[
https://issues.apache.org/jira/browse/SPARK-12482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kyle Sutton updated SPARK-12482:
--------------------------------
Description:
The issue of the file server using the default IP instead of the IP address
configured through {{spark.driver.host}} still exists in _Spark 1.5.2_
The problem is that, while the file server is listening on all ports on the
file server host, the _Spark_ service attempts to call back to the default port
of the host, to which it may or may not have connectivity.
For instance, the following setup causes a {{java.net.SocketTimeoutException}}
when the _Spark_ service tries to contact the _Spark_ driver host for a JAR:
* Driver host has a default IP of {{192.168.1.2}} and a secondary LAN
connection IP of {{172.30.0.2}}
* _Spark_ service is on the LAN with an IP of {{172.30.0.3}}
* A connection is made from the driver host to the _Spark_ service
** {{spark.driver.host}} is set to the IP of the driver host on the LAN
{{172.30.0.2}}
** {{spark.driver.port}} is set to {{50003}}
** {{spark.fileserver.port}} is set to {{50005}}
* Locally (on the driver host), the following listeners are active:
** {{0.0.0.0:50005}}
** {{172.30.0.2:50003}}
* The _Spark_ service calls back to the file server host for a JAR file using
the driver host's default IP: {{http://192.168.1.2:50005/jars/code.jar}}
* The _Spark_ service, being on a different network than the driver host,
cannot see the {{192.168.1.0/24}} address space, and fails to connect to the
file server
** A {{netstat}} on the _Spark_ service host will show the connection to the
file server host as being in {{SYN_SENT}} state until the process gives up
trying to connect
{code:title=Driver|borderStyle=solid}
SparkConf conf = new SparkConf()
.setMaster("spark://172.30.0.3:7077")
.setAppName("TestApp")
.set("spark.driver.host", "172.30.0.2")
.set("spark.driver.port", "50003")
.set("spark.fileserver.port", "50005");
JavaSparkContext sc = new JavaSparkContext(conf);
sc.addJar("target/code.jar");
{code}
{code:title=Stacktrace|borderStyle=solid}
15/12/22 12:48:33 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
172.30.0.3): java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
at
java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at
java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at
java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at
sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1169)
at
sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1105)
at
sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:999)
at
sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:933)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:555)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:356)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:405)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:397)
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:397)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{code}
Given that the configured {{spark.driver.host}} must necessarily be accessible
by the _Spark_ service, it makes sense to reuse it for fileserver connections
and any other _Spark_ service -> driver host connections.
\\
----
\\
Original report follows:
I initially inquired about this here:
http://mail-archives.apache.org/mod_mbox/spark-user/201503.mbox/%3ccalq9kxcn2mwfnd4r4k0q+qh1ypwn3p8rgud1v6yrx9_05lv...@mail.gmail.com%3E
If the Spark driver host has multiple IPs and spark.driver.host is set to one
of them, I would expect the fileserver to start on the same IP. I checked
HttpServer and the jetty Server is started the default IP of the machine:
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/HttpServer.scala#L75
Something like this might work instead:
{code:title=HttpServer.scala#L75}
val server = new Server(new InetSocketAddress(conf.get("spark.driver.host"), 0))
{code}
was:
The issue of the file server using the default IP instead of the IP address
configured through {{spark.driver.host}} still exists in _Spark 1.5.2_
The problem is that, while the file server is listening on all ports on the
file server host, the _Spark_ service attempts to call back to the default port
of the host, to which it may or may not have connectivity.
For instance, the following setup causes a {{java.net.SocketTimeoutException}}
when the _Spark_ service tries to contact the _Spark_ driver host for a JAR:
* Driver host has a default IP of {{192.168.1.2}} and a secondary LAN
connection IP of {{172.30.0.2}}
* _Spark_ service is on the LAN with an IP of {{172.30.0.3}}
* A connection is made from the driver host to the _Spark_ service
** {{spark.driver.host}} is set to the IP of the driver host on the LAN
{{172.30.0.2}}
** {{spark.driver.port}} is set to {{50003}}
** {{spark.fileserver.port}} is set to {{50005}}
* Locally (on the driver host), the following listeners are active:
** {{0.0.0.0:50005}}
** {{172.30.0.2:50003}}
* The _Spark_ service calls back to the file server host for a JAR file using
the driver host's default IP: {{http://192.168.1.2:50005/jars/code.jar}}
* The _Spark_ service, being on a different network than the driver host,
cannot see the {{192.168.1.0/24}} address space, and fails to connect to the
file server
** A {{netstat}} on the _Spark_ service host will show the connection to the
file server host as being in {{SYN_SENT}} state until the process gives up
trying to connect
{code:title=Stacktrace|borderStyle=solid}
15/12/22 12:48:33 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
172.30.0.3): java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
at
java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at
java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at
java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at
sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1169)
at
sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1105)
at
sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:999)
at
sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:933)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:555)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:356)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:405)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:397)
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:397)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{code}
Given that the configured {{spark.driver.host}} must necessarily be accessible
by the _Spark_ service, it makes sense to reuse it for fileserver connections
and any other _Spark_ service -> driver host connections.
