usage-raw-data workflow - refactoring

This commit is contained in:
xnidis 2025-06-04 14:06:07 +03:00
parent 6ede4143a3
commit ba33cd61d7
14 changed files with 285 additions and 253 deletions

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@ -16,7 +16,6 @@ import javax.xml.transform.*;
import javax.xml.transform.dom.DOMSource;
import javax.xml.transform.stream.StreamResult;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.util.LongAccumulator;
import org.dom4j.Document;
@ -43,6 +42,7 @@ import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
public class XmlRecordFactory implements Serializable {

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@ -7,8 +7,6 @@ import java.io.IOException;
import java.io.StringReader;
import java.util.List;
import eu.dnetlib.dhp.oa.provision.utils.ContextDef;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import org.apache.commons.io.IOUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
@ -23,8 +21,10 @@ import com.google.common.collect.Lists;
import eu.dnetlib.dhp.oa.provision.model.JoinedEntity;
import eu.dnetlib.dhp.oa.provision.model.RelatedEntity;
import eu.dnetlib.dhp.oa.provision.model.RelatedEntityWrapper;
import eu.dnetlib.dhp.oa.provision.utils.ContextDef;
import eu.dnetlib.dhp.oa.provision.utils.ContextMapper;
import eu.dnetlib.dhp.oa.provision.utils.XmlRecordFactory;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Relation;
@ -137,17 +137,18 @@ public class XmlRecordFactoryTest {
@Test
public void testEnermapsRecord() throws IOException, DocumentException {
String contextmap = "<entries><entry id=\"enermaps\" label=\"Energy Research\" name=\"context\" type=\"community\"/>" +
"<entry id=\"enermaps::selection\" label=\"Featured dataset\" name=\"category\"/>"+
"<entry id=\"enermaps::selection::tgs00004\" label=\"Dataset title\" name=\"concept\"/>"+
"</entries>";
String contextmap = "<entries><entry id=\"enermaps\" label=\"Energy Research\" name=\"context\" type=\"community\"/>"
+
"<entry id=\"enermaps::selection\" label=\"Featured dataset\" name=\"category\"/>" +
"<entry id=\"enermaps::selection::tgs00004\" label=\"Dataset title\" name=\"concept\"/>" +
"</entries>";
ContextMapper contextMapper = ContextMapper.fromXml(contextmap);
XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false, XmlConverterJob.schemaLocation,
otherDsTypeId);
otherDsTypeId);
Dataset d = OBJECT_MAPPER
.readValue(IOUtils.toString(getClass().getResourceAsStream("enermaps.json")), Dataset.class);
.readValue(IOUtils.toString(getClass().getResourceAsStream("enermaps.json")), Dataset.class);
JoinedEntity je = new JoinedEntity<>(d);

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@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>dhp-usage-raw-data-update</artifactId>
@ -39,20 +39,18 @@
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<cdh.hive.version>0.13.1-cdh5.2.1</cdh.hive.version>
<cdh.hadoop.version>2.5.0-cdh5.2.1</cdh.hadoop.version>
<cdh.hive.version>1.1.0-cdh5.16.2</cdh.hive.version>
<cdh.hadoop.version>2.6.0-cdh5.16.2</cdh.hadoop.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.2.0</version>
<artifactId>spark-core_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>2.4.5</version>
<artifactId>spark-sql_${scala.binary.version}</artifactId>
</dependency>
<dependency>
<groupId>com.googlecode.json-simple</groupId>
@ -74,7 +72,13 @@
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${cdh.hadoop.version}</version>
</dependency>
<exclusions>
<exclusion>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-common</artifactId>

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@ -7,16 +7,8 @@
package eu.dnetlib.oa.graph.usagerawdata.export;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.Properties;
import org.apache.log4j.Logger;
/**
* @author D. Pierrakos, S. Zoupanos
*/
/**
* @author D. Pierrakos, S. Zoupanos
*/
@ -31,7 +23,9 @@ public abstract class ConnectDB {
private static String dbImpalaUrl;
private static String usageStatsDBSchema;
private static String statsDBSchema;
private final static Logger log = Logger.getLogger(ConnectDB.class);
private ConnectDB() {
}
static void init() throws ClassNotFoundException {
@ -72,10 +66,6 @@ public abstract class ConnectDB {
}
private static Connection connectHive() throws SQLException {
/*
* Connection connection = DriverManager.getConnection(dbHiveUrl); Statement stmt =
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
*/
ComboPooledDataSource cpds = new ComboPooledDataSource();
cpds.setJdbcUrl(dbHiveUrl);
cpds.setAcquireIncrement(1);
@ -97,10 +87,6 @@ public abstract class ConnectDB {
}
private static Connection connectImpala() throws SQLException {
/*
* Connection connection = DriverManager.getConnection(dbImpalaUrl); Statement stmt =
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
*/
ComboPooledDataSource cpds = new ComboPooledDataSource();
cpds.setJdbcUrl(dbImpalaUrl);
cpds.setAcquireIncrement(1);

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@ -70,11 +70,11 @@ public class ExecuteWorkflow {
BasicConfigurator.configure();
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
UsageStatsExporter.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/usagerawdata/export/usagerawdata_parameters.json")));
IOUtils
.toString(
UsageStatsExporter.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/usagerawdata/export/usagerawdata_parameters.json")));
parser.parseArgument(args);
// Setting up the initial parameters

