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authorTao Wang <wangtao111@huawei.com>2016-08-10 22:30:18 -0700
committerReynold Xin <rxin@databricks.com>2016-08-10 22:30:18 -0700
commit7a6a3c3fbcea889ca20beae9d4198df2fe53bd1b (patch)
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parent665e175328130ab3eb0370cdd2a43ed5a7bed1d6 (diff)
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[SPARK-17010][MINOR][DOC] Wrong description in memory management document
## What changes were proposed in this pull request? change the remain percent to right one. ## How was this patch tested? Manual review Author: Tao Wang <wangtao111@huawei.com> Closes #14591 from WangTaoTheTonic/patch-1.
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@@ -115,7 +115,7 @@ Although there are two relevant configurations, the typical user should not need
as the default values are applicable to most workloads:
* `spark.memory.fraction` expresses the size of `M` as a fraction of the (JVM heap space - 300MB)
-(default 0.6). The rest of the space (25%) is reserved for user data structures, internal
+(default 0.6). The rest of the space (40%) is reserved for user data structures, internal
metadata in Spark, and safeguarding against OOM errors in the case of sparse and unusually
large records.
* `spark.memory.storageFraction` expresses the size of `R` as a fraction of `M` (default 0.5).