Do you run Spark in local mode or on a cluster? If on a cluster, try increasing
executor memory.
From: lk_hadoop <lk_had...@163.com>
Sent: Monday, November 12, 2018 7:53 AM
To: user <user@livy.incubator.apache.org>; lk_hadoop <lk_had...@163.com>
Subject: Re: about LIVY-424
I'm using livy-0.5.0 with spark2.3.0，I started a session with 4GB mem for
Driver, And I run code server times :
var tmp1 = spark.sql("use tpcds_bin_partitioned_orc_2");var tmp2 =
spark.sql("select count(1) from tpcds_bin_partitioned_orc_2.store_sales").show
the table have 5760749 rows data.
after run about 10 times , the Driver physical memory will beyond 4.5GB and
killed by yarn.
I saw the old generation memory keep growing and can not release by gc.
2018-11-12
________________________________
lk_hadoop
________________________________
发件人："lk_hadoop"<lk_had...@163.com<mailto:lk_had...@163.com>>
发送时间：2018-11-12 09:37
主题：about LIVY-424
收件人："user"<user@livy.incubator.apache.org<mailto:user@livy.incubator.apache.org>>
抄送：
hi,all:
I meet this issue https://issues.apache.org/jira/browse/LIVY-424 ,
anybody know how to resolve it?
2018-11-12
________________________________
lk_hadoop
