master #59

Closed
claudio.atzori wants to merge 3221 commits from master into stable_ids
20 changed files with 664 additions and 596 deletions
Showing only changes of commit 8acad52a0c - Show all commits

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@ -114,10 +114,10 @@ public class CreateActionSetSparkJob implements Serializable {
if (!citing.equals(cited)) { if (!citing.equals(cited)) {
relationList relationList
.addAll( .add(
getRelations( getRelation(
citing, citing,
cited)); cited, ModelConstants.CITES));
if (duplicate && value.getCiting().endsWith(".refs")) { if (duplicate && value.getCiting().endsWith(".refs")) {
citing = ID_PREFIX + IdentifierFactory citing = ID_PREFIX + IdentifierFactory
@ -125,7 +125,7 @@ public class CreateActionSetSparkJob implements Serializable {
CleaningFunctions CleaningFunctions
.normalizePidValue( .normalizePidValue(
"doi", value.getCiting().substring(0, value.getCiting().indexOf(".refs")))); "doi", value.getCiting().substring(0, value.getCiting().indexOf(".refs"))));
relationList.addAll(getRelations(citing, cited)); relationList.add(getRelation(citing, cited, ModelConstants.CITES));
} }
} }

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@ -99,7 +99,7 @@ public class CreateOpenCitationsASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload())); .map(aa -> ((Relation) aa.getPayload()));
assertEquals(62, tmp.count()); assertEquals(31, tmp.count());
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r))); // tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
@ -131,7 +131,7 @@ public class CreateOpenCitationsASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload())); .map(aa -> ((Relation) aa.getPayload()));
assertEquals(46, tmp.count()); assertEquals(23, tmp.count());
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r))); // tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
@ -241,7 +241,7 @@ public class CreateOpenCitationsASTest {
assertEquals("resultResult", r.getRelType()); assertEquals("resultResult", r.getRelType());
}); });
assertEquals(23, tmp.filter(r -> r.getRelClass().equals("Cites")).count()); assertEquals(23, tmp.filter(r -> r.getRelClass().equals("Cites")).count());
assertEquals(23, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count()); assertEquals(0, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count());
} }
@ -318,15 +318,15 @@ public class CreateOpenCitationsASTest {
JavaRDD<Relation> check = tmp.filter(r -> r.getSource().equals(doi1) || r.getTarget().equals(doi1)); JavaRDD<Relation> check = tmp.filter(r -> r.getSource().equals(doi1) || r.getTarget().equals(doi1));
assertEquals(10, check.count()); assertEquals(5, check.count());
check.foreach(r -> { // check.foreach(r -> {
if (r.getSource().equals(doi2) || r.getSource().equals(doi3) || r.getSource().equals(doi4) || // if (r.getSource().equals(doi2) || r.getSource().equals(doi3) || r.getSource().equals(doi4) ||
r.getSource().equals(doi5) || r.getSource().equals(doi6)) { // r.getSource().equals(doi5) || r.getSource().equals(doi6)) {
assertEquals(ModelConstants.IS_CITED_BY, r.getRelClass()); // assertEquals(ModelConstants.IS_CITED_BY, r.getRelClass());
assertEquals(doi1, r.getTarget()); // assertEquals(doi1, r.getTarget());
} // }
}); // });
assertEquals(5, check.filter(r -> r.getSource().equals(doi1)).count()); assertEquals(5, check.filter(r -> r.getSource().equals(doi1)).count());
check.filter(r -> r.getSource().equals(doi1)).foreach(r -> assertEquals(ModelConstants.CITES, r.getRelClass())); check.filter(r -> r.getSource().equals(doi1)).foreach(r -> assertEquals(ModelConstants.CITES, r.getRelClass()));

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@ -72,33 +72,28 @@ public class PrepareResultCommunitySet {
String outputPath, String outputPath,
OrganizationMap organizationMap) { OrganizationMap organizationMap) {
Dataset<Relation> relationAffiliation = readPath(spark, inputPath, Relation.class) Dataset<Relation> relation = readPath(spark, inputPath, Relation.class);
.filter( relation.createOrReplaceTempView("relation");
(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
r.getRelClass().equalsIgnoreCase(ModelConstants.HAS_AUTHOR_INSTITUTION));
Dataset<Relation> relationOrganization = readPath(spark, inputPath, Relation.class) String query = "SELECT result_organization.source resultId, result_organization.target orgId, org_set merges "
.filter( + "FROM (SELECT source, target "
(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() && + " FROM relation "
r.getRelClass().equalsIgnoreCase(ModelConstants.MERGES)); + " WHERE datainfo.deletedbyinference = false "
+ " AND lower(relClass) = '"
+ ModelConstants.HAS_AUTHOR_INSTITUTION.toLowerCase()
+ "') result_organization "
+ "LEFT JOIN (SELECT source, collect_set(target) org_set "
+ " FROM relation "
+ " WHERE datainfo.deletedbyinference = false "
+ " AND lower(relClass) = '"
+ ModelConstants.MERGES.toLowerCase()
+ "' "
+ " GROUP BY source) organization_organization "
+ "ON result_organization.target = organization_organization.source ";
Dataset<ResultOrganizations> result_organizationset = relationAffiliation Dataset<ResultOrganizations> result_organizationset = spark
.joinWith( .sql(query)
relationOrganization, .as(Encoders.bean(ResultOrganizations.class));
relationAffiliation.col("target").equalTo(relationOrganization.col("source")),
"left")
.groupByKey((MapFunction<Tuple2<Relation, Relation>, String>) t2 -> t2._2().getSource(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, Tuple2<Relation, Relation>, ResultOrganizations>) (k, it) -> {
ResultOrganizations rOrgs = new ResultOrganizations();
rOrgs.setOrgId(k);
Tuple2<Relation, Relation> first = it.next();
rOrgs.setResultId(first._1().getSource());
ArrayList<String> merges = new ArrayList<>();
merges.add(first._2().getTarget());
it.forEachRemaining(t -> merges.add(t._2().getTarget()));
rOrgs.setMerges(merges);
return rOrgs;
}, Encoders.bean(ResultOrganizations.class));
result_organizationset result_organizationset
.map(mapResultCommunityFn(organizationMap), Encoders.bean(ResultCommunityList.class)) .map(mapResultCommunityFn(organizationMap), Encoders.bean(ResultCommunityList.class))

