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mergin with branch beta

This commit is contained in:
Miriam Baglioni 2024-04-16 15:24:40 +02:00
parent a5ddd8dfbb 589bce3520
commit 9eeb9f5d32
12 changed files with 947 additions and 283 deletions
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2
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/GraphCleaningFunctions.java
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@ -92,6 +92,8 @@ public class GraphCleaningFunctions extends CleaningFunctions {
INVALID_AUTHOR_NAMES.add("null anonymous"); INVALID_AUTHOR_NAMES.add("null anonymous");
INVALID_AUTHOR_NAMES.add("unbekannt"); INVALID_AUTHOR_NAMES.add("unbekannt");
INVALID_AUTHOR_NAMES.add("unknown"); INVALID_AUTHOR_NAMES.add("unknown");
INVALID_AUTHOR_NAMES.add("autor, Sin");
INVALID_AUTHOR_NAMES.add("Desconocido / Inconnu,");
INVALID_URL_HOSTS.add("creativecommons.org"); INVALID_URL_HOSTS.add("creativecommons.org");
INVALID_URL_HOSTS.add("www.academia.edu"); INVALID_URL_HOSTS.add("www.academia.edu");

7
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/MergeUtils.java
View File

@ -497,9 +497,14 @@ public class MergeUtils {
} }
private static Field<String> selectOldestDate(Field<String> d1, Field<String> d2) { private static Field<String> selectOldestDate(Field<String> d1, Field<String> d2) {
if (d1 == null || StringUtils.isBlank(d1.getValue())) {
return d2;
} else if (d2 == null || StringUtils.isBlank(d2.getValue())) {
return d1;
}
return Stream return Stream
.of(d1, d2) .of(d1, d2)
.filter(Objects::nonNull)
.min( .min(
Comparator Comparator
.comparing( .comparing(

45
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/AuthorsMatch.java
View File

@ -1,16 +1,18 @@
package eu.dnetlib.pace.tree; package eu.dnetlib.pace.tree;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import com.wcohen.ss.AbstractStringDistance; import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config; import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Person; import eu.dnetlib.pace.model.Person;
import eu.dnetlib.pace.tree.support.AbstractListComparator; import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass; import eu.dnetlib.pace.tree.support.ComparatorClass;
import eu.dnetlib.pace.util.AuthorMatchers;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.function.BiFunction;
import java.util.stream.Collectors;
@ComparatorClass("authorsMatch") @ComparatorClass("authorsMatch")
public class AuthorsMatch extends AbstractListComparator { public class AuthorsMatch extends AbstractListComparator {
@ -41,24 +43,36 @@ public class AuthorsMatch extends AbstractListComparator {
} }
@Override @Override
public double compare(final List<String> a, final List<String> b, final Config conf) { public double compare(final List<String> left, final List<String> right, final Config conf) {
if (a.isEmpty() || b.isEmpty()) if (left.isEmpty() || right.isEmpty())
return -1; return -1;
if (a.size() > SIZE_THRESHOLD || b.size() > SIZE_THRESHOLD) if (left.size() > SIZE_THRESHOLD || right.size() > SIZE_THRESHOLD)
return 1.0; return 1.0;
int maxMiss = Integer.MAX_VALUE;
List<Person> bList = b.stream().map(author -> new Person(author, false)).collect(Collectors.toList());
Double threshold = getDoubleParam("threshold"); Double threshold = getDoubleParam("threshold");
int maxMiss = Integer.MAX_VALUE;
if (threshold != null && threshold >= 0.0 && threshold <= 1.0 && a.size() == b.size()) { if (threshold != null && threshold >= 0.0 && threshold <= 1.0 && left.size() == right.size()) {
maxMiss = (int) Math.floor((1 - threshold) * Math.max(a.size(), b.size())); maxMiss = (int) Math.floor((1 - threshold) * Math.max(left.size(), right.size()));
} }
int common = 0; int common = 0;
List<String> a = new ArrayList<>(left);
List<String> b = new ArrayList<>(right);
common += AuthorMatchers
.removeMatches(a, b, (BiFunction<String, String, Object>) AuthorMatchers::matchEqualsIgnoreCase)
.size() / 2;
common += AuthorMatchers
.removeMatches(a, b, (BiFunction<String, String, Object>) AuthorMatchers::matchOrderedTokenAndAbbreviations)
.size() / 2;
List<Person> bList = b.stream().map(author -> new Person(author, false)).collect(Collectors.toList());
// compare each element of List1 with each element of List2 // compare each element of List1 with each element of List2
int alreadyMatched = common;
for (int i = 0; i < a.size(); i++) { for (int i = 0; i < a.size(); i++) {
Person p1 = new Person(a.get(i), false); Person p1 = new Person(a.get(i), false);
@ -123,13 +137,13 @@ public class AuthorsMatch extends AbstractListComparator {
} }
} }
if (i - common > maxMiss) { if (i - common - alreadyMatched > maxMiss) {
return 0.0; return 0.0;
} }
} }
// normalization factor to compute the score // normalization factor to compute the score
int normFactor = a.size() == b.size() ? a.size() : (a.size() + b.size() - common); int normFactor = left.size() == right.size() ? left.size() : (left.size() + right.size() - common);
if (TYPE.equals("percentage")) { if (TYPE.equals("percentage")) {
return (double) common / normFactor; return (double) common / normFactor;
@ -160,5 +174,4 @@ public class AuthorsMatch extends AbstractListComparator {
public String normalization(String s) { public String normalization(String s) {
return normalize(utf8(cleanup(s))); return normalize(utf8(cleanup(s)));
} }
} }

53
dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/enrich/orcid/ORCIDAuthorMatchers.scala → dhp-pace-core/src/main/java/eu/dnetlib/pace/util/AuthorMatchers.scala
View File

@ -1,9 +1,10 @@
package eu.dnetlib.dhp.enrich.orcid package eu.dnetlib.pace.util
import java.util.Locale import java.util.Locale
import java.util.regex.Pattern import java.util.regex.Pattern
import scala.util.control.Breaks.{break, breakable}
object ORCIDAuthorMatchers { object AuthorMatchers {
val SPLIT_REGEX = Pattern.compile("[\\s,\\.]+") val SPLIT_REGEX = Pattern.compile("[\\s,\\.]+")
val WORD_DIFF = 2 val WORD_DIFF = 2
@ -45,7 +46,8 @@ object ORCIDAuthorMatchers {
var res: Boolean = false var res: Boolean = false
if (e1.length != 1 && e2.length != 1) { if (e1.length != 1 && e2.length != 1) {
res = e1 == e2 res = e1 == e2
longMatches += 1 if (res)
longMatches += 1
} else { } else {
res = true res = true
shortMatches += 1 shortMatches += 1
@ -62,4 +64,49 @@ object ORCIDAuthorMatchers {
} }
longMatches > 0 && (shortMatches + longMatches) == Math.min(p1.length, p2.length) longMatches > 0 && (shortMatches + longMatches) == Math.min(p1.length, p2.length)
} }
def removeMatches(
graph_authors: java.util.List[String],
orcid_authors: java.util.List[String],
matchingFunc: java.util.function.BiFunction[String,String,Boolean]
) : java.util.List[String] = {
removeMatches(graph_authors, orcid_authors, (a, b) => matchingFunc(a,b))
}
def removeMatches(
graph_authors: java.util.List[String],
orcid_authors: java.util.List[String],
matchingFunc: (String, String) => Boolean
) : java.util.List[String] = {
val matched = new java.util.ArrayList[String]()
if (graph_authors != null && !graph_authors.isEmpty) {
val ait = graph_authors.iterator
while (ait.hasNext) {
val author = ait.next()
val oit = orcid_authors.iterator
breakable {
while (oit.hasNext) {
val orcid = oit.next()
if (matchingFunc(author, orcid)) {
ait.remove()
oit.remove()
matched.add(author)
matched.add(orcid)
break()
}
}
}
}
}
matched
}
} }

84
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/collection/plugin/rest/OsfPreprintCollectorTest.java Normal file
View File

@ -0,0 +1,84 @@
package eu.dnetlib.dhp.collection.plugin.rest;
import java.util.HashMap;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Stream;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class OsfPreprintCollectorTest {
private static final Logger log = LoggerFactory.getLogger(OsfPreprintCollectorTest.class);
private final String baseUrl = "https://api.osf.io/v2/preprints/";
// private final String requestHeaderMap = "";
// private final String authMethod = "";
// private final String authToken = "";
// private final String resultOutputFormat = "";
private final String queryParams = "filter:is_published:d=true";
private final String entityXpath = "/*/*[local-name()='data']";
private final String resultTotalXpath = "/*/*[local-name()='links']/*[local-name()='meta']/*[local-name()='total']";
private final String resumptionParam = "page";
private final String resumptionType = "page";
private final String resumptionXpath = "/*/*[local-name()='links']/*[local-name()='next']";
private final String resultSizeParam = "";
private final String resultSizeValue = "";
private final String resultFormatParam = "format";
private final String resultFormatValue = "json";
private final ApiDescriptor api = new ApiDescriptor();
private RestCollectorPlugin rcp;
@BeforeEach
public void setUp() {
final HashMap<String, String> params = new HashMap<>();
params.put("resumptionType", this.resumptionType);
params.put("resumptionParam", this.resumptionParam);
params.put("resumptionXpath", this.resumptionXpath);
params.put("resultTotalXpath", this.resultTotalXpath);
params.put("resultFormatParam", this.resultFormatParam);
params.put("resultFormatValue", this.resultFormatValue);
params.put("resultSizeParam", this.resultSizeParam);
params.put("resultSizeValue", this.resultSizeValue);
params.put("queryParams", this.queryParams);
params.put("entityXpath", this.entityXpath);
this.api.setBaseUrl(this.baseUrl);
this.api.setParams(params);
this.rcp = new RestCollectorPlugin(new HttpClientParams());
}
@Test
@Disabled
void test() throws CollectorException {
final AtomicInteger i = new AtomicInteger(0);
final Stream<String> stream = this.rcp.collect(this.api, new AggregatorReport());
stream.limit(200).forEach(s -> {
Assertions.assertTrue(s.length() > 0);
i.incrementAndGet();
log.info(s);
});
log.info("{}", i.intValue());
Assertions.assertTrue(i.intValue() > 0);
}
}

