cdh6.x 集成spark-sql

Posted 2022-12-11 涤生大数据

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写在前面

CDH系列默认阉割掉了Spark的spark-sql工具，但是很多公司还是有这个使用的需要，因为线上就有这块的需求，所以结合cdh6.x版本，做了具体的对spark-sql工具支持的集成。

版本说明

组件名称	组件版本
CDH	CDH 6.2.1
spark	spark-2.4.8

第一步：下载原生apache spark

# cd /opt/cloudera/parcels/CDH/lib

# wget http://archive.apache.org/dist/spark/spark-2.4.8/spark-2.4.8-bin-hadoop2.7.tgz

# tar zxvf spark-2.4.8-bin-hadoop2.7.tgz

# ln -s spark2 spark-2.4.8-bin-hadoop2.7

第二步：修改spark配置文件

2.1 配置spark-env.sh

#!/usr/bin/env bash

##JAVA_HOME 需要结合实际路径配置

export JAVA_HOME=/usr/java/jdk1.8.0_144

export HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop

export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive

export HADOOP_COMMON_HOME="$HADOOP_HOME"

export HADOOP_CONF_DIR=/etc/hadoop/conf

export YARN_CONF_DIR=/etc/hadoop/conf

export SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark2

export SPARK_CONF_DIR=$SPARK_HOME/conf

2.2 配置spark-defaults.conf

小提示：建议直接cp 现有spark的配置文件，在此基础上修改。

# cd /opt/cloudera/parcels/CDH/lib/spark2/conf

#cp -r /etc/spark/conf/spark-defaults.conf ./

### 将hive的配置文件一并cp过来

#cp /etc/hive/conf/hive-site.xml ./

Vim /opt/cloudera/parcels/CDH/lib/spark2/conf/spark-defaults.conf

小提示：修改配置文件时，只需要修改文件中标红部分即可，其他可以保持默认。

spark.authenticate=false

spark.driver.log.dfsDir=/user/spark/driverLogs

spark.driver.log.persistToDfs.enabled=true

spark.dynamicAllocation.enabled=true

spark.dynamicAllocation.executorIdleTimeout=60

spark.dynamicAllocation.minExecutors=0

spark.dynamicAllocation.schedulerBacklogTimeout=1

spark.eventLog.enabled=true

spark.io.encryption.enabled=false

spark.network.crypto.enabled=false

spark.serializer=org.apache.spark.serializer.KryoSerializer

spark.shuffle.service.enabled=true

spark.shuffle.service.port=7337

spark.ui.enabled=true

spark.ui.killEnabled=true

spark.lineage.log.dir=/var/log/spark/lineage

spark.lineage.enabled=true

spark.master=yarn

spark.submit.deployMode=client

spark.eventLog.dir=hdfs://ds-nameservice1/user/spark/applicationHistory

spark.yarn.historyServer.address=http://ds-bigdata-001:18088

## 我这里将spark的依赖包都放在hdfs上

spark.yarn.jars=hdfs://ds-nameservice1/user/spark2/jars/*

spark.driver.extraLibraryPath=/opt/cloudera/parcels/CDH-6.2.1-1.cdh6.2.1.p0.1580995/lib/hadoop/lib/native:/opt/cloudera/parcels/GPLEXTRAS-6.2.0-1.gplextras6.2.0.p0.967373/lib/hadoop/lib/native

spark.executor.extraLibraryPath=/opt/cloudera/parcels/CDH-6.2.1-1.cdh6.2.1.p0.1580995/lib/hadoop/lib/native:/opt/cloudera/parcels/GPLEXTRAS-6.2.0-1.gplextras6.2.0.p0.967373/lib/hadoop/lib/native

spark.yarn.am.extraLibraryPath=/opt/cloudera/parcels/CDH-6.2.1-1.cdh6.2.1.p0.1580995/lib/hadoop/lib/native:/opt/cloudera/parcels/GPLEXTRAS-6.2.0-1.gplextras6.2.0.p0.967373/lib/hadoop/lib/native

spark.yarn.config.replacementPath=HADOOP_COMMON_HOME/../../..

spark.yarn.historyServer.allowTracking=true

spark.yarn.appMasterEnv.MKL_NUM_THREADS=1

spark.executorEnv.MKL_NUM_THREADS=1

spark.yarn.appMasterEnv.OPENBLAS_NUM_THREADS=1

spark.executorEnv.OPENBLAS_NUM_THREADS=1

#spark.extraListeners=com.cloudera.spark.lineage.NavigatorAppListener

#spark.sql.queryExecutionListeners=com.cloudera.spark.lineage.NavigatorQueryListener

2.3 配置日志级别

# vim /opt/cloudera/parcels/CDH/lib/spark2/conf/log4j.properties

在配置文件中追加以下配置项，其他保持默认

log4j.logger.org.apache.spark=WARN

第三步：配置依赖包

3.1 上传spark 依赖jar包

##将spark的依赖jar包放到hdfs指定路径（说明：这个和配置文件中spark.yarn.jars的配置项相对应，如果使用的是local路径，可以不上传。）

# hdfs dfs -mkdir -p hdfs://ds-nameservice1/user/spark2/jars/

# hdfs dfs -put /opt/cloudera/parcels/CDH/lib/spark2/jars/* hdfs://ds-nameservice1/user/spark2/jars/