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Merge branch 'merge_entities_job' into beta

This commit is contained in:
Claudio Atzori 2023-10-02 11:24:48 +02:00
commit dc86018a5f
7 changed files with 203 additions and 409 deletions

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@ -1,97 +0,0 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.ModelSupport;
public class DispatchEntitiesSparkJob {
private static final Logger log = LoggerFactory.getLogger(DispatchEntitiesSparkJob.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
Objects
.requireNonNull(
DispatchEntitiesSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/merge/dispatch_entities_parameters.json")));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> dispatchEntities(spark, inputPath, outputPath, filterInvisible));
}
private static void dispatchEntities(
SparkSession spark,
String inputPath,
String outputPath,
boolean filterInvisible) {
Dataset<String> df = spark.read().textFile(inputPath);
ModelSupport.oafTypes.entrySet().parallelStream().forEach(entry -> {
String entityType = entry.getKey();
Class<?> clazz = entry.getValue();
final String entityPath = outputPath + "/" + entityType;
if (!entityType.equalsIgnoreCase("relation")) {
HdfsSupport.remove(entityPath, spark.sparkContext().hadoopConfiguration());
Dataset<Row> entityDF = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(
df
.filter((FilterFunction<String>) s -> s.startsWith(clazz.getName()))
.map(
(MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"),
Encoders.STRING()));
if (filterInvisible) {
entityDF = entityDF.filter("dataInfo.invisible != true");
}
entityDF
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(entityPath);
}
});
}
}

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@ -2,36 +2,28 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static eu.dnetlib.dhp.utils.DHPUtils.toSeq;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
import java.io.IOException;
import java.util.List;
import java.util.Objects;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.expressions.Aggregator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.jayway.jsonpath.Configuration;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.jayway.jsonpath.Option;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
@ -39,13 +31,9 @@ import scala.Tuple2;
* Groups the graph content by entity identifier to ensure ID uniqueness
*/
public class GroupEntitiesSparkJob {
private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
private static final String ID_JPATH = "$.id";
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
public static void main(String[] args) throws Exception {
@ -66,9 +54,15 @@ public class GroupEntitiesSparkJob {
String graphInputPath = parser.get("graphInputPath");
log.info("graphInputPath: {}", graphInputPath);
String checkpointPath = parser.get("checkpointPath");
log.info("checkpointPath: {}", checkpointPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
boolean filterInvisible = Boolean.valueOf(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
@ -78,126 +72,95 @@ public class GroupEntitiesSparkJob {
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
groupEntities(spark, graphInputPath, outputPath);
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible);
});
}
private static void groupEntities(
SparkSession spark,
String inputPath,
String outputPath) {
String checkpointPath,
String outputPath,
boolean filterInvisible) {
final TypedColumn<OafEntity, OafEntity> aggregator = new GroupingAggregator().toColumn();
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
spark
.read()
.textFile(toSeq(listEntityPaths(inputPath, sc)))
.map((MapFunction<String, OafEntity>) GroupEntitiesSparkJob::parseOaf, Encoders.kryo(OafEntity.class))
.filter((FilterFunction<OafEntity>) e -> StringUtils.isNotBlank(ModelSupport.idFn().apply(e)))
.groupByKey((MapFunction<OafEntity, String>) oaf -> ModelSupport.idFn().apply(oaf), Encoders.STRING())
.agg(aggregator)
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
String entityInputPath = inputPath + "/" + entity;
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
continue;
}
allEntities = allEntities
.union(
((Dataset<OafEntity>) spark
.read()
.schema(Encoders.bean(entityClass).schema())
.json(entityInputPath)
.filter("length(id) > 0")
.as(Encoders.bean(entityClass)))
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
}
Dataset<?> groupedEntities = allEntities
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
.reduceGroups((ReduceFunction<OafEntity>) (b, a) -> OafMapperUtils.mergeEntities(b, a))
.map(
(MapFunction<Tuple2<String, OafEntity>, String>) t -> t._2().getClass().getName() +
"|" + OBJECT_MAPPER.writeValueAsString(t._2()),
Encoders.STRING())
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2(
t._2().getClass().getName(), t._2()),
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
// pivot on "_1" (classname of the entity)
// created columns containing only entities of the same class
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
groupedEntities = groupedEntities
.withColumn(
entity,
when(col("_1").equalTo(entityClass.getName()), col("_2")));
}
groupedEntities
.drop("_1", "_2")
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.text(outputPath);
}
.option("compression", "gzip")
.save(checkpointPath);
public static class GroupingAggregator extends Aggregator<OafEntity, OafEntity, OafEntity> {
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
@Override
public OafEntity zero() {
return null;
}
@Override
public OafEntity reduce(OafEntity b, OafEntity a) {
return mergeAndGet(b, a);
}
private OafEntity mergeAndGet(OafEntity b, OafEntity a) {
if (Objects.nonNull(a) && Objects.nonNull(b)) {
return OafMapperUtils.mergeEntities(b, a);
}
return Objects.isNull(a) ? b : a;
}
@Override
public OafEntity merge(OafEntity b, OafEntity a) {
return mergeAndGet(b, a);
}
@Override
public OafEntity finish(OafEntity j) {
return j;
}
@Override
public Encoder<OafEntity> bufferEncoder() {
return Encoders.kryo(OafEntity.class);
}
@Override
public Encoder<OafEntity> outputEncoder() {
return Encoders.kryo(OafEntity.class);
}
}
private static OafEntity parseOaf(String s) {
DocumentContext dc = JsonPath
.parse(s, Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS));
final String id = dc.read(ID_JPATH);
if (StringUtils.isNotBlank(id)) {
String prefix = StringUtils.substringBefore(id, "|");
switch (prefix) {
case "10":
return parse(s, Datasource.class);
case "20":
return parse(s, Organization.class);
case "40":
return parse(s, Project.class);
case "50":
String resultType = dc.read("$.resulttype.classid");
switch (resultType) {
case "publication":
return parse(s, Publication.class);
case "dataset":
return parse(s, eu.dnetlib.dhp.schema.oaf.Dataset.class);
case "software":
return parse(s, Software.class);
case "other":
return parse(s, OtherResearchProduct.class);
default:
throw new IllegalArgumentException(String.format("invalid resultType: '%s'", resultType));
}
default:
throw new IllegalArgumentException(String.format("invalid id prefix: '%s'", prefix));
}
} else {
throw new IllegalArgumentException(String.format("invalid oaf: '%s'", s));
}
}
private static <T extends OafEntity> OafEntity parse(String s, Class<T> clazz) {
try {
return OBJECT_MAPPER.readValue(s, clazz);
} catch (IOException e) {
throw new IllegalArgumentException(e);
}
}
private static List<String> listEntityPaths(String inputPath, JavaSparkContext sc) {
return HdfsSupport
.listFiles(inputPath, sc.hadoopConfiguration())
ModelSupport.entityTypes
.entrySet()
.stream()
.filter(f -> !f.toLowerCase().contains("relation"))
.collect(Collectors.toList());
}
.map(e -> parPool.submit(() -> {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
spark
.read()
.load(checkpointPath)
.select(col(entity).as("value"))
.filter("value IS NOT NULL")
.as(OAFENTITY_KRYO_ENC)
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + entity);
}))
.collect(Collectors.toList())
.forEach(t -> {
try {
t.get();
} catch (InterruptedException | ExecutionException e) {
throw new RuntimeException(e);
}
});
}
}

