refactoring
This commit is contained in:
parent
540f70298b
commit
fa2ff5c6f5
|
|
@ -1,47 +1,43 @@
|
|||
package eu.dnetlib.dhp.countrypropagation;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.io.compress.GzipCodec;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SparkSession;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
/**
|
||||
* For the association of the country to the datasource
|
||||
* The association is computed only for datasource of specific type or having whitelisted ids
|
||||
* The country is registered in the Organization associated to the Datasource, so the
|
||||
* relation provides between Datasource and Organization is exploited to get the country for the datasource
|
||||
* For the association of the country to the datasource The association is computed only for
|
||||
* datasource of specific type or having whitelisted ids The country is registered in the
|
||||
* Organization associated to the Datasource, so the relation provides between Datasource and
|
||||
* Organization is exploited to get the country for the datasource
|
||||
*/
|
||||
|
||||
public class PrepareDatasourceCountryAssociation {
|
||||
|
||||
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
||||
private static final Logger log =
|
||||
LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils.toString(PrepareDatasourceCountryAssociation.class
|
||||
.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_prepareassoc_parameters.json"));
|
||||
String jsonConfiguration =
|
||||
IOUtils.toString(
|
||||
PrepareDatasourceCountryAssociation.class.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/countrypropagation/input_prepareassoc_parameters.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
jsonConfiguration);
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
|
|
@ -57,73 +53,83 @@ public class PrepareDatasourceCountryAssociation {
|
|||
SparkConf conf = new SparkConf();
|
||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
|
||||
|
||||
|
||||
runWithSparkHiveSession(conf, isSparkSessionManaged,
|
||||
runWithSparkHiveSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
removeOutputDir(spark, outputPath);
|
||||
prepareDatasourceCountryAssociation(spark,
|
||||
prepareDatasourceCountryAssociation(
|
||||
spark,
|
||||
Arrays.asList(parser.get("whitelist").split(";")),
|
||||
Arrays.asList(parser.get("allowedtypes").split(";")),
|
||||
inputPath,
|
||||
outputPath);
|
||||
|
||||
});
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
private static void prepareDatasourceCountryAssociation(SparkSession spark,
|
||||
List<String> whitelist,
|
||||
List<String> allowedtypes,
|
||||
String inputPath,
|
||||
String outputPath) {
|
||||
private static void prepareDatasourceCountryAssociation(
|
||||
SparkSession spark,
|
||||
List<String> whitelist,
|
||||
List<String> allowedtypes,
|
||||
String inputPath,
|
||||
String outputPath) {
|
||||
String whitelisted = "";
|
||||
for (String i : whitelist){
|
||||
for (String i : whitelist) {
|
||||
whitelisted += " OR id = '" + i + "'";
|
||||
}
|
||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
||||
|
||||
Dataset<Datasource> datasource =
|
||||
spark.createDataset(
|
||||
sc.textFile(inputPath + "/datasource")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Datasource.class))
|
||||
.rdd(),
|
||||
Encoders.bean(Datasource.class));
|
||||
|
||||
Dataset<Datasource> datasource = spark.createDataset(sc.textFile(inputPath + "/datasource")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Datasource.class)).rdd(), Encoders.bean(Datasource.class));
|
||||
Dataset<Relation> relation =
|
||||
spark.createDataset(
|
||||
sc.textFile(inputPath + "/relation")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
|
||||
.rdd(),
|
||||
Encoders.bean(Relation.class));
|
||||
|
||||
Dataset<Relation> relation = spark.createDataset(sc.textFile(inputPath + "/relation")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class)).rdd(), Encoders.bean(Relation.class));
|
||||
|
||||
Dataset<Organization> organization = spark.createDataset(sc.textFile(inputPath + "/organization")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Organization.class)).rdd(), Encoders.bean(Organization.class));
|
