Spark-on-yarn

说明

以下配置适合spark on yarn cluster

版本对应

spark	scala	hadoop
2.3.1	2.11	2.9.1

安装要求

spark节点和yarn nodemanager节点保持一致

安装步骤

1.spark yarn方式打包

将yarn依赖到spark中

./build/mvn -Pyarn -Phadoop-2.9 -Dhadoop.version=2.9.1 -DskipTests clean package

2.关联HDFS

• 复制 hdfs 配置文件到spark conf目录

scp hadoop/etc/hadoop/core-site.xml spark/conf
scp hadoop/etc/hadoop/hdfs-site.xml spark/conf

• 配置spark-env.sh

添加hadoop环境变量

export HADOOP_HOME=/ddhome/bin/hadoop
export HADOOP_CONF_DIR=/ddhome/bin/hadoop/etc/hadoop

3.关联yarn

• 上传spark yarn jars 到 hdfs

hadoop fs -mkdir -p /spark/jars
hadoop fs -put spark/jars/*.jar /spark/jars

• 配置spark-default.xml

添加spark.yarn.jars参数

spark.yarn.jars hdfs://masters/spark/jars/*.jar

4.HA

• 配置spark-env.sh

添加zookeeper参数

export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER -Dspark.deploy.zookeeper.url=dddbva:2181,dddbvb:2181,dddcva:2181 -Dspark.deploy.zookeeper.dir=/spark"

运行实例

spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode cluster --driver-memory 1024m --executor-memory 1024m --executor-cores 1 spark/examples/jars/spark-examples_2.11-2.3.1.jar 10

运行过程中常见报错

• 1 日志级别设置：默认WARN,改成INFO/DEBUG

# 只有几行输出,看不到详细的内容,当初以为是挂了
[root@ddcve hadoop]# spark-sql --master yarn
18/09/04 08:57:57 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/09/04 08:57:58 WARN HiveConf: HiveConf of name hive.server2.webui.port does not exist
18/09/04 08:57:58 WARN HiveConf: HiveConf of name hive.server2.webui.host does not exist
18/09/04 08:58:01 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.

# 解决措施：将日志级别改成INFO/DEBUG就可以看到具体输出了

• 2 找不到yarn resourcemanager,缺失hadoop节点

ERROR:
2014-08-11 20:10:59,795 INFO [main] org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8030<br>
2014-08-11 20:11:01,838 INFO [main] org.apache.hadoop.ipc.Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8030. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1 SECONDS)<br>

# 解决措施：在spark节点上添加hadoop节点

• 3 java.net.UnknownHostException: masters

解决措施：复制hdfs core-site.xml, hdfs-site.xml到spark conf目录

• 4 找不到spark yarn关联包, 需要对spark源码手动编译yarn模式打包

手动编译打包

WARN:
2018-09-04 08:59:05 WARN  Client:66 - Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.<br>
2018-09-04 08:59:07 INFO  Client:54 - Uploading resource file:/tmp/spark-73483914-a54f-4e9e-ad19-5f0326a65c43/__spark_libs__1336817845101923206.zip -> hdfs://masters/user/root/.sparkStaging/application_1535967010469_0004/__spark_libs__1336817845101923206.zip

# 解决措施：
# spark yarn build
./build/mvn -Pyarn -Phadoop-2.9 -Dhadoop.version=2.9.1 -DskipTests clean package

# 将spark/jars目录下的所有jar包上传到hdfs
hadoop fs -mkdir -p /spark/jars
hadoop fs -put jars/*.jar /spark/jars

# 复制spark-defaults.conf.template, 添加spark.yarn.jars配置项
cp conf/spark-defaults.conf.template conf/spark-defaults.conf
spark.yarn.jars hdfs://masters/spark/jars/*.jar