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@ -49,9 +49,9 @@ public class IrusStats {
logger.info("Creating sushilog");
Statement stmt = ConnectDB.getHiveConnection().createStatement();
String sqlCreateTableSushiLog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
+ ".sushilog(source STRING, "
+ "repository STRING, rid STRING, date STRING, metric_type STRING, count INT) clustered by (source, "
+ "repository, rid, date, metric_type) into 100 buckets stored as orc tblproperties('transactional'='true')";
+ ".sushilog(source STRING, "
+ "repository STRING, rid STRING, date STRING, metric_type STRING, count INT) clustered by (source, "
+ "repository, rid, date, metric_type) into 100 buckets stored as orc tblproperties('transactional'='true')";
stmt.executeUpdate(sqlCreateTableSushiLog);
logger.info("Created sushilog");
@ -74,70 +74,70 @@ public class IrusStats {
logger.info("Dropping sushilogtmp_json table");
String dropSushilogtmpJson = "DROP TABLE IF EXISTS "
+ ConnectDB.getUsageStatsDBSchema()
+ ".sushilogtmp_json";
+ ConnectDB.getUsageStatsDBSchema()
+ ".sushilogtmp_json";
stmt.executeUpdate(dropSushilogtmpJson);
logger.info("Dropped sushilogtmp_json table");
logger.info("Creating irus_sushilogtmp_json table");
String createSushilogtmpJson = "CREATE EXTERNAL TABLE IF NOT EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json(\n"
+ " `ItemIdentifier` ARRAY<\n"
+ " struct<\n"
+ " Type: STRING,\n"
+ " Value: STRING\n"
+ " >\n"
+ " >,\n"
+ " `ItemPerformance` ARRAY<\n"
+ " struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >\n"
+ " >\n"
+ ")\n"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + ExecuteWorkflow.irusUKReportPath + "'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
+ ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json(\n"
+ " `ItemIdentifier` ARRAY<\n"
+ " struct<\n"
+ " Type: STRING,\n"
+ " Value: STRING\n"
+ " >\n"
+ " >,\n"
+ " `ItemPerformance` ARRAY<\n"
+ " struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >\n"
+ " >\n"
+ ")\n"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + ExecuteWorkflow.irusUKReportPath + "'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
stmt.executeUpdate(createSushilogtmpJson);
logger.info("Created irus_sushilogtmp_json table");
logger.info("Dropping irus_sushilogtmp table");
String dropSushilogtmp = "DROP TABLE IF EXISTS "
+ ConnectDB.getUsageStatsDBSchema()
+ ".irus_sushilogtmp";
+ ConnectDB.getUsageStatsDBSchema()
+ ".irus_sushilogtmp";
stmt.executeUpdate(dropSushilogtmp);
logger.info("Dropped irus_sushilogtmp table");
logger.info("Creating irus_sushilogtmp table");
String createSushilogtmp = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema()
+ ".irus_sushilogtmp(source STRING, repository STRING, "
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
+ "tblproperties('transactional'='true')";
+ ".irus_sushilogtmp(source STRING, repository STRING, "
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
+ "tblproperties('transactional'='true')";
stmt.executeUpdate(createSushilogtmp);
logger.info("Created irus_sushilogtmp table");
logger.info("Inserting to irus_sushilogtmp table");
String insertSushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp "
+ "SELECT 'IRUS-UK', CONCAT('opendoar____::', split(split(INPUT__FILE__NAME,'IrusIRReport_')[1],'_')[0]), "
+ "`ItemIdent`.`Value`, `ItemPerf`.`Period`.`Begin`, "
+ "`ItemPerf`.`Instance`.`MetricType`, `ItemPerf`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json "
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
+ "LATERAL VIEW posexplode(ItemPerformance) ItemPerformanceTable AS seqp, ItemPerf "
+ "WHERE `ItemIdent`.`Type`= 'OAI'";
+ "SELECT 'IRUS-UK', CONCAT('opendoar____::', split(split(INPUT__FILE__NAME,'IrusIRReport_')[1],'_')[0]), "
+ "`ItemIdent`.`Value`, `ItemPerf`.`Period`.`Begin`, "
+ "`ItemPerf`.`Instance`.`MetricType`, `ItemPerf`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json "
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
+ "LATERAL VIEW posexplode(ItemPerformance) ItemPerformanceTable AS seqp, ItemPerf "
+ "WHERE `ItemIdent`.`Type`= 'OAI'";
stmt.executeUpdate(insertSushilogtmp);
logger.info("Inserted to irus_sushilogtmp table");
logger.info("Inserting to sushilog table");
String insertToShushilog = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sushilog SELECT * FROM "
+ ConnectDB.getUsageStatsDBSchema()
+ ".irus_sushilogtmp";
+ ConnectDB.getUsageStatsDBSchema()
+ ".irus_sushilogtmp";
stmt.executeUpdate(insertToShushilog);
logger.info("Inserted to sushilog table");
@ -155,8 +155,8 @@ public class IrusStats {
logger.info("(getIrusRRReport) Ending period for log download: {}", YYYY_MM_FORMAT.format(end));
String reportUrl = irusUKURL + "GetReport/?Report=RR1&Release=4&RequestorID=OpenAIRE&BeginDate="
+ YYYY_MM_FORMAT.format(start) + "&EndDate=" + YYYY_MM_FORMAT.format(end)
+ "&RepositoryIdentifier=&ItemDataType=&NewJiscBand=&Granularity=Monthly&Callback=";
+ YYYY_MM_FORMAT.format(start) + "&EndDate=" + YYYY_MM_FORMAT.format(end)
+ "&RepositoryIdentifier=&ItemDataType=&NewJiscBand=&Granularity=Monthly&Callback=";
logger.info("(getIrusRRReport) Getting report: {}", reportUrl);
String text = getJson(reportUrl, "", "");
@ -188,7 +188,7 @@ public class IrusStats {
logger.info("(getIrusRRReport) Found the following opendoars for download: {}", opendoarsToVisit);
if (ExecuteWorkflow.irusNumberOfOpendoarsToDownload > 0
&& ExecuteWorkflow.irusNumberOfOpendoarsToDownload <= opendoarsToVisit.size()) {
&& ExecuteWorkflow.irusNumberOfOpendoarsToDownload <= opendoarsToVisit.size()) {
logger.info("Trimming siteIds list to the size of: " + ExecuteWorkflow.irusNumberOfOpendoarsToDownload);
opendoarsToVisit = opendoarsToVisit.subList(0, ExecuteWorkflow.irusNumberOfOpendoarsToDownload);
}
@ -217,9 +217,9 @@ public class IrusStats {
logger.info("(getIrusIRReport) Ending period for log download: {}", YYYY_MM_FORMAT.format(end));
PreparedStatement st = ConnectDB
.getHiveConnection()
.prepareStatement(
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
.getHiveConnection()
.prepareStatement(
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
st.setString(1, "opendoar____::" + opendoar);
ResultSet rs_date = st.executeQuery();
@ -240,16 +240,16 @@ public class IrusStats {
start = start.plusMonths(1);
while (start.isBefore(end)) {
String reportUrl = this.irusUKURL + "GetReport/?Report=IR1&Release=4&RequestorID=OpenAIRE&BeginDate="
+ YYYY_MM_FORMAT.format(start) + "&EndDate=" + YYYY_MM_FORMAT.format(start)
+ "&RepositoryIdentifier=opendoar%3A" + opendoar
+ "&ItemIdentifier=&ItemDataType=&hasDOI=&Granularity=Monthly&Callback=";
+ YYYY_MM_FORMAT.format(start) + "&EndDate=" + YYYY_MM_FORMAT.format(start)
+ "&RepositoryIdentifier=opendoar%3A" + opendoar
+ "&ItemIdentifier=&ItemDataType=&hasDOI=&Granularity=Monthly&Callback=";
start = start.plusMonths(1);
String text = getJson(reportUrl, "", "");
if (text == null)
continue;
FileSystem fs = FileSystem.get(new Configuration());
String filePath = irusUKReportPath + "/" + "IrusIRReport_" + opendoar + "_" + YYYY_MM_FORMAT.format(start)
+ ".json";
+ ".json";
logger.info("Storing to file: {}", filePath);
FSDataOutputStream fin = fs.create(new Path(filePath), true);

