classes for dumping of the graph as ttl file

pull/50/head
Miriam Baglioni 4 years ago
parent 16baf5b69e
commit f747e303ac

@ -1,4 +1,62 @@
package eu.dnetlib.dhp.oa.graph.dump.ttl;
public class OrganizationInfo {
import java.io.Serializable;
import java.util.List;
public class OrganizationInfo implements Serializable {
private String name;
private String shortName;
private String country;
private String websiteUrl;
private List<Pids> pidsList;
private String id;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getShortName() {
return shortName;
}
public void setShortName(String shortName) {
this.shortName = shortName;
}
public String getCountry() {
return country;
}
public void setCountry(String country) {
this.country = country;
}
public String getWebsiteUrl() {
return websiteUrl;
}
public void setWebsiteUrl(String webciteUrl) {
this.websiteUrl = webciteUrl;
}
public List<Pids> getPidsList() {
return pidsList;
}
public void setPidsList(List<Pids> pidsList) {
this.pidsList = pidsList;
}
}

@ -1,4 +1,25 @@
package eu.dnetlib.dhp.oa.graph.dump.ttl;
public class Pids {
import java.io.Serializable;
public class Pids implements Serializable {
private String type;
private String value;
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
public String getValue() {
return value;
}
public void setValue(String value) {
this.value = value;
}
}

@ -1,4 +1,88 @@
package eu.dnetlib.dhp.oa.graph.dump.ttl;
public class SparkPrepareOrganizationInfo {
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.oaf.Organization;
import scala.Tuple2;
public class SparkPrepareOrganizationInfo implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkPrepareOrganizationInfo.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkPrepareOrganizationInfo.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/dump_whole/input_organization_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);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
SparkConf conf = new SparkConf();
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
prepareOrganization(spark, inputPath, outputPath);
});
}
private static void prepareOrganization(SparkSession spark, String inputPath, String outputPath) {
Dataset<Organization> orgs = Utils.readPath(spark, inputPath, Organization.class);
orgs.createOrReplaceTempView("organization");
String query = "select country.classname country, legalname.value name, legalshortname.value shortName, websiteurl.value websiteUrl, "
+
"collect_set(named_struct(\"pidtype\", pIde.qualifier.classid, \"pid\", pIde.value)) as pidsList, id " +
"from organization " +
"lateral view explode( pid) p as pIde " +
"group by country.classname, legalname.value, legalshortname.value, websiteurl.value, id";
spark
.sql(query)
.as(Encoders.bean(OrganizationInfo.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath);
}
}

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