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Posted to issues@kylin.apache.org by GitBox <gi...@apache.org> on 2019/12/16 13:32:49 UTC
[GitHub] [kylin] Rongnengwei opened a new pull request #996: KYLIN-4206 Add
kylin supports aws glue catalog metastroeclient
Rongnengwei opened a new pull request #996: KYLIN-4206 Add kylin supports aws glue catalog metastroeclient
URL: https://github.com/apache/kylin/pull/996
This modification mainly solves the problem of aw glue catalog supported by kylin, and the associated jira is [https://issues.apache.org/jira/browse/KYLIN-4206](https://issues.apache.org/jira/browse/KYLIN-4206)。
1.First you need to modify the aws-glue-data-catalog-client source code.
aws-glue-data-catalog-client-for-apache-hive-metastore github address is https://github.com/awslabs/aws-glue-data-catalog-client-for-apache-hive-metastore，aws-glue-client development environment see README.MD.
I downloaded hive 2.3.7 locally, so after following the steps in the README.MD file, the version of hive is 2.3.7-SNAPSHOT.
1）Modify the pom.xml file in the home directory.
```
<hive2.version>2.3.7-SNAPSHOT</hive2.version>
<spark-hive.version>1.2.1.spark2</spark-hive.version>
```
2)Modify the class of aws-glue-datacatalog-hive2-client/com.amazonaws.glue.catalog.metastore.AWSCatalogMetastoreClient
Implementation method
```
@Override
public PartitionValuesResponse listPartitionValues (PartitionValuesRequest partitionValuesRequest) throws MetaException, TException, NoSuchObjectException {
return null;
}
```
3)Modify the class of aws-glue-datacatalog-spark-client/com.amazonaws.glue.catalog.metastore.AWSCatalogMetastoreClient.
The problems are as follows：
This method is not available in the parent class，so delete the method，Then copy the method of aws-glue-datacatalog-hive2-client / com.amazonaws.glue.catalog.metastore.AWSCatalogMetastoreClient.Add dependency in aws-glue-datacatalog-spark-client / pom.xml file
```
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive2.version}</version>
<scope>provided</scope>
</dependency>
```
4）Package，need to package three projects,as follows.
5).Copy the three package
```
aws-glue-datacatalog-client-common-1.10.0-SNAPSHOT.jar
aws-glue-datacatalog-hive2-client-1.10.0-SNAPSHOT.jar
aws-glue-datacatalog-spark-client-1.10.0-SNAPSHOT.jar
```
to /kylin/lib
2.Modify the source code of kylin,See submission of PR.
1)Add the gluecatalog in the config of kylin.properties.
```
##The default access HiveMetastoreClient is hcatalog. If AWS user and glue catalog is used, it can be configured as gluecatalog
##kylin.source.hive.metadata-type=hcatalog
```
The default is hcatalog. If you want to use glue, please configure kylin.source.hive.metadata-type = gluecatalog.
if config gluecatalog,so need to configure in hive-site.xml，as follows:
<property>
<name>hive.metastore.client.factory.class</name> <value>com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory</value>
</property>
### **kylin install on EMR**
Note: The new cluster uses the metadata of the S3 storage hbase. So you need to build the path of S3
s3://*******/hbase
s3://*******/kylin
1. Upload .tar.gz to Server
2.Build directory
Use root user
cd /usr/local
mkdir -p kylin
Copy the kylin package to
/usr/local/kylin/apache-kylin-3.0.0-SNAPSHOT-bin
Modify the group the folder belongs to
chown -R hadoop:hadoop /usr/local/kylin
Switch user
sudo su hadoop
3. Configure user global variables
vi .bashrc
#####hadoop spark kylin#########
export HIVE_HOME=/usr/lib/hive
export HADOOP_HOME=/usr/lib/hadoop
export HBASE_HOME=/usr/lib/hbase
export SPARK_HOME=/usr/lib/spark
##kylin
export KYLIN_HOME=/usr/local/kylin/apache-kylin-3.0.0-SNAPSHOT-bin
export HCAT_HOME=/usr/lib/hive-hcatalog
export KYLIN_CONF_HOME=$KYLIN_HOME/conf
export tomcat_root=$KYLIN_HOME/tomcat
export hive_dependency=$HIVE_HOME/conf:$HIVE_HOME/lib/*:$HIVE_HOME/lib/hive-hcatalog-core.jar:$SPARK_HOME/jars/*
export PATH=$KYLIN_HOME/bin:$PATH
source .bashrc
4.Configure kylin.properties
The jackson-datatype-joda-2.4.6.jar package that comes with hive conflicts with jackson-datatype-joda-2.9.5.jar in kylin / tomcat / weapps / kylin / WEB-INF / lib, so you need to modify the hive Bag
mv $HIVE_HOME/lib/jackson-datatype-joda-2.4.6.jar $HIVE_HOME/lib/jackson-datatype-joda-2.4.6.jar.back
1) Configure the jar package to be run by the spark engine. This jar package needs to be generated and uploaded to HDFS.