||||
Dataset<Organization> organization =
|
||||
spark.createDataset(
|
||||
sc.textFile(inputPath + "/organization")
|
||||
.map(item -> OBJECT_MAPPER.readValue(item, Organization.class))
|
||||
.rdd(),
|
||||
Encoders.bean(Organization.class));
|
||||
|
||||
datasource.createOrReplaceTempView("datasource");
|
||||
relation.createOrReplaceTempView("relation");
|
||||
organization.createOrReplaceTempView("organization");
|
||||
|
||||
String query = "SELECT source dataSourceId, named_struct('classid', country.classid, 'classname', country.classname) country " +
|
||||
"FROM ( SELECT id " +
|
||||
" FROM datasource " +
|
||||
" WHERE (datainfo.deletedbyinference = false " + whitelisted + ") " +
|
||||
getConstraintList("datasourcetype.classid = '", allowedtypes) + ") d " +
|
||||
"JOIN ( SELECT source, target " +
|
||||
" FROM relation " +
|
||||
" WHERE relclass = '" + RELATION_DATASOURCE_ORGANIZATION_REL_CLASS + "' " +
|
||||
" AND datainfo.deletedbyinference = false ) rel " +
|
||||
"ON d.id = rel.source " +
|
||||
"JOIN (SELECT id, country " +
|
||||
" FROM organization " +
|
||||
" WHERE datainfo.deletedbyinference = false " +
|
||||
" AND length(country.classid)>0) o " +
|
||||
"ON o.id = rel.target";
|
||||
String query =
|
||||
"SELECT source dataSourceId, named_struct('classid', country.classid, 'classname', country.classname) country "
|
||||
+ "FROM ( SELECT id "
|
||||
+ " FROM datasource "
|
||||
+ " WHERE (datainfo.deletedbyinference = false "
|
||||
+ whitelisted
|
||||
+ ") "
|
||||
+ getConstraintList("datasourcetype.classid = '", allowedtypes)
|
||||
+ ") d "
|
||||
+ "JOIN ( SELECT source, target "
|
||||
+ " FROM relation "
|
||||
+ " WHERE relclass = '"
|
||||
+ RELATION_DATASOURCE_ORGANIZATION_REL_CLASS
|
||||
+ "' "
|
||||
+ " AND datainfo.deletedbyinference = false ) rel "
|
||||
+ "ON d.id = rel.source "
|
||||
+ "JOIN (SELECT id, country "
|
||||
+ " FROM organization "
|
||||
+ " WHERE datainfo.deletedbyinference = false "
|
||||
+ " AND length(country.classid)>0) o "
|
||||
+ "ON o.id = rel.target";
|
||||
|
||||
spark.sql(query)
|
||||
.as(Encoders.bean(DatasourceCountry.class))
|
||||
.toJavaRDD()
|
||||
.map(c -> OBJECT_MAPPER.writeValueAsString(c))
|
||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,28 +1,22 @@
|
|||
package eu.dnetlib.dhp.countrypropagation;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
import eu.dnetlib.dhp.schema.oaf.*;
|
||||
import java.util.*;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.io.compress.CompressionCodec;
|
||||
import org.apache.hadoop.io.compress.GzipCodec;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaRDD;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.apache.spark.api.java.function.MapFunction;
|
||||
import org.apache.spark.broadcast.Broadcast;
|
||||
import org.apache.spark.sql.*;
|
||||
import org.apache.spark.sql.Dataset;
|
||||
import scala.Tuple2;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||
import scala.Tuple2;
|
||||
|
||||
public class SparkCountryPropagationJob2 {
|
||||
|
||||
|
|
@ -30,14 +24,14 @@ public class SparkCountryPropagationJob2 {
|
|||
|
||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||
|
||||
|
||||
public static void main(String[] args) throws Exception {
|
||||
|
||||
String jsonConfiguration = IOUtils.toString(SparkCountryPropagationJob2.class
|
||||
.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json"));
|
||||
String jsonConfiguration =
|
||||
IOUtils.toString(
|
||||
SparkCountryPropagationJob2.class.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json"));
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
jsonConfiguration);
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||
|
||||
parser.parseArgument(args);
|
||||
|
||||
|
|
@ -56,182 +50,214 @@ public class SparkCountryPropagationJob2 {
|
|||
final String resultClassName = parser.get("resultTableName");
|
||||
log.info("resultTableName: {}", resultClassName);
|
||||
|
||||
final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
|
||||
final String resultType =
|
||||
resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
|
||||
log.info("resultType: {}", resultType);
|
||||
|
||||
final Boolean writeUpdates = Optional
|
||||
