楔子

Spark 提交作業找不到jar
ERROR ClientEndpoint:70 - Exception from cluster was: java.nio.file.NoSuchFileException

出錯提示

[[email protected] spark240]# ./bin/spark-submit \
>   --master spark://had1:7077 \
>   --deploy-mode cluster \
>   --supervise \
>    --class cn.sxt.spark.core.WC \
>   wc.jar
2018-12-26 17:01:06 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2018-12-26 17:01:13 ERROR ClientEndpoint:70 - Exception from cluster was: java.nio.file.NoSuchFileException: /opt/spark240/wc.jar
java.nio.file.NoSuchFileException: /opt/spark240/wc.jar
	at sun.nio.fs.UnixException.translateToIOException(UnixException.java:86)
	at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:102)
	at sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:107)
	at sun.nio.fs.UnixCopyFile.copy(UnixCopyFile.java:526)
	at sun.nio.fs.UnixFileSystemProvider.copy(UnixFileSystemProvider.java:253)
	at java.nio.file.Files.copy(Files.java:1274)

 

環境

hadoop是基於3.1.1
spark是基於 2.4.0版本

提交

採用hdfs存放檔案 不知道為何存放在本地有問題

#採用hdfs存放檔案 不知道為何存放在本地有問題 `但是後來 在master 
#節點上提交 使用本地的jar 又好用了沒報錯`
./bin/spark-submit \
--master spark://had1:7077 \
--deploy-mode cluster \
--class cn.sxt.spark.core.WC hdfs://had2/file/wc.jar

找不到jar

測試了2次 分別如下

-----成功的提交
./bin/spark-submit   --class cn.sxt.spark.core.WC  --master spark://had1:7077     wc.jar
-- 失敗的提交
./bin/spark-submit   --class cn.sxt.spark.core.WC  --master spark://had1:7077   --deploy-mode cluster  wc.jar
 

第一次是standalone -client 提交 ，結果提交成功了
第二次是 standalone-cluster提交，結果提示找不到jar了。spark master 節點和worker 節點 都放置了jar檔案，結果成功了。或許是因為叢集執行，需要在各個節點上都放置jar檔案

其他提交例項

官網提交例項參考
hadoop一箇舊版本中文文件

# Run application locally on 8 cores
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master local[
 
8] \
  /path/to/examples.jar \
  100

# Run on a Spark standalone cluster in client deploy mode
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master spark://207.184.161.138:7077 \
  --executor-memory 20G \
  --total-executor-cores 100 \
  /path/to/examples.jar \
  1000

# Run on a Spark standalone cluster in cluster deploy mode with supervise
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master spark://207.184.161.138:7077 \
  --deploy-mode cluster \
  --supervise \
  --executor-memory 20G \
  --total-executor-cores 100 \
  /path/to/examples.jar \
  1000

# Run on a YARN cluster
export HADOOP_CONF_DIR=XXX
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master yarn \
  --deploy-mode cluster \  # can be client for client mode
  --executor-memory 20G \
  --num-executors 50 \
  /path/to/examples.jar \
  1000

# Run a Python application on a Spark standalone cluster
./bin/spark-submit \
  --master spark://207.184.161.138:7077 \
  examples/src/main/python/pi.py \
  1000

# Run on a Mesos cluster in cluster deploy mode with supervise
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master mesos://207.184.161.138:7077 \
  --deploy-mode cluster \
  --supervise \
  --executor-memory 20G \
  --total-executor-cores 100 \
  http://path/to/examples.jar \
  1000

# Run on a Kubernetes cluster in cluster deploy mode
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master k8s://xx.yy.zz.ww:443 \
  --deploy-mode cluster \
  --executor-memory 20G \
  --num-executors 50 \
  http://path/to/examples.jar \
  1000