145
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java
View File

@ -43,15 +43,13 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants; import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport; import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.schema.sx.OafUtils;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import scala.Tuple2;
@ExtendWith(MockitoExtension.class) @ExtendWith(MockitoExtension.class)
@TestMethodOrder(MethodOrderer.OrderAnnotation.class) @TestMethodOrder(MethodOrderer.OrderAnnotation.class)
public class SparkDedupTest implements Serializable { public class SparkDedupTest implements Serializable {
static final boolean CHECK_CARDINALITIES = true;
@Mock(serializable = true) @Mock(serializable = true)
ISLookUpService isLookUpService; ISLookUpService isLookUpService;
@ -191,12 +189,13 @@ public class SparkDedupTest implements Serializable {
System.out.println("ds_simrel = " + ds_simrel); System.out.println("ds_simrel = " + ds_simrel);
System.out.println("orp_simrel = " + orp_simrel); System.out.println("orp_simrel = " + orp_simrel);
assertEquals(751, orgs_simrel); if (CHECK_CARDINALITIES) {
assertEquals(546, pubs_simrel); assertEquals(751, orgs_simrel);
assertEquals(113, sw_simrel); assertEquals(566, pubs_simrel);
assertEquals(148, ds_simrel); assertEquals(113, sw_simrel);
assertEquals(280, orp_simrel); assertEquals(148, ds_simrel);
assertEquals(280, orp_simrel);
}
} }
@Test @Test
@ -239,21 +238,27 @@ public class SparkDedupTest implements Serializable {
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "otherresearchproduct")) .load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "otherresearchproduct"))
.count(); .count();
// entities simrels supposed to be equal to the number of previous step (no rels in whitelist)
assertEquals(751, orgs_simrel);
assertEquals(546, pubs_simrel);
assertEquals(148, ds_simrel);
assertEquals(280, orp_simrel);
// System.out.println("orgs_simrel = " + orgs_simrel);
// System.out.println("pubs_simrel = " + pubs_simrel);
// System.out.println("ds_simrel = " + ds_simrel);
// System.out.println("orp_simrel = " + orp_simrel);
// entities simrels to be different from the number of previous step (new simrels in the whitelist) // entities simrels to be different from the number of previous step (new simrels in the whitelist)
Dataset<Row> sw_simrel = spark Dataset<Row> sw_simrel = spark
.read() .read()
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "software")); .load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "software"));
System.out.println("orgs_simrel = " + orgs_simrel);
System.out.println("pubs_simrel = " + pubs_simrel);
System.out.println("ds_simrel = " + ds_simrel);
System.out.println("orp_simrel = " + orp_simrel);
System.out.println("sw_simrel = " + sw_simrel.count());
// entities simrels supposed to be equal to the number of previous step (no rels in whitelist)
if (CHECK_CARDINALITIES) {
assertEquals(751, orgs_simrel);
assertEquals(566, pubs_simrel);
assertEquals(148, ds_simrel);
assertEquals(280, orp_simrel);
assertEquals(115, sw_simrel.count());
}
// check if the first relation in the whitelist exists // check if the first relation in the whitelist exists
assertTrue( assertTrue(
sw_simrel sw_simrel
@ -272,10 +277,6 @@ public class SparkDedupTest implements Serializable {
rel -> rel.getSource().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[0]) rel -> rel.getSource().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[0])
&& rel.getTarget().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[1])) && rel.getTarget().equalsIgnoreCase(whiteList.get(1).split(WHITELIST_SEPARATOR)[1]))
.count() > 0); .count() > 0);
assertEquals(115, sw_simrel.count());
// System.out.println("sw_simrel = " + sw_simrel.count());
} }
@Test @Test
@ -466,17 +467,19 @@ public class SparkDedupTest implements Serializable {
assertTrue(dups.contains(r.getSource())); assertTrue(dups.contains(r.getSource()));
}); });
assertEquals(1268, orgs_mergerel); System.out.println("orgs_mergerel = " + orgs_mergerel);
assertEquals(1112, pubs.count()); System.out.println("pubs_mergerel = " + pubs.count());
assertEquals(292, sw_mergerel); System.out.println("sw_mergerel = " + sw_mergerel);
assertEquals(476, ds_mergerel); System.out.println("ds_mergerel = " + ds_mergerel);
assertEquals(742, orp_mergerel); System.out.println("orp_mergerel = " + orp_mergerel);
// System.out.println("orgs_mergerel = " + orgs_mergerel);
// System.out.println("pubs_mergerel = " + pubs_mergerel);
// System.out.println("sw_mergerel = " + sw_mergerel);
// System.out.println("ds_mergerel = " + ds_mergerel);
// System.out.println("orp_mergerel = " + orp_mergerel);
if (CHECK_CARDINALITIES) {
assertEquals(1268, orgs_mergerel);
assertEquals(1156, pubs.count());
assertEquals(292, sw_mergerel);
assertEquals(476, ds_mergerel);
assertEquals(742, orp_mergerel);
}
} }
@Test @Test
@ -552,17 +555,19 @@ public class SparkDedupTest implements Serializable {
assertTrue(dups.contains(r.getSource())); assertTrue(dups.contains(r.getSource()));
}); });
assertEquals(1268, orgs_mergerel); System.out.println("orgs_mergerel = " + orgs_mergerel);
assertEquals(1112, pubs.count()); System.out.println("pubs_mergerel = " + pubs.count());
assertEquals(292, sw_mergerel); System.out.println("sw_mergerel = " + sw_mergerel);
assertEquals(476, ds_mergerel); System.out.println("ds_mergerel = " + ds_mergerel);
assertEquals(742, orp_mergerel); System.out.println("orp_mergerel = " + orp_mergerel);
// System.out.println("orgs_mergerel = " + orgs_mergerel);
// System.out.println("pubs_mergerel = " + pubs_mergerel);
// System.out.println("sw_mergerel = " + sw_mergerel);
// System.out.println("ds_mergerel = " + ds_mergerel);
// System.out.println("orp_mergerel = " + orp_mergerel);
if (CHECK_CARDINALITIES) {
assertEquals(1268, orgs_mergerel);
assertEquals(1156, pubs.count());
assertEquals(292, sw_mergerel);
assertEquals(476, ds_mergerel);
assertEquals(742, orp_mergerel);
}
} }
@Test @Test
@ -607,19 +612,21 @@ public class SparkDedupTest implements Serializable {
testOutputBasePath + "/" + testActionSetId + "/otherresearchproduct_deduprecord") testOutputBasePath + "/" + testActionSetId + "/otherresearchproduct_deduprecord")
.count(); .count();
assertEquals(86, orgs_deduprecord); System.out.println("orgs_deduprecord = " + orgs_deduprecord);
assertEquals(91, pubs.count()); System.out.println("pubs_deduprecord = " + pubs.count());
assertEquals(47, sw_deduprecord); System.out.println("sw_deduprecord = " + sw_deduprecord);
assertEquals(97, ds_deduprecord); System.out.println("ds_deduprecord = " + ds_deduprecord);
assertEquals(92, orp_deduprecord); System.out.println("orp_deduprecord = " + orp_deduprecord);
if (CHECK_CARDINALITIES) {
assertEquals(86, orgs_deduprecord);
assertEquals(96, pubs.count());
assertEquals(47, sw_deduprecord);
assertEquals(97, ds_deduprecord);
assertEquals(92, orp_deduprecord);
}
verifyRoot_1(mapper, pubs); verifyRoot_1(mapper, pubs);
// System.out.println("orgs_deduprecord = " + orgs_deduprecord);
// System.out.println("pubs_deduprecord = " + pubs_deduprecord);
// System.out.println("sw_deduprecord = " + sw_deduprecord);
// System.out.println("ds_deduprecord = " + ds_deduprecord);
// System.out.println("orp_deduprecord = " + orp_deduprecord);
} }
private static void verifyRoot_1(ObjectMapper mapper, Dataset<Publication> pubs) { private static void verifyRoot_1(ObjectMapper mapper, Dataset<Publication> pubs) {
@ -745,21 +752,23 @@ public class SparkDedupTest implements Serializable {
.distinct() .distinct()
.count(); .count();
assertEquals(925, publications); System.out.println("publications = " + publications);
assertEquals(839, organizations); System.out.println("organizations = " + organizations);
assertEquals(100, projects); System.out.println("projects = " + projects);
assertEquals(100, datasource); System.out.println("datasource = " + datasource);
assertEquals(196, softwares); System.out.println("software = " + softwares);
assertEquals(389, dataset); System.out.println("dataset = " + dataset);
assertEquals(520, otherresearchproduct); System.out.println("otherresearchproduct = " + otherresearchproduct);
// System.out.println("publications = " + publications); if (CHECK_CARDINALITIES) {
// System.out.println("organizations = " + organizations); assertEquals(930, publications);
// System.out.println("projects = " + projects); assertEquals(839, organizations);
// System.out.println("datasource = " + datasource); assertEquals(100, projects);
// System.out.println("software = " + softwares); assertEquals(100, datasource);
// System.out.println("dataset = " + dataset); assertEquals(196, softwares);
// System.out.println("otherresearchproduct = " + otherresearchproduct); assertEquals(389, dataset);
assertEquals(520, otherresearchproduct);
}
long deletedOrgs = jsc long deletedOrgs = jsc
.textFile(testDedupGraphBasePath + "/organization") .textFile(testDedupGraphBasePath + "/organization")

11
dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/enrich/orcid/ORCIDAuthorEnricher.scala
View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.enrich.orcid
import eu.dnetlib.dhp.schema.common.ModelConstants import eu.dnetlib.dhp.schema.common.ModelConstants
import eu.dnetlib.dhp.schema.oaf.{Author, StructuredProperty} import eu.dnetlib.dhp.schema.oaf.{Author, StructuredProperty}
import eu.dnetlib.dhp.schema.sx.OafUtils import eu.dnetlib.dhp.schema.sx.OafUtils
import eu.dnetlib.pace.util.AuthorMatchers
import java.util import java.util
import scala.beans.BeanProperty import scala.beans.BeanProperty
@ -39,7 +40,7 @@ object ORCIDAuthorEnricher extends Serializable {
unmatched_authors, unmatched_authors,
orcid_authors, orcid_authors,
(author, orcid) => (author, orcid) =>
ORCIDAuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.givenName + " " + orcid.familyName), AuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.givenName + " " + orcid.familyName),
"fullName" "fullName"
) ++ ) ++
// Look after exact reversed fullname match, reconstruct ORCID fullname as familyName + givenName // Look after exact reversed fullname match, reconstruct ORCID fullname as familyName + givenName
@ -47,7 +48,7 @@ object ORCIDAuthorEnricher extends Serializable {
unmatched_authors, unmatched_authors,
orcid_authors, orcid_authors,
(author, orcid) => (author, orcid) =>
ORCIDAuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.familyName + " " + orcid.givenName), AuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.familyName + " " + orcid.givenName),
"reversedFullName" "reversedFullName"
) ++ ) ++
// split author names in tokens, order the tokens, then check for matches of full tokens or abbreviations // split author names in tokens, order the tokens, then check for matches of full tokens or abbreviations
@ -55,7 +56,7 @@ object ORCIDAuthorEnricher extends Serializable {
unmatched_authors, unmatched_authors,
orcid_authors, orcid_authors,
(author, orcid) => (author, orcid) =>
ORCIDAuthorMatchers AuthorMatchers
.matchOrderedTokenAndAbbreviations(author.getFullname, orcid.givenName + " " + orcid.familyName), .matchOrderedTokenAndAbbreviations(author.getFullname, orcid.givenName + " " + orcid.familyName),
"orderedTokens" "orderedTokens"
) ++ ) ++
@ -63,7 +64,7 @@ object ORCIDAuthorEnricher extends Serializable {
extractAndEnrichMatches( extractAndEnrichMatches(
unmatched_authors, unmatched_authors,
orcid_authors, orcid_authors,
(author, orcid) => ORCIDAuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.creditName), (author, orcid) => AuthorMatchers.matchEqualsIgnoreCase(author.getFullname, orcid.creditName),
"creditName" "creditName"
) ++ ) ++
// look after exact matches in ORCID otherNames // look after exact matches in ORCID otherNames
@ -71,7 +72,7 @@ object ORCIDAuthorEnricher extends Serializable {
unmatched_authors, unmatched_authors,
orcid_authors, orcid_authors,
(author, orcid) => (author, orcid) =>
orcid.otherNames != null && ORCIDAuthorMatchers.matchOtherNames(author.getFullname, orcid.otherNames.asScala), orcid.otherNames != null && AuthorMatchers.matchOtherNames(author.getFullname, orcid.otherNames.asScala),
"otherNames" "otherNames"
) )
} }

2
dhp-workflows/dhp-graph-mapper/src/test/scala/eu/dnetlib/dhp/enrich/orcid/ORCIDAuthorMatchersTest.scala
View File

@ -1,6 +1,6 @@
package eu.dnetlib.dhp.enrich.orcid package eu.dnetlib.dhp.enrich.orcid
import eu.dnetlib.dhp.enrich.orcid.ORCIDAuthorMatchers.matchOrderedTokenAndAbbreviations import eu.dnetlib.pace.util.AuthorMatchers.matchOrderedTokenAndAbbreviations
import org.junit.jupiter.api.Assertions.{assertFalse, assertTrue} import org.junit.jupiter.api.Assertions.{assertFalse, assertTrue}
import org.junit.jupiter.api.Test import org.junit.jupiter.api.Test

218
dhp-workflows/dhp-stats-hist-snaps/src/main/resources/eu/dnetlib/dhp/oa/graph/stats-hist-snaps/oozie_app/copyDataToImpalaCluster.sh
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@ -8,9 +8,13 @@ fi
export HADOOP_USER_NAME=$2 export HADOOP_USER_NAME=$2
# Set the active HDFS node of OCEAN and IMPALA cluster.
OCEAN_HDFS_NODE='hdfs://nameservice1'
echo -e "\nOCEAN HDFS virtual-name which resolves automatically to the active-node: ${OCEAN_HDFS_NODE}"
IMPALA_HDFS_NODE='' IMPALA_HDFS_NODE=''
COUNTER=0 COUNTER=0
while [ $COUNTER -lt 3 ]; do while [ $COUNTER -lt 3 ]; do
if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then
IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020' IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020'
@ -24,71 +28,195 @@ while [ $COUNTER -lt 3 ]; do
fi fi
((COUNTER++)) ((COUNTER++))
done done
if [ -z "$IMPALA_HDFS_NODE" ]; then if [ -z "$IMPALA_HDFS_NODE" ]; then
echo -e "\n\nPROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! $COUNTER\n\n" echo -e "\n\nERROR: PROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! | AFTER ${COUNTER} RETRIES.\n\n"
exit 1 exit 1
fi fi
echo "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries." echo -e "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries.\n\n"
IMPALA_HOSTNAME='impala-cluster-dn1.openaire.eu'
IMPALA_CONFIG_FILE='/etc/impala_cluster/hdfs-site.xml'
IMPALA_HDFS_DB_BASE_PATH="${IMPALA_HDFS_NODE}/user/hive/warehouse"
# Set sed arguments.
LOCATION_HDFS_NODE_SED_ARG="s|${OCEAN_HDFS_NODE}|${IMPALA_HDFS_NODE}|g" # This requires to be used with "sed -e" in order to have the "|" delimiter (as the "/" conflicts with the URIs)
# Set the SED command arguments for column-names with reserved words:
DATE_SED_ARG_1='s/[[:space:]]\date[[:space:]]/\`date\`/g'
DATE_SED_ARG_2='s/\.date,/\.\`date\`,/g' # the "date" may be part of a larger field name like "datestamp" or "date_aggregated", so we need to be careful with what we are replacing.
DATE_SED_ARG_3='s/\.date[[:space:]]/\.\`date\` /g'
HASH_SED_ARG_1='s/[[:space:]]\hash[[:space:]]/\`hash\`/g'
HASH_SED_ARG_2='s/\.hash,/\.\`hash\`,/g'
HASH_SED_ARG_3='s/\.hash[[:space:]]/\.\`hash\` /g'
LOCATION_SED_ARG_1='s/[[:space:]]\location[[:space:]]/\`location\`/g'
LOCATION_SED_ARG_2='s/\.location,/\.\`location\`,/g'
LOCATION_SED_ARG_3='s/\.location[[:space:]]/\.\`location\` /g'
function copydb() { function copydb() {
db=$1 db=$1
FILE=("hive_wf_tmp_"$RANDOM) echo -e "\nStart processing db: '${db}'..\n"
hdfs dfs -mkdir ${IMPALA_HDFS_NODE}/tmp/$FILE/
# change ownership to impala # Delete the old DB from Impala cluster (if exists).
# hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "drop database if exists ${db} cascade" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/ log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN DROPPING THE OLD DATABASE! EXITING...\n\n"
rm -f error.log
return 1
fi
# Make Impala aware of the deletion of the old DB immediately.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
# copy the databases from ocean to impala echo -e "\n\nCopying files of '${db}', from Ocean to Impala cluster..\n"
echo "copying $db" # Using max-bandwidth of: 50 * 100 Mb/s = 5 Gb/s
hadoop distcp -Dmapreduce.map.memory.mb=6144 -pb hdfs://nameservice1/user/hive/warehouse/${db}.db ${IMPALA_HDFS_NODE}/tmp/$FILE/ # Using max memory of: 50 * 6144 = 300 Gb
# Using 1MB as a buffer-size.
# The " -Ddistcp.dynamic.recordsPerChunk=50" arg is not available in our version of hadoop
# The "ug" args cannot be used as we get a "User does not belong to hive" error.
# The "p" argument cannot be used, as it blocks the files from being used, giving a "sticky bit"-error, even after applying chmod and chown onm the files.
hadoop distcp -Dmapreduce.map.memory.mb=6144 -m 70 -bandwidth 150 \
-numListstatusThreads 40 \
-copybuffersize 1048576 \
-strategy dynamic \
-pb \
${OCEAN_HDFS_NODE}/user/hive/warehouse/${db}.db ${IMPALA_HDFS_DB_BASE_PATH}
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db # Check the exit status of the "hadoop distcp" command.
if [ $? -eq 0 ]; then
echo -e "\nSuccessfully copied the files of '${db}'.\n"
else
echo -e "\n\nERROR: FAILED TO TRANSFER THE FILES OF '${db}', WITH 'hadoop distcp'. GOT WITH EXIT STATUS: $?\n\n"
rm -f error.log
return 2
fi
# drop tables from db # In case we ever use this script for a writable DB (using inserts/updates), we should perform the following costly operation as well..
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`; #hdfs dfs -conf ${IMPALA_CONFIG_FILE} -chmod -R 777 ${TEMP_SUBDIR_FULLPATH}/${db}.db
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`;
done
# drop views from db echo -e "\nCreating schema for db: '${db}'\n"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`;
done
# delete the database # create the new database (with the same name)
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database if exists ${db} cascade"; impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create database ${db}"
# create the databases # Make Impala aware of the creation of the new DB immediately.
impala-shell -i impala-cluster-dn1.openaire.eu -q "create database ${db}"; sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
# Because "Hive" and "Impala" do not have compatible schemas, we cannot use the "show create table <name>" output from hive to create the exact same table in impala.
# So, we have to find at least one parquet file (check if it's there) from the table in the ocean cluster for impala to use it to extract the table-schema itself from that file.
impala-shell -q "INVALIDATE METADATA" all_create_view_statements=()
echo "creating schema for ${db}"
for (( k = 0; k < 5; k ++ )); do entities_on_ocean=`hive -e "show tables in ${db};" | sed 's/WARN:.*//g'` # Get the tables and views without any potential the "WARN" logs.
for i in `impala-shell -d ${db} --delimited -q "show tables"`; for i in ${entities_on_ocean[@]}; do # Use un-quoted values, as the elemetns are single-words.
do # Check if this is a view by showing the create-statement where it should print "create view" for a view, not the "create table". Unfortunately, there is no "show views" command.
impala-shell -d ${db} --delimited -q "show create table $i"; create_entity_statement=`hive -e "show create table ${db}.${i};"` # It needs to happen in two stages, otherwise the "grep" is not able to match multi-line statement.
done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f -
create_view_statement_test=`echo -e "$create_entity_statement" | grep 'CREATE VIEW'`
if [ -n "$create_view_statement_test" ]; then
echo -e "\n'${i}' is a view, so we will save its 'create view' statement and execute it on Impala, after all tables have been created.\n"
create_view_statement=`echo -e "$create_entity_statement" | sed 's/WARN:.*//g' | sed 's/\`//g' \
| sed 's/"$/;/' | sed 's/^"//' | sed 's/\\"\\"/\"/g' | sed -e "${LOCATION_HDFS_NODE_SED_ARG}" | sed "${DATE_SED_ARG_1}" | sed "${HASH_SED_ARG_1}" | sed "${LOCATION_SED_ARG_1}" \
| sed "${DATE_SED_ARG_2}" | sed "${HASH_SED_ARG_2}" | sed "${LOCATION_SED_ARG_2}" \
| sed "${DATE_SED_ARG_3}" | sed "${HASH_SED_ARG_3}" | sed "${LOCATION_SED_ARG_3}"`
all_create_view_statements+=("$create_view_statement")
else
echo -e "\n'${i}' is a table, so we will check for its parquet files and create the table on Impala cluster.\n"
CURRENT_PRQ_FILE=`hdfs dfs -conf ${IMPALA_CONFIG_FILE} -ls -C "${IMPALA_HDFS_DB_BASE_PATH}/${db}.db/${i}/" | grep -v 'Found' | grep -v '_impala_insert_staging' | head -1`
if [ -z "$CURRENT_PRQ_FILE" ]; then # If there is not parquet-file inside.
echo -e "\nERROR: THE TABLE \"${i}\" HAD NO FILES TO GET THE SCHEMA FROM! IT'S EMPTY!\n\n"
else
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create table ${db}.${i} like parquet '${CURRENT_PRQ_FILE}' stored as parquet;" |& tee error.log
log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN CREATING TABLE '${i}'!\n\n"
fi
fi
fi
done done
# load the data from /tmp in the respective tables echo -e "\nAll tables have been created, going to create the views..\n"
echo "copying data in tables and computing stats"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "load data inpath '/tmp/$FILE/${db}.db/$i' into table $i";
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "compute stats $i";
done
# deleting the remaining directory from hdfs # Time to loop through the views and create them.
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -rm -R /tmp/$FILE/${db}.db # At this point all table-schemas should have been created.
previous_num_of_views_to_retry=${#all_create_view_statements}
if [[ $previous_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nAll_create_view_statements:\n\n${all_create_view_statements[@]}\n" # DEBUG
# Make Impala aware of the new tables, so it knows them when creating the views.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
else
echo -e "\nDB '${db}' does not contain any views.\n"
fi
level_counter=0
while [[ ${#all_create_view_statements[@]} -gt 0 ]]; do
((level_counter++))
# The only accepted reason for a view to not be created, is if it depends on another view, which has not been created yet.
# In this case, we should retry creating this particular view again.
should_retry_create_view_statements=()
for create_view_statement in "${all_create_view_statements[@]}"; do # Here we use double quotes, as the elements are phrases, instead of single-words.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "${create_view_statement}" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
specific_errors=`cat error.log | grep -E "FAILED: ParseException line 1:13 missing TABLE at 'view'|ERROR: AnalysisException: Could not resolve table reference:"`
if [ -n "$specific_errors" ]; then
echo -e "\nspecific_errors: ${specific_errors}\n"
echo -e "\nView '$(cat error.log | grep "CREATE VIEW " | sed 's/CREATE VIEW //g' | sed 's/ as select .*//g')' failed to be created, possibly because it depends on another view.\n"
should_retry_create_view_statements+=("$create_view_statement")
else
sleep 1 # Wait a bit for Impala to register that the view was created, before possibly referencing it by another view.
fi
done
new_num_of_views_to_retry=${#should_retry_create_view_statements}
if [[ $new_num_of_views_to_retry -eq $previous_num_of_views_to_retry ]]; then
echo -e "\n\nERROR: THE NUMBER OF VIEWS TO RETRY HAS NOT BEEN REDUCED! THE SCRIPT IS LIKELY GOING TO AN INFINITE-LOOP! EXITING..\n\n"
return 3
elif [[ $new_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nTo be retried \"create_view_statements\":\n\n${should_retry_create_view_statements[@]}\n"
previous_num_of_views_to_retry=$new_num_of_views_to_retry
else
echo -e "\nFinished creating views, for db: '${db}', in level-${level_counter}.\n"
fi
all_create_view_statements=("${should_retry_create_view_statement[@]}") # This is needed in any case to either move forward with the rest of the views or stop at 0 remaining views.
done
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
echo -e "\nComputing stats for tables..\n"
entities_on_impala=`impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} --delimited -q "show tables in ${db}"`
for i in ${entities_on_impala[@]}; do # Use un-quoted values, as the elemetns are single-words.
# Taking the create table statement from the Ocean cluster, just to check if its a view, as the output is easier than using impala-shell from Impala cluster.
create_view_statement=`hive -e "show create table ${db}.${i};" | grep "CREATE VIEW"` # This grep works here, as we do not want to match multiple-lines.
if [ -z "$create_view_statement" ]; then # If it's a table, then go load the data to it.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "compute stats ${db}.${i}";
fi
done
if [ "${entities_on_impala[@]}" == "${entities_on_ocean[@]}" ]; then
echo -e "\nAll entities have been copied to Impala cluster.\n"
else
echo -e "\n\nERROR: 1 OR MORE ENTITIES OF DB '${db}' FAILED TO BE COPIED TO IMPALA CLUSTER!\n\n"
rm -f error.log
return 4
fi
rm -f error.log
echo -e "\n\nFinished processing db: ${db}\n\n"
} }
MONITOR_DB=$1 MONITOR_DB=$1
#HADOOP_USER_NAME=$2 #HADOOP_USER_NAME=$2
copydb $MONITOR_DB copydb $MONITOR_DB

216
dhp-workflows/dhp-stats-monitor-irish/src/main/resources/eu/dnetlib/dhp/oa/graph/stats-monitor-irish/oozie_app/copyDataToImpalaCluster.sh
View File

