Spark-2.x 编译构建及配置安装

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0. Spark-2.x 编译环境准备

  编译服务器：ip
  编译目录：/data10/spark/

1. Spark-2.x编译

a. note:提高Maven编译时的堆内存大小，防止编译过程中产生OOM异常,相关命令如下：

  export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=512M -XX:ReservedCodeCacheSize=512m"

b. 编译

   cd $SPARK_HOME(spark源码路径)
   mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phadoop-provided -Phive -Phive-thriftserver -Pnetlib-lgpl -DskipTests clean package

2. Spark-2.x构建（Distribution）

a. 编译成功后，构建spark执行环境，（note:spark-2.0.0和spark-2.0.1的稍微有不同）,执行命令如下：

spark-2.0.0

./dev/make-distribution.sh --name dev --tgz -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phadoop-provided -Phive -Phive-thriftserver -Pnetlib-lgpl

spark-2.0.1

./dev/make-distribution.sh --name custom-spark --tgz -Psparkr -Phadoop-2.4 -Phive -Phive-thriftserver -Pyarn

b.构建成功，运行环境成生成在$SPARK_HOME/dist目录下

c.重命名( mv $SPARK_HOME/dist mv $SPARK_HOME/spark-2.x.x-bin),则$SPARK_HOME/spark-2.x.x-bin 则作为发布版本

3. Spark-2.x配置

a.修改spark-2.x.x-bin/conf/spark-default.conf 配置参考如下：

Note：

  1.spark.yarn.archive: 配置的value是一个目录，目录下的jar内容和spark-2.x.x-bin/jars目录一致
                        即将spark-2.x.x-bin/jars 上传到hdfs的指定目录，如hdfs://ns1/spark/jars/spark2.x.x_jars
  2.发布新版本之后，一定要修改spark.yarn.archive 的值，其他的配置可以参考spark-2.0.0的配置

spark-default.conf

##################### common for yarn #####################
spark.yarn.archive hdfs://ns1/spark/jars/spark2.0.1_jars
spark.yarn.historyServer.address yz724.hadoop.data.sina.com.cn:18080
spark.eventLog.enabled true
spark.eventLog.dir hdfs://ns1/spark/logs
spark.yarn.report.interval 3000
spark.yarn.maxAppAttempts 2
spark.yarn.submit.file.replication 10

spark.rdd.compress true

spark.dynamicAllocation.enabled false

spark.ui.port 4050

##################### common for yarn #####################
spark.yarn.archive hdfs://ns1/spark/jars/spark2.0.1_jars
spark.yarn.historyServer.address yz724.hadoop.data.sina.com.cn:18080
spark.eventLog.enabled true
spark.eventLog.dir hdfs://ns1/spark/logs
spark.yarn.report.interval 3000
spark.yarn.maxAppAttempts 2
spark.yarn.submit.file.replication 10

spark.rdd.compress true

spark.dynamicAllocation.enabled false

spark.ui.port 4050

spark.kryoserializer.buffer.max 128m

spark.task.maxFailures 10

### common shuffle ###
spark.shuffle.service.enabled false
spark.shuffle.io.maxRetries 20
spark.shuffle.io.retryWait 5

##################### driver #####################
#spark.driver.extraJavaOptions=-XX:+UseCompressedOops -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:+CMSParallelRemarkEnabled -XX:+CMSScavengeBeforeRemark -XX:MaxDirectMemorySize=1g -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps

spark.driver.extraJavaOptions=-XX:+UseCompressedOops -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:+CMSParallelRemarkEnabled -XX:+CMSScavengeBeforeRemark -XX:MaxDirectMemorySize=1g

spark.driver.extraLibraryPath=/usr/local/hadoop-2.4.0/lib/native
spark.driver.maxResultSize=1g

#spark.jars=/data0/spark/spark-2.0.0-bin/jars/javax.servlet-api-3.1.0.jar

##################### executor #####################
spark.executor.extraJavaOptions=-XX:+UseCompressedOops -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70 -XX:+CMSParallelRemarkEnabled -XX:+CMSScavengeBeforeRemark -XX:MaxDirectMemorySize=300m -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps

spark.executor.extraLibraryPath /usr/local/hadoop-2.4.0/lib/native
spark.yarn.executor.memoryOverhead 400

spark.executor.logs.rolling.strategy time
spark.executor.logs.rolling.time.interval daily
spark.executor.logs.rolling.maxRetainedFiles 7