.ofNullable(parser.get("writeUpdate"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
final Boolean writeUpdates =
|
||||
Optional.ofNullable(parser.get("writeUpdate"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
log.info("writeUpdate: {}", writeUpdates);
|
||||
|
||||
final Boolean saveGraph = Optional
|
||||
.ofNullable(parser.get("saveGraph"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
final Boolean saveGraph =
|
||||
Optional.ofNullable(parser.get("saveGraph"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
log.info("saveGraph: {}", saveGraph);
|
||||
|
||||
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
|
||||
Class<? extends Result> resultClazz =
|
||||
(Class<? extends Result>) Class.forName(resultClassName);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
|
||||
runWithSparkHiveSession(conf, isSparkSessionManaged,
|
||||
runWithSparkHiveSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
//createOutputDirs(outputPath, FileSystem.get(spark.sparkContext().hadoopConfiguration()));
|
||||
// createOutputDirs(outputPath,
|
||||
// FileSystem.get(spark.sparkContext().hadoopConfiguration()));
|
||||
removeOutputDir(spark, outputPath);
|
||||
execPropagation(spark, datasourcecountrypath, inputPath, outputPath, resultClazz, resultType,
|
||||
writeUpdates, saveGraph);
|
||||
execPropagation(
|
||||
spark,
|
||||
datasourcecountrypath,
|
||||
inputPath,
|
||||
outputPath,
|
||||
resultClazz,
|
||||
resultType,
|
||||
writeUpdates,
|
||||
saveGraph);
|
||||
});
|
||||
|
||||
}
|
||||
|
||||
private static <R extends Result> void execPropagation(SparkSession spark, String datasourcecountrypath,
|
||||
String inputPath, String outputPath, Class<R> resultClazz, String resultType,
|
||||
boolean writeUpdates, boolean saveGraph){
|
||||
private static <R extends Result> void execPropagation(
|
||||
SparkSession spark,
|
||||
String datasourcecountrypath,
|
||||
String inputPath,
|
||||
String outputPath,
|
||||
Class<R> resultClazz,
|
||||
String resultType,
|
||||
boolean writeUpdates,
|
||||
boolean saveGraph) {
|
||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
||||
|
||||
//Load parque file with preprocessed association datasource - country
|
||||
Dataset<DatasourceCountry> datasourcecountryassoc = readAssocDatasourceCountry(spark, datasourcecountrypath);
|
||||
//broadcasting the result of the preparation step
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc = sc.broadcast(datasourcecountryassoc);
|
||||
// Load parque file with preprocessed association datasource - country
|
||||
Dataset<DatasourceCountry> datasourcecountryassoc =
|
||||
readAssocDatasourceCountry(spark, datasourcecountrypath);
|
||||
// broadcasting the result of the preparation step
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc =
|
||||
sc.broadcast(datasourcecountryassoc);
|
||||
|
||||
Dataset<ResultCountrySet> potentialUpdates = getPotentialResultToUpdate(spark, inputPath, resultClazz,
|
||||
broadcast_datasourcecountryassoc).as(Encoders.bean(ResultCountrySet.class));
|
||||
Dataset<ResultCountrySet> potentialUpdates =
|
||||
getPotentialResultToUpdate(
|
||||
spark, inputPath, resultClazz, broadcast_datasourcecountryassoc)
|
||||
.as(Encoders.bean(ResultCountrySet.class));
|
||||
|
||||
if(writeUpdates){
|
||||
if (writeUpdates) {
|
||||
writeUpdates(potentialUpdates, outputPath + "/update_" + resultType);
|
||||
}
|
||||
|
||||
if(saveGraph){
|
||||
if (saveGraph) {
|
||||
updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
private static <R extends Result> void updateResultTable(SparkSession spark, Dataset<ResultCountrySet> potentialUpdates,
|
||||
String inputPath,
|
||||
Class<R> resultClazz,
|
||||
String outputPath) {
|
||||
private static <R extends Result> void updateResultTable(
|
||||
SparkSession spark,
|
||||
Dataset<ResultCountrySet> potentialUpdates,
|
||||
String inputPath,
|
||||
Class<R> resultClazz,
|
||||
String outputPath) {
|
||||
|
||||
log.info("Reading Graph table from: {}", inputPath);
|
||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
||||
|
||||
Dataset<Tuple2<String, R>> result_pair = result
|
||||
.map(r -> new Tuple2<>(r.getId(), r),
|
||||
Encoders.tuple(Encoders.STRING(), Encoders.bean(resultClazz)));
