123 lines
3.6 KiB
Java
123 lines
3.6 KiB
Java
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package eu.dnetlib.dhp.oa.graph.clean;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.Optional;
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import java.util.stream.Collectors;
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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.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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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.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class CleanContextSparkJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(CleanContextSparkJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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CleanContextSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/input_clean_context_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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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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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String workingPath = parser.get("workingPath");
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log.info("workingPath: {}", workingPath);
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String contextId = parser.get("contextId");
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log.info("contextId: {}", contextId);
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String verifyParam = parser.get("verifyParam");
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log.info("verifyParam: {}", verifyParam);
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String graphTableClassName = parser.get("graphTableClassName");
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log.info("graphTableClassName: {}", graphTableClassName);
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Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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cleanContext(spark, contextId, verifyParam, inputPath, entityClazz, workingPath);
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});
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}
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private static <T extends Result> void cleanContext(SparkSession spark, String contextId, String verifyParam,
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String inputPath, Class<T> entityClazz, String workingPath) {
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Dataset<T> res = spark
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.read()
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.textFile(inputPath)
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.map(
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(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
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Encoders.bean(entityClazz));
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res.map((MapFunction<T, T>) r -> {
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if (!r
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.getTitle()
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.stream()
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.filter(
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t -> t
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.getQualifier()
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.getClassid()
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.equalsIgnoreCase(ModelConstants.MAIN_TITLE_QUALIFIER.getClassid()))
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.anyMatch(t -> t.getValue().toLowerCase().startsWith(verifyParam.toLowerCase()))) {
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return r;
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}
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r
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.setContext(
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r
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.getContext()
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.stream()
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.filter(
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c -> !c.getId().split("::")[0]
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.equalsIgnoreCase(contextId))
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.collect(Collectors.toList()));
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return r;
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}, Encoders.bean(entityClazz))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(workingPath);
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spark
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.read()
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.textFile(workingPath)
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.map(
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(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
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Encoders.bean(entityClazz))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(inputPath);
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}
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}
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