Have added this to SO, can you guys share any thoughts ? http://stackoverflow.com/questions/35795518/spark-1-6-spills-to-disk-even-when-there-is-enough-memory <http://www.google.com/url?q=http%3A%2F%2Fstackoverflow.com%2Fquestions%2F35795518%2Fspark-1-6-spills-to-disk-even-when-there-is-enough-memory&sa=D&sntz=1&usg=AFQjCNEzDJqylz5aF0998u08RGlf5YF1-g>
On Thu, Mar 3, 2016 at 7:06 AM, Deepak Gopalakrishnan <dgk...@gmail.com> wrote: > Hello, > > I'm using 1.6.0 on EMR > > On Thu, Mar 3, 2016 at 12:34 AM, Yong Zhang <java8...@hotmail.com> wrote: > >> What version of Spark you are using? >> >> I am also trying to figure out how to do the map side join in Spark. >> >> In 1.5.x, there is a broadcast function in the Dataframe, and it caused >> OOM for me simple test case, even one side of join is very small. >> >> I am still trying to find out the root cause yet. >> >> Yong >> >> ------------------------------ >> Date: Wed, 2 Mar 2016 15:38:29 +0530 >> Subject: Re: Mapper side join with DataFrames API >> From: dgk...@gmail.com >> To: mich...@databricks.com >> CC: u...@spark.apache.org >> >> >> Thanks for the help guys. >> >> Just to ask a part of my question in a little different way. >> >> I have attached my screenshots here. There is so much of memory that is >> unused and yet there is a spill ( as in screenshots). Any idea why ? >> >> Thanks >> Deepak >> >> On Wed, Mar 2, 2016 at 5:14 AM, Michael Armbrust <mich...@databricks.com> >> wrote: >> >> Its helpful to always include the output of df.explain(true) when you >> are asking about performance. >> >> On Mon, Feb 29, 2016 at 6:14 PM, Deepak Gopalakrishnan <dgk...@gmail.com> >> wrote: >> >> Hello All, >> >> I'm trying to join 2 dataframes A and B with a >> >> sqlContext.sql("SELECT * FROM A INNER JOIN B ON A.a=B.a"); >> >> Now what I have done is that I have registeredTempTables for A and B >> after loading these DataFrames from different sources. I need the join to >> be really fast and I was wondering if there is a way to use the SQL >> statement and then being able to do a mapper side join ( say my table B is >> small) ? >> >> I read some articles on using broadcast to do mapper side joins. Could I >> do something like this and then execute my sql statement to achieve mapper >> side join ? >> >> DataFrame B = sparkContext.broadcast(B); >> B.registerTempTable("B"); >> >> >> I have a join as stated above and I see in my executor logs the below : >> >> 16/02/29 17:02:35 INFO TaskSetManager: Finished task 198.0 in stage 7.0 >> (TID 1114) in 20354 ms on localhost (196/200) >> 16/02/29 17:02:35 INFO ShuffleBlockFetcherIterator: Getting 200 non-empty >> blocks out of 200 blocks >> 16/02/29 17:02:35 INFO ShuffleBlockFetcherIterator: Started 0 remote >> fetches in 0 ms >> 16/02/29 17:02:35 INFO ShuffleBlockFetcherIterator: Getting 1 non-empty >> blocks out of 128 blocks >> 16/02/29 17:02:35 INFO ShuffleBlockFetcherIterator: Started 0 remote >> fetches in 0 ms >> 16/02/29 17:03:03 INFO Executor: Finished task 199.0 in stage 7.0 (TID >> 1115). 2511 bytes result sent to driver >> 16/02/29 17:03:03 INFO TaskSetManager: Finished task 199.0 in stage 7.0 >> (TID 1115) in 27621 ms on localhost (197/200) >> >> *16/02/29 17:07:06 INFO UnsafeExternalSorter: Thread 124 spilling sort >> data of 256.0 KB to disk (0 time so far)* >> >> >> Now, I have around 10G of executor memory and my memory faction should be >> the default ( 0.75 as per the documentation) and my memory usage is < 1.5G( >> obtained from the Storage tab on Spark dashboard), but still it says >> spilling sort data. I'm a little surprised why this happens even when I >> have enough memory free. >> Any inputs will be greatly appreciated! >> Thanks >> -- >> Regards, >> *Deepak Gopalakrishnan* >> *Mobile*:+918891509774 >> *Skype* : deepakgk87 >> http://myexps.blogspot.com >> >> >> >> >> >> -- >> Regards, >> *Deepak Gopalakrishnan* >> *Mobile*:+918891509774 >> *Skype* : deepakgk87 >> http://myexps.blogspot.com >> >> >> --------------------------------------------------------------------- To >> unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional >> commands, e-mail: user-h...@spark.apache.org >> > > > > -- > Regards, > *Deepak Gopalakrishnan* > *Mobile*:+918891509774 > *Skype* : deepakgk87 > http://myexps.blogspot.com > > -- Regards, *Deepak Gopalakrishnan* *Mobile*:+918891509774 *Skype* : deepakgk87 http://myexps.blogspot.com