Hi, Alena, regarding "1) Ignite MR works slower than Hive on TEZ, but faster than Hive on MR." -- as far as I remember, you have observed incorrect results with Ignite MR, and we didn't find the reason, just abandoned that. Performance measurements don't have much sense until we have correct query results. So, I would say that there we just don't have results we can trust.
Regarding ""Out of memory: Kill process" -- this means that Ignite node process requested so much memory that OS failed to give. This may be investigated further -- all the memory limits set for Ignite node should be checked and compared to the real memory physically available on the host. Do I correctly understand that Ignite MR was not used in that experiment? On Mon, May 15, 2017 at 9:32 AM, Alena Melnikova <al...@74.ru> wrote: > Hi Ivan, > > You're right. In kernel log there is message: "Out of memory: Kill process > 19988 (java)" > > Let me sum up, please, correct me if I'm wrong. > If we use Hive + Tez we don't need Hadoop Accelerator because: > 1) Ignite MR works slower than Hive on TEZ, but faster than Hive on MR. > 2) TEZ+HDFS and TEZ+IGFS work at the same speed. Although TEZ+IGFS can be > faster in queries with intensive I/O (need to test). > > Many thanks for your patience and prompt help. > I'm going to try Ignite + Spark, I'll open new topic) > > > > -- > View this message in context: http://apache-ignite-users. > 70518.x6.nabble.com/HDP-Hive-Ignite-tp12195p12838.html > Sent from the Apache Ignite Users mailing list archive at Nabble.com. >
