Re: spark.sql.autoBroadcastJoinThreshold not taking effect

Maybe you could try “--conf spark.sql.statistics.fallBackToHdfs=true" On 2019/05/11 01:54:27, V0lleyBallJunki3 wrote: > Hello,> >I have set spark.sql.autoBroadcastJoinThreshold=1GB and I am running the> > spark job. However, my application is failing with:> > > at

[jira] Lantao Jin shared "SPARK-21023: Ignore to load default properties file is not a good choice from the perspective of system" with you

Lantao Jin shared an issue with you Hi all, Do you think is it a bug? Should we keep the current behavior still? > Ignore to load default properties file is not a good choice from the > perspective of

[jira] Lantao Jin shared "SPARK-20680: Spark-sql do not support for void column datatype of view" with you

Lantao Jin shared an issue with you > Spark-sql do not support for void column datatype of view > - > > Key: SPARK-20680 > URL: https://issues.

Re: SparkR execution hang on when handle a RDD which is converted from DataFrame

40GB 2016-10-14 14:20 GMT+08:00 Felix Cheung <felixcheun...@hotmail.com>: > How big is the metrics_moveing_detection_cube table? > > > > > > On Thu, Oct 13, 2016 at 8:51 PM -0700, "Lantao Jin" <jinlan...@gmail.com> > wrote: > > sqlContext <

SparkR execution hang on when handle a RDD which is converted from DataFrame

sqlContext <- sparkRHive.init(sc) sqlString<- "SELECT key_id, rtl_week_beg_dt rawdate, gmv_plan_rate_amt value FROM metrics_moveing_detection_cube " df <- sql(sqlString) rdd<-SparkR:::toRDD(df) #hang on case one: take from rdd #take(rdd,3) #hang on case two: convert back to dataframe

Lots of spark-assembly jars localized to /usercache/username/filecache directory

Hi, Our Spark is deployed on YARN and I found there were lots of spark-assembly jars in the Spark heavy user filecache directory (aka /usercache/username/filecache), and you know the assembly jar is bigger than 100 MB before Spark v2. So all of them take 26GB (1/4 reserved space) in most of