|
||||
Dataset<Tuple2<String, R>> result_pair =
|
||||
result.map(
|
||||
r -> new Tuple2<>(r.getId(), r),
|
||||
Encoders.tuple(Encoders.STRING(), Encoders.bean(resultClazz)));
|
||||
|
||||
// Dataset<Tuple2<String, ResultCountrySet>> potential_update_pair = potentialUpdates.map(pu -> new Tuple2<>(pu.getResultId(),
|
||||
// pu),
|
||||
// Encoders.tuple(Encoders.STRING(), Encoders.bean(ResultCountrySet.class)));
|
||||
// Dataset<Tuple2<String, ResultCountrySet>> potential_update_pair =
|
||||
// potentialUpdates.map(pu -> new Tuple2<>(pu.getResultId(),
|
||||
// pu),
|
||||
// Encoders.tuple(Encoders.STRING(), Encoders.bean(ResultCountrySet.class)));
|
||||
|
||||
Dataset<R> new_table = result_pair
|
||||
.joinWith(potentialUpdates, result_pair.col("_1").equalTo(potentialUpdates.col("resultId")), "left_outer")
|
||||
.map((MapFunction<Tuple2<Tuple2<String, R>, ResultCountrySet>, R>) value -> {
|
||||
R r = value._1()._2();
|
||||
Optional<ResultCountrySet> potentialNewCountries = Optional.ofNullable(value._2());
|
||||
if (potentialNewCountries.isPresent()) {
|
||||
HashSet<String> countries = new HashSet<>();
|
||||
for (Qualifier country : r.getCountry()) {
|
||||
countries.add(country.getClassid());
|
||||
}
|
||||
Result res = new Result();
|
||||
res.setId(r.getId());
|
||||
List<Country> countryList = new ArrayList<>();
|
||||
for (CountrySbs country : potentialNewCountries.get().getCountrySet()) {
|
||||
if (!countries.contains(country.getClassid())) {
|
||||
countryList.add(getCountry(country.getClassid(), country.getClassname()));
|
||||
}
|
||||
}
|
||||
res.setCountry(countryList);
|
||||
r.mergeFrom(res);
|
||||
}
|
||||
return r;
|
||||
}, Encoders.bean(resultClazz));
|
||||
Dataset<R> new_table =
|
||||
result_pair
|
||||
.joinWith(
|
||||
potentialUpdates,
|
||||
result_pair.col("_1").equalTo(potentialUpdates.col("resultId")),
|
||||
"left_outer")
|
||||
.map(
|
||||
(MapFunction<Tuple2<Tuple2<String, R>, ResultCountrySet>, R>)
|
||||
value -> {
|
||||
R r = value._1()._2();
|
||||
Optional<ResultCountrySet> potentialNewCountries =
|
||||
Optional.ofNullable(value._2());
|
||||
if (potentialNewCountries.isPresent()) {
|
||||
HashSet<String> countries = new HashSet<>();
|
||||
for (Qualifier country : r.getCountry()) {
|
||||
countries.add(country.getClassid());
|
||||
}
|
||||
Result res = new Result();
|
||||
res.setId(r.getId());
|
||||
List<Country> countryList = new ArrayList<>();
|
||||
for (CountrySbs country :
|
||||
potentialNewCountries
|
||||
.get()
|
||||
.getCountrySet()) {
|
||||
if (!countries.contains(country.getClassid())) {
|
||||
countryList.add(
|
||||
getCountry(
|
||||
country.getClassid(),
|
||||
country.getClassname()));
|
||||
}
|
||||
}
|
||||
res.setCountry(countryList);
|
||||
r.mergeFrom(res);
|
||||
}
|
||||
return r;
|
||||
},
|
||||
Encoders.bean(resultClazz));
|
||||
|
||||
log.info("Saving graph table to path: {}", outputPath);
|
||||
//log.info("number of saved recordsa: {}", new_table.count());
|
||||
new_table
|
||||
.toJSON()
|
||||
.write()
|
||||
.option("compression", "gzip")
|
||||
.text(outputPath);
|
||||
// .toJavaRDD()
|
||||
// .map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
||||
// .saveAsTextFile(outputPath , GzipCodec.class);
|
||||
log.info("Saving graph table to path: {}", outputPath);
|
||||
// log.info("number of saved recordsa: {}", new_table.count());
|
||||
new_table.toJSON().write().option("compression", "gzip").text(outputPath);
|
||||
// .toJavaRDD()
|
||||
// .map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
||||
// .saveAsTextFile(outputPath , GzipCodec.class);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
private static <R extends Result> Dataset<Row> getPotentialResultToUpdate(SparkSession spark, String inputPath,
|
||||
Class<R> resultClazz,
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc) {
|
||||
private static <R extends Result> Dataset<Row> getPotentialResultToUpdate(
|
||||
SparkSession spark,
|
||||
String inputPath,
|
||||
Class<R> resultClazz,
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc) {
|
||||
|
||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
||||
result.createOrReplaceTempView("result");
|
||||