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@ -1,6 +1,8 @@
package eu.dnetlib.oa.graph.usagerawdata.export;
import static eu.dnetlib.oa.graph.usagerawdata.export.ExecuteWorkflow.numberOfDaysToProcess;
import java.io.*;
import java.net.URL;
import java.net.URLConnection;
@ -23,8 +25,6 @@ import org.json.simple.parser.JSONParser;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static eu.dnetlib.oa.graph.usagerawdata.export.ExecuteWorkflow.numberOfDaysToProcess;
public class LaReferenciaDownloadLogs {
private final String piwikUrl;
@ -65,11 +65,11 @@ public class LaReferenciaDownloadLogs {
logger.info("Creating LaReferencia tables");
String sqlCreateTableLareferenciaLog = "CREATE TABLE IF NOT EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, "
+ "source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, "
+ "source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) "
+ "clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets "
+ "stored as orc tblproperties('transactional'='true')";
+ ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, "
+ "source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, "
+ "source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) "
+ "clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets "
+ "stored as orc tblproperties('transactional'='true')";
stmt.executeUpdate(sqlCreateTableLareferenciaLog);
logger.info("Created LaReferencia tables");
@ -127,7 +127,7 @@ public class LaReferenciaDownloadLogs {
logger.info("Found the following siteIds for download: " + siteIdsToVisit);
if (ExecuteWorkflow.numberOfPiwikIdsToDownload > 0
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= siteIdsToVisit.size()) {
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= siteIdsToVisit.size()) {
logger.info("Trimming siteIds list to the size of: " + ExecuteWorkflow.numberOfPiwikIdsToDownload);
siteIdsToVisit = siteIdsToVisit.subList(0, ExecuteWorkflow.numberOfPiwikIdsToDownload);
}
@ -145,10 +145,10 @@ public class LaReferenciaDownloadLogs {
// Get the latest timestamp from the logs
PreparedStatement st = ConnectDB
.getHiveConnection()
.prepareStatement(
"SELECT max(timestamp) FROM " + ConnectDB.getUsageStatsDBSchema()
+ ".lareferencialog WHERE matomoid=?");
.getHiveConnection()
.prepareStatement(
"SELECT max(timestamp) FROM " + ConnectDB.getUsageStatsDBSchema()
+ ".lareferencialog WHERE matomoid=?");
st.setInt(1, laReferencialMatomoID);
ResultSet rs_date = st.executeQuery();
@ -168,27 +168,27 @@ public class LaReferenciaDownloadLogs {
for (LocalDate currentDay = start; !currentDay.isAfter(end); currentDay = currentDay.plusDays(1)) {
if (dateMax != null && !currentDay.isAfter(dateMax)) {
logger
.info(
"Date found in logs " + dateMax + " and not downloading Matomo logs for "
+ laReferencialMatomoID);
.info(
"Date found in logs " + dateMax + " and not downloading Matomo logs for "
+ laReferencialMatomoID);
continue;
}
logger
.info(
"Downloading logs for LaReferencia repoid {} and for {}", laReferencialMatomoID,
currentDay.format(YYYY_MM_DD_FORMAT));
.info(
"Downloading logs for LaReferencia repoid {} and for {}", laReferencialMatomoID,
currentDay.format(YYYY_MM_DD_FORMAT));
String period = "&period=day&date=" + currentDay.format(YYYY_MM_DD_FORMAT);
String outFolder = repoLogsPath;
FileSystem fs = FileSystem.get(new Configuration());
String filename = outFolder + "/" + laReferencialMatomoID + "_LaRefPiwiklog"
+ currentDay.format(YYYY_MM_DD_FORMAT) + ".json";
+ currentDay.format(YYYY_MM_DD_FORMAT) + ".json";
FSDataOutputStream fin = fs.create(new Path(filename), true);
String baseApiUrl = getPiwikLogUrl() + APImethod + "&idSite=" + laReferencialMatomoID + period + format
+ "&expanded=5&filter_limit=10&token_auth=" + tokenAuth;
+ "&expanded=5&filter_limit=10&token_auth=" + tokenAuth;
int i = 0;
String content;
@ -213,9 +213,9 @@ public class LaReferenciaDownloadLogs {
}
logger
.info(
"Downloaded part " + i + " of logs for LaReferencia repoid " + laReferencialMatomoID
+ " and for " + currentDay.format(YYYY_MM_DD_FORMAT));
.info(
"Downloaded part " + i + " of logs for LaReferencia repoid " + laReferencialMatomoID
+ " and for " + currentDay.format(YYYY_MM_DD_FORMAT));
i++;
} while (true);
@ -241,9 +241,9 @@ public class LaReferenciaDownloadLogs {
logger.info("Starting period for log download: {}", YYYY_MM_DD_FORMAT.format(start));
logger
.info(
"Ending period for log download ({} days or yesterday): {}", numberOfDaysToProcess,
YYYY_MM_DD_FORMAT.format(end));
.info(
"Ending period for log download ({} days or yesterday): {}", numberOfDaysToProcess,
YYYY_MM_DD_FORMAT.format(end));
}
}

