https://issues.apache.org/jira/browse/SPARK-8369 Created
And I’m working on a PR.
Thanks
Dong Lei
From: Cheng Lian [mailto:lian.cs@gmail.com]
Sent: Friday, June 12, 2015 7:03 PM
To: Dong Lei
Cc: Dianfei (Keith) Han; dev@spark.apache.org
Subject: Re: How to support dependency jars and files on HDFS in standalone
cluster mode?
Would you mind to file a JIRA for this? Thanks!
Cheng
On 6/11/15 2:40 PM, Dong Lei wrote:
I think in standalone cluster mode, spark is supposed to do:
1. Download jars, files to driver
2. Set the driver’s class path
3. Driver setup a http file server to distribute these files
4. Worker download from driver and setup classpath
Right?
But somehow, the first step fails.
Even if I can make the first step works(use option1), it seems that the
classpath in driver is not correctly set.
Thanks
Dong Lei
From: Cheng Lian [mailto:lian.cs@gmail.com]
Sent: Thursday, June 11, 2015 2:32 PM
To: Dong Lei
Cc: Dianfei (Keith) Han; dev@spark.apache.orgmailto:dev@spark.apache.org
Subject: Re: How to support dependency jars and files on HDFS in standalone
cluster mode?
Oh sorry, I mistook --jars for --files. Yeah, for jars we need to add them to
classpath, which is different from regular files.
Cheng
On 6/11/15 2:18 PM, Dong Lei wrote:
Thanks Cheng,
If I do not use --jars how can I tell spark to search the jars(and files) on
HDFS?
Do you mean the driver will not need to setup a HTTP file server for this
scenario and the worker will fetch the jars and files from HDFS?
Thanks
Dong Lei
From: Cheng Lian [mailto:lian.cs@gmail.com]
Sent: Thursday, June 11, 2015 12:50 PM
To: Dong Lei; dev@spark.apache.orgmailto:dev@spark.apache.org
Cc: Dianfei (Keith) Han
Subject: Re: How to support dependency jars and files on HDFS in standalone
cluster mode?
Since the jars are already on HDFS, you can access them directly in your Spark
application without using --jars
Cheng
On 6/11/15 11:04 AM, Dong Lei wrote:
Hi spark-dev:
I can not use a hdfs location for the “--jars” or “--files” option when doing a
spark-submit in a standalone cluster mode. For example:
Spark-submit … --jars hdfs://ip/1.jar …. hdfs://ip/app.jar
(standalone cluster mode)
will not download 1.jar to driver’s http file server(but the app.jar will be
downloaded to the driver’s dir).
I figure out the reason spark not downloading the jars is that when doing
sc.addJar to http file server, the function called is Files.copy which does not
support a remote location.
And I think if spark can download the jars and add them to http file server,
the classpath is not correctly set, because the classpath contains remote
location.
So I’m trying to make it work and come up with two options, but neither of them
seem to be elegant, and I want to hear your advices:
Option 1:
Modify HTTPFileServer.addFileToDir, let it recognize a “hdfs” prefix.
This is not good because I think it breaks the scope of http file server.
Option 2:
Modify DriverRunner.downloadUserJar, let it download all the “--jars” and
“--files” with the application jar.
This sounds more reasonable that option 1 for downloading files. But this way I
need to read the “spark.jars” and “spark.files” on downloadUserJar or
DriverRunnder.start and replace it with a local path. How can I do that?
Do you have a more elegant solution, or do we have a plan to support it in the
furture?
Thanks
Dong Lei