\\
----
\\
Original report follows:
I initially inquired about this here:
http://mail-archives.apache.org/mod_mbox/spark-user/201503.mbox/%3ccalq9kxcn2mwfnd4r4k0q+qh1ypwn3p8rgud1v6yrx9_05lv...@mail.gmail.com%3E
If the Spark driver host has multiple IPs and spark.driver.host is set to one
of them, I would expect the fileserver to start on the same IP. I checked
HttpServer and the jetty Server is started the default IP of the machine:
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/HttpServer.scala#L75
Something like this might work instead:
{code:title=HttpServer.scala#L75}
val server = new Server(new InetSocketAddress(conf.get("spark.driver.host"), 0))
{code}
> CLONE - Spark fileserver not started on same IP as using spark.driver.host
> --------------------------------------------------------------------------
>
> Key: SPARK-12482
> URL: https://issues.apache.org/jira/browse/SPARK-12482
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.2.1, 1.5.2
> Reporter: Kyle Sutton
>
> The issue of the file server using the default IP instead of the IP address
> configured through {{spark.driver.host}} still exists in _Spark 1.5.2_
> The problem is that, while the file server is listening on all ports on the
> file server host, the _Spark_ service attempts to call back to the default
> port of the host, to which it may or may not have connectivity.
> For instance, the following setup causes a
> {{java.net.SocketTimeoutException}} when the _Spark_ service tries to contact
> the _Spark_ driver host for a JAR:
> * Driver host has a default IP of {{192.168.1.2}} and a secondary LAN
> connection IP of {{172.30.0.2}}
> * _Spark_ service is on the LAN with an IP of {{172.30.0.3}}
> * A connection is made from the driver host to the _Spark_ service
> ** {{spark.driver.host}} is set to the IP of the driver host on the LAN
> {{172.30.0.2}}
> ** {{spark.driver.port}} is set to {{50003}}
> ** {{spark.fileserver.port}} is set to {{50005}}
> * Locally (on the driver host), the following listeners are active:
> ** {{0.0.0.0:50005}}
> ** {{172.30.0.2:50003}}
> * The _Spark_ service calls back to the file server host for a JAR file using
> the driver host's default IP: {{http://192.168.1.2:50005/jars/code.jar}}
> * The _Spark_ service, being on a different network than the driver host,
> cannot see the {{192.168.1.0/24}} address space, and fails to connect to the
> file server
> ** A {{netstat}} on the _Spark_ service host will show the connection to the
> file server host as being in {{SYN_SENT}} state until the process gives up
> trying to connect
> {code:title=Driver|borderStyle=solid}
> SparkConf conf = new SparkConf()
> .setMaster("spark://172.30.0.3:7077")
> .setAppName("TestApp")
> .set("spark.driver.host", "172.30.0.2")
> .set("spark.driver.port", "50003")
> .set("spark.fileserver.port", "50005");
> JavaSparkContext sc = new JavaSparkContext(conf);
> sc.addJar("target/code.jar");
> {code}
> {code:title=Stacktrace|borderStyle=solid}
> 15/12/22 12:48:33 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
> 172.30.0.3): java.net.SocketTimeoutException: connect timed out
> at java.net.PlainSocketImpl.socketConnect(Native Method)
> at
> java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
> at
> java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
> at
> java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
> at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
> at java.net.Socket.connect(Socket.java:589)
> at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
> at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
> at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
> at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
> at sun.net.www.http.HttpClient.New(HttpClient.java:308)
> at sun.net.www.http.HttpClient.New(HttpClient.java:326)
> at
> sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1169)
> at
> sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1105)
> at
> sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:999)
> at
> sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:933)
> at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:555)
> at org.apache.spark.util.Utils$.fetchFile(Utils.scala:356)
> at
> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:405)
> at
> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:397)
> at
> scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at
> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
> at
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
> at
> scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
> at
> org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:397)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> Given that the configured {{spark.driver.host}} must necessarily be
> accessible by the _Spark_ service, it makes sense to reuse it for fileserver
> connections and any other _Spark_ service -> driver host connections.
> \\
> ----
> \\
> Original report follows:
> I initially inquired about this here:
> http://mail-archives.apache.org/mod_mbox/spark-user/201503.mbox/%3ccalq9kxcn2mwfnd4r4k0q+qh1ypwn3p8rgud1v6yrx9_05lv...@mail.gmail.com%3E
> If the Spark driver host has multiple IPs and spark.driver.host is set to one
> of them, I would expect the fileserver to start on the same IP. I checked
> HttpServer and the jetty Server is started the default IP of the machine:
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/HttpServer.scala#L75
> Something like this might work instead:
> {code:title=HttpServer.scala#L75}
> val server = new Server(new InetSocketAddress(conf.get("spark.driver.host"),
> 0))
> {code}
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