action to convert lambda file in seq file; spark action to download updated authors
parent
2b0c9bbb7e
commit
97c8111847
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package eu.dnetlib.doiboost.orcid;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.IOException;
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import java.text.SimpleDateFormat;
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import java.util.Date;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
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import org.apache.http.client.methods.CloseableHttpResponse;
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import org.apache.http.client.methods.HttpGet;
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import org.apache.http.impl.client.CloseableHttpClient;
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import org.apache.http.impl.client.HttpClients;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaPairRDD;
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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.api.java.function.Function;
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import org.apache.spark.util.LongAccumulator;
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import org.mortbay.log.Log;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.doiboost.orcid.model.DownloadedRecordData;
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import scala.Tuple2;
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public class SparkDownloadOrcidAuthors {
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static Logger logger = LoggerFactory.getLogger(SparkDownloadOrcidAuthors.class);
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static final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
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static final String lastUpdate = "2020-09-29 00:00:00";
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public static void main(String[] args) throws IOException, Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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SparkDownloadOrcidAuthors.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/doiboost/download_orcid_data.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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logger.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String workingPath = parser.get("workingPath");
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logger.info("workingPath: ", workingPath);
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final String outputPath = parser.get("outputPath");
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logger.info("outputPath: ", outputPath);
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final String token = parser.get("token");
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final String lambdaFileName = parser.get("lambdaFileName");
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logger.info("lambdaFileName: ", lambdaFileName);
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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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JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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LongAccumulator parsedRecordsAcc = spark.sparkContext().longAccumulator("parsedRecords");
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LongAccumulator modifiedRecordsAcc = spark.sparkContext().longAccumulator("modifiedRecords");
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LongAccumulator downloadedRecordsAcc = spark.sparkContext().longAccumulator("downloadedRecords");
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logger.info("Retrieving data from lamda sequence file");
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JavaPairRDD<Text, Text> lamdaFileRDD = sc
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.sequenceFile(workingPath + lambdaFileName, Text.class, Text.class);
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logger.info("Data retrieved: " + lamdaFileRDD.count());
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Function<Tuple2<Text, Text>, Boolean> isModifiedAfterFilter = data -> {
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String orcidId = data._1().toString();
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String lastModifiedDate = data._2().toString();
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parsedRecordsAcc.add(1);
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if (isModified(orcidId, lastModifiedDate)) {
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modifiedRecordsAcc.add(1);
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return true;
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}
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return false;
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};
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Function<Tuple2<Text, Text>, Tuple2<String, String>> downloadRecordFunction = data -> {
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String orcidId = data._1().toString();
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String lastModifiedDate = data._2().toString();
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final DownloadedRecordData downloaded = new DownloadedRecordData();
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downloaded.setOrcidId(orcidId);
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downloaded.setLastModifiedDate(lastModifiedDate);
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try (CloseableHttpClient client = HttpClients.createDefault()) {
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HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
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httpGet.addHeader("Accept", "application/vnd.orcid+xml");
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httpGet.addHeader("Authorization", String.format("Bearer %s", token));
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CloseableHttpResponse response = client.execute(httpGet);
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int statusCode = response.getStatusLine().getStatusCode();
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downloaded.setStatusCode(statusCode);
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if (statusCode != 200) {
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logger
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.info(
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"Downloading " + orcidId + " status code: "
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+ response.getStatusLine().getStatusCode());
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return downloaded.toTuple2();
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}
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downloadedRecordsAcc.add(1);
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long currentDownloaded = downloadedRecordsAcc.value();
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if ((currentDownloaded % 10000) == 0) {
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logger.info("Current downloaded: " + currentDownloaded);
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}
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downloaded
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.setCompressedData(
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ArgumentApplicationParser
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.compressArgument(IOUtils.toString(response.getEntity().getContent())));
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} catch (Throwable e) {
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logger.info("Downloading " + orcidId, e.getMessage());
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downloaded.setErrorMessage(e.getMessage());
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return downloaded.toTuple2();
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}
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return downloaded.toTuple2();
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};
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sc.hadoopConfiguration().set("mapreduce.output.fileoutputformat.compress", "true");
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logger.info("Start execution ...");
