Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/16865#discussion_r100422867
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -1004,7 +1016,8 @@ object CodeGenerator extends Logging {
* weak keys/values and thus does not respond to memory pressure.
*/
private val cache = CacheBuilder.newBuilder()
- .maximumSize(100)
+ .maximumWeight(10 * 1024 * 1024)
--- End diff --
Hi, @viirya . If this is configured as 10MB, we can have 160 cached items
with each 64KB code.
It looks like this patch will make Spark consume more memory than the
existing one.
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