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@ -78,6 +78,8 @@ public class GetDatasourceFromCountry implements Serializable {
Encoders.bean(Organization.class)) Encoders.bean(Organization.class))
.filter( .filter(
(FilterFunction<Organization>) o -> !o.getDataInfo().getDeletedbyinference() && (FilterFunction<Organization>) o -> !o.getDataInfo().getDeletedbyinference() &&
o.getCountry() != null &&
o.getCountry().getClassid() != null &&
o.getCountry().getClassid().length() > 0 && o.getCountry().getClassid().length() > 0 &&
o.getCountry().getClassid().equals(country)); o.getCountry().getClassid().equals(country));

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@ -9,6 +9,8 @@ fi
CONTEXT_API=$1 CONTEXT_API=$1
TARGET_DB=$2 TARGET_DB=$2
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=4831838208 -hiveconf spark.yarn.executor.memoryOverhead=450"
TMP=/tmp/stats-update-`tr -dc A-Za-z0-9 </dev/urandom | head -c 6` TMP=/tmp/stats-update-`tr -dc A-Za-z0-9 </dev/urandom | head -c 6`
echo "Downloading context ids" echo "Downloading context ids"
@ -29,19 +31,18 @@ hdfs dfs -copyFromLocal categories.csv ${TMP}
hdfs dfs -copyFromLocal concepts.csv ${TMP} hdfs dfs -copyFromLocal concepts.csv ${TMP}
hdfs dfs -chmod -R 777 ${TMP} hdfs dfs -chmod -R 777 ${TMP}
export HADOOP_USER="oozie"
export HADOOP_USER_NAME="oozie"
echo "Creating and populating impala tables" echo "Creating and populating impala tables"
impala-shell -q "invalidate metadata" hive $HIVE_OPTS -e "create table ${TARGET_DB}.context (id string, name string) row format delimited fields terminated by ','"
impala-shell -d ${TARGET_DB} -q "invalidate metadata" hive $HIVE_OPTS -e "create table ${TARGET_DB}.category (context string, id string, name string) row format delimited fields terminated by ','"
impala-shell -q "create table ${TARGET_DB}.context (id string, name string) row format delimited fields terminated by ','" hive $HIVE_OPTS -e "create table ${TARGET_DB}.concept (category string, id string, name string) row format delimited fields terminated by ','"
impala-shell -q "create table ${TARGET_DB}.category (context string, id string, name string) row format delimited fields terminated by ','" hive $HIVE_OPTS -e "load data inpath '${TMP}/contexts.csv' into table ${TARGET_DB}.context"
impala-shell -q "create table ${TARGET_DB}.concept (category string, id string, name string) row format delimited fields terminated by ','" hive $HIVE_OPTS -e "load data inpath '${TMP}/categories.csv' into table ${TARGET_DB}.category"
impala-shell -d ${TARGET_DB} -q "invalidate metadata" hive $HIVE_OPTS -e "load data inpath '${TMP}/concepts.csv' into table ${TARGET_DB}.concept"
impala-shell -q "load data inpath '${TMP}/contexts.csv' into table ${TARGET_DB}.context"
impala-shell -q "load data inpath '${TMP}/categories.csv' into table ${TARGET_DB}.category"
impala-shell -q "load data inpath '${TMP}/concepts.csv' into table ${TARGET_DB}.concept"
echo "Cleaning up" echo "Cleaning up"
hdfs dfs -rm -f -r -skipTrash ${TMP}
rm concepts.csv rm concepts.csv
rm categories.csv rm categories.csv
rm contexts.csv rm contexts.csv

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@ -0,0 +1,63 @@
export PYTHON_EGG_CACHE=/home/$(whoami)/.python-eggs
export link_folder=/tmp/impala-shell-python-egg-cache-$(whoami)
if ! [ -L $link_folder ]
then
rm -Rf "$link_folder"
ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder}
fi
#export HADOOP_USER_NAME="dimitris.pierrakos"
export HADOOP_USER_NAME=$5
function copydb() {
db=$1
FILE=("hive_wf_tmp_"$RANDOM)
hdfs dfs -mkdir hdfs://impala-cluster-mn1.openaire.eu:8020/tmp/$FILE/
# copy the databases from ocean to impala
echo "copying $db"
hadoop distcp -Dmapreduce.map.memory.mb=6144 -pb hdfs://nameservice1/user/hive/warehouse/${db}.db hdfs://impala-cluster-mn1.openaire.eu:8020/tmp/$FILE/
# change ownership to impala
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -chmod -R 777 /tmp/$FILE/${db}.db
# create the databases
impala-shell --user $HADOOP_USER_NAME -i impala-cluster-dn1.openaire.eu -q "drop database if exists ${db} cascade";
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"
echo "creating schema for ${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 -
# 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
echo "copying data in tables and computing stats"
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 $i";
done
# deleting the remaining directory from hdfs
hdfs dfs -conf /etc/impala_cluster/hdfs-site.xml -rm -R /tmp/$FILE/${db}.db
}
STATS_DB=$1
MONITOR_DB=$2
OBSERVATORY_DB=$3
EXT_DB=$4
HADOOP_USER_NAME=$5
copydb $EXT_DB
copydb $STATS_DB
copydb $MONITOR_DB
copydb $OBSERVATORY_DB

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@ -0,0 +1,28 @@
export PYTHON_EGG_CACHE=/home/$(whoami)/.python-eggs
export link_folder=/tmp/impala-shell-python-egg-cache-$(whoami)
if ! [ -L $link_folder ]
then
rm -Rf "$link_folder"
ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder}
fi
function createShadowDB() {
SOURCE=$1
SHADOW=$2
impala-shell -i impala-cluster-dn1.openaire.eu -q "drop database ${SHADOW} CASCADE";
impala-shell -i impala-cluster-dn1.openaire.eu -q "create database if not exists ${SHADOW}";
# impala-shell -i impala-cluster-dn1.openaire.eu -d ${SHADOW} -q "show tables" | sed "s/^/drop view if exists ${SHADOW}./" | sed "s/$/;/" | impala-shell -i impala-cluster-dn1.openaire.eu -f -
impala-shell -i impala-cluster-dn1.openaire.eu -d ${SOURCE} -q "show tables" --delimited | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${SOURCE}.\1;/" | impala-shell -i impala-cluster-dn1.openaire.eu -f -
}
STATS_DB=$1
STATS_DB_SHADOW=$2
MONITOR_DB=$3
MONITOR_DB_SHADOW=$4
OBSERVATORY_DB=$5
OBSERVATORY_DB_SHADOW=$6
createShadowDB $STATS_DB $STATS_DB_SHADOW
createShadowDB $MONITOR_DB $MONITOR_DB_SHADOW
createShadowDB $OBSERVATORY_DB $OBSERVATORY_DB_SHADOW