@ -8,9 +8,12 @@ fi
export HADOOP_USER_NAME=$2 export HADOOP_USER_NAME=$2
# Set the active HDFS node of OCEAN and IMPALA cluster.
OCEAN_HDFS_NODE='hdfs://nameservice1'
echo -e "\nOCEAN HDFS virtual-name which resolves automatically to the active-node: ${OCEAN_HDFS_NODE}"
IMPALA_HDFS_NODE='' IMPALA_HDFS_NODE=''
COUNTER=0 COUNTER=0
while [ $COUNTER -lt 3 ]; do while [ $COUNTER -lt 3 ]; do
if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then
IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020' IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020'
@ -24,70 +27,195 @@ while [ $COUNTER -lt 3 ]; do
fi fi
((COUNTER++)) ((COUNTER++))
done done
if [ -z "$IMPALA_HDFS_NODE" ]; then if [ -z "$IMPALA_HDFS_NODE" ]; then
echo -e "\n\nPROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! $COUNTER\n\n" echo -e "\n\nERROR: PROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! | AFTER ${COUNTER} RETRIES.\n\n"
exit 1 exit 1
fi fi
echo "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries." echo -e "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries.\n\n"
IMPALA_HOSTNAME='impala-cluster-dn1.openaire.eu'
IMPALA_CONFIG_FILE='/etc/impala_cluster/hdfs-site.xml'
IMPALA_HDFS_DB_BASE_PATH="${IMPALA_HDFS_NODE}/user/hive/warehouse"
# Set sed arguments.
LOCATION_HDFS_NODE_SED_ARG="s|${OCEAN_HDFS_NODE}|${IMPALA_HDFS_NODE}|g" # This requires to be used with "sed -e" in order to have the "|" delimiter (as the "/" conflicts with the URIs)
# Set the SED command arguments for column-names with reserved words:
DATE_SED_ARG_1='s/[[:space:]]\date[[:space:]]/\`date\`/g'
DATE_SED_ARG_2='s/\.date,/\.\`date\`,/g' # the "date" may be part of a larger field name like "datestamp" or "date_aggregated", so we need to be careful with what we are replacing.
DATE_SED_ARG_3='s/\.date[[:space:]]/\.\`date\` /g'
HASH_SED_ARG_1='s/[[:space:]]\hash[[:space:]]/\`hash\`/g'
HASH_SED_ARG_2='s/\.hash,/\.\`hash\`,/g'
HASH_SED_ARG_3='s/\.hash[[:space:]]/\.\`hash\` /g'
LOCATION_SED_ARG_1='s/[[:space:]]\location[[:space:]]/\`location\`/g'
LOCATION_SED_ARG_2='s/\.location,/\.\`location\`,/g'
LOCATION_SED_ARG_3='s/\.location[[:space:]]/\.\`location\` /g'
function copydb() { function copydb() {
db=$1 db=$1
FILE=("hive_wf_tmp_"$RANDOM) echo -e "\nStart processing db: '${db}'..\n"
hdfs dfs -mkdir ${IMPALA_HDFS_NODE}/tmp/$FILE/
# change ownership to impala # Delete the old DB from Impala cluster (if exists).
# hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "drop database if exists ${db} cascade" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/ log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN DROPPING THE OLD DATABASE! EXITING...\n\n"
rm -f error.log
return 1
fi
# Make Impala aware of the deletion of the old DB immediately.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
# copy the databases from ocean to impala echo -e "\n\nCopying files of '${db}', from Ocean to Impala cluster..\n"
echo "copying $db" # Using max-bandwidth of: 50 * 100 Mb/s = 5 Gb/s
hadoop distcp -Dmapreduce.map.memory.mb=6144 -pb hdfs://nameservice1/user/hive/warehouse/${db}.db ${IMPALA_HDFS_NODE}/tmp/$FILE/ # Using max memory of: 50 * 6144 = 300 Gb
# Using 1MB as a buffer-size.
# The " -Ddistcp.dynamic.recordsPerChunk=50" arg is not available in our version of hadoop
# The "ug" args cannot be used as we get a "User does not belong to hive" error.
# The "p" argument cannot be used, as it blocks the files from being used, giving a "sticky bit"-error, even after applying chmod and chown onm the files.
hadoop distcp -Dmapreduce.map.memory.mb=6144 -m 70 -bandwidth 150 \
-numListstatusThreads 40 \
-copybuffersize 1048576 \
-strategy dynamic \
-pb \
${OCEAN_HDFS_NODE}/user/hive/warehouse/${db}.db ${IMPALA_HDFS_DB_BASE_PATH}
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db # Check the exit status of the "hadoop distcp" command.
if [ $? -eq 0 ]; then
echo -e "\nSuccessfully copied the files of '${db}'.\n"
else
echo -e "\n\nERROR: FAILED TO TRANSFER THE FILES OF '${db}', WITH 'hadoop distcp'. GOT WITH EXIT STATUS: $?\n\n"
rm -f error.log
return 2
fi
# drop tables from db # In case we ever use this script for a writable DB (using inserts/updates), we should perform the following costly operation as well..
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`; #hdfs dfs -conf ${IMPALA_CONFIG_FILE} -chmod -R 777 ${TEMP_SUBDIR_FULLPATH}/${db}.db
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`;
done
# drop views from db echo -e "\nCreating schema for db: '${db}'\n"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`;
done
# delete the database # create the new database (with the same name)
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database if exists ${db} cascade"; impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create database ${db}"
# create the databases # Make Impala aware of the creation of the new DB immediately.
impala-shell -i impala-cluster-dn1.openaire.eu -q "create database ${db}"; sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
# Because "Hive" and "Impala" do not have compatible schemas, we cannot use the "show create table <name>" output from hive to create the exact same table in impala.
# So, we have to find at least one parquet file (check if it's there) from the table in the ocean cluster for impala to use it to extract the table-schema itself from that file.
impala-shell -q "INVALIDATE METADATA" all_create_view_statements=()
echo "creating schema for ${db}"
for (( k = 0; k < 5; k ++ )); do entities_on_ocean=`hive -e "show tables in ${db};" | sed 's/WARN:.*//g'` # Get the tables and views without any potential the "WARN" logs.
for i in `impala-shell -d ${db} --delimited -q "show tables"`; for i in ${entities_on_ocean[@]}; do # Use un-quoted values, as the elemetns are single-words.
do # Check if this is a view by showing the create-statement where it should print "create view" for a view, not the "create table". Unfortunately, there is no "show views" command.
impala-shell -d ${db} --delimited -q "show create table $i"; create_entity_statement=`hive -e "show create table ${db}.${i};"` # It needs to happen in two stages, otherwise the "grep" is not able to match multi-line statement.
done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f -
create_view_statement_test=`echo -e "$create_entity_statement" | grep 'CREATE VIEW'`
if [ -n "$create_view_statement_test" ]; then
echo -e "\n'${i}' is a view, so we will save its 'create view' statement and execute it on Impala, after all tables have been created.\n"
create_view_statement=`echo -e "$create_entity_statement" | sed 's/WARN:.*//g' | sed 's/\`//g' \
| sed 's/"$/;/' | sed 's/^"//' | sed 's/\\"\\"/\"/g' | sed -e "${LOCATION_HDFS_NODE_SED_ARG}" | sed "${DATE_SED_ARG_1}" | sed "${HASH_SED_ARG_1}" | sed "${LOCATION_SED_ARG_1}" \
| sed "${DATE_SED_ARG_2}" | sed "${HASH_SED_ARG_2}" | sed "${LOCATION_SED_ARG_2}" \
| sed "${DATE_SED_ARG_3}" | sed "${HASH_SED_ARG_3}" | sed "${LOCATION_SED_ARG_3}"`
all_create_view_statements+=("$create_view_statement")
else
echo -e "\n'${i}' is a table, so we will check for its parquet files and create the table on Impala cluster.\n"
CURRENT_PRQ_FILE=`hdfs dfs -conf ${IMPALA_CONFIG_FILE} -ls -C "${IMPALA_HDFS_DB_BASE_PATH}/${db}.db/${i}/" | grep -v 'Found' | grep -v '_impala_insert_staging' | head -1`
if [ -z "$CURRENT_PRQ_FILE" ]; then # If there is not parquet-file inside.
echo -e "\nERROR: THE TABLE \"${i}\" HAD NO FILES TO GET THE SCHEMA FROM! IT'S EMPTY!\n\n"
else
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create table ${db}.${i} like parquet '${CURRENT_PRQ_FILE}' stored as parquet;" |& tee error.log
log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN CREATING TABLE '${i}'!\n\n"
fi
fi
fi
done done
# load the data from /tmp in the respective tables echo -e "\nAll tables have been created, going to create the views..\n"
echo "copying data in tables and computing stats"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "load data inpath '/tmp/$FILE/${db}.db/$i' into table $i";
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "compute stats $i";
done
# deleting the remaining directory from hdfs # Time to loop through the views and create them.
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -rm -R /tmp/$FILE/${db}.db # At this point all table-schemas should have been created.
previous_num_of_views_to_retry=${#all_create_view_statements}
if [[ $previous_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nAll_create_view_statements:\n\n${all_create_view_statements[@]}\n" # DEBUG
# Make Impala aware of the new tables, so it knows them when creating the views.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
else
echo -e "\nDB '${db}' does not contain any views.\n"
fi
level_counter=0
while [[ ${#all_create_view_statements[@]} -gt 0 ]]; do
((level_counter++))
# The only accepted reason for a view to not be created, is if it depends on another view, which has not been created yet.
# In this case, we should retry creating this particular view again.
should_retry_create_view_statements=()
for create_view_statement in "${all_create_view_statements[@]}"; do # Here we use double quotes, as the elements are phrases, instead of single-words.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "${create_view_statement}" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
specific_errors=`cat error.log | grep -E "FAILED: ParseException line 1:13 missing TABLE at 'view'|ERROR: AnalysisException: Could not resolve table reference:"`
if [ -n "$specific_errors" ]; then
echo -e "\nspecific_errors: ${specific_errors}\n"
echo -e "\nView '$(cat error.log | grep "CREATE VIEW " | sed 's/CREATE VIEW //g' | sed 's/ as select .*//g')' failed to be created, possibly because it depends on another view.\n"
should_retry_create_view_statements+=("$create_view_statement")
else
sleep 1 # Wait a bit for Impala to register that the view was created, before possibly referencing it by another view.
fi
done
new_num_of_views_to_retry=${#should_retry_create_view_statements}
if [[ $new_num_of_views_to_retry -eq $previous_num_of_views_to_retry ]]; then
echo -e "\n\nERROR: THE NUMBER OF VIEWS TO RETRY HAS NOT BEEN REDUCED! THE SCRIPT IS LIKELY GOING TO AN INFINITE-LOOP! EXITING..\n\n"
return 3
elif [[ $new_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nTo be retried \"create_view_statements\":\n\n${should_retry_create_view_statements[@]}\n"
previous_num_of_views_to_retry=$new_num_of_views_to_retry
else
echo -e "\nFinished creating views, for db: '${db}', in level-${level_counter}.\n"
fi
all_create_view_statements=("${should_retry_create_view_statement[@]}") # This is needed in any case to either move forward with the rest of the views or stop at 0 remaining views.
done
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
echo -e "\nComputing stats for tables..\n"
entities_on_impala=`impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} --delimited -q "show tables in ${db}"`
for i in ${entities_on_impala[@]}; do # Use un-quoted values, as the elemetns are single-words.
# Taking the create table statement from the Ocean cluster, just to check if its a view, as the output is easier than using impala-shell from Impala cluster.
create_view_statement=`hive -e "show create table ${db}.${i};" | grep "CREATE VIEW"` # This grep works here, as we do not want to match multiple-lines.
if [ -z "$create_view_statement" ]; then # If it's a table, then go load the data to it.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "compute stats ${db}.${i}";
fi
done
if [ "${entities_on_impala[@]}" == "${entities_on_ocean[@]}" ]; then
echo -e "\nAll entities have been copied to Impala cluster.\n"
else
echo -e "\n\nERROR: 1 OR MORE ENTITIES OF DB '${db}' FAILED TO BE COPIED TO IMPALA CLUSTER!\n\n"
rm -f error.log
return 4
fi
rm -f error.log
echo -e "\n\nFinished processing db: ${db}\n\n"
} }
MONITOR_DB=$1 MONITOR_DB=$1
#HADOOP_USER_NAME=$2 #HADOOP_USER_NAME=$2
copydb $MONITOR_DB copydb $MONITOR_DB