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// List<Tuple2<Text, Text>> sampleList = lamdaFileRDD.take(500);
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// JavaRDD<Tuple2<Text, Text>> sampleRDD = sc.parallelize(sampleList);
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// sampleRDD
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JavaPairRDD<Text, Text> authorsModifiedRDD = lamdaFileRDD
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.filter(isModifiedAfterFilter);
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logger.info("Authors modified count: " + authorsModifiedRDD.count());
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logger.info("Start downloading ...");
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authorsModifiedRDD
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.map(downloadRecordFunction)
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.mapToPair(t -> new Tuple2(new Text(t._1()), new Text(t._2())))
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.saveAsNewAPIHadoopFile(
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workingPath.concat(outputPath),
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Text.class,
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Text.class,
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SequenceFileOutputFormat.class,
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sc.hadoopConfiguration());
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logger.info("parsedRecordsAcc: " + parsedRecordsAcc.value().toString());
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logger.info("modifiedRecordsAcc: " + modifiedRecordsAcc.value().toString());
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logger.info("downloadedRecordsAcc: " + downloadedRecordsAcc.value().toString());
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});
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}
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private static boolean isModified(String orcidId, String modifiedDate) {
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Date modifiedDateDt = null;
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Date lastUpdateDt = null;
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try {
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if (modifiedDate.length() != 19) {
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modifiedDate = modifiedDate.substring(0, 19);
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}
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modifiedDateDt = new SimpleDateFormat(DATE_FORMAT).parse(modifiedDate);
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lastUpdateDt = new SimpleDateFormat(DATE_FORMAT).parse(lastUpdate);
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} catch (Exception e) {
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logger.info("[" + orcidId + "] Parsing date: ", e.getMessage());
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return true;
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}
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return modifiedDateDt.after(lastUpdateDt);
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}
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}
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@ -0,0 +1,99 @@
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package eu.dnetlib.doiboost.orcid;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.BufferedReader;
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import java.io.IOException;
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import java.io.InputStreamReader;
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import java.net.URI;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
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import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
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import org.apache.commons.compress.compressors.gzip.GzipCompressorInputStream;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FSDataInputStream;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.io.SequenceFile;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.spark.SparkConf;
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import org.mortbay.log.Log;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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public class SparkGenLastModifiedSeq {
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private static String hdfsServerUri;
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private static String workingPath;
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private static String outputPath;
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private static String lambdaFileName;
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public static void main(String[] args) throws IOException, Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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SparkGenLastModifiedSeq.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/doiboost/download_orcid_data.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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hdfsServerUri = parser.get("hdfsServerUri");
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workingPath = parser.get("workingPath");
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outputPath = parser.get("outputPath");
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lambdaFileName = parser.get("lambdaFileName");
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String lambdaFileUri = hdfsServerUri.concat(workingPath).concat(lambdaFileName);
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SparkConf sparkConf = new SparkConf();
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runWithSparkSession(
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sparkConf,
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isSparkSessionManaged,
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spark -> {
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int rowsNum = 0;
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Path output = new Path(
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hdfsServerUri
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.concat(workingPath)
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.concat(outputPath));
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Path hdfsreadpath = new Path(lambdaFileUri);
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Configuration conf = new Configuration();
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conf.set("fs.defaultFS", hdfsServerUri.concat(workingPath));
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conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
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conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());
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FileSystem fs = FileSystem.get(URI.create(hdfsServerUri.concat(workingPath)), conf);
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FSDataInputStream lambdaFileStream = fs.open(hdfsreadpath);
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try (TarArchiveInputStream tais = new TarArchiveInputStream(
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new GzipCompressorInputStream(lambdaFileStream))) {
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TarArchiveEntry entry = null;
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try (SequenceFile.Writer writer = SequenceFile
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.createWriter(
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conf,
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SequenceFile.Writer.file(output),
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SequenceFile.Writer.keyClass(Text.class),
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SequenceFile.Writer.valueClass(Text.class),
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SequenceFile.Writer.compression(SequenceFile.CompressionType.BLOCK, new GzipCodec()))) {
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while ((entry = tais.getNextTarEntry()) != null) {
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BufferedReader br = new BufferedReader(new InputStreamReader(tais));
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String line;
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while ((line = br.readLine()) != null) {
