62 lines
2.0 KiB
Java
62 lines
2.0 KiB
Java
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package eu.dnetlib.dhp.provision;
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import java.util.HashMap;
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import java.util.Map;
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import org.apache.commons.io.IOUtils;
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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.JavaSparkContext;
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import org.apache.spark.sql.SparkSession;
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import org.elasticsearch.spark.rdd.api.java.JavaEsSpark;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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public class
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SparkIndexCollectionOnES {
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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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SparkIndexCollectionOnES.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/provision/index_on_es.json")));
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parser.parseArgument(args);
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SparkConf conf = new SparkConf()
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.setAppName(SparkIndexCollectionOnES.class.getSimpleName())
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.setMaster(parser.get("master"));
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conf.set("spark.sql.shuffle.partitions", "4000");
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final String sourcePath = parser.get("sourcePath");
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final String index = parser.get("index");
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final String idPath = parser.get("idPath");
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final String cluster = parser.get("cluster");
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final String clusterJson = IOUtils
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.toString(DropAndCreateESIndex.class.getResourceAsStream("/eu/dnetlib/dhp/provision/cluster.json"));
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final Map<String, String> clusterMap = new ObjectMapper().readValue(clusterJson, Map.class);
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final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<String> inputRdd = sc.textFile(sourcePath);
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Map<String, String> esCfg = new HashMap<>();
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esCfg.put("es.nodes", clusterMap.get(cluster));
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esCfg.put("es.mapping.id", idPath);
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esCfg.put("es.batch.write.retry.count", "8");
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esCfg.put("es.batch.write.retry.wait", "60s");
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esCfg.put("es.batch.size.entries", "200");
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esCfg.put("es.nodes.wan.only", "true");
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JavaEsSpark.saveJsonToEs(inputRdd, index, esCfg);
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}
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}
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