GitHub user smallyard opened a pull request:
https://github.com/apache/spark/pull/15794
[SPARK-15659][YARN] Fail if SparkContext run a new Thread in yarn-cluâ¦
## What changes were proposed in this pull request?
Fix Program SparkContext can't run in user thread in yarn-cluster mode.
logs
```
16/11/02 11:16:47 INFO yarn.ApplicationMaster: Starting the user
application in a separate Thread
16/11/02 11:16:47 INFO yarn.ApplicationMaster: Waiting for spark context
initialization
16/11/02 11:16:47 INFO yarn.ApplicationMaster: Waiting for spark context
initialization ...
16/11/02 11:16:47 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED,
exitCode: 0
```
Please review
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark before
opening a pull request.
â¦ster mode.
```
public static void main(String[] args) {
Executors.newSingleThreadScheduledExecutor().scheduleAtFixedRate(new Thread(new
Runnable() {
@Override
public void run() {
SparkConf conf = new SparkConf();
conf.setAppName("SparkDemo");
JavaSparkContext sparkContext = new JavaSparkContext(conf);
JavaRDD<String> array =
sparkContext.parallelize(Lists.newArrayList("1", "2", "3", "4"));
System.out.println(array.count());
}
}), 0, 5000, TimeUnit.MILLISECONDS);
}
```
Fix this program can't run correctly.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/smallyard/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15794.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15794
----
commit 2c63972354c62221d504eb0d65d819b0adde707d
Author: smallyard <[email protected]>
Date: 2016-11-07T03:43:47Z
[SPARK-15659][YARN] Fail if SparkContext run a new Thread in yarn-cluster
mode.
```
public static void main(String[] args) {
Executors.newSingleThreadScheduledExecutor().scheduleAtFixedRate(new Thread(new
Runnable() {
@Override
public void run() {
SparkConf conf = new SparkConf();
conf.setAppName("SparkDemo");
JavaSparkContext sparkContext = new JavaSparkContext(conf);
JavaRDD<String> array =
sparkContext.parallelize(Lists.newArrayList("1", "2", "3", "4"));
System.out.println(array.count());
}
}), 0, 5000, TimeUnit.MILLISECONDS);
}
```
Fix this program can't run correctly.
----
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