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@ -24,6 +24,9 @@ import org.json.simple.parser.JSONParser;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author D. Pierrakos, S. Zoupanos
*/
public class LaReferenciaStats {
private static final Logger logger = LoggerFactory.getLogger(LaReferenciaStats.class);
@ -38,8 +41,13 @@ public class LaReferenciaStats {
public LaReferenciaStats(String logRepoPath) throws Exception {
this.logRepoPath = logRepoPath;
this.createTables();
// this.createTmpTables();
}
/*
* private void connectDB() throws Exception { try { ConnectDB connectDB = new ConnectDB(); } catch (Exception e) {
* log.error("Connect to db failed: " + e); throw new Exception("Failed to connect to db: " + e.toString(), e); } }
*/
private void createTables() throws Exception {
try {
Statement stmt = ConnectDB.getHiveConnection().createStatement();
@ -61,6 +69,7 @@ public class LaReferenciaStats {
} catch (Exception e) {
logger.error("Failed to create tables: " + e);
throw new Exception("Failed to create tables: " + e.toString(), e);
// System.exit(0);
}
}
@ -204,7 +213,7 @@ public class LaReferenciaStats {
// conn.close();
}
private void updateProdTables() throws SQLException {
private void updateProdTables() throws SQLException, Exception {
Statement stmt = ConnectDB.getHiveConnection().createStatement();
ConnectDB.getHiveConnection().setAutoCommit(false);
@ -269,6 +278,8 @@ public class LaReferenciaStats {
if (result.equals("")) {
result = "[]";
}
// fs.close();
} catch (Exception e) {
logger.error(e.getMessage());
throw new Exception(e);