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@ -8,12 +8,12 @@ fi
export SOURCE=$1 export SOURCE=$1
export SHADOW=$2 export SHADOW=$2
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
export HADOOP_USER_NAME="oozie"
echo "Updating shadow database" echo "Updating shadow database"
impala-shell -q "invalidate metadata" hive -e "drop database if exists ${SHADOW} cascade"
impala-shell -d ${SOURCE} -q "invalidate metadata" hive -e "create database if not exists ${SHADOW}"
impala-shell -d ${SOURCE} -q "show tables" --delimited | sed "s/^\(.*\)/compute stats ${SOURCE}.\1;/" | impala-shell -c -f - hive $HIVE_OPTS --database ${SOURCE} -e "show tables" | grep -v WARN | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${SOURCE}.\1;/" > foo
impala-shell -q "create database if not exists ${SHADOW}" hive -f foo
impala-shell -d ${SHADOW} -q "show tables" --delimited | sed "s/^/drop view if exists ${SHADOW}./" | sed "s/$/;/" | impala-shell -c -f - echo "Updated shadow database"
impala-shell -d ${SOURCE} -q "show tables" --delimited | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${SOURCE}.\1;/" | impala-shell -c -f -
echo "Shadow db ready!"

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@ -7,13 +7,17 @@ then
fi fi
export TARGET=$1 export TARGET=$1
export SCRIPT_PATH=$2 export STATS_EXT=$2
export SCRIPT_PATH=$3
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228 -hiveconf hive.auto.convert.join=false"
export HADOOP_USER_NAME="oozie"
echo "Getting file from " $SCRIPT_PATH echo "Getting file from " $SCRIPT_PATH
hdfs dfs -copyToLocal $SCRIPT_PATH hdfs dfs -copyToLocal $SCRIPT_PATH
echo "Creating indicators" echo "Creating indicators"
impala-shell -q "invalidate metadata" hive $HIVE_OPTS --database ${TARGET} -e "show tables" | grep -v WARN | sed "s/STATS_EXT/${STATS_EXT}/g" |sed "s/^\(.*\)/analyze table ${TARGET}.\1 compute statistics;/" > foo
impala-shell -d ${TARGET} -q "show tables" --delimited | sed "s/^\(.*\)/compute stats ${TARGET}.\1;/" | impala-shell -c -f - hive $HIVE_OPTS -f foo
cat step16-createIndicatorsTables.sql | impala-shell -d $TARGET -f - hive $HIVE_OPTS --database ${TARGET} -f step16-createIndicatorsTables.sql
echo "Indicators created" echo "Indicators created"

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@ -0,0 +1,19 @@
export PYTHON_EGG_CACHE=/home/$(whoami)/.python-eggs
export link_folder=/tmp/impala-shell-python-egg-cache-$(whoami)
if ! [ -L $link_folder ]
then
rm -Rf "$link_folder"
ln -sfn ${PYTHON_EGG_CACHE}${link_folder} ${link_folder}
fi
export SOURCE=$1
export SHADOW=$2
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
export HADOOP_USER_NAME="oozie"
echo "Updating shadow database"
hive -e "drop database if exists ${SHADOW} cascade"
hive -e "create database if not exists ${SHADOW}"
hive $HIVE_OPTS --database ${SOURCE} -e "show tables" | grep -v WARN | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${SOURCE}.\1;/" > foo
hive -f foo
echo "Updated shadow database"

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@ -11,15 +11,15 @@ export TARGET=$2
export SHADOW=$3 export SHADOW=$3
export SCRIPT_PATH=$4 export SCRIPT_PATH=$4
echo "Getting file from " $4 export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
hdfs dfs -copyToLocal $4 export HADOOP_USER_NAME="oozie"
echo "Getting file from " $SCRIPT_PATH
hdfs dfs -copyToLocal $SCRIPT_PATH
echo "Creating monitor database" echo "Creating monitor database"
cat step20-createMonitorDB.sql | sed s/SOURCE/$1/g | sed s/TARGET/$2/g1 | impala-shell -f - #cat step20-createMonitorDB.sql | sed s/SOURCE/$1/g | sed s/TARGET/$2/g1 > foo
echo "Impala shell finished" cat step20-createMonitorDB.sql | sed "s/TARGET/${TARGET}/g" | sed "s/SOURCE/${SOURCE}/g1" > foo
hive $HIVE_OPTS -f foo
echo "Hive shell finished"
echo "Updating shadow monitor database"
impala-shell -q "create database if not exists ${SHADOW}"
impala-shell -d ${SHADOW} -q "show tables" --delimited | sed "s/^/drop view if exists ${SHADOW}./" | sed "s/$/;/" | impala-shell -f -
impala-shell -d ${TARGET} -q "show tables" --delimited | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${TARGET}.\1;/" | impala-shell -f -
echo "Shadow db ready!"

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@ -7,15 +7,13 @@ then
fi fi
export SOURCE=$1 export SOURCE=$1
export TARGET=$2 export SHADOW=$2
export SHADOW=$3 export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
export HADOOP_USER_NAME="oozie"
impala-shell -q "invalidate metadata;" echo "Updating shadow database"
impala-shell -d ${TARGET} -q "show tables" --delimited | sed "s/\(.*\)/compute stats ${TARGET}.\1;/" | impala-shell -f - hive -e "drop database if exists ${SHADOW} cascade"
echo "Impala shell finished" hive -e "create database if not exists ${SHADOW}"
hive $HIVE_OPTS --database ${SOURCE} -e "show tables" | grep -v WARN | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${SOURCE}.\1;/" > foo
echo "Updating shadow observatory database" hive -f foo
impala-shell -q "create database if not exists ${SHADOW}" echo "Updated shadow database"
impala-shell -d ${SHADOW} -q "show tables" --delimited | sed "s/^/drop view if exists ${SHADOW}./" | sed "s/$/;/" | impala-shell -f -
impala-shell -d ${TARGET} -q "show tables" --delimited | sed "s/\(.*\)/create view ${SHADOW}.\1 as select * from ${TARGET}.\1;/" | impala-shell -f -
echo "Shadow db ready!"

