added accumulator; last modified date of the record is added to saved data; lambda file is partitioned into 20 parts before starting downloading
This commit is contained in:
parent
0b29bb7e3b
commit
fc80e8c7de
|
@ -6,6 +6,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
|||
import java.io.IOException;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
|
@ -20,6 +21,7 @@ import org.apache.spark.api.java.JavaSparkContext;
|
|||
import org.apache.spark.api.java.function.Function;
|
||||
import org.apache.spark.sql.Encoders;
|
||||
import org.apache.spark.sql.SaveMode;
|
||||
import org.apache.spark.util.LongAccumulator;
|
||||
import org.mortbay.log.Log;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
@ -61,23 +63,53 @@ public class SparkOrcidGenerateAuthors {
|
|||
isSparkSessionManaged,
|
||||
spark -> {
|
||||
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||
JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "last_modified.csv");
|
||||
|
||||
LongAccumulator parsedRecordsAcc = sc.sc().longAccumulator("parsedRecords");
|
||||
LongAccumulator modifiedRecordsAcc = sc.sc().longAccumulator("modifiedRecords");
|
||||
LongAccumulator downloadedRecordsAcc = sc.sc().longAccumulator("downloadedRecords");
|
||||
LongAccumulator alreadyDownloadedRecords = sc.sc().longAccumulator("alreadyDownloadedRecords");
|
||||
JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "lamdafiles");
|
||||
|
||||
JavaRDD<String> downloadedRDD = sc.textFile(workingPath + "downloaded");
|
||||
Function<String, String> getOrcidIdFunction = line -> {
|
||||
try {
|
||||
String[] values = line.split(",");
|
||||
return values[0].substring(1);
|
||||
} catch (Exception e) {
|
||||
return new String("");
|
||||
}
|
||||
};
|
||||
List<String> downloadedRecords = downloadedRDD.map(getOrcidIdFunction).collect();
|
||||
|
||||
Function<String, Boolean> isModifiedAfterFilter = line -> {
|
||||
String[] values = line.split(",");
|
||||
String orcidId = values[0];
|
||||
parsedRecordsAcc.add(1);
|
||||
if (isModified(orcidId, values[3])) {
|
||||
modifiedRecordsAcc.add(1);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
};
|
||||
Function<String, Boolean> isNotDownloadedFilter = line -> {
|
||||
String[] values = line.split(",");
|
||||
String orcidId = values[0];
|
||||
if (downloadedRecords.contains(orcidId)) {
|
||||
alreadyDownloadedRecords.add(1);
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
};
|
||||
Function<String, Tuple2<String, String>> downloadRecordFunction = line -> {
|
||||
String[] values = line.split(",");
|
||||
String orcidId = values[0];
|
||||
return downloadRecord(orcidId, token);
|
||||
String modifiedDate = values[3];
|
||||
return downloadRecord(orcidId, modifiedDate, token, downloadedRecordsAcc);
|
||||
};
|
||||
|
||||
lamdaFileRDD
|
||||
.filter(isModifiedAfterFilter)
|
||||
.filter(isNotDownloadedFilter)
|
||||
.map(downloadRecordFunction)
|
||||
.rdd()
|
||||
.saveAsTextFile(workingPath.concat(outputAuthorsPath));
|
||||
|
@ -101,9 +133,11 @@ public class SparkOrcidGenerateAuthors {
|
|||
return modifiedDateDt.after(lastUpdateDt);
|
||||
}
|
||||
|
||||
private static Tuple2<String, String> downloadRecord(String orcidId, String token) {
|
||||
private static Tuple2<String, String> downloadRecord(String orcidId, String modifiedDate, String token,
|
||||
LongAccumulator downloadedRecordsAcc) {
|
||||
final DownloadedRecordData data = new DownloadedRecordData();
|
||||
data.setOrcidId(orcidId);
|
||||
data.setModifiedDate(modifiedDate);
|
||||
try (CloseableHttpClient client = HttpClients.createDefault()) {
|
||||
HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
|
||||
httpGet.addHeader("Accept", "application/vnd.orcid+xml");
|
||||
|
@ -117,6 +151,7 @@ public class SparkOrcidGenerateAuthors {
|
|||
"Downloading " + orcidId + " status code: " + response.getStatusLine().getStatusCode());
|
||||
return data.toTuple2();
|
||||
}
|
||||
downloadedRecordsAcc.add(1);
|
||||
data
|
||||
.setCompressedData(
|
||||
ArgumentApplicationParser.compressArgument(IOUtils.toString(response.getEntity().getContent())));
|
||||
|
|
|
@ -0,0 +1,50 @@
|
|||
|
||||
package eu.dnetlib.doiboost.orcid;
|
||||
|
||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||
|
||||
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"));
|
||||
});
|
||||
}
|
||||
|
||||
}
|
|
@ -12,6 +12,7 @@ import scala.Tuple2;
|
|||
public class DownloadedRecordData implements Serializable {
|
||||
|
||||
private String orcidId;
|
||||
private String modifiedDate;
|
||||
private String statusCode;
|
||||
private String compressedData;
|
||||
private String errorMessage;
|
||||
|
@ -19,6 +20,7 @@ public class DownloadedRecordData implements Serializable {
|
|||
public Tuple2<String, String> toTuple2() {
|
||||
JsonObject data = new JsonObject();
|
||||
data.addProperty("statusCode", getStatusCode());
|
||||
data.addProperty("modifiedDate", getModifiedDate());
|
||||
if (getCompressedData() != null) {
|
||||
data.addProperty("compressedData", getCompressedData());
|
||||
}
|
||||
|
@ -45,7 +47,11 @@ public class DownloadedRecordData implements Serializable {
|
|||
}
|
||||
|
||||
public int getStatusCode() {
|
||||
return Integer.parseInt(statusCode);
|
||||
try {
|
||||
return Integer.parseInt(statusCode);
|
||||
} catch (Exception e) {
|
||||
return -2;
|
||||
}
|
||||
}
|
||||
|
||||
public void setStatusCode(int statusCode) {
|
||||
|
@ -60,4 +66,11 @@ public class DownloadedRecordData implements Serializable {
|
|||
this.compressedData = compressedData;
|
||||
}
|
||||
|
||||
public String getModifiedDate() {
|
||||
return modifiedDate;
|
||||
}
|
||||
|
||||
public void setModifiedDate(String modifiedDate) {
|
||||
this.modifiedDate = modifiedDate;
|
||||
}
|
||||
}
|
||||
|
|
|
@ -37,14 +37,14 @@
|
|||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="Gen_Orcid_Authors">
|
||||
<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>Gen_Orcid_Authors</name>
|
||||
<class>eu.dnetlib.doiboost.orcid.SparkOrcidGenerateAuthors</class>
|
||||
<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=${sparkDriverMemory}
|
||||
</spark-opts>
|
||||
|
@ -56,5 +56,24 @@
|
|||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="Gen_Orcid_Authors">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<job-tracker>${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>
|
Loading…
Reference in New Issue