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@ -1,6 +1,8 @@
package eu.dnetlib.oa.graph.usagerawdata.export;
import static eu.dnetlib.oa.graph.usagerawdata.export.ExecuteWorkflow.numberOfDaysToProcess;
import java.io.*;
import java.net.URL;
import java.net.URLConnection;
@ -27,8 +29,6 @@ import org.json.simple.parser.JSONParser;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static eu.dnetlib.oa.graph.usagerawdata.export.ExecuteWorkflow.numberOfDaysToProcess;
public class PiwikDownloadLogs {
private final String piwikUrl;
@ -42,7 +42,7 @@ public class PiwikDownloadLogs {
Map<Integer, List<LocalDateTime>> siteIdsWithNoDataDates = new HashMap<>();
private static final DateTimeFormatter YYYY_MM_DD_HH_MM_SS_FORMAT = DateTimeFormatter
.ofPattern("yyyy-MM-dd HH:mm:ss");
.ofPattern("yyyy-MM-dd HH:mm:ss");
private static final DateTimeFormatter YYYY_MM_DD_DATE_FORMAT = DateTimeFormatter.ofPattern("yyyy-MM-dd");
// Get start/end period
@ -59,11 +59,13 @@ public class PiwikDownloadLogs {
}
public void getOpenAIRELogs(String repoLogsPath, String portalLogPath, String portalMatomoID) throws Exception {
logger.info("### numberOfDaysToProcess: {}", numberOfDaysToProcess);
Statement statement = ConnectDB.getHiveConnection().createStatement();
ResultSet rs = statement
.executeQuery(
"SELECT distinct piwik_id from " + ConnectDB.getStatsDBSchema()
+ ".datasource where piwik_id is not null and piwik_id <> 0 order by piwik_id");
.executeQuery(
"SELECT distinct piwik_id from " + ConnectDB.getStatsDBSchema()
+ ".datasource where piwik_id is not null and piwik_id <> 0 order by piwik_id");
List<Integer> piwikIdToVisit = new ArrayList<>();
while (rs.next()) {
@ -72,7 +74,7 @@ public class PiwikDownloadLogs {
logger.info("Found the following piwikIds for download: {}", piwikIdToVisit);
if (ExecuteWorkflow.numberOfPiwikIdsToDownload > 0
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= piwikIdToVisit.size()) {
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= piwikIdToVisit.size()) {
logger.info("Trimming piwikIds list to the size of: " + ExecuteWorkflow.numberOfPiwikIdsToDownload);
piwikIdToVisit = piwikIdToVisit.subList(0, ExecuteWorkflow.numberOfPiwikIdsToDownload);
}
@ -95,9 +97,9 @@ public class PiwikDownloadLogs {
initializeDateRange(dateMax);
for (LocalDate currDay = start; currDay.isBefore(end); currDay = currDay.plusDays(1)) {
logger
.info(
"### (2nd loop) - Downloading Matomo logs - siteId: {}, date: {}", siteId,
currDay.format(YYYY_MM_DD_DATE_FORMAT));
.info(
"### (2nd loop) - Downloading Matomo logs - siteId: {}, date: {}", siteId,
currDay.format(YYYY_MM_DD_DATE_FORMAT));
getOpenAIRELogsForDate(currDay, siteId, repoLogsPath, portalLogPath, portalMatomoID);
} // end 2nd loop
} // end 1st loop
@ -123,13 +125,13 @@ public class PiwikDownloadLogs {
logger.info("Starting period for log download: {}", YYYY_MM_DD_DATE_FORMAT.format(start));
logger
.info(
"Ending period for log download ({} days or yesterday): {}", numberOfDaysToProcess,
YYYY_MM_DD_DATE_FORMAT.format(end));
.info(
"Ending period for log download ({} days or yesterday): {}", numberOfDaysToProcess,
YYYY_MM_DD_DATE_FORMAT.format(end));
}
private void getOpenAIRELogsForDate(LocalDate currDay, int siteId, String repoLogsPath, String portalLogPath,
String portalMatomoID) throws Exception {
String portalMatomoID) throws Exception {
logger.info("### Downloading logs - siteId: {}, date: {}", siteId, currDay.format(YYYY_MM_DD_DATE_FORMAT));
String period = "&period=day&date=" + currDay.format(YYYY_MM_DD_DATE_FORMAT);
@ -142,7 +144,7 @@ public class PiwikDownloadLogs {
}
String baseApiUrl = getPiwikLogUrl() + APImethod + "&idSite=" + siteId + period + format
+ "&expanded=5&filter_limit=1000&token_auth=" + tokenAuth;
+ "&expanded=5&filter_limit=1000&token_auth=" + tokenAuth;
String content;
int i = 0;
@ -165,9 +167,9 @@ public class PiwikDownloadLogs {
if (i == 0) {
LocalDateTime missingDateTime = currDay.atStartOfDay();
logger
.info(
"### no content for siteId: {} for date: {} (store in siteIdsWithNoDataDates)", siteId,
missingDateTime.format(YYYY_MM_DD_DATE_FORMAT));
.info(
"### no content for siteId: {} for date: {} (store in siteIdsWithNoDataDates)", siteId,
missingDateTime.format(YYYY_MM_DD_DATE_FORMAT));
siteIdsWithNoDataDates.computeIfAbsent(siteId, k -> new ArrayList<>()).add(missingDateTime);
}
@ -177,7 +179,7 @@ public class PiwikDownloadLogs {
JSONArray jsonArray = (JSONArray) parser.parse(content);
String pathString = outFolder + "/" + siteId + "_Piwiklog" + currDay.format(YYYY_MM_DD_DATE_FORMAT)
+ "_offset_" + i + ".json";
+ "_offset_" + i + ".json";
FSDataOutputStream fin = fs.create(new Path(pathString), true);
logger.info("Writing data - Path with filename: {}", pathString);
@ -230,9 +232,9 @@ public class PiwikDownloadLogs {
Map<Integer, LocalDateTime> resultMap = new HashMap<>();
PreparedStatement st = ConnectDB.DB_HIVE_CONNECTION
.prepareStatement(
"SELECT source, MAX(`timestamp`) from " + ConnectDB.getUsageStatsDBSchema()
+ ".piwiklog GROUP BY source");
.prepareStatement(
"SELECT source, MAX(`timestamp`) from " + ConnectDB.getUsageStatsDBSchema()
+ ".piwiklog GROUP BY source");
ResultSet rs = st.executeQuery();
while (rs.next()) {
@ -247,9 +249,9 @@ public class PiwikDownloadLogs {
}
resultMap
.forEach(
(siteId, timestamp) -> logger
.info("[getMaxTimestamps] - siteId: {}, Max Timestamp: {}", siteId, timestamp));
.forEach(
(siteId, timestamp) -> logger
.info("[getMaxTimestamps] - siteId: {}, Max Timestamp: {}", siteId, timestamp));
return resultMap;
}
@ -270,9 +272,9 @@ public class PiwikDownloadLogs {
for (Map.Entry<Integer, LocalDateTime> entry : maxDatesWithNoData.entrySet()) {
logger
.info(
"### findMaxDateForEachSite - SiteId: {} -> Max Missing Date: {}", entry.getKey(),
entry.getValue().format(YYYY_MM_DD_HH_MM_SS_FORMAT));
.info(
"### findMaxDateForEachSite - SiteId: {} -> Max Missing Date: {}", entry.getKey(),
entry.getValue().format(YYYY_MM_DD_HH_MM_SS_FORMAT));
}
dummyInsertPiwiklog(maxDatesWithNoData);
@ -282,7 +284,7 @@ public class PiwikDownloadLogs {
logger.info("### insert Piwiklog MaxTimestamp");
String insertQuery = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema()
+ ".piwiklog (source, timestamp, action) VALUES (?, ?, ?)";
+ ".piwiklog (source, timestamp, action) VALUES (?, ?, ?)";
try (PreparedStatement st = ConnectDB.getHiveConnection().prepareStatement(insertQuery)) {
for (Map.Entry<Integer, LocalDateTime> entry : maxDatesWithNoData.entrySet()) {