New /usr/local/kylin/apache-kylin-3.0.0-SNAPSHOT-bin/spark_jars
Copy the required jar packages to the spark_jars directory
cp /usr/lib/spark/jars/*.jar cp /usr/lib/hbase/lib/*.jar /usr/local/kylin/spark_jars
Remove lower version of netr-all-4.1.17.Final.jar in spark_jars
##### Package conflict
Remove the lower version of netr-all-4.1.17.Final.jar in spark_jars
package
jar cv0f spark-libs.jar -C /usr/local/kylin/spark_jars/ ./
Configure mr dependent packages
cp /usr/lib/hive/lib/*.jar cp /usr/lib/hbase/lib/*.jar /usr/local/kylin/mr_lib
Remove the lower version of netr-all-4.1.17.Final.jar in mr_lib
kylin.job.mr.lib.dir=/usr/local/kylin/mr_lib
2) Upload spark-libs.ja to hdfs
hdfs dfs -mkdir -p /kylin/spark/
hdfs dfs -put spark-libs.jar /kylin/spark
## The metadata store in hbase
kylin.metadata.url=kylin_metadata@hbase
## Working folder in HDFS, better be qualified absolute path, make sure user has the right permission to this directory
kylin.env.hdfs-working-dir=s3://*******/kylin
## DEV|QA|PROD. DEV will turn on some dev features, QA and PROD has no difference in terms of functions.
kylin.env=DEV
##The default access HiveMetastoreClient is hcatalog. If AWS user and glue catalog is used, it can be configured as gluecatalog
kylin.source.hive.metadata-type=hcatalog
## kylin zk base path
kylin.env.zookeeper-base-path=/kylin
## Kylin server mode, valid value [all, query, job]
kylin.server.mode=all
## Display timezone on UI,format like[GMT+N or GMT-N]
kylin.web.timezone=GMT+8
## Hive database name for putting the intermediate flat tables
kylin.source.hive.database-for-flat-table=kylin_flat_db_test1
## Whether redistribute the intermediate flat table before building
kylin.source.hive.redistribute-flat-table=false
## The storage for final cube file in hbase
kylin.storage.url=hbase
## The prefix of hbase table
kylin.storage.hbase.table-name-prefix=KYLIN_
## HBase Cluster FileSystem, which serving hbase, format as hdfs://hbase-cluster:8020
## Leave empty if hbase running on same cluster with hive and mapreduce
kylin.storage.hbase.cluster-fs=s3://*************/hbase
#### SPARK ENGINE CONFIGS ###
#
## Hadoop conf folder, will export this as "HADOOP_CONF_DIR" to run spark-submit
## This must contain site xmls of core, yarn, hive, and hbase in one folder
kylin.env.hadoop-conf-dir=/etc/hadoop/conf
#kylin.engine.spark.max-partition=5000
#
## Spark conf (default is in spark/conf/spark-defaults.conf)
kylin.engine.spark-conf.spark.master=yarn
kylin.engine.spark-conf.spark.submit.deployMode=cluster
kylin.engine.spark-conf.spark.yarn.queue=default
kylin.engine.spark-conf.spark.driver.memory=2G
kylin.engine.spark-conf.spark.executor.memory=18G
kylin.engine.spark-conf.spark.executor.instances=6
kylin.engine.spark-conf.spark.yarn.executor.memoryOverhead=1024
kylin.engine.spark-conf.spark.shuffle.service.enabled=true
kylin.engine.spark-conf.spark.eventLog.enabled=true
## manually upload spark-assembly jar to HDFS and then set this property will avoid repeatedly uploading jar at runtime
kylin.engine.spark-conf.spark.yarn.archive=hdfs://ip-172-*****:8020/kylin/spark/spark-libs.jar
kylin.engine.spark-conf.spark.io.compression.codec=org.apache.spark.io.SnappyCompressionCodec
############define###########
kylin.job.jar=/usr/local/kylin/apache-kylin-3.0.0-SNAPSHOT-bin/lib/kylin-job-3.0.0-SNAPSHOT.jar
kylin.coprocessor.local.jar=/usr/local/kylin/apache-kylin-3.0.0-SNAPSHOT-bin/lib/kylin-coprocessor-3.0.0-SNAPSHOT.jar
kylin.job.mr.lib.dir=/usr/local/kylin/mr_lib
kylin.query.max-return-rows=10000000
5. Configure * .XML file
kylin_job_conf.xml, configure zk address, zk address is obtained from hbase / conf / hbase-site.xml
<property>
<name>hbase.zookeeper.quorum</name>
<value>ip-172-40-***.ec2.internal</value>
</property>
<property>
<name>mapreduce.task.timeout</name>
<value>3600000</value>
<description>Set task timeout to 1 hour</description>
</property>
kylin_hive_conf.xml, configure metastore address
<property>
<name>hive.metastore.uris</name>
<value>thrift://ip-17*******.internal:9083</value>
</property>
Added at the beginning of the kylin.sh file
export HBASE_CLASSPATH_PREFIX=${tomcat_root}/bin/bootstrap.jar:${tomcat_root}/bin/tomcat-juli.jar:${tomcat_root}/lib/*:$hive_dependency:$HBASE_CLASSPATH_PREFIX
/usr/lib/hive/conf/hive-site.xml，Configure the use of aws glue to share data sources
<property>
<name>hive.metastore.client.factory.class</name>
<value>com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory</value>
</property>
6. Configure hbase rpc timeout
Add in hbase-site.xml file:
<property>
<name>hbase.rpc.timeout</name>
<value>3600000</value>
</property>
7. Start hadoop historyserver
./mr-jobhistory-daemon.sh start historyserver
8. Start the kylin service
./kylin.sh start
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