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@ -10,7 +10,11 @@ export SOURCE=$1
export TARGET=$2 export TARGET=$2
export SHADOW=$3 export SHADOW=$3
export HIVE_OPTS="-hiveconf mapred.job.queue.name=analytics -hiveconf hive.spark.client.connect.timeout=120000ms -hiveconf hive.spark.client.server.connect.timeout=300000ms -hiveconf spark.executor.memory=19166291558 -hiveconf spark.yarn.executor.memoryOverhead=3225 -hiveconf spark.driver.memory=11596411699 -hiveconf spark.yarn.driver.memoryOverhead=1228"
export HADOOP_USER_NAME="oozie"
echo "Creating observatory database" echo "Creating observatory database"
impala-shell -q "drop database if exists ${TARGET} cascade" hive -e "drop database if exists ${TARGET} cascade"
impala-shell -q "create database if not exists ${TARGET}" hive -e "create database if not exists ${TARGET}"
impala-shell -d ${SOURCE} -q "show tables" --delimited | grep -iv roar | sed "s/\(.*\)/create view ${TARGET}.\1 as select * from ${SOURCE}.\1;/" | impala-shell -f - hive $HIVE_OPTS --database ${SOURCE} -e "show tables" | grep -v WARN | grep -iv roar | sed "s/\(.*\)/create view ${TARGET}.\1 as select * from ${SOURCE}.\1;/" > foo
hive -f foo

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@ -44,7 +44,7 @@ from (
from ${openaire_db_name}.result r lateral view explode(r.instance) instances as inst lateral view explode(inst.pid) pids as p) r from ${openaire_db_name}.result r lateral view explode(r.instance) instances as inst lateral view explode(inst.pid) pids as p) r
join ${stats_db_name}.result res on res.id=r.id; join ${stats_db_name}.result res on res.id=r.id;
create table ${stats_db_name}.result_apc as create table ${stats_db_name}.result_apc STORED AS PARQUET as
select r.id, r.amount, r.currency select r.id, r.amount, r.currency
from ( from (
select substr(r.id, 4) as id, cast(inst.processingchargeamount.value as float) as amount, inst.processingchargecurrency.value as currency select substr(r.id, 4) as id, cast(inst.processingchargeamount.value as float) as amount, inst.processingchargecurrency.value as currency
@ -52,4 +52,4 @@ from (
join ${stats_db_name}.result res on res.id=r.id join ${stats_db_name}.result res on res.id=r.id
where r.amount is not null; where r.amount is not null;
create view ${stats_db_name}.issn_gold_oa_dataset as select * from stats_ext.issn_gold_oa_dataset; create view ${stats_db_name}.issn_gold_oa_dataset as select * from ${external_stats_db_name}.issn_gold_oa_dataset;