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@ -1,26 +0,0 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "i",
"paramLongName": "inputPath",
"paramDescription": "the source path",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",
"paramDescription": "path of the output graph",
"paramRequired": true
},
{
"paramName": "fi",
"paramLongName": "filterInvisible",
"paramDescription": "if true filters out invisible entities",
"paramRequired": true
}
]

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@ -8,13 +8,25 @@
{
"paramName": "gin",
"paramLongName": "graphInputPath",
"paramDescription": "the graph root path",
"paramDescription": "the input graph root path",
"paramRequired": true
},
{
"paramName": "cp",
"paramLongName": "checkpointPath",
"paramDescription": "checkpoint directory",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"paramDescription": "the output merged graph root path",
"paramDescription": "the output graph root path",
"paramRequired": true
},
{
"paramName": "fi",
"paramLongName": "filterInvisible",
"paramDescription": "if true filters out invisible entities",
"paramRequired": true
}
]

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@ -152,31 +152,7 @@
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
</spark>
<ok to="dispatch_entities"/>
<error to="Kill"/>
</action>
<action name="dispatch_entities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dispatch grouped entitities</name>
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
<jar>dhp-dedup-openaire-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--conf spark.executor.memoryOverhead=${sparkExecutorMemoryOverhead}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
</spark>

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@ -96,30 +96,7 @@
--conf spark.sql.shuffle.partitions=15000
</spark-opts>
<arg>--graphInputPath</arg><arg>${graphBasePath}</arg>
<arg>--outputPath</arg><arg>${workingPath}/grouped_entities</arg>
</spark>
<ok to="dispatch_entities"/>
<error to="Kill"/>
</action>
<action name="dispatch_entities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dispatch grouped entities</name>
<class>eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--checkpointPath</arg><arg>${workingPath}/grouped_entities</arg>
<arg>--outputPath</arg><arg>${graphOutputPath}</arg>
<arg>--filterInvisible</arg><arg>${filterInvisible}</arg>
</spark>