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String[] values = line.split(",");
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List<String> recordInfo = Arrays.asList(values);
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String orcidId = recordInfo.get(0);
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final Text key = new Text(orcidId);
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final Text value = new Text(recordInfo.get(3));
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writer.append(key, value);
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rowsNum++;
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}
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}
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}
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}
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Log.info("Saved rows from lamda csv tar file: " + rowsNum);
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});
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}
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}
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@ -1,165 +0,0 @@
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package eu.dnetlib.doiboost.orcid;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.IOException;
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import java.text.SimpleDateFormat;
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import java.util.Date;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.http.client.methods.CloseableHttpResponse;
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import org.apache.http.client.methods.HttpGet;
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import org.apache.http.impl.client.CloseableHttpClient;
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import org.apache.http.impl.client.HttpClients;
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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.api.java.function.Function;
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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.util.LongAccumulator;
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import org.mortbay.log.Log;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.doiboost.orcid.model.DownloadedRecordData;
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import scala.Tuple2;
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public class SparkOrcidGenerateAuthors {
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static final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
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static final String lastUpdate = "2019-09-30 00:00:00";
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public static void main(String[] args) throws IOException, Exception {
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Logger logger = LoggerFactory.getLogger(SparkOrcidGenerateAuthors.class);
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logger.info("[ SparkOrcidGenerateAuthors STARTED]");
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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SparkOrcidGenerateAuthors.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/doiboost/gen_orcid_authors_parameters.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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logger.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String workingPath = parser.get("workingPath");
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logger.info("workingPath: ", workingPath);
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final String outputAuthorsPath = parser.get("outputAuthorsPath");
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logger.info("outputAuthorsPath: ", outputAuthorsPath);
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final String token = parser.get("token");
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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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JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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LongAccumulator parsedRecordsAcc = sc.sc().longAccumulator("parsedRecords");
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LongAccumulator modifiedRecordsAcc = sc.sc().longAccumulator("modifiedRecords");
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LongAccumulator downloadedRecordsAcc = sc.sc().longAccumulator("downloadedRecords");
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LongAccumulator alreadyDownloadedRecords = sc.sc().longAccumulator("alreadyDownloadedRecords");
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JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "lamdafiles");
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JavaRDD<String> downloadedRDD = sc.textFile(workingPath + "downloaded");
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Function<String, String> getOrcidIdFunction = line -> {
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try {
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String[] values = line.split(",");
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return values[0].substring(1);
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} catch (Exception e) {
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return new String("");
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}
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};
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List<String> downloadedRecords = downloadedRDD.map(getOrcidIdFunction).collect();
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Function<String, Boolean> isModifiedAfterFilter = line -> {
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String[] values = line.split(",");
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String orcidId = values[0];
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parsedRecordsAcc.add(1);
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if (isModified(orcidId, values[3])) {
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modifiedRecordsAcc.add(1);
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return true;
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}
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return false;
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};
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Function<String, Boolean> isNotDownloadedFilter = line -> {
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String[] values = line.split(",");
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String orcidId = values[0];
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if (downloadedRecords.contains(orcidId)) {
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alreadyDownloadedRecords.add(1);
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return false;
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}
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return true;
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};
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Function<String, Tuple2<String, String>> downloadRecordFunction = line -> {
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String[] values = line.split(",");
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String orcidId = values[0];
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String modifiedDate = values[3];
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return downloadRecord(orcidId, modifiedDate, token, downloadedRecordsAcc);
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};
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lamdaFileRDD
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.filter(isModifiedAfterFilter)
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.filter(isNotDownloadedFilter)
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.map(downloadRecordFunction)
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.rdd()
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.saveAsTextFile(workingPath.concat(outputAuthorsPath));
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});
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}
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private static boolean isModified(String orcidId, String modifiedDate) {
