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| author | shekhar.bansal <shekhar.bansal@guavus.com> | 2015-05-05 11:09:51 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2015-05-05 11:09:51 +0100 |
| commit | fc8feaa8e94e1e611d2abb1e5e38de512961502b (patch) | |
| tree | 1973d2e96fc36283f10cf6881ee32f5ee118322b | |
| parent | 4d29867ede9a87b160c3d715c1fb02067feef449 (diff) | |
| download | spark-fc8feaa8e94e1e611d2abb1e5e38de512961502b.tar.gz spark-fc8feaa8e94e1e611d2abb1e5e38de512961502b.tar.bz2 spark-fc8feaa8e94e1e611d2abb1e5e38de512961502b.zip | |
[SPARK-6653] [YARN] New config to specify port for sparkYarnAM actor system
Author: shekhar.bansal <shekhar.bansal@guavus.com>
Closes #5719 from zuxqoj/master and squashes the following commits:
5574ff7 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
5117258 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
9de5330 [shekhar.bansal] [SPARK-6653][yarn] New config to specify port for sparkYarnAM actor system
456a592 [shekhar.bansal] [SPARK-6653][yarn] New configuration property to specify port for sparkYarnAM actor system
803e93e [shekhar.bansal] [SPARK-6653][yarn] New configuration property to specify port for sparkYarnAM actor system
| -rw-r--r-- | docs/running-on-yarn.md | 7 | ||||
| -rw-r--r-- | yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala | 3 |
2 files changed, 9 insertions, 1 deletions
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md index b6701b64c2..4fb4a90307 100644 --- a/docs/running-on-yarn.md +++ b/docs/running-on-yarn.md @@ -134,6 +134,13 @@ Most of the configs are the same for Spark on YARN as for other deployment modes </td> </tr> <tr> + <td><code>spark.yarn.am.port</code></td> + <td>(random)</td> + <td> + Port for the YARN Application Master to listen on. In YARN client mode, this is used to communicate between the Spark driver running on a gateway and the Application Master running on YARN. In YARN cluster mode, this is used for the dynamic executor feature, where it handles the kill from the scheduler backend. + </td> +</tr> +<tr> <td><code>spark.yarn.queue</code></td> <td>default</td> <td> diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala index e1694c1f64..29752969e6 100644 --- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala +++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala @@ -285,7 +285,8 @@ private[spark] class ApplicationMaster( } private def runExecutorLauncher(securityMgr: SecurityManager): Unit = { - rpcEnv = RpcEnv.create("sparkYarnAM", Utils.localHostName, 0, sparkConf, securityMgr) + val port = sparkConf.getInt("spark.yarn.am.port", 0) + rpcEnv = RpcEnv.create("sparkYarnAM", Utils.localHostName, port, sparkConf, securityMgr) waitForSparkDriver() addAmIpFilter() registerAM(sparkConf.get("spark.driver.appUIAddress", ""), securityMgr) |