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@ -1,16 +1,15 @@
package eu.dnetlib.dhp.oa.graph.group;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.DHPUtils;
import org.apache.commons.io.FileUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
@ -19,118 +18,108 @@ import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.*;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.merge.DispatchEntitiesSparkJob;
import eu.dnetlib.dhp.oa.merge.GroupEntitiesSparkJob;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.DHPUtils;
import static org.junit.jupiter.api.Assertions.assertEquals;
@TestMethodOrder(MethodOrderer.OrderAnnotation.class)
public class GroupEntitiesSparkJobTest {
private static SparkSession spark;
private static SparkSession spark;
private static ObjectMapper mapper = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
private static ObjectMapper mapper = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
private static Path workingDir;
private Path dataInputPath;
private static Path workingDir;
private Path dataInputPath;
private Path groupEntityPath;
private Path dispatchEntityPath;
private Path checkpointPath;
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(GroupEntitiesSparkJob.class.getSimpleName());
private Path outputPath;
SparkConf conf = new SparkConf();
conf.setAppName(GroupEntitiesSparkJob.class.getSimpleName());
conf.setMaster("local");
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
spark = SparkSession.builder().config(conf).getOrCreate();
}
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(GroupEntitiesSparkJob.class.getSimpleName());
@BeforeEach
public void beforeEach() throws IOException, URISyntaxException {
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
groupEntityPath = workingDir.resolve("grouped_entity");
dispatchEntityPath = workingDir.resolve("dispatched_entity");
}
SparkConf conf = new SparkConf();
conf.setAppName(GroupEntitiesSparkJob.class.getSimpleName());
conf.setMaster("local");
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
spark = SparkSession.builder().config(conf).getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
spark.stop();
FileUtils.deleteDirectory(workingDir.toFile());
}
@BeforeEach
public void beforeEach() throws IOException, URISyntaxException {
dataInputPath = Paths.get(ClassLoader.getSystemResource("eu/dnetlib/dhp/oa/graph/group").toURI());
checkpointPath = workingDir.resolve("grouped_entity");
outputPath = workingDir.resolve("dispatched_entity");
}
@Test
@Order(1)
void testGroupEntities() throws Exception {
GroupEntitiesSparkJob.main(new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-graphInputPath",
dataInputPath.toString(),
"-outputPath",
groupEntityPath.toString()
});
@AfterAll
public static void afterAll() throws IOException {
spark.stop();
FileUtils.deleteDirectory(workingDir.toFile());
}
Dataset<Result> output = spark
.read()
.textFile(groupEntityPath.toString())
.map((MapFunction<String, String>) s -> StringUtils.substringAfter(s, "|"), Encoders.STRING())
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
@Test
@Order(1)
void testGroupEntities() throws Exception {
GroupEntitiesSparkJob.main(new String[]{
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-graphInputPath",
dataInputPath.toString(),
"-checkpointPath",
checkpointPath.toString(),
"-outputPath",
outputPath.toString(),
"-filterInvisible",
Boolean.FALSE.toString()
});
assertEquals(
1,
output
.filter(
(FilterFunction<Result>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
.equals(r.getId()) &&
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
.count());
}
Dataset<OafEntity> checkpointTable = spark
.read()
.load(checkpointPath.toString())
.selectExpr("COALESCE(*)")
.as(Encoders.kryo(OafEntity.class));
@Test
@Order(2)
void testDispatchEntities() throws Exception {
DispatchEntitiesSparkJob.main(new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
groupEntityPath.toString(),
"-outputPath",
dispatchEntityPath.resolve(".").toString(),
"-filterInvisible",
Boolean.TRUE.toString()
});
Dataset<Result> output = spark
.read()
.textFile(
DHPUtils
.toSeq(
HdfsSupport
.listFiles(dispatchEntityPath.toString(), spark.sparkContext().hadoopConfiguration())))
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
assertEquals(
1,
checkpointTable
.filter(
(FilterFunction<OafEntity>) r -> "50|doi_________::09821844208a5cd6300b2bfb13bca1b9"
.equals(r.getId()) &&
r.getCollectedfrom().stream().anyMatch(kv -> kv.getValue().equalsIgnoreCase("zenodo")))
.count());
assertEquals(3, output.count());
assertEquals(
2,
output
.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
.filter((FilterFunction<String>) s -> s.equals("publication"))
.count());
assertEquals(
1,
output
.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
.filter((FilterFunction<String>) s -> s.equals("dataset"))
.count());
}
}
Dataset<Result> output = spark
.read()
.textFile(
DHPUtils
.toSeq(
HdfsSupport
.listFiles(outputPath.toString(), spark.sparkContext().hadoopConfiguration())))
.map((MapFunction<String, Result>) s -> mapper.readValue(s, Result.class), Encoders.bean(Result.class));
assertEquals(3, output.count());
assertEquals(
2,
output
.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
.filter((FilterFunction<String>) s -> s.equals("publication"))
.count());
assertEquals(
1,
output
.map((MapFunction<Result, String>) r -> r.getResulttype().getClassid(), Encoders.STRING())
.filter((FilterFunction<String>) s -> s.equals("dataset"))
.count());
}
}