##################### spark sql #####################
spark.sql.hive.metastorePartitionPruning true


##################### spark streaming #####################
spark.streaming.kafka.maxRetries 20

################### spark tasks ##########################
spark.scheduler.executorTaskBlacklistTime 100000

b. 修改spark-2.x.x-bin/conf/spark-env.conf 配置参考如下：

HADOOP_CONF_DIR=/usr/local/hadoop-2.4.0/etc/hadoop
SPARK_PRINT_LAUNCH_COMMAND=true
LD_LIBRARY_PATH=/usr/local/hadoop-2.4.0/lib/native

c. copy /usr/local/hive-0.13.0/conf/hive-site.xml 到 spark-2.x.x-bin/conf/，否则有异常如下：

Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.AccessControlException): Permission denied: user=chaochao1, access=WRITE, inode="/tmp":hadoop:supergroup:drwxr-xr-x

d. 修改 spark-2.x.x-bin/conf/hive-site.xml,修改内容如下：

修改前：
<property>
  <name>javax.jdo.option.ConnectionPassword</name>
  <value>16B78E6FED30A530</value>
  <description>password to use against metastore database</description>
</property>
修改后：
<property>
  <name>javax.jdo.option.ConnectionPassword</name>
  <value>hive2</value>
  <description>password to use against metastore database</description>
</property>

note：不修改上述内容会有如下异常:

java.sql.SQLException: Access denied for user 'hive2'@'10.39.3.142' (using password: YES)

d. 配置mysql的jdbc驱动,否则会出现异常

   1.copy mysql-connector-java-5.1.15-bin.jar 到  spark-2.x.x-bin/jars/
   2.copy mysql-connector-java-5.1.15-bin.jar 上传到 spark.yarn.archive 配置的目录下

异常如下:

Caused by: org.datanucleus.store.rdbms.connectionpool.DatastoreDriverNotFoundException: The specified datastore driver ("com.mysql.jdbc.Driver") was not found in the CLASSPATH. Please check your CLASSPATH specification, and the name of the driver.
	at org.datanucleus.store.rdbms.connectionpool.AbstractConnectionPoolFactory.loadDriver(AbstractConnectionPoolFactory.java:58)
	at org.datanucleus.store.rdbms.connectionpool.BoneCPConnectionPoolFactory.createConnectionPool(BoneCPConnectionPoolFactory.java:54)
	at org.datanucleus.store.rdbms.ConnectionFactoryImpl.generateDataSources(ConnectionFactoryImpl.java:238)
	... 88 more

4. Spark-2.x安装

a. jdk版本升级到1.7

b. 在 /usr/local/hadoop-2.4.0/etc/hadoop/yarn-site.xml 添加如下配置，否则导致无法显示Spark UI

<property>
    <name>yarn.resourcemanager.webapp.address.rm1</name>
    <value>rm1.hadoop.data.sina.com.cn:9008</value>
    <final>true</final>
  </property>
  rm2的是可选参数
  <property>
    <name>yarn.resourcemanager.webapp.address.rm2</name>
    <value>rm2.hadoop.data.sina.com.cn:9008</value>
    <final>true</final>
  </property>

c.更新spark依赖的hive相关的jar

Spark在1.5.0版本以后默认集成的hive版本为1.2.1，hive从0.14版本之后有关scratchdir的权限配置发生了变动(从755变成了733)。因此如果线上已经部署了hive-0.13应用，那么在基于spark1.6提交hiveSQL的时候，会出现权限不匹配的相关异常。 目前的改进办法是修改Hive的org.apache.hadoop.hive.ql.session.SessionState类(社区1.2.1版本)，执行createRootHDFSDir方法时改成755权限赋值，以此来做到向下兼容。在将编译完成以后的SessionState类拷贝到spark的assembly包和examples包中。 相关patch参考：因为spark-2.0.0的所依赖的hive-1.2.1已经打好patch 所以：

1. 10.39.3.142 /data0/spark/spark-2.0.0/jars/有关hive的jar替换spark-2.x.x-bin/jars的hive相关的jar
2. 10.39.3.142 /data0/spark/spark-2.0.0/jars/有关hive的jar替换spark.yarn.archive配置的目录下hive相关的jar

d.rsync 配置好的spark-2.x.x-bin 到对应的服务器的/data0/spark/目录下

5.ference

  a. /data0/spark/spark-2.0.0 的相关配置
  b.官方编译文档：http://spark.apache.org/docs/latest/building-spark.html
  c.Spark 编译配置