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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2015/08/11 19:59:46 UTC
[jira] [Created] (SPARK-9829) peakExecutionMemory is not correct
Davies Liu created SPARK-9829:
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Summary: peakExecutionMemory is not correct
Key: SPARK-9829
URL: https://issues.apache.org/jira/browse/SPARK-9829
Project: Spark
Issue Type: Bug
Components: SQL
Reporter: Davies Liu
Assignee: Shixiong Zhu
When run a query with 8G memory, the peakExecutionMemory in WebUI said that 40344371200 (40G).
Alos there are lots of accumulators with the same name, can't know what do they mean
{code}
Accumulable Value
number of output rows 439614
number of output rows 7711
number of output rows 965
number of rows 7829
number of rows 7711
number of input rows 965
number of rows 52
number of input rows 439614
number of output rows 30
number of input rows 7726
number of rows 277000
peakExecutionMemory 40344371200
number of rows 7829
number of rows 965
number of rows 7726
number of rows 30
number of rows 138000
number of rows 8028
number of rows 439614
number of input rows 30
{code}
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