222
dhp-workflows/dhp-stats-monitor-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats-monitor/oozie_app/copyDataToImpalaCluster.sh
View File

@ -6,11 +6,14 @@ then
ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder} ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder}
fi fi
#export HADOOP_USER_NAME=$2 export HADOOP_USER_NAME=$2
# Set the active HDFS node of OCEAN and IMPALA cluster.
OCEAN_HDFS_NODE='hdfs://nameservice1'
echo -e "\nOCEAN HDFS virtual-name which resolves automatically to the active-node: ${OCEAN_HDFS_NODE}"
IMPALA_HDFS_NODE='' IMPALA_HDFS_NODE=''
COUNTER=0 COUNTER=0
while [ $COUNTER -lt 3 ]; do while [ $COUNTER -lt 3 ]; do
if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then
IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020' IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020'
@ -24,75 +27,196 @@ while [ $COUNTER -lt 3 ]; do
fi fi
((COUNTER++)) ((COUNTER++))
done done
if [ -z "$IMPALA_HDFS_NODE" ]; then if [ -z "$IMPALA_HDFS_NODE" ]; then
echo -e "\n\nPROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! $COUNTER\n\n" echo -e "\n\nERROR: PROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! | AFTER ${COUNTER} RETRIES.\n\n"
exit 1 exit 1
fi fi
echo "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries." echo -e "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries.\n\n"
IMPALA_HOSTNAME='impala-cluster-dn1.openaire.eu'
IMPALA_CONFIG_FILE='/etc/impala_cluster/hdfs-site.xml'
IMPALA_HDFS_DB_BASE_PATH="${IMPALA_HDFS_NODE}/user/hive/warehouse"
# Set sed arguments.
LOCATION_HDFS_NODE_SED_ARG="s|${OCEAN_HDFS_NODE}|${IMPALA_HDFS_NODE}|g" # This requires to be used with "sed -e" in order to have the "|" delimiter (as the "/" conflicts with the URIs)
# Set the SED command arguments for column-names with reserved words:
DATE_SED_ARG_1='s/[[:space:]]\date[[:space:]]/\`date\`/g'
DATE_SED_ARG_2='s/\.date,/\.\`date\`,/g' # the "date" may be part of a larger field name like "datestamp" or "date_aggregated", so we need to be careful with what we are replacing.
DATE_SED_ARG_3='s/\.date[[:space:]]/\.\`date\` /g'
HASH_SED_ARG_1='s/[[:space:]]\hash[[:space:]]/\`hash\`/g'
HASH_SED_ARG_2='s/\.hash,/\.\`hash\`,/g'
HASH_SED_ARG_3='s/\.hash[[:space:]]/\.\`hash\` /g'
LOCATION_SED_ARG_1='s/[[:space:]]\location[[:space:]]/\`location\`/g'
LOCATION_SED_ARG_2='s/\.location,/\.\`location\`,/g'
LOCATION_SED_ARG_3='s/\.location[[:space:]]/\.\`location\` /g'
function copydb() { function copydb() {
export HADOOP_USER="dimitris.pierrakos"
export HADOOP_USER_NAME='dimitris.pierrakos'
db=$1 db=$1
FILE=("hive_wf_tmp_"$RANDOM) echo -e "\nStart processing db: '${db}'..\n"
hdfs dfs -mkdir ${IMPALA_HDFS_NODE}/tmp/$FILE/φ
# change ownership to impala # Delete the old DB from Impala cluster (if exists).
# hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "drop database if exists ${db} cascade" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/ log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN DROPPING THE OLD DATABASE! EXITING...\n\n"
rm -f error.log
return 1
fi
# Make Impala aware of the deletion of the old DB immediately.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
# copy the databases from ocean to impala echo -e "\n\nCopying files of '${db}', from Ocean to Impala cluster..\n"
echo "copying $db" # Using max-bandwidth of: 50 * 100 Mb/s = 5 Gb/s
hadoop distcp -Dmapreduce.map.memory.mb=6144 -pb hdfs://nameservice1/user/hive/warehouse/${db}.db ${IMPALA_HDFS_NODE}/tmp/$FILE/ # Using max memory of: 50 * 6144 = 300 Gb
# Using 1MB as a buffer-size.
# The " -Ddistcp.dynamic.recordsPerChunk=50" arg is not available in our version of hadoop
# The "ug" args cannot be used as we get a "User does not belong to hive" error.
# The "p" argument cannot be used, as it blocks the files from being used, giving a "sticky bit"-error, even after applying chmod and chown onm the files.
hadoop distcp -Dmapreduce.map.memory.mb=6144 -m 70 -bandwidth 150 \
-numListstatusThreads 40 \
-copybuffersize 1048576 \
-strategy dynamic \
-pb \
${OCEAN_HDFS_NODE}/user/hive/warehouse/${db}.db ${IMPALA_HDFS_DB_BASE_PATH}
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db # Check the exit status of the "hadoop distcp" command.
if [ $? -eq 0 ]; then
echo -e "\nSuccessfully copied the files of '${db}'.\n"
else
echo -e "\n\nERROR: FAILED TO TRANSFER THE FILES OF '${db}', WITH 'hadoop distcp'. GOT WITH EXIT STATUS: $?\n\n"
rm -f error.log
return 2
fi
# drop tables from db # In case we ever use this script for a writable DB (using inserts/updates), we should perform the following costly operation as well..
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`; #hdfs dfs -conf ${IMPALA_CONFIG_FILE} -chmod -R 777 ${TEMP_SUBDIR_FULLPATH}/${db}.db
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`;
done
# drop views from db echo -e "\nCreating schema for db: '${db}'\n"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`;
done
# delete the database # create the new database (with the same name)
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database if exists ${db} cascade"; impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create database ${db}"
# create the databases # Make Impala aware of the creation of the new DB immediately.
impala-shell -i impala-cluster-dn1.openaire.eu -q "create database ${db}"; sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
# Because "Hive" and "Impala" do not have compatible schemas, we cannot use the "show create table <name>" output from hive to create the exact same table in impala.
# So, we have to find at least one parquet file (check if it's there) from the table in the ocean cluster for impala to use it to extract the table-schema itself from that file.
impala-shell -q "INVALIDATE METADATA" all_create_view_statements=()
echo "creating schema for ${db}"
for (( k = 0; k < 5; k ++ )); do entities_on_ocean=`hive -e "show tables in ${db};" | sed 's/WARN:.*//g'` # Get the tables and views without any potential the "WARN" logs.
for i in `impala-shell -d ${db} --delimited -q "show tables"`; for i in ${entities_on_ocean[@]}; do # Use un-quoted values, as the elemetns are single-words.
do # Check if this is a view by showing the create-statement where it should print "create view" for a view, not the "create table". Unfortunately, there is no "show views" command.
impala-shell -d ${db} --delimited -q "show create table $i"; create_entity_statement=`hive -e "show create table ${db}.${i};"` # It needs to happen in two stages, otherwise the "grep" is not able to match multi-line statement.
done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f -
create_view_statement_test=`echo -e "$create_entity_statement" | grep 'CREATE VIEW'`
if [ -n "$create_view_statement_test" ]; then
echo -e "\n'${i}' is a view, so we will save its 'create view' statement and execute it on Impala, after all tables have been created.\n"
create_view_statement=`echo -e "$create_entity_statement" | sed 's/WARN:.*//g' | sed 's/\`//g' \
| sed 's/"$/;/' | sed 's/^"//' | sed 's/\\"\\"/\"/g' | sed -e "${LOCATION_HDFS_NODE_SED_ARG}" | sed "${DATE_SED_ARG_1}" | sed "${HASH_SED_ARG_1}" | sed "${LOCATION_SED_ARG_1}" \
| sed "${DATE_SED_ARG_2}" | sed "${HASH_SED_ARG_2}" | sed "${LOCATION_SED_ARG_2}" \
| sed "${DATE_SED_ARG_3}" | sed "${HASH_SED_ARG_3}" | sed "${LOCATION_SED_ARG_3}"`
all_create_view_statements+=("$create_view_statement")
else
echo -e "\n'${i}' is a table, so we will check for its parquet files and create the table on Impala cluster.\n"
CURRENT_PRQ_FILE=`hdfs dfs -conf ${IMPALA_CONFIG_FILE} -ls -C "${IMPALA_HDFS_DB_BASE_PATH}/${db}.db/${i}/" | grep -v 'Found' | grep -v '_impala_insert_staging' | head -1`
if [ -z "$CURRENT_PRQ_FILE" ]; then # If there is not parquet-file inside.
echo -e "\nERROR: THE TABLE \"${i}\" HAD NO FILES TO GET THE SCHEMA FROM! IT'S EMPTY!\n\n"
else
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create table ${db}.${i} like parquet '${CURRENT_PRQ_FILE}' stored as parquet;" |& tee error.log
log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN CREATING TABLE '${i}'!\n\n"
fi
fi
fi
done done
# load the data from /tmp in the respective tables echo -e "\nAll tables have been created, going to create the views..\n"
echo "copying data in tables and computing stats"
for i in `impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "load data inpath '/tmp/$FILE/${db}.db/$i' into table $i";
impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "compute stats $i";
done
# deleting the remaining directory from hdfs # Time to loop through the views and create them.
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -rm -R /tmp/$FILE/${db}.db # At this point all table-schemas should have been created.
previous_num_of_views_to_retry=${#all_create_view_statements}
if [[ $previous_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nAll_create_view_statements:\n\n${all_create_view_statements[@]}\n" # DEBUG
# Make Impala aware of the new tables, so it knows them when creating the views.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
else
echo -e "\nDB '${db}' does not contain any views.\n"
fi
level_counter=0
while [[ ${#all_create_view_statements[@]} -gt 0 ]]; do
((level_counter++))
# The only accepted reason for a view to not be created, is if it depends on another view, which has not been created yet.
# In this case, we should retry creating this particular view again.
should_retry_create_view_statements=()
for create_view_statement in "${all_create_view_statements[@]}"; do # Here we use double quotes, as the elements are phrases, instead of single-words.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "${create_view_statement}" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
specific_errors=`cat error.log | grep -E "FAILED: ParseException line 1:13 missing TABLE at 'view'|ERROR: AnalysisException: Could not resolve table reference:"`
if [ -n "$specific_errors" ]; then
echo -e "\nspecific_errors: ${specific_errors}\n"
echo -e "\nView '$(cat error.log | grep "CREATE VIEW " | sed 's/CREATE VIEW //g' | sed 's/ as select .*//g')' failed to be created, possibly because it depends on another view.\n"
should_retry_create_view_statements+=("$create_view_statement")
else
sleep 1 # Wait a bit for Impala to register that the view was created, before possibly referencing it by another view.
fi
done
new_num_of_views_to_retry=${#should_retry_create_view_statements}
if [[ $new_num_of_views_to_retry -eq $previous_num_of_views_to_retry ]]; then
echo -e "\n\nERROR: THE NUMBER OF VIEWS TO RETRY HAS NOT BEEN REDUCED! THE SCRIPT IS LIKELY GOING TO AN INFINITE-LOOP! EXITING..\n\n"
return 3
elif [[ $new_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nTo be retried \"create_view_statements\":\n\n${should_retry_create_view_statements[@]}\n"
previous_num_of_views_to_retry=$new_num_of_views_to_retry
else
echo -e "\nFinished creating views, for db: '${db}', in level-${level_counter}.\n"
fi
all_create_view_statements=("${should_retry_create_view_statement[@]}") # This is needed in any case to either move forward with the rest of the views or stop at 0 remaining views.
done
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
echo -e "\nComputing stats for tables..\n"
entities_on_impala=`impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} --delimited -q "show tables in ${db}"`
for i in ${entities_on_impala[@]}; do # Use un-quoted values, as the elemetns are single-words.
# Taking the create table statement from the Ocean cluster, just to check if its a view, as the output is easier than using impala-shell from Impala cluster.
create_view_statement=`hive -e "show create table ${db}.${i};" | grep "CREATE VIEW"` # This grep works here, as we do not want to match multiple-lines.
if [ -z "$create_view_statement" ]; then # If it's a table, then go load the data to it.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "compute stats ${db}.${i}";
fi
done
if [ "${entities_on_impala[@]}" == "${entities_on_ocean[@]}" ]; then
echo -e "\nAll entities have been copied to Impala cluster.\n"
else
echo -e "\n\nERROR: 1 OR MORE ENTITIES OF DB '${db}' FAILED TO BE COPIED TO IMPALA CLUSTER!\n\n"
rm -f error.log
return 4
fi
rm -f error.log
echo -e "\n\nFinished processing db: ${db}\n\n"
} }
MONITOR_DB=$1 MONITOR_DB=$1
#HADOOP_USER_NAME=$2
copydb $MONITOR_DB'_institutions' copydb $MONITOR_DB'_institutions'
copydb $MONITOR_DB copydb $MONITOR_DB