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@ -61,86 +61,91 @@ create table TARGET.result stored as parquet as
'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje 'openorgs____::31f2fa9e05b49d4cf40a19c3fed8eb06', -- Saints Cyril and Methodius University of Skopje
'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan 'openorgs____::db7686f30f22cbe73a4fde872ce812a6', -- University of Milan
'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork 'openorgs____::b8b8ca674452579f3f593d9f5e557483', -- University College Cork
'openorgs____::38d7097854736583dde879d12dacafca', -- Brown University 'openorgs____::38d7097854736583dde879d12dacafca' -- Brown University
'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech 'openorgs____::57784c9e047e826fefdb1ef816120d92', --Arts et Métiers ParisTech
'openorgs____::2530baca8a15936ba2e3297f2bce2e7e' -- University of Cape Town 'openorgs____::2530baca8a15936ba2e3297f2bce2e7e', -- University of Cape Town
'openorgs____::d11f981828c485cd23d93f7f24f24db1', -- Technological University Dublin
'openorgs____::5e6bf8962665cdd040341171e5c631d8', -- Delft University of Technology
'openorgs____::846cb428d3f52a445f7275561a7beb5d' -- University of Manitoba
) )) foo; ) )) foo;
compute stats TARGET.result;
ANALYZE TABLE TARGET.result COMPUTE STATISTICS;
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_citations; ANALYZE TABLE TARGET.result_citations COMPUTE STATISTICS;
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_references_oc; ANALYZE TABLE TARGET.result_references_oc COMPUTE STATISTICS;
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_citations_oc; ANALYZE TABLE TARGET.result_citations_oc COMPUTE STATISTICS;
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_classifications; ANALYZE TABLE TARGET.result_classifications COMPUTE STATISTICS;
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_apc; ANALYZE TABLE TARGET.result_apc COMPUTE STATISTICS;
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_concepts; ANALYZE TABLE TARGET.result_concepts COMPUTE STATISTICS;
create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_datasources stored as parquet as select * from SOURCE.result_datasources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_datasources; ANALYZE TABLE TARGET.result_datasources COMPUTE STATISTICS;
create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_fundercount stored as parquet as select * from SOURCE.result_fundercount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_fundercount; ANALYZE TABLE TARGET.result_fundercount COMPUTE STATISTICS;
create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_gold stored as parquet as select * from SOURCE.result_gold orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_gold; ANALYZE TABLE TARGET.result_gold COMPUTE STATISTICS;
create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_greenoa stored as parquet as select * from SOURCE.result_greenoa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_greenoa; ANALYZE TABLE TARGET.result_greenoa COMPUTE STATISTICS;
create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_languages stored as parquet as select * from SOURCE.result_languages orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_languages; ANALYZE TABLE TARGET.result_languages COMPUTE STATISTICS;
create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_licenses stored as parquet as select * from SOURCE.result_licenses orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_licenses; ANALYZE TABLE TARGET.result_licenses COMPUTE STATISTICS;
create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized; create table TARGET.licenses_normalized STORED AS PARQUET as select * from SOURCE.licenses_normalized;
ANALYZE TABLE TARGET.licenses_normalized COMPUTE STATISTICS;
create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_oids stored as parquet as select * from SOURCE.result_oids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_oids; ANALYZE TABLE TARGET.result_oids COMPUTE STATISTICS;
create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_organization stored as parquet as select * from SOURCE.result_organization orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_organization; ANALYZE TABLE TARGET.result_organization COMPUTE STATISTICS;
create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_peerreviewed stored as parquet as select * from SOURCE.result_peerreviewed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_peerreviewed; ANALYZE TABLE TARGET.result_peerreviewed COMPUTE STATISTICS;
create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_pids stored as parquet as select * from SOURCE.result_pids orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_pids; ANALYZE TABLE TARGET.result_pids COMPUTE STATISTICS;
create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_projectcount stored as parquet as select * from SOURCE.result_projectcount orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_projectcount; ANALYZE TABLE TARGET.result_projectcount COMPUTE STATISTICS;
create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_projects stored as parquet as select * from SOURCE.result_projects orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_projects; ANALYZE TABLE TARGET.result_projects COMPUTE STATISTICS;
create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_refereed stored as parquet as select * from SOURCE.result_refereed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_refereed; ANALYZE TABLE TARGET.result_refereed COMPUTE STATISTICS;
create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_sources stored as parquet as select * from SOURCE.result_sources orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_sources; ANALYZE TABLE TARGET.result_sources COMPUTE STATISTICS;
create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_topics stored as parquet as select * from SOURCE.result_topics orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_topics; ANALYZE TABLE TARGET.result_topics COMPUTE STATISTICS;
create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.result_fos stored as parquet as select * from SOURCE.result_fos orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_fos; ANALYZE TABLE TARGET.result_fos COMPUTE STATISTICS;
create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result); create view TARGET.foo1 as select * from SOURCE.result_result rr where rr.source in (select id from TARGET.result);
create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result); create view TARGET.foo2 as select * from SOURCE.result_result rr where rr.target in (select id from TARGET.result);
create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou; create table TARGET.result_result STORED AS PARQUET as select distinct * from (select * from TARGET.foo1 union all select * from TARGET.foo2) foufou;
drop view TARGET.foo1; drop view TARGET.foo1;
drop view TARGET.foo2; drop view TARGET.foo2;
compute stats TARGET.result_result; ANALYZE TABLE TARGET.result_result COMPUTE STATISTICS;
-- datasources -- datasources
create view if not exists TARGET.datasource as select * from SOURCE.datasource; create view if not exists TARGET.datasource as select * from SOURCE.datasource;
@ -149,7 +154,7 @@ create view if not exists TARGET.datasource_organizations as select * from SOURC
create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources; create view if not exists TARGET.datasource_sources as select * from SOURCE.datasource_sources;
create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources; create table TARGET.datasource_results stored as parquet as select id as result, datasource as id from TARGET.result_datasources;
compute stats TARGET.datasource_results; ANALYZE TABLE TARGET.datasource_results COMPUTE STATISTICS;
-- organizations -- organizations
create view if not exists TARGET.organization as select * from SOURCE.organization; create view if not exists TARGET.organization as select * from SOURCE.organization;
@ -164,30 +169,31 @@ create view if not exists TARGET.project_oids as select * from SOURCE.project_oi
create view if not exists TARGET.project_organizations as select * from SOURCE.project_organizations; create view if not exists TARGET.project_organizations as select * from SOURCE.project_organizations;
create view if not exists TARGET.project_resultcount as select * from SOURCE.project_resultcount; create view if not exists TARGET.project_resultcount as select * from SOURCE.project_resultcount;
create view if not exists TARGET.project_classification as select * from SOURCE.project_classification; create view if not exists TARGET.project_classification as select * from SOURCE.project_classification;
create view if not exists TARGET.project_organization_contribution as select * from SOURCE.project_organization_contribution;