View File

@ -17,6 +17,9 @@ import org.apache.hadoop.fs.RemoteIterator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author D. Pierrakos, S. Zoupanos
*/
public class PiwikStatsDB {
private String logPath;
@ -30,7 +33,7 @@ public class PiwikStatsDB {
private String CounterRobotsURL;
private ArrayList robotsList;
public PiwikStatsDB(String logRepoPath, String logPortalPath) {
public PiwikStatsDB(String logRepoPath, String logPortalPath) throws Exception {
this.logRepoPath = logRepoPath;
this.logPortalPath = logPortalPath;
@ -55,6 +58,9 @@ public class PiwikStatsDB {
public void recreateDBAndTables() throws Exception {
this.createDatabase();
this.createTables();
// The piwiklog table is not needed since it is built
// on top of JSON files
//////////// this.createTmpTables();
}
public ArrayList getRobotsList() {
@ -112,6 +118,12 @@ public class PiwikStatsDB {
+ "into 100 buckets stored as orc tblproperties('transactional'='true')";
stmt.executeUpdate(sqlCreateTablePiwikLog);
// String dropT = "TRUNCATE TABLE "
// + ConnectDB.getUsageStatsDBSchema()
// + ".piwiklog ";
// stmt.executeUpdate(dropT);
// logger.info("truncated piwiklog");
/////////////////////////////////////////
// Rule for duplicate inserts @ piwiklog
/////////////////////////////////////////
@ -250,7 +262,7 @@ public class PiwikStatsDB {
public void removeDoubleClicks() throws Exception {
Statement stmt = ConnectDB.getHiveConnection().createStatement();
ConnectDB.getHiveConnection().setAutoCommit(false);
// ConnectDB.getHiveConnection().setAutoCommit(false);
logger.info("Cleaning download double clicks");
// clean download double clicks

