136 lines
4.2 KiB
Java
136 lines
4.2 KiB
Java
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package eu.dnetlib.dhp.oa.provision;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Optional;
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import javax.xml.transform.TransformerException;
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import org.apache.commons.io.IOUtils;
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import org.apache.solr.common.SolrInputDocument;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Encoder;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.lucidworks.spark.util.SolrSupport;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.oa.provision.model.SerializableSolrInputDocument;
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import eu.dnetlib.dhp.oa.provision.model.TupleWrapper;
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import eu.dnetlib.dhp.oa.provision.utils.ISLookupClient;
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import eu.dnetlib.dhp.oa.provision.utils.StreamingInputDocumentFactory;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.dhp.utils.saxon.SaxonTransformerFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
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public class XmlIndexingJob extends AbstractSolrRecordTransformJob {
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private static final Logger log = LoggerFactory.getLogger(XmlIndexingJob.class);
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private static final Integer DEFAULT_BATCH_SIZE = 1000;
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private final String inputPath;
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private final String format;
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private final int batchSize;
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private final SparkSession spark;
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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XmlIndexingJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/provision/input_params_update_index.json")));
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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final String format = parser.get("format");
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log.info("format: {}", format);
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final Integer batchSize = Optional
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.ofNullable(parser.get("batchSize"))
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.map(Integer::valueOf)
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.orElse(DEFAULT_BATCH_SIZE);
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log.info("batchSize: {}", batchSize);
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final SparkConf conf = new SparkConf();
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conf.registerKryoClasses(new Class[] {
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SerializableSolrInputDocument.class
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});
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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final String isLookupUrl = parser.get("isLookupUrl");
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log.info("isLookupUrl: {}", isLookupUrl);
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final ISLookupClient isLookup = new ISLookupClient(ISLookupClientFactory.getLookUpService(isLookupUrl));
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new XmlIndexingJob(spark, inputPath, format, batchSize)
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.run(isLookup);
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});
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}
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public XmlIndexingJob(SparkSession spark, String inputPath, String format, Integer batchSize) {
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this.spark = spark;
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this.inputPath = inputPath;
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this.format = format;
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this.batchSize = batchSize;
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}
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public void run(ISLookupClient isLookup) throws ISLookUpException, TransformerException {
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final String fields = isLookup.getLayoutSource(format);
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log.info("fields: {}", fields);
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final String xslt = isLookup.getLayoutTransformer();
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final String dsId = isLookup.getDsId(format);
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log.info("dsId: {}", dsId);
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final String collection = ProvisionConstants.getCollectionName(format);
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log.info("collection: {}", collection);
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final String zkHost = isLookup.getZkHost();
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log.info("zkHost: {}", zkHost);
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final String indexRecordXslt = getLayoutTransformer(format, fields, xslt);
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log.info("indexRecordTransformer {}", indexRecordXslt);
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final Encoder<TupleWrapper> encoder = Encoders.bean(TupleWrapper.class);
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JavaRDD<SolrInputDocument> docs = spark
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.read()
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.schema(encoder.schema())
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.json(inputPath)
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.as(encoder)
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.map(
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(MapFunction<TupleWrapper, TupleWrapper>) t -> new TupleWrapper(
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toIndexRecord(SaxonTransformerFactory.newInstance(indexRecordXslt), t.getXml()),
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t.getJson()),
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Encoders.bean(TupleWrapper.class))
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.javaRDD()
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.map(
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t -> new StreamingInputDocumentFactory().parseDocument(t.getXml(), t.getJson()));
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SolrSupport.indexDocs(zkHost, collection, batchSize, docs.rdd());
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}
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}
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