create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects; create table TARGET.project_results stored as parquet as select id as result, project as id from TARGET.result_projects;
compute stats TARGET.project_results; ANALYZE TABLE TARGET.project_results COMPUTE STATISTICS;
-- indicators -- indicators
-- Sprint 1 ---- -- Sprint 1 ----
create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_green_oa stored as parquet as select * from SOURCE.indi_pub_green_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_green_oa; ANALYZE TABLE TARGET.indi_pub_green_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_grey_lit stored as parquet as select * from SOURCE.indi_pub_grey_lit orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_grey_lit; ANALYZE TABLE TARGET.indi_pub_grey_lit COMPUTE STATISTICS;
create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_doi_from_crossref stored as parquet as select * from SOURCE.indi_pub_doi_from_crossref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_doi_from_crossref; ANALYZE TABLE TARGET.indi_pub_doi_from_crossref COMPUTE STATISTICS;
-- Sprint 2 ---- -- Sprint 2 ----
create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_result_has_cc_licence stored as parquet as select * from SOURCE.indi_result_has_cc_licence orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_result_has_cc_licence; ANALYZE TABLE TARGET.indi_result_has_cc_licence COMPUTE STATISTICS;
create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_result_has_cc_licence_url stored as parquet as select * from SOURCE.indi_result_has_cc_licence_url orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_result_has_cc_licence_url; ANALYZE TABLE TARGET.indi_result_has_cc_licence_url COMPUTE STATISTICS;
create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_has_abstract stored as parquet as select * from SOURCE.indi_pub_has_abstract orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_has_abstract; ANALYZE TABLE TARGET.indi_pub_has_abstract COMPUTE STATISTICS;
create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_result_with_orcid stored as parquet as select * from SOURCE.indi_result_with_orcid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_result_with_orcid; ANALYZE TABLE TARGET.indi_result_with_orcid COMPUTE STATISTICS;
---- Sprint 3 ---- ---- Sprint 3 ----
create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_funded_result_with_fundref stored as parquet as select * from SOURCE.indi_funded_result_with_fundref orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_funded_result_with_fundref; ANALYZE TABLE TARGET.indi_funded_result_with_fundref COMPUTE STATISTICS;
create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab; create view TARGET.indi_result_org_collab as select * from SOURCE.indi_result_org_collab;
create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab; create view TARGET.indi_result_org_country_collab as select * from SOURCE.indi_result_org_country_collab;
create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org; create view TARGET.indi_project_collab_org as select * from SOURCE.indi_project_collab_org;
@ -196,30 +202,30 @@ create view TARGET.indi_funder_country_collab as select * from SOURCE.indi_funde
create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab; create view TARGET.indi_result_country_collab as select * from SOURCE.indi_result_country_collab;
---- Sprint 4 ---- ---- Sprint 4 ----
create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_diamond stored as parquet as select * from SOURCE.indi_pub_diamond orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_diamond; ANALYZE TABLE TARGET.indi_pub_diamond COMPUTE STATISTICS;
create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_in_transformative stored as parquet as select * from SOURCE.indi_pub_in_transformative orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_in_transformative; ANALYZE TABLE TARGET.indi_pub_in_transformative COMPUTE STATISTICS;
create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_closed_other_open stored as parquet as select * from SOURCE.indi_pub_closed_other_open orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_closed_other_open; ANALYZE TABLE TARGET.indi_pub_closed_other_open COMPUTE STATISTICS;
---- Sprint 5 ---- ---- Sprint 5 ----
create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_result_no_of_copies stored as parquet as select * from SOURCE.indi_result_no_of_copies orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_result_no_of_copies; ANALYZE TABLE TARGET.indi_result_no_of_copies COMPUTE STATISTICS;
---- Sprint 6 ---- ---- Sprint 6 ----
create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_hybrid_oa_with_cc stored as parquet as select * from SOURCE.indi_pub_hybrid_oa_with_cc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_hybrid_oa_with_cc; ANALYZE TABLE TARGET.indi_pub_hybrid_oa_with_cc COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id); create table TARGET.indi_pub_downloads stored as parquet as select * from SOURCE.indi_pub_downloads orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
compute stats TARGET.indi_pub_downloads; ANALYZE TABLE TARGET.indi_pub_downloads COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id); create table TARGET.indi_pub_downloads_datasource stored as parquet as select * from SOURCE.indi_pub_downloads_datasource orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
compute stats TARGET.indi_pub_downloads_datasource; ANALYZE TABLE TARGET.indi_pub_downloads_datasource COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id); create table TARGET.indi_pub_downloads_year stored as parquet as select * from SOURCE.indi_pub_downloads_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
compute stats TARGET.indi_pub_downloads_year; ANALYZE TABLE TARGET.indi_pub_downloads_year COMPUTE STATISTICS;
create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id); create table TARGET.indi_pub_downloads_datasource_year stored as parquet as select * from SOURCE.indi_pub_downloads_datasource_year orig where exists (select 1 from TARGET.result r where r.id=orig.result_id);
compute stats TARGET.indi_pub_downloads_datasource_year; ANALYZE TABLE TARGET.indi_pub_downloads_datasource_year COMPUTE STATISTICS;
---- Sprint 7 ---- ---- Sprint 7 ----
create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_gold_oa stored as parquet as select * from SOURCE.indi_pub_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_gold_oa; ANALYZE TABLE TARGET.indi_pub_gold_oa COMPUTE STATISTICS;
create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_hybrid stored as parquet as select * from SOURCE.indi_pub_hybrid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.indi_pub_hybrid; ANALYZE TABLE TARGET.indi_pub_hybrid COMPUTE STATISTICS;
create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness; create view TARGET.indi_org_fairness as select * from SOURCE.indi_org_fairness;
create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr; create view TARGET.indi_org_fairness_pub_pr as select * from SOURCE.indi_org_fairness_pub_pr;
create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year; create view TARGET.indi_org_fairness_pub_year as select * from SOURCE.indi_org_fairness_pub_year;
@ -230,11 +236,8 @@ create view TARGET.indi_org_findable as select * from SOURCE.indi_org_findable;
create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess; create view TARGET.indi_org_openess as select * from SOURCE.indi_org_openess;
create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year; create view TARGET.indi_org_openess_year as select * from SOURCE.indi_org_openess_year;
create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_has_preprint stored as parquet as select * from SOURCE.indi_pub_has_preprint orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_has_preprint COMPUTE STATISTICS;
create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_pub_in_subscribed stored as parquet as select * from SOURCE.indi_pub_in_subscribed orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_pub_in_subscribed COMPUTE STATISTICS;
create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id); create table TARGET.indi_result_with_pid stored as parquet as select * from SOURCE.indi_result_with_pid orig where exists (select 1 from TARGET.result r where r.id=orig.id);
ANALYZE TABLE TARGET.indi_result_with_pid COMPUTE STATISTICS;
--create table TARGET.indi_datasets_gold_oa stored as parquet as select * from SOURCE.indi_datasets_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--compute stats TARGET.indi_datasets_gold_oa;
--create table TARGET.indi_software_gold_oa stored as parquet as select * from SOURCE.indi_software_gold_oa orig where exists (select 1 from TARGET.result r where r.id=orig.id);
--compute stats TARGET.indi_software_gold_oa;