View File

@ -30,8 +30,6 @@ import org.json.simple.parser.ParseException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static eu.dnetlib.oa.graph.usagerawdata.export.ExecuteWorkflow.numberOfDaysToProcess;
public class SarcStats {
private Statement stmtHive = null;
@ -46,6 +44,8 @@ public class SarcStats {
private static final Logger logger = LoggerFactory.getLogger(SarcStats.class);
private static final int NUM_OF_DAYS = 15; // number of days to process since the start date
public SarcStats() {
}
@ -56,11 +56,11 @@ public class SarcStats {
stmtHive.executeUpdate(sqlCreateTableSushiLog);
String sqlcreateRuleSushiLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
+ " ON INSERT TO sushilog "
+ " WHERE (EXISTS ( SELECT sushilog.source, sushilog.repository,"
+ "sushilog.rid, sushilog.date "
+ "FROM sushilog "
+ "WHERE sushilog.source = new.source AND sushilog.repository = new.repository AND sushilog.rid = new.rid AND sushilog.date = new.date AND sushilog.metric_type = new.metric_type)) DO INSTEAD NOTHING;";
+ " ON INSERT TO sushilog "
+ " WHERE (EXISTS ( SELECT sushilog.source, sushilog.repository,"
+ "sushilog.rid, sushilog.date "
+ "FROM sushilog "
+ "WHERE sushilog.source = new.source AND sushilog.repository = new.repository AND sushilog.rid = new.rid AND sushilog.date = new.date AND sushilog.metric_type = new.metric_type)) DO INSTEAD NOTHING;";
stmtHive.executeUpdate(sqlcreateRuleSushiLog);
String createSushiIndex = "create index if not exists sushilog_duplicates on sushilog(source, repository, rid, date, metric_type);";
stmtHive.executeUpdate(createSushiIndex);
@ -100,92 +100,92 @@ public class SarcStats {
logger.info("Dropping sarc_sushilogtmp_json_array table");
String drop_sarc_sushilogtmp_json_array = "DROP TABLE IF EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array";
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array";
stmt.executeUpdate(drop_sarc_sushilogtmp_json_array);
logger.info("Dropped sarc_sushilogtmp_json_array table");
logger.info("Creating sarc_sushilogtmp_json_array table");
String create_sarc_sushilogtmp_json_array = "CREATE EXTERNAL TABLE IF NOT EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array(\n"
+ " `ItemIdentifier` ARRAY<\n"
+ " struct<\n"
+ " `Type`: STRING,\n"
+ " `Value`: STRING\n"
+ " >\n"
+ " >,\n"
+ " `ItemPerformance` struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >\n"
+ ")"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + sarcsReportPathArray + "/'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array(\n"
+ " `ItemIdentifier` ARRAY<\n"
+ " struct<\n"
+ " `Type`: STRING,\n"
+ " `Value`: STRING\n"
+ " >\n"
+ " >,\n"
+ " `ItemPerformance` struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >\n"
+ ")"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + sarcsReportPathArray + "/'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
stmt.executeUpdate(create_sarc_sushilogtmp_json_array);
logger.info("Created sarc_sushilogtmp_json_array table");
logger.info("Dropping sarc_sushilogtmp_json_non_array table");
String drop_sarc_sushilogtmp_json_non_array = "DROP TABLE IF EXISTS "
+ ConnectDB.getUsageStatsDBSchema()
+ ".sarc_sushilogtmp_json_non_array";
+ ConnectDB.getUsageStatsDBSchema()
+ ".sarc_sushilogtmp_json_non_array";
stmt.executeUpdate(drop_sarc_sushilogtmp_json_non_array);
logger.info("Dropped sarc_sushilogtmp_json_non_array table");
logger.info("Creating sarc_sushilogtmp_json_non_array table");
String create_sarc_sushilogtmp_json_non_array = "CREATE EXTERNAL TABLE IF NOT EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array (\n"
+ " `ItemIdentifier` struct<\n"
+ " `Type`: STRING,\n"
+ " `Value`: STRING\n"
+ " >,\n"
+ " `ItemPerformance` struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >"
+ ")"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + sarcsReportPathNonArray + "/'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array (\n"
+ " `ItemIdentifier` struct<\n"
+ " `Type`: STRING,\n"
+ " `Value`: STRING\n"
+ " >,\n"
+ " `ItemPerformance` struct<\n"
+ " `Period`: struct<\n"
+ " `Begin`: STRING,\n"
+ " `End`: STRING\n"
+ " >,\n"
+ " `Instance`: struct<\n"
+ " `Count`: STRING,\n"
+ " `MetricType`: STRING\n"
+ " >\n"
+ " >"
+ ")"
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
+ "LOCATION '" + sarcsReportPathNonArray + "/'\n"
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
stmt.executeUpdate(create_sarc_sushilogtmp_json_non_array);
logger.info("Created sarc_sushilogtmp_json_non_array table");
logger.info("Creating sarc_sushilogtmp table");
String create_sarc_sushilogtmp = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
+ ".sarc_sushilogtmp(source STRING, repository STRING, "
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
+ "tblproperties('transactional'='true')";
+ ".sarc_sushilogtmp(source STRING, repository STRING, "
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
+ "tblproperties('transactional'='true')";
stmt.executeUpdate(create_sarc_sushilogtmp);
logger.info("Created sarc_sushilogtmp table");
logger.info("Inserting to sarc_sushilogtmp table (sarc_sushilogtmp_json_array)");
String insert_sarc_sushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp "
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
+ " `ItemIdent`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array "
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
+ "WHERE `ItemIdent`.`Type`='DOI'";
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
+ " `ItemIdent`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array "
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
+ "WHERE `ItemIdent`.`Type`='DOI'";
stmt.executeUpdate(insert_sarc_sushilogtmp);
logger.info("Inserted to sarc_sushilogtmp table (sarc_sushilogtmp_json_array)");
logger.info("Inserting to sarc_sushilogtmp table (sarc_sushilogtmp_json_non_array)");
insert_sarc_sushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp "
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
+ "`ItemIdentifier`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array";
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
+ "`ItemIdentifier`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array";
stmt.executeUpdate(insert_sarc_sushilogtmp);
logger.info("Inserted to sarc_sushilogtmp table (sarc_sushilogtmp_json_non_array)");
@ -199,20 +199,20 @@ public class SarcStats {
logger.info("Creating sushilog table");
String createSushilog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
+ ".sushilog "
+ "(`source` string, "
+ "`repository` string, "
+ "`rid` string, "
+ "`date` string, "
+ "`metric_type` string, "
+ "`count` int)";
+ ".sushilog "
+ "(`source` string, "
+ "`repository` string, "
+ "`rid` string, "
+ "`date` string, "
+ "`metric_type` string, "
+ "`count` int)";
stmt.executeUpdate(createSushilog);
logger.info("Created sushilog table");
logger.info("Dropping sarc_sushilogtmp table");
String drop_sarc_sushilogtmp = "DROP TABLE IF EXISTS "
+ ConnectDB.getUsageStatsDBSchema()
+ ".sarc_sushilogtmp";
+ ConnectDB.getUsageStatsDBSchema()
+ ".sarc_sushilogtmp";
stmt.executeUpdate(drop_sarc_sushilogtmp);
logger.info("Dropped sarc_sushilogtmp table");
ConnectDB.getHiveConnection().close();
@ -271,7 +271,7 @@ public class SarcStats {
// });
if (ExecuteWorkflow.sarcNumberOfIssnToDownload > 0
&& ExecuteWorkflow.sarcNumberOfIssnToDownload <= issnAndUrls.size()) {
&& ExecuteWorkflow.sarcNumberOfIssnToDownload <= issnAndUrls.size()) {
logger.info("Trimming siteIds list to the size of: {}", ExecuteWorkflow.sarcNumberOfIssnToDownload);
issnAndUrls = issnAndUrls.subList(0, ExecuteWorkflow.sarcNumberOfIssnToDownload);
}
@ -293,7 +293,7 @@ public class SarcStats {
// Insert into sushilog
logger.info("Inserting into sushilog");
String insertSushiLog = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema()
+ ".sushilog SELECT * " + "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp";
+ ".sushilog SELECT * " + "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp";
stmtHive.executeUpdate(insertSushiLog);
logger.info("Inserted into sushilog");
@ -302,7 +302,7 @@ public class SarcStats {
}
public void getARReport(String sarcsReportPathArray, String sarcsReportPathNonArray,
String url, String issn) throws Exception {
String url, String issn) throws Exception {
logger.info("Processing SARC! issn: " + issn + " with url: " + url);
ConnectDB.getHiveConnection().setAutoCommit(false);
@ -315,9 +315,9 @@ public class SarcStats {
// logger.info("(getARReport) Ending period for log download: " + end.format(YYYY_MM));
PreparedStatement st = ConnectDB
.getHiveConnection()
.prepareStatement(
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
.getHiveConnection()
.prepareStatement(
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
st.setString(1, issn);
ResultSet rs_date = st.executeQuery();
@ -337,13 +337,13 @@ public class SarcStats {
config.addResource(new Path("/etc/hadoop/conf/core-site.xml"));
config.addResource(new Path("/etc/hadoop/conf/hdfs-site.xml"));
config
.set(
"fs.hdfs.impl",
DistributedFileSystem.class.getName());
.set(
"fs.hdfs.impl",
DistributedFileSystem.class.getName());
config
.set(
"fs.file.impl",
LocalFileSystem.class.getName());
.set(
"fs.file.impl",
LocalFileSystem.class.getName());
FileSystem dfs = FileSystem.get(config);
if (dateMax != null && !end.isAfter(dateMax)) {
@ -351,7 +351,7 @@ public class SarcStats {
} else {
while (start.isBefore(end) || start.equals(end)) {
String reportUrl = url + "GetReport/?Report=AR1&Format=json&BeginDate=" + YYYY_MM.format(start)
+ "&EndDate=" + YYYY_MM.format(start.plusMonths(1));
+ "&EndDate=" + YYYY_MM.format(start.plusMonths(1));
logger.info("(getARReport) Getting report: {}", reportUrl);
String text = getJson(reportUrl);
@ -390,13 +390,13 @@ public class SarcStats {
// Creating the file in the filesystem for the ItemIdentifier as array object
String filePathArray = sarcsReportPathArray + "/SarcsARReport_" + issn + "_"
+ YYYY_MM.format(start) + ".json";
+ YYYY_MM.format(start) + ".json";
logger.info("Storing to file: " + filePathArray);
FSDataOutputStream finArray = dfs.create(new Path(filePathArray), true);
// Creating the file in the filesystem for the ItemIdentifier as array object
String filePathNonArray = sarcsReportPathNonArray + "/SarcsARReport_" + issn + "_"
+ YYYY_MM.format(start) + ".json";
+ YYYY_MM.format(start) + ".json";
logger.info("Storing to file: " + filePathNonArray);
FSDataOutputStream finNonArray = dfs.create(new Path(filePathNonArray), true);
@ -441,7 +441,7 @@ public class SarcStats {
}
// Add number of days
end = start.plusDays(numberOfDaysToProcess); // number of days to process since the start date
end = start.plusDays(NUM_OF_DAYS);
// Ensure end date is not after yesterday
LocalDate yesterday = LocalDate.now().minusDays(1);
@ -450,7 +450,7 @@ public class SarcStats {
}
logger.info("Starting period for log download: {}", YYYY_MM.format(start));
logger.info("Ending period for log download ({} days or yesterday): {}", numberOfDaysToProcess, YYYY_MM.format(end));
logger.info("Ending period for log download ({} days or yesterday): {}", NUM_OF_DAYS, YYYY_MM.format(end));
}
private void renameKeysRecursively(String delimiter, JSONArray givenJsonObj) throws Exception {

