contextApiBaseUrl");
log.info("contextApiBaseUrl: {}", contextApiBaseUrl);
final SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
@ -71,7 +71,7 @@ public class XmlConverterJob {
runWithSparkSession(conf, isSparkSessionManaged, spark -> {
removeOutputDir(spark, outputPath);
convertToXml(spark, inputPath, outputPath, ContextMapper.fromIS(isLookupUrl));
convertToXml(spark, inputPath, outputPath, ContextMapper.fromAPI(contextApiBaseUrl));
});
}

View File

@ -1,18 +1,22 @@
package eu.dnetlib.dhp.oa.provision.utils;
import java.io.Serializable;
import java.io.StringReader;
import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.HashMap;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Node;
import org.dom4j.io.SAXReader;
import org.jetbrains.annotations.NotNull;
import org.xml.sax.SAXException;
import com.google.common.base.Joiner;
import eu.dnetlib.dhp.common.api.context.*;
import eu.dnetlib.dhp.common.rest.DNetRestClient;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
@ -23,6 +27,42 @@ public class ContextMapper extends HashMap<String, ContextDef> implements Serial
private static final String XQUERY = "for $x in //RESOURCE_PROFILE[.//RESOURCE_TYPE/@value='ContextDSResourceType']//*[name()='context' or name()='category' or name()='concept'] return <entry id=\"{$x/@id}\" label=\"{$x/@label|$x/@name}\" name=\"{$x/name()}\" type=\"{$x/@type}\"/>";
public static ContextMapper fromAPI(final String baseURL) throws Exception {
final ContextMapper contextMapper = new ContextMapper();
for (ContextSummary ctx : DNetRestClient.doGET(baseURL + "/contexts", ContextSummaryList.class)) {
contextMapper.put(ctx.getId(), new ContextDef(ctx.getId(), ctx.getLabel(), "context", ctx.getType()));
for (CategorySummary cat : DNetRestClient
.doGET(baseURL + "/context/" + ctx.getId(), CategorySummaryList.class)) {
contextMapper.put(cat.getId(), new ContextDef(cat.getId(), cat.getLabel(), "category", ""));
if (cat.isHasConcept()) {
for (ConceptSummary c : DNetRestClient
.doGET(baseURL + "/context/category/" + cat.getId(), ConceptSummaryList.class)) {
contextMapper.put(c.getId(), new ContextDef(c.getId(), c.getLabel(), "concept", ""));
if (c.isHasSubConcept()) {
for (ConceptSummary cs : c.getConcepts()) {
contextMapper.put(cs.getId(), new ContextDef(cs.getId(), cs.getLabel(), "concept", ""));
if (cs.isHasSubConcept()) {
for (ConceptSummary css : cs.getConcepts()) {
contextMapper
.put(
css.getId(),
new ContextDef(css.getId(), css.getLabel(), "concept", ""));
}
}
}
}
}
}
}
}
return contextMapper;
}
@Deprecated
public static ContextMapper fromIS(final String isLookupUrl)
throws DocumentException, ISLookUpException, SAXException {
ISLookUpService isLookUp = ISLookupClientFactory.getLookUpService(isLookupUrl);
@ -32,6 +72,7 @@ public class ContextMapper extends HashMap<String, ContextDef> implements Serial
return fromXml(sb.toString());
}
@Deprecated
public static ContextMapper fromXml(final String xml) throws DocumentException, SAXException {
final ContextMapper contextMapper = new ContextMapper();

View File

@ -12,9 +12,9 @@
"paramRequired": true
},
{
"paramName": "ilu",
"paramLongName": "isLookupUrl",
"paramDescription": "URL of the isLookUp Service",
"paramName": "cau",
"paramLongName": "contextApiBaseUrl",
"paramDescription": "URL of the context API",
"paramRequired": true
}
]

View File

@ -9,6 +9,10 @@
<name>isLookupUrl</name>
<description>URL for the isLookup service</description>
</property>
<property>
<name>contextApiBaseUrl</name>
<description>context API URL</description>
</property>
<property>
<name>relPartitions</name>
<description>number or partitions for the relations Dataset</description>
@ -589,7 +593,7 @@
</spark-opts>
<arg>--inputPath</arg><arg>${workingDir}/join_entities</arg>
<arg>--outputPath</arg><arg>${workingDir}/xml</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--contextApiBaseUrl</arg><arg>${contextApiBaseUrl}</arg>
</spark>
<ok to="should_index"/>
<error to="Kill"/>