View File

@ -8,6 +8,8 @@ from ${stats_db_name}.result r
group by rl.id group by rl.id
) rln on rln.id=r.id; ) rln on rln.id=r.id;
ANALYZE TABLE ${observatory_db_name}.result_cc_licence COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_country stored as parquet as create table ${observatory_db_name}.result_affiliated_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -37,6 +39,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_year stored as parquet as create table ${observatory_db_name}.result_affiliated_year stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -66,6 +70,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_year_country stored as parquet as create table ${observatory_db_name}.result_affiliated_year_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -95,6 +101,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_year_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_datasource stored as parquet as create table ${observatory_db_name}.result_affiliated_datasource stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -126,6 +134,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_datasource_country stored as parquet as create table ${observatory_db_name}.result_affiliated_datasource_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -157,6 +167,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_datasource_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_organization stored as parquet as create table ${observatory_db_name}.result_affiliated_organization stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -186,6 +198,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_organization_country stored as parquet as create table ${observatory_db_name}.result_affiliated_organization_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -215,6 +229,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_organization_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_funder stored as parquet as create table ${observatory_db_name}.result_affiliated_funder stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -246,6 +262,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder COMPUTE STATISTICS;
create table ${observatory_db_name}.result_affiliated_funder_country stored as parquet as create table ${observatory_db_name}.result_affiliated_funder_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -277,6 +295,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_affiliated_funder_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_country stored as parquet as create table ${observatory_db_name}.result_deposited_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -308,6 +328,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_year stored as parquet as create table ${observatory_db_name}.result_deposited_year stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -339,6 +361,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year;
ANALYZE TABLE ${observatory_db_name}.result_deposited_year COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_year_country stored as parquet as create table ${observatory_db_name}.result_deposited_year_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -370,6 +394,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, r.year, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_year_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_datasource stored as parquet as create table ${observatory_db_name}.result_deposited_datasource stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -401,6 +427,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_datasource_country stored as parquet as create table ${observatory_db_name}.result_deposited_datasource_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -432,6 +460,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, d.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_datasource_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_organization stored as parquet as create table ${observatory_db_name}.result_deposited_organization stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -463,6 +493,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_organization_country stored as parquet as create table ${observatory_db_name}.result_deposited_organization_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -494,6 +526,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, o.name, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_organization_country COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_funder stored as parquet as create table ${observatory_db_name}.result_deposited_funder stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -527,6 +561,8 @@ group by r.green, r.gold, case when rl.type is not null then true else false end
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder;
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder COMPUTE STATISTICS;
create table ${observatory_db_name}.result_deposited_funder_country stored as parquet as create table ${observatory_db_name}.result_deposited_funder_country stored as parquet as
select select
count(distinct r.id) as total, count(distinct r.id) as total,
@ -559,3 +595,5 @@ from ${stats_db_name}.result r
group by r.green, r.gold, case when rl.type is not null then true else false end, case when pids.pid is not null then true else false end, group by r.green, r.gold, case when rl.type is not null then true else false end, case when pids.pid is not null then true else false end,
case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract, case when r.access_mode in ('Open Access', 'Open Source') then true else false end, r.peer_reviewed, r.type, abstract,
cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name; cc_licence, r.authors > 1, rpc.count > 1, rfc.count > 1, p.funder, c.code, c.name;
ANALYZE TABLE ${observatory_db_name}.result_deposited_funder_country COMPUTE STATISTICS;

View File

@ -85,3 +85,11 @@ select distinct xpath_string(fund, '//funder/id') as id,
xpath_string(fund, '//funder/name') as name, xpath_string(fund, '//funder/name') as name,
xpath_string(fund, '//funder/shortname') as shortname xpath_string(fund, '//funder/shortname') as shortname
from ${openaire_db_name}.project p lateral view explode(p.fundingtree.value) fundingtree as fund; from ${openaire_db_name}.project p lateral view explode(p.fundingtree.value) fundingtree as fund;
CREATE TABLE ${stats_db_name}.project_organization_contribution STORED AS PARQUET AS
SELECT distinct substr(r.source, 4) AS project, substr(r.target, 4) AS organization,
properties[0].value contribution, properties[1].value currency
from ${openaire_db_name}.relation r
LATERAL VIEW explode (r.properties) properties
where properties[0].key='contribution' and r.reltype = 'projectOrganization' and r.source like '40|%'
and properties[0].value>0.0 and r.datainfo.deletedbyinference = false and r.datainfo.invisible=false;

View File

@ -48,12 +48,10 @@ WHERE d1.datainfo.deletedbyinference = FALSE and d1.datainfo.invisible=false;
-- Updating temporary table with everything that is not based on results -> This is done with the following "dual" table. -- Updating temporary table with everything that is not based on results -> This is done with the following "dual" table.
-- Creating a temporary dual table that will be removed after the following insert -- Creating a temporary dual table that will be removed after the following insert
CREATE TABLE ${stats_db_name}.dual CREATE TABLE ${stats_db_name}.dual ( dummy CHAR(1));
(
dummy CHAR(1) INSERT INTO ${stats_db_name}.dual VALUES ('X');
);
INSERT INTO ${stats_db_name}.dual
VALUES ('X');
INSERT INTO ${stats_db_name}.datasource_tmp (`id`, `name`, `type`, `dateofvalidation`, `yearofvalidation`, `harvested`, INSERT INTO ${stats_db_name}.datasource_tmp (`id`, `name`, `type`, `dateofvalidation`, `yearofvalidation`, `harvested`,
`piwik_id`, `latitude`, `longitude`, `websiteurl`, `compatibility`, `issn_printed`, `issn_online`) `piwik_id`, `latitude`, `longitude`, `websiteurl`, `compatibility`, `issn_printed`, `issn_online`)
SELECT 'other', SELECT 'other',
@ -73,12 +71,8 @@ FROM ${stats_db_name}.dual
WHERE 'other' not in (SELECT id FROM ${stats_db_name}.datasource_tmp WHERE name = 'Unknown Repository'); WHERE 'other' not in (SELECT id FROM ${stats_db_name}.datasource_tmp WHERE name = 'Unknown Repository');
DROP TABLE ${stats_db_name}.dual; DROP TABLE ${stats_db_name}.dual;
UPDATE ${stats_db_name}.datasource_tmp UPDATE ${stats_db_name}.datasource_tmp SET name='Other' WHERE name = 'Unknown Repository';
SET name='Other' UPDATE ${stats_db_name}.datasource_tmp SET yearofvalidation=null WHERE yearofvalidation = '-1';
WHERE name = 'Unknown Repository';
UPDATE ${stats_db_name}.datasource_tmp
SET yearofvalidation=null
WHERE yearofvalidation = '-1';
CREATE TABLE ${stats_db_name}.datasource_languages STORED AS PARQUET AS CREATE TABLE ${stats_db_name}.datasource_languages STORED AS PARQUET AS
SELECT substr(d.id, 4) AS id, langs.languages AS language SELECT substr(d.id, 4) AS id, langs.languages AS language

