RE: Issues with partitionBy: FetchFailed

2014-09-22 Thread Shao, Saisai
Subject: Re: Issues with partitionBy: FetchFailed Hi Jerry, For the one executor hung with one CPU core running at 100%, that sounds exactly like the symptoms I observed in https://issues.apache.org/jira/browse/SPARK-2546 around a deadlock with the JobConf. The next time that happens can you

Re: Issues with partitionBy: FetchFailed

2014-09-22 Thread Andrew Ash
bably some potential bugs may introduced. > > > > Thanks > > Jerry > > > > *From:* David Rowe [mailto:davidr...@gmail.com] > *Sent:* Monday, September 22, 2014 7:12 PM > *To:* Andrew Ash > *Cc:* Shao, Saisai; Julien Carme; user@spark.apache.org > *Subject:* Re: Iss

Re: Issues with partitionBy: FetchFailed

2014-09-22 Thread David Rowe
y be different from the previous code, > I guess probably some potential bugs may introduced. > > > > Thanks > > Jerry > > > > *From:* David Rowe [mailto:davidr...@gmail.com] > *Sent:* Monday, September 22, 2014 7:12 PM > *To:* Andrew Ash > *Cc:* Shao, Saisai;

RE: Issues with partitionBy: FetchFailed

2014-09-22 Thread Shao, Saisai
from the previous code, I guess probably some potential bugs may introduced. Thanks Jerry From: David Rowe [mailto:davidr...@gmail.com] Sent: Monday, September 22, 2014 7:12 PM To: Andrew Ash Cc: Shao, Saisai; Julien Carme; user@spark.apache.org Subject: Re: Issues with partitionBy: FetchFailed

Re: Issues with partitionBy: FetchFailed

2014-09-22 Thread David Rowe
timeout, default is 60 seconds. >>> >>> >>> >>> Sometimes because of GC pause or some other reasons, acknowledged >>> message will be timeout, which will lead to this exception, you can try >>> setting a large value of this configuration. >>

Re: Issues with partitionBy: FetchFailed

2014-09-22 Thread Andrew Ash
ons, acknowledged message >> will be timeout, which will lead to this exception, you can try setting a >> large value of this configuration. >> >> >> >> Thanks >> >> Jerry >> >> >> >> *From:* Julien Carme [mailto:julien.ca...

Re: Issues with partitionBy: FetchFailed

2014-09-21 Thread David Rowe
gt; > > *From:* Julien Carme [mailto:julien.ca...@gmail.com] > *Sent:* Sunday, September 21, 2014 7:43 PM > *To:* user@spark.apache.org > *Subject:* Issues with partitionBy: FetchFailed > > > > Hello, > > I am facing an issue with partitionBy, it is not clear whether it is a &

RE: Issues with partitionBy: FetchFailed

2014-09-21 Thread Shao, Saisai
, you can try setting a large value of this configuration. Thanks Jerry From: Julien Carme [mailto:julien.ca...@gmail.com] Sent: Sunday, September 21, 2014 7:43 PM To: user@spark.apache.org Subject: Issues with partitionBy: FetchFailed Hello, I am facing an issue with partitionBy, it is not

Issues with partitionBy: FetchFailed

2014-09-21 Thread Julien Carme
Hello, I am facing an issue with partitionBy, it is not clear whether it is a problem with my code or with my spark setup. I am using Spark 1.1, standalone, and my other spark projects work fine. So I have to repartition a relatively large file (about 70 million lines). Here is a minimal version