225
dhp-workflows/dhp-stats-update/src/main/resources/eu/dnetlib/dhp/oa/graph/stats/oozie_app/copyDataToImpalaCluster.sh
View File

@ -6,9 +6,13 @@ then
ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder} ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder}
fi fi
# Set the active HDFS node of OCEAN and IMPALA cluster.
OCEAN_HDFS_NODE='hdfs://nameservice1'
echo -e "\nOCEAN HDFS virtual-name which resolves automatically to the active-node: ${OCEAN_HDFS_NODE}"
IMPALA_HDFS_NODE='' IMPALA_HDFS_NODE=''
COUNTER=0 COUNTER=0
while [ $COUNTER -lt 3 ]; do while [ $COUNTER -lt 3 ]; do
if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then if hdfs dfs -test -e hdfs://impala-cluster-mn1.openaire.eu/tmp >/dev/null 2>&1; then
IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020' IMPALA_HDFS_NODE='hdfs://impala-cluster-mn1.openaire.eu:8020'
@ -22,76 +26,195 @@ while [ $COUNTER -lt 3 ]; do
fi fi
((COUNTER++)) ((COUNTER++))
done done
if [ -z "$IMPALA_HDFS_NODE" ]; then if [ -z "$IMPALA_HDFS_NODE" ]; then
echo -e "\n\nPROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! $COUNTER\n\n" echo -e "\n\nERROR: PROBLEM WHEN SETTING THE HDFS-NODE FOR IMPALA CLUSTER! | AFTER ${COUNTER} RETRIES.\n\n"
exit 1 exit 1
fi fi
echo "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries." echo -e "Active IMPALA HDFS Node: ${IMPALA_HDFS_NODE} , after ${COUNTER} retries.\n\n"
IMPALA_HOSTNAME='impala-cluster-dn1.openaire.eu'
IMPALA_CONFIG_FILE='/etc/impala_cluster/hdfs-site.xml'
IMPALA_HDFS_DB_BASE_PATH="${IMPALA_HDFS_NODE}/user/hive/warehouse"
# Set sed arguments.
LOCATION_HDFS_NODE_SED_ARG="s|${OCEAN_HDFS_NODE}|${IMPALA_HDFS_NODE}|g" # This requires to be used with "sed -e" in order to have the "|" delimiter (as the "/" conflicts with the URIs)
# Set the SED command arguments for column-names with reserved words:
DATE_SED_ARG_1='s/[[:space:]]\date[[:space:]]/\`date\`/g'
DATE_SED_ARG_2='s/\.date,/\.\`date\`,/g' # the "date" may be part of a larger field name like "datestamp" or "date_aggregated", so we need to be careful with what we are replacing.
DATE_SED_ARG_3='s/\.date[[:space:]]/\.\`date\` /g'
HASH_SED_ARG_1='s/[[:space:]]\hash[[:space:]]/\`hash\`/g'
HASH_SED_ARG_2='s/\.hash,/\.\`hash\`,/g'
HASH_SED_ARG_3='s/\.hash[[:space:]]/\.\`hash\` /g'
LOCATION_SED_ARG_1='s/[[:space:]]\location[[:space:]]/\`location\`/g'
LOCATION_SED_ARG_2='s/\.location,/\.\`location\`,/g'
LOCATION_SED_ARG_3='s/\.location[[:space:]]/\.\`location\` /g'
export HADOOP_USER_NAME=$6 export HADOOP_USER_NAME=$6
export PROD_USAGE_STATS_DB="openaire_prod_usage_stats" export PROD_USAGE_STATS_DB="openaire_prod_usage_stats"
function copydb() { function copydb() {
db=$1 db=$1
FILE=("hive_wf_tmp_"$RANDOM) echo -e "\nStart processing db: '${db}'..\n"
hdfs dfs -mkdir ${IMPALA_HDFS_NODE}/tmp/$FILE/
# copy the databases from ocean to impala
echo "copying $db" # Delete the old DB from Impala cluster (if exists).
hadoop distcp -Dmapreduce.map.memory.mb=6144 -pb hdfs://nameservice1/user/hive/warehouse/${db}.db ${IMPALA_HDFS_NODE}/tmp/$FILE/ impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "drop database if exists ${db} cascade" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN DROPPING THE OLD DATABASE! EXITING...\n\n"
rm -f error.log
return 1
fi
# change ownership to impala # Make Impala aware of the deletion of the old DB immediately.
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
# drop tables from db echo -e "\n\nCopying files of '${db}', from Ocean to Impala cluster..\n"
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`; # Using max-bandwidth of: 50 * 100 Mb/s = 5 Gb/s
do # Using max memory of: 50 * 6144 = 300 Gb
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop table $i;"`; # Using 1MB as a buffer-size.
done # The " -Ddistcp.dynamic.recordsPerChunk=50" arg is not available in our version of hadoop
# The "ug" args cannot be used as we get a "User does not belong to hive" error.
# The "p" argument cannot be used, as it blocks the files from being used, giving a "sticky bit"-error, even after applying chmod and chown onm the files.
hadoop distcp -Dmapreduce.map.memory.mb=6144 -m 70 -bandwidth 150 \
-numListstatusThreads 40 \
-copybuffersize 1048576 \
-strategy dynamic \
-pb \
${OCEAN_HDFS_NODE}/user/hive/warehouse/${db}.db ${IMPALA_HDFS_DB_BASE_PATH}
# drop views from db # Check the exit status of the "hadoop distcp" command.
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`; if [ $? -eq 0 ]; then
do echo -e "\nSuccessfully copied the files of '${db}'.\n"
`impala-shell -i impala-cluster-dn1.openaire.eu -d ${db} -q "drop view $i;"`; else
done echo -e "\n\nERROR: FAILED TO TRANSFER THE FILES OF '${db}', WITH 'hadoop distcp'. GOT WITH EXIT STATUS: $?\n\n"
rm -f error.log
return 2
fi
# delete the database # In case we ever use this script for a writable DB (using inserts/updates), we should perform the following costly operation as well..
impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -q "drop database if exists ${db} cascade"; #hdfs dfs -conf ${IMPALA_CONFIG_FILE} -chmod -R 777 ${TEMP_SUBDIR_FULLPATH}/${db}.db
# create the databases echo -e "\nCreating schema for db: '${db}'\n"
impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -q "create database ${db}";
impala-shell --user $HADOOP_USER_NAME -q "INVALIDATE METADATA" # create the new database (with the same name)
echo "creating schema for ${db}" impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create database ${db}"
for (( k = 0; k < 5; k ++ )); do
for i in `impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show tables"`; # Make Impala aware of the creation of the new DB immediately.
do sleep 1
impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show create table $i"; impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f - sleep 1
# Because "Hive" and "Impala" do not have compatible schemas, we cannot use the "show create table <name>" output from hive to create the exact same table in impala.
# So, we have to find at least one parquet file (check if it's there) from the table in the ocean cluster for impala to use it to extract the table-schema itself from that file.
all_create_view_statements=()
entities_on_ocean=`hive -e "show tables in ${db};" | sed 's/WARN:.*//g'` # Get the tables and views without any potential the "WARN" logs.
for i in ${entities_on_ocean[@]}; do # Use un-quoted values, as the elemetns are single-words.
# Check if this is a view by showing the create-statement where it should print "create view" for a view, not the "create table". Unfortunately, there is no "show views" command.
create_entity_statement=`hive -e "show create table ${db}.${i};"` # It needs to happen in two stages, otherwise the "grep" is not able to match multi-line statement.