View File

@ -1,4 +1,4 @@
<workflow-app name="Graph Stats" xmlns="uri:oozie:workflow:0.5"> <workflow-app name="Graph Stats Hive" xmlns="uri:oozie:workflow:0.5">
<parameters> <parameters>
<property> <property>
<name>stats_db_name</name> <name>stats_db_name</name>
@ -10,7 +10,6 @@
</property> </property>
<property> <property>
<name>external_stats_db_name</name> <name>external_stats_db_name</name>
<value>stats_ext</value>
<description>the external stats that should be added since they are not included in the graph database</description> <description>the external stats that should be added since they are not included in the graph database</description>
</property> </property>
<property> <property>
@ -53,6 +52,10 @@
<name>context_api_url</name> <name>context_api_url</name>
<description>the base url of the context api (https://services.openaire.eu/openaire)</description> <description>the base url of the context api (https://services.openaire.eu/openaire)</description>
</property> </property>
<property>
<name>hadoop_user_name</name>
<description>user name of the wf owner</description>
</property>
</parameters> </parameters>
<global> <global>
@ -67,11 +70,14 @@
<name>hive.txn.timeout</name> <name>hive.txn.timeout</name>
<value>${hive_timeout}</value> <value>${hive_timeout}</value>
</property> </property>
<property>
<name>mapred.job.queue.name</name>
<value>analytics</value>
</property>
</configuration> </configuration>
</global> </global>
<start to="resume_from"/> <start to="resume_from"/>
<decision name="resume_from"> <decision name="resume_from">
<switch> <switch>
<case to="Step1">${wf:conf('resumeFrom') eq 'Step1'}</case> <case to="Step1">${wf:conf('resumeFrom') eq 'Step1'}</case>
@ -99,12 +105,13 @@
<case to="step21-createObservatoryDB-pre">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB-pre'}</case> <case to="step21-createObservatoryDB-pre">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB-pre'}</case>
<case to="step21-createObservatoryDB">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB'}</case> <case to="step21-createObservatoryDB">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB'}</case>
<case to="step21-createObservatoryDB-post">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB-post'}</case> <case to="step21-createObservatoryDB-post">${wf:conf('resumeFrom') eq 'step21-createObservatoryDB-post'}</case>
<case to="Step22">${wf:conf('resumeFrom') eq 'Step22'}</case> <case to="step22-copyDataToImpalaCluster">${wf:conf('resumeFrom') eq 'step22-copyDataToImpalaCluster'}</case>
<case to="step23-finalizeImpalaCluster">${wf:conf('resumeFrom') eq 'step23-finalizeImpalaCluster'}</case>
<case to="Step24-updateCache">${wf:conf('resumeFrom') eq 'Step24-updateCache'}</case>
<default to="Step1"/> <default to="Step1"/>
</switch> </switch>
</decision> </decision>
<kill name="Kill"> <kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message> <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill> </kill>
@ -282,6 +289,7 @@
<script>scripts/step15_5.sql</script> <script>scripts/step15_5.sql</script>
<param>stats_db_name=${stats_db_name}</param> <param>stats_db_name=${stats_db_name}</param>
<param>openaire_db_name=${openaire_db_name}</param> <param>openaire_db_name=${openaire_db_name}</param>
<param>external_stats_db_name=${external_stats_db_name}</param>
</hive2> </hive2>
<ok to="Contexts"/> <ok to="Contexts"/>
<error to="Kill"/> <error to="Kill"/>
@ -306,6 +314,7 @@
<name-node>${nameNode}</name-node> <name-node>${nameNode}</name-node>
<exec>indicators.sh</exec> <exec>indicators.sh</exec>
<argument>${stats_db_name}</argument> <argument>${stats_db_name}</argument>
<argument>${external_stats_db_name}</argument>
<argument>${wf:appPath()}/scripts/step16-createIndicatorsTables.sql</argument> <argument>${wf:appPath()}/scripts/step16-createIndicatorsTables.sql</argument>
<file>indicators.sh</file> <file>indicators.sh</file>
</shell> </shell>
@ -359,6 +368,19 @@
<argument>${wf:appPath()}/scripts/step20-createMonitorDB.sql</argument> <argument>${wf:appPath()}/scripts/step20-createMonitorDB.sql</argument>
<file>monitor.sh</file> <file>monitor.sh</file>
</shell> </shell>
<ok to="step20-createMonitorDB-post"/>
<error to="Kill"/>
</action>
<action name="step20-createMonitorDB-post">
<shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>monitor-post.sh</exec>
<argument>${monitor_db_name}</argument>
<argument>${monitor_db_shadow_name}</argument>
<file>monitor-post.sh</file>
</shell>
<ok to="step21-createObservatoryDB-pre"/> <ok to="step21-createObservatoryDB-pre"/>
<error to="Kill"/> <error to="Kill"/>
</action> </action>
@ -393,16 +415,50 @@
<job-tracker>${jobTracker}</job-tracker> <job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node> <name-node>${nameNode}</name-node>
<exec>observatory-post.sh</exec> <exec>observatory-post.sh</exec>
<argument>${stats_db_name}</argument>
<argument>${observatory_db_name}</argument> <argument>${observatory_db_name}</argument>
<argument>${observatory_db_shadow_name}</argument> <argument>${observatory_db_shadow_name}</argument>
<file>observatory-post.sh</file> <file>observatory-post.sh</file>
</shell> </shell>
<ok to="Step22"/> <ok to="step22-copyDataToImpalaCluster"/>
<error to="Kill"/> <error to="Kill"/>
</action> </action>
<action name="Step22"> <action name="step22-copyDataToImpalaCluster">
<shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>copyDataToImpalaCluster.sh</exec>
<!-- <env-var>HADOOP_USER_NAME=${wf:user()}</env-var>-->
<!-- <argument>${external_stats_db_name}</argument>-->
<argument>${stats_db_name}</argument>
<argument>${monitor_db_name}</argument>
<argument>${observatory_db_name}</argument>
<argument>${external_stats_db_name}</argument>
<argument>${hadoop_user_name}</argument>
<file>copyDataToImpalaCluster.sh</file>
</shell>
<ok to="step23-finalizeImpalaCluster"/>
<error to="Kill"/>
</action>
<action name="step23-finalizeImpalaCluster">
<shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<exec>finalizeImpalaCluster.sh</exec>
<argument>${stats_db_name}</argument>
<argument>${stats_db_shadow_name}</argument>
<argument>${monitor_db_name}</argument>
<argument>${monitor_db_shadow_name}</argument>
<argument>${observatory_db_name}</argument>
<argument>${observatory_db_shadow_name}</argument>
<file>finalizeImpalaCluster.sh</file>
</shell>
<ok to="Step24-updateCache"/>
<error to="Kill"/>
</action>
<action name="Step24-updateCache">
<shell xmlns="uri:oozie:shell-action:0.1"> <shell xmlns="uri:oozie:shell-action:0.1">
<job-tracker>${jobTracker}</job-tracker> <job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node> <name-node>${nameNode}</name-node>