View File

@ -10,6 +10,11 @@ import org.apache.hadoop.fs.Path;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Main class for downloading and processing Usage statistics
*
* @author D. Pierrakos, S. Zoupanos
*/
public class UsageStatsExporter {
public UsageStatsExporter() {
@ -65,9 +70,9 @@ public class UsageStatsExporter {
if (ExecuteWorkflow.downloadPiwikLogs) {
logger.info("Downloading piwik logs");
piwd
.getOpenAIRELogs(
ExecuteWorkflow.repoLogPath,
ExecuteWorkflow.portalLogPath, ExecuteWorkflow.portalMatomoID);
.getOpenAIRELogs(
ExecuteWorkflow.repoLogPath,
ExecuteWorkflow.portalLogPath, ExecuteWorkflow.portalMatomoID);
}
logger.info("Downloaded piwik logs");
@ -82,7 +87,7 @@ public class UsageStatsExporter {
logger.info("Creating LaReferencia tables");
LaReferenciaDownloadLogs lrf = new LaReferenciaDownloadLogs(ExecuteWorkflow.lareferenciaBaseURL,
ExecuteWorkflow.lareferenciaAuthToken);
ExecuteWorkflow.lareferenciaAuthToken);
if (ExecuteWorkflow.laReferenciaEmptyDirs) {
logger.info("Recreating LaReferencia log directories");
@ -159,36 +164,36 @@ public class UsageStatsExporter {
logger.info("Creating LaReferencia tables");
String sqlCreateTableLareferenciaLog = "CREATE TABLE IF NOT EXISTS "
+ ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, "
+ "source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, "
+ "source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) "
+ "clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets "
+ "stored as orc tblproperties('transactional'='true')";
+ ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, "
+ "source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, "
+ "source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) "
+ "clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets "
+ "stored as orc tblproperties('transactional'='true')";
stmt.executeUpdate(sqlCreateTableLareferenciaLog);
logger.info("Created LaReferencia tables");
logger.info("Creating sushilog");
String sqlCreateTableSushiLog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
+ ".sushilog(source STRING, "
+ "repository STRING, rid STRING, date STRING, metric_type STRING, count INT) clustered by (source, "
+ "repository, rid, date, metric_type) into 100 buckets stored as orc tblproperties('transactional'='true')";
+ ".sushilog(source STRING, "
+ "repository STRING, rid STRING, date STRING, metric_type STRING, count INT) clustered by (source, "
+ "repository, rid, date, metric_type) into 100 buckets stored as orc tblproperties('transactional'='true')";
stmt.executeUpdate(sqlCreateTableSushiLog);
logger.info("Created sushilog");
logger.info("Updating piwiklog");
String sql = "insert into " + ConnectDB.getUsageStatsDBSchema()
+ ".piwiklog select * from openaire_prod_usage_raw.piwiklog";
+ ".piwiklog select * from openaire_prod_usage_raw.piwiklog";
stmt.executeUpdate(sql);
logger.info("Updating lareferencialog");
sql = "insert into " + ConnectDB.getUsageStatsDBSchema()
+ ".lareferencialog select * from openaire_prod_usage_raw.lareferencialog";
+ ".lareferencialog select * from openaire_prod_usage_raw.lareferencialog";
stmt.executeUpdate(sql);
logger.info("Updating sushilog");
sql = "insert into " + ConnectDB.getUsageStatsDBSchema()
+ ".sushilog select * from openaire_prod_usage_raw.sushilog";
+ ".sushilog select * from openaire_prod_usage_raw.sushilog";
stmt.executeUpdate(sql);
stmt.close();

View File

@ -215,5 +215,11 @@
"paramLongName": "numberOfDownloadThreads",
"paramDescription": "Number of download threads",
"paramRequired": true
},
{
"paramName": "nodtp",
"paramLongName": "numberOfDaysToProcess",
"paramDescription": "Number Of Days To Process",
"paramRequired": true
}
]

View File

@ -30,6 +30,10 @@
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>mapred.child.java.opts</name>
<value>-Xmx16g</value>
</property>
</configuration>
</global>
@ -78,6 +82,7 @@
<arg>--sarcNumberOfIssnToDownload</arg><arg>${sarcNumberOfIssnToDownload}</arg>
<arg>--finalizeStats</arg><arg>${finalizeStats}</arg>
<arg>--numberOfDownloadThreads</arg><arg>${numberOfDownloadThreads}</arg>
<arg>--numberOfDaysToProcess</arg><arg>${numberOfDaysToProcess}</arg>
<capture-output/>
</java>
<ok to="End" />