create_view_statement_test=`echo -e "$create_entity_statement" | grep 'CREATE VIEW'`
if [ -n "$create_view_statement_test" ]; then
echo -e "\n'${i}' is a view, so we will save its 'create view' statement and execute it on Impala, after all tables have been created.\n"
create_view_statement=`echo -e "$create_entity_statement" | sed 's/WARN:.*//g' | sed 's/\`//g' \
| sed 's/"$/;/' | sed 's/^"//' | sed 's/\\"\\"/\"/g' | sed -e "${LOCATION_HDFS_NODE_SED_ARG}" | sed "${DATE_SED_ARG_1}" | sed "${HASH_SED_ARG_1}" | sed "${LOCATION_SED_ARG_1}" \
| sed "${DATE_SED_ARG_2}" | sed "${HASH_SED_ARG_2}" | sed "${LOCATION_SED_ARG_2}" \
| sed "${DATE_SED_ARG_3}" | sed "${HASH_SED_ARG_3}" | sed "${LOCATION_SED_ARG_3}"`
all_create_view_statements+=("$create_view_statement")
else
echo -e "\n'${i}' is a table, so we will check for its parquet files and create the table on Impala cluster.\n"
CURRENT_PRQ_FILE=`hdfs dfs -conf ${IMPALA_CONFIG_FILE} -ls -C "${IMPALA_HDFS_DB_BASE_PATH}/${db}.db/${i}/" | grep -v 'Found' | grep -v '_impala_insert_staging' | head -1`
if [ -z "$CURRENT_PRQ_FILE" ]; then # If there is not parquet-file inside.
echo -e "\nERROR: THE TABLE \"${i}\" HAD NO FILES TO GET THE SCHEMA FROM! IT'S EMPTY!\n\n"
else
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "create table ${db}.${i} like parquet '${CURRENT_PRQ_FILE}' stored as parquet;" |& tee error.log
log_errors=`cat error.log | grep -E "WARN|ERROR|FAILED"`
if [ -n "$log_errors" ]; then
echo -e "\n\nERROR: THERE WAS A PROBLEM WHEN CREATING TABLE '${i}'!\n\n"
fi
fi
fi
done done
# for i in `impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show tables"`; echo -e "\nAll tables have been created, going to create the views..\n"
# do
# impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show create table $i";
# done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f -
#
# # run the same command twice because we may have failures in the first run (due to views pointing to the same db)
# for i in `impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show tables"`;
# do
# impala-shell --user $HADOOP_USER_NAME -d ${db} --delimited -q "show create table $i";
# done | sed 's/"$/;/' | sed 's/^"//' | sed 's/[[:space:]]\date[[:space:]]/`date`/g' | impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -c -f -
# load the data from /tmp in the respective tables # Time to loop through the views and create them.
echo "copying data in tables and computing stats" # At this point all table-schemas should have been created.
for i in `impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} --delimited -q "show tables"`;
do
impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} -q "load data inpath '/tmp/$FILE/${db}.db/$i' into table $i";
impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -d ${db} -q "compute stats $i";
done
# deleting the remaining directory from hdfs previous_num_of_views_to_retry=${#all_create_view_statements}
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -rm -R /tmp/$FILE/${db}.db if [[ $previous_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nAll_create_view_statements:\n\n${all_create_view_statements[@]}\n" # DEBUG
# Make Impala aware of the new tables, so it knows them when creating the views.
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
else
echo -e "\nDB '${db}' does not contain any views.\n"
fi
level_counter=0
while [[ ${#all_create_view_statements[@]} -gt 0 ]]; do
((level_counter++))
# The only accepted reason for a view to not be created, is if it depends on another view, which has not been created yet.
# In this case, we should retry creating this particular view again.
should_retry_create_view_statements=()
for create_view_statement in "${all_create_view_statements[@]}"; do # Here we use double quotes, as the elements are phrases, instead of single-words.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "${create_view_statement}" |& tee error.log # impala-shell prints all logs in stderr, so wee need to capture them and put them in a file, in order to perform "grep" on them later
specific_errors=`cat error.log | grep -E "FAILED: ParseException line 1:13 missing TABLE at 'view'|ERROR: AnalysisException: Could not resolve table reference:"`
if [ -n "$specific_errors" ]; then
echo -e "\nspecific_errors: ${specific_errors}\n"
echo -e "\nView '$(cat error.log | grep "CREATE VIEW " | sed 's/CREATE VIEW //g' | sed 's/ as select .*//g')' failed to be created, possibly because it depends on another view.\n"
should_retry_create_view_statements+=("$create_view_statement")
else
sleep 1 # Wait a bit for Impala to register that the view was created, before possibly referencing it by another view.
fi
done
new_num_of_views_to_retry=${#should_retry_create_view_statements}
if [[ $new_num_of_views_to_retry -eq $previous_num_of_views_to_retry ]]; then
echo -e "\n\nERROR: THE NUMBER OF VIEWS TO RETRY HAS NOT BEEN REDUCED! THE SCRIPT IS LIKELY GOING TO AN INFINITE-LOOP! EXITING..\n\n"
return 3
elif [[ $new_num_of_views_to_retry -gt 0 ]]; then
echo -e "\nTo be retried \"create_view_statements\":\n\n${should_retry_create_view_statements[@]}\n"
previous_num_of_views_to_retry=$new_num_of_views_to_retry
else
echo -e "\nFinished creating views, for db: '${db}', in level-${level_counter}.\n"
fi
all_create_view_statements=("${should_retry_create_view_statement[@]}") # This is needed in any case to either move forward with the rest of the views or stop at 0 remaining views.
done
sleep 1
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "INVALIDATE METADATA"
sleep 1
echo -e "\nComputing stats for tables..\n"
entities_on_impala=`impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} --delimited -q "show tables in ${db}"`
for i in ${entities_on_impala[@]}; do # Use un-quoted values, as the elemetns are single-words.
# Taking the create table statement from the Ocean cluster, just to check if its a view, as the output is easier than using impala-shell from Impala cluster.
create_view_statement=`hive -e "show create table ${db}.${i};" | grep "CREATE VIEW"` # This grep works here, as we do not want to match multiple-lines.
if [ -z "$create_view_statement" ]; then # If it's a table, then go load the data to it.
impala-shell --user ${HADOOP_USER_NAME} -i ${IMPALA_HOSTNAME} -q "compute stats ${db}.${i}";
fi
done
if [ "${entities_on_impala[@]}" == "${entities_on_ocean[@]}" ]; then
echo -e "\nAll entities have been copied to Impala cluster.\n"
else
echo -e "\n\nERROR: 1 OR MORE ENTITIES OF DB '${db}' FAILED TO BE COPIED TO IMPALA CLUSTER!\n\n"
rm -f error.log
return 4
fi
rm -f error.log
echo -e "\n\nFinished processing db: ${db}\n\n"
} }
STATS_DB=$1 STATS_DB=$1