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Patrick Wendell commented on SPARK-1518: ---------------------------------------- bq. Thanks, Patrick. This is useful info... I didn't realize there was still interest in running Spark against CDH3. Certainly we'll never support it directly, since CDH3 was end-of-lifed last year. So we don't really support doing anything on CDH3... except upgrading it to CDH4 (or hopefully, 5 which has Spark. Yeah, the upstream project tries pretty hard to maintain compatibility with as many Hadoop versions as possible since we see many people running even fairly old ones in the wild. Of course, I'm sure Cloudera will commercially support only the most recent ones. bq. Re: versioning - I was just asking whether this changes the oldest version we are compatible with. That's a question we should ask of all Hadoop patches. I just tested Spark and it doesn't compile against 0.20.X, so this is a no-op in terms of compatibility anyways. It won't make the 1.0.0 window but we should get it into a 1.0.X release. My concern is that once newer Hadoop versions come out, I want people to be able to compile Spark against them. Again, since Spark is distributed independently from HDFS, this is something that happens a lot, people try to compile older Spark releases against newer Hadoop releases. > Spark master doesn't compile against hadoop-common trunk > -------------------------------------------------------- > > Key: SPARK-1518 > URL: https://issues.apache.org/jira/browse/SPARK-1518 > Project: Spark > Issue Type: Bug > Reporter: Marcelo Vanzin > Assignee: Colin Patrick McCabe > Priority: Critical > > FSDataOutputStream::sync() has disappeared from trunk in Hadoop; > FileLogger.scala is calling it. > I've changed it locally to hsync() so I can compile the code, but haven't > checked yet whether those are equivalent. hsync() seems to have been there > forever, so it hopefully works with all versions Spark cares about. -- This message was sent by Atlassian JIRA (v6.2#6252)