dnet-hadoop/dhp-workflows/dhp-graph-provision/src/main/java/eu/dnetlib/dhp/oa/provision/SolrRecordDumpJob.java

145 lines
4.5 KiB
Java

package eu.dnetlib.dhp.oa.provision;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Optional;
import javax.xml.transform.TransformerException;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.solr.common.SolrInputDocument;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoder;
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.provision.model.SerializableSolrInputDocument;
import eu.dnetlib.dhp.oa.provision.model.TupleWrapper;
import eu.dnetlib.dhp.oa.provision.utils.ISLookupClient;
import eu.dnetlib.dhp.oa.provision.utils.StreamingInputDocumentFactory;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.dhp.utils.saxon.SaxonTransformerFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
public class SolrRecordDumpJob extends AbstractSolrRecordTransformJob {
private static final Logger log = LoggerFactory.getLogger(SolrRecordDumpJob.class);
private static final Integer DEFAULT_BATCH_SIZE = 1000;
private final String inputPath;
private final String format;
private final String outputPath;
private final SparkSession spark;
public static void main(String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
SolrRecordDumpJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/provision/input_params_solr_record_dump.json")));
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("inputPath");
log.info("inputPath: {}", inputPath);
final String format = parser.get("format");
log.info("format: {}", format);
final String outputPath = Optional
.ofNullable(parser.get("outputPath"))
.map(StringUtils::trim)
.orElse(null);
log.info("outputPath: {}", outputPath);
final Integer batchSize = Optional
.ofNullable(parser.get("batchSize"))
.map(Integer::valueOf)
.orElse(DEFAULT_BATCH_SIZE);
log.info("batchSize: {}", batchSize);
final boolean shouldIndex = Optional
.ofNullable(parser.get("shouldIndex"))
.map(Boolean::valueOf)
.orElse(false);
log.info("shouldIndex: {}", shouldIndex);
final SparkConf conf = new SparkConf();
conf.registerKryoClasses(new Class[] {
SerializableSolrInputDocument.class
});
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
final String isLookupUrl = parser.get("isLookupUrl");
log.info("isLookupUrl: {}", isLookupUrl);
final ISLookupClient isLookup = new ISLookupClient(ISLookupClientFactory.getLookUpService(isLookupUrl));
new SolrRecordDumpJob(spark, inputPath, format, outputPath).run(isLookup);
});
}
public SolrRecordDumpJob(SparkSession spark, String inputPath, String format, String outputPath) {
this.spark = spark;
this.inputPath = inputPath;
this.format = format;
this.outputPath = outputPath;
}
public void run(ISLookupClient isLookup) throws ISLookUpException, TransformerException {
final String fields = isLookup.getLayoutSource(format);
log.info("fields: {}", fields);
final String xslt = isLookup.getLayoutTransformer();
final String dsId = isLookup.getDsId(format);
log.info("dsId: {}", dsId);
final String indexRecordXslt = getLayoutTransformer(format, fields, xslt);
log.info("indexRecordTransformer {}", indexRecordXslt);
final Encoder<TupleWrapper> encoder = Encoders.bean(TupleWrapper.class);
spark
.read()
.schema(encoder.schema())
.json(inputPath)
.as(encoder)
.map(
(MapFunction<TupleWrapper, TupleWrapper>) t -> new TupleWrapper(
toIndexRecord(SaxonTransformerFactory.newInstance(indexRecordXslt), t.getXml()),
t.getJson()),
Encoders.bean(TupleWrapper.class))
.map(
(MapFunction<TupleWrapper, SerializableSolrInputDocument>) t -> {
SolrInputDocument s = new StreamingInputDocumentFactory()
.parseDocument(t.getXml(), t.getJson());
return new SerializableSolrInputDocument(s);
},
Encoders.kryo(SerializableSolrInputDocument.class))
.write()
.mode(SaveMode.Overwrite)
.parquet(outputPath);
}
}