//log.info("number of results: {}", result.count());
|
||||
// log.info("number of results: {}", result.count());
|
||||
createCfHbforresult(spark);
|
||||
return countryPropagationAssoc(spark, broadcast_datasourcecountryassoc);
|
||||
}
|
||||
|
||||
// private static void createCfHbforresult(SparkSession spark) {
|
||||
// String query;
|
||||
// query = "SELECT id, inst.collectedfrom.key cf , inst.hostedby.key hb " +
|
||||
// "FROM ( SELECT id, instance " +
|
||||
// "FROM result " +
|
||||
// " WHERE datainfo.deletedbyinference = false) ds " +
|
||||
// "LATERAL VIEW EXPLODE(instance) i AS inst";
|
||||
// Dataset<Row> cfhb = spark.sql(query);
|
||||
// cfhb.createOrReplaceTempView("cfhb");
|
||||
// //log.info("cfhb_number : {}", cfhb.count());
|
||||
// }
|
||||
|
||||
// private static void createCfHbforresult(SparkSession spark) {
|
||||
// String query;
|
||||
// query = "SELECT id, inst.collectedfrom.key cf , inst.hostedby.key hb " +
|
||||
// "FROM ( SELECT id, instance " +
|
||||
// "FROM result " +
|
||||
// " WHERE datainfo.deletedbyinference = false) ds " +
|
||||
// "LATERAL VIEW EXPLODE(instance) i AS inst";
|
||||
// Dataset<Row> cfhb = spark.sql(query);
|
||||
// cfhb.createOrReplaceTempView("cfhb");
|
||||
// //log.info("cfhb_number : {}", cfhb.count());
|
||||
// }
|
||||
|
||||
|
||||
private static Dataset<Row> countryPropagationAssoc(SparkSession spark,
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc){
|
||||
private static Dataset<Row> countryPropagationAssoc(
|
||||
SparkSession spark,
|
||||
Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc) {
|
||||
|
||||
Dataset<DatasourceCountry> datasource_country = broadcast_datasourcecountryassoc.value();
|
||||
datasource_country.createOrReplaceTempView("datasource_country");
|
||||
log.info("datasource_country number : {}",datasource_country.count());
|
||||
log.info("datasource_country number : {}", datasource_country.count());
|
||||
|
||||
String query = "SELECT id resultId, collect_set(country) countrySet "+
|
||||
"FROM ( SELECT id, country " +
|
||||
"FROM datasource_country " +
|
||||
"JOIN cfhb " +
|
||||
" ON cf = dataSourceId " +
|
||||
"UNION ALL " +
|
||||
"SELECT id , country " +
|
||||
"FROM datasource_country " +
|
||||
"JOIN cfhb " +
|
||||
" ON hb = dataSourceId ) tmp " +
|
||||
"GROUP BY id";
|
||||
String query =
|
||||
"SELECT id resultId, collect_set(country) countrySet "
|
||||
+ "FROM ( SELECT id, country "
|
||||
+ "FROM datasource_country "
|
||||
+ "JOIN cfhb "
|
||||
+ " ON cf = dataSourceId "
|
||||
+ "UNION ALL "
|
||||
+ "SELECT id , country "
|
||||
+ "FROM datasource_country "
|
||||
+ "JOIN cfhb "
|
||||
+ " ON hb = dataSourceId ) tmp "
|
||||
+ "GROUP BY id";
|
||||
Dataset<Row> potentialUpdates = spark.sql(query);
|
||||
//log.info("potential update number : {}", potentialUpdates.count());
|
||||
// log.info("potential update number : {}", potentialUpdates.count());
|
||||
return potentialUpdates;
|
||||
}
|
||||
|
||||
|
||||
|
||||
private static Dataset<DatasourceCountry> readAssocDatasourceCountry(SparkSession spark, String relationPath) {
|
||||
return spark
|
||||
.read()
|
||||
.textFile(relationPath)
|
||||
.map(value -> OBJECT_MAPPER.readValue(value, DatasourceCountry.class), Encoders.bean(DatasourceCountry.class));
|
||||
private static Dataset<DatasourceCountry> readAssocDatasourceCountry(
|
||||
SparkSession spark, String relationPath) {
|
||||
return spark.read()
|
||||
.textFile(relationPath)
|
||||
.map(
|
||||
value -> OBJECT_MAPPER.readValue(value, DatasourceCountry.class),
|
||||
Encoders.bean(DatasourceCountry.class));
|
||||
}
|
||||
|
||||
private static void writeUpdates(Dataset<ResultCountrySet> potentialUpdates, String outputPath){
|
||||
private static void writeUpdates(
|
||||
Dataset<ResultCountrySet> potentialUpdates, String outputPath) {
|
||||
potentialUpdates
|
||||
.toJSON()
|
||||
.write()
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.text(outputPath);
|
||||
// map(u -> OBJECT_MAPPER.writeValueAsString(u))
|
||||
// .saveAsTextFile(outputPath, GzipCodec.class);
|
||||
// map(u -> OBJECT_MAPPER.writeValueAsString(u))
|
||||
// .saveAsTextFile(outputPath, GzipCodec.class);
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue