Of course it is possible.
You can always to set any configurations in your application using API, instead
of pass in through the CLI.
val sparkConf = new
SparkConf().setAppName(properties.get("appName")).set("master",
properties.get("master")).set(xxx, properties.get("xxx"))
Your error is your environment problem.
Yong
________________________________
From: , Roy <rp...@njit.edu>
Sent: Friday, March 24, 2017 7:38 AM
To: user
Subject: spark-submit config via file
Hi,
I am trying to deploy spark job by using spark-submit which has bunch of
parameters like
spark-submit --class StreamingEventWriterDriver --master yarn --deploy-mode
cluster --executor-memory 3072m --executor-cores 4 --files streaming.conf
spark_streaming_2.11-assembly-1.0-SNAPSHOT.jar -conf "streaming.conf"
I was looking a way to put all these flags in the file to pass to spark-submit
to make my spark-submitcommand simple like this
spark-submit --class StreamingEventWriterDriver --master yarn --deploy-mode
cluster --properties-file properties.conf --files streaming.conf
spark_streaming_2.11-assembly-1.0-SNAPSHOT.jar -conf "streaming.conf"
properties.conf has following contents
spark.executor.memory 3072m
spark.executor.cores 4
But I am getting following error
17/03/24 11:36:26 INFO Client: Use hdfs cache file as spark.yarn.archive for
HDP,
hdfsCacheFile:hdfs:///hdp/apps/2.6.0.0-403/spark2/spark2-hdp-yarn-archive.tar.gz
17/03/24 11:36:26 WARN AzureFileSystemThreadPoolExecutor: Disabling threads for
Delete operation as thread count 0 is <= 1
17/03/24 11:36:26 INFO AzureFileSystemThreadPoolExecutor: Time taken for Delete
operation is: 1 ms with threads: 0
17/03/24 11:36:27 INFO Client: Deleted staging directory
wasb://a...@abc.blob.core.windows.net/user/sshuser/.sparkStaging/application_1488402758319_0492<http://a...@abc.blob.core.windows.net/user/sshuser/.sparkStaging/application_1488402758319_0492>
Exception in thread "main" java.io.IOException: Incomplete HDFS URI, no host:
hdfs:///hdp/apps/2.6.0.0-403/spark2/spark2-hdp-yarn-archive.tar.gz
at
org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:154)
at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2791)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:99)
at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2825)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2807)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:386)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at
org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:364)
at
org.apache.spark.deploy.yarn.Client.org<http://org.apache.spark.deploy.yarn.Client.org>$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:480)
at
org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:552)
at
org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:881)
at
org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:170)
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1218)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1277)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:745)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/03/24 11:36:27 INFO MetricsSystemImpl: Stopping azure-file-system metrics
system...
Anyone know is this is even possible ?
Thanks...
Roy