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Date modifiedDateDt = null;
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Date lastUpdateDt = null;
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try {
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if (modifiedDate.length() != 19) {
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modifiedDate = modifiedDate.substring(0, 19);
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}
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modifiedDateDt = new SimpleDateFormat(DATE_FORMAT).parse(modifiedDate);
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lastUpdateDt = new SimpleDateFormat(DATE_FORMAT).parse(lastUpdate);
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} catch (Exception e) {
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Log.warn("[" + orcidId + "] Parsing date: ", e.getMessage());
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return true;
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}
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return modifiedDateDt.after(lastUpdateDt);
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}
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private static Tuple2<String, String> downloadRecord(String orcidId, String modifiedDate, String token,
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LongAccumulator downloadedRecordsAcc) {
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final DownloadedRecordData data = new DownloadedRecordData();
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data.setOrcidId(orcidId);
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data.setModifiedDate(modifiedDate);
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try (CloseableHttpClient client = HttpClients.createDefault()) {
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HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
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httpGet.addHeader("Accept", "application/vnd.orcid+xml");
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httpGet.addHeader("Authorization", String.format("Bearer %s", token));
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CloseableHttpResponse response = client.execute(httpGet);
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int statusCode = response.getStatusLine().getStatusCode();
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data.setStatusCode(statusCode);
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if (statusCode != 200) {
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Log
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.warn(
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"Downloading " + orcidId + " status code: " + response.getStatusLine().getStatusCode());
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return data.toTuple2();
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}
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downloadedRecordsAcc.add(1);
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data
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.setCompressedData(
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ArgumentApplicationParser.compressArgument(IOUtils.toString(response.getEntity().getContent())));
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} catch (Throwable e) {
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Log.warn("Downloading " + orcidId, e.getMessage());
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data.setErrorMessage(e.getMessage());
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return data.toTuple2();
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}
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return data.toTuple2();
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}
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}
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@ -1,50 +0,0 @@
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package eu.dnetlib.doiboost.orcid;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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||||
|
||||
import java.io.IOException;
|
||||
import java.util.Optional;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
import org.apache.spark.api.java.JavaRDD;
|
||||
import org.apache.spark.api.java.JavaSparkContext;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
|
||||
public class SparkPartitionLambdaFile {
|
||||
|
||||
public static void main(String[] args) throws IOException, Exception {
|
||||
Logger logger = LoggerFactory.getLogger(SparkOrcidGenerateAuthors.class);
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
SparkOrcidGenerateAuthors.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/doiboost/gen_orcid_authors_parameters.json")));
|
||||
parser.parseArgument(args);
|
||||
Boolean isSparkSessionManaged = Optional
|
||||
.ofNullable(parser.get("isSparkSessionManaged"))
|
||||
.map(Boolean::valueOf)
|
||||
.orElse(Boolean.TRUE);
|
||||
final String workingPath = parser.get("workingPath");
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
runWithSparkSession(
|
||||
conf,
|
||||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "last_modified.csv");
|
||||
|
||||
lamdaFileRDD
|
||||
.repartition(20)
|
||||
.saveAsTextFile(workingPath.concat("lamdafiles"));
|
||||
});
|
||||
}
|
||||
|
||||
}
|
||||
@ -1,4 +0,0 @@
|
||||
[{"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the working path", "paramRequired": true},
|
||||
{"paramName":"t", "paramLongName":"token", "paramDescription": "token to grant access", "paramRequired": true},
|
||||
{"paramName":"o", "paramLongName":"outputAuthorsPath", "paramDescription": "the relative folder of the sequencial file to write the authors data", "paramRequired": true}
|
||||
]
|
||||
@ -1,22 +0,0 @@
|
||||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>hadoop-rm3.garr-pa1.d4science.org:8032</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>hdfs://hadoop-rm1.garr-pa1.d4science.org:8020</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>queueName</name>
|
||||
<value>default</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
</configuration>
|
||||
@ -1,83 +0,0 @@
|
||||
<workflow-app name="Gen Orcid Authors" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>workingPath</name>
|
||||
<description>the working dir base path</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>token</name>
|
||||
<description>access token</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<description>memory for driver process</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorMemory</name>
|
||||
<description>memory for individual executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorCores</name>
|
||||
<description>number of cores used by single executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>the working dir base path</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="ResetWorkingPath"/>
|
||||
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="ResetWorkingPath">
|
||||
<fs>
|
||||
<delete path='${workingPath_activities}/authors'/>
|
||||
</fs>
|
||||
<ok to="Gen_Orcid_Authors"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="Split_Lambda_File">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Split_Lambda_File</name>
|
||||
<class>eu.dnetlib.doiboost.orcid.SparkPartitionLambdaFile</class>
|
||||
<jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
|
||||
<spark-opts>--num-executors 24 --conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2" --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
|
||||
</spark-opts>
|
||||
<arg>-w</arg><arg>${workingPath}/</arg>
|
||||
<arg>-o</arg><arg>authors/</arg>
|
||||
<arg>-t</arg><arg>${token}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="Gen_Orcid_Authors">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Gen_Orcid_Authors</name>
|
||||
<class>eu.dnetlib.doiboost.orcid.SparkOrcidGenerateAuthors</class>
|
||||
<jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
|
||||
<spark-opts>--num-executors 20 --conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2" --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
|
||||
</spark-opts>
|
||||
<arg>-w</arg><arg>${workingPath}/</arg>
|
||||
<arg>-o</arg><arg>authors/</arg>
|
||||
<arg>-t</arg><arg>${token}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
||||
@ -1 +0,0 @@
|
||||
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
|
||||
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue