[ https://issues.apache.org/jira/browse/SPARK-24727?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ant_nebula updated SPARK-24727: ------------------------------- Description: private val cache = CacheBuilder.newBuilder().maximumSize(100).build The cache 100 in org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small for realtime streaming calculation, although is ok for offline calculation. Because realtime streaming calculation is mostly more complex is one driver, and performance sensitive. I suggest spark support configging for user with default 100, such as spark.codegen.cache. was: private val cache = CacheBuilder.newBuilder().maximumSize(100).build The cache 100 in org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small for realtime streaming calculation, although is ok for realtime calculation. Because realtime streaming calculation is mostly more complex is one driver. I suggest spark support configging for user with default 100, such as spark.codegen.cache. > The cache 100 in CodeGenerator is too small for streaming > --------------------------------------------------------- > > Key: SPARK-24727 > URL: https://issues.apache.org/jira/browse/SPARK-24727 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.3.1 > Reporter: ant_nebula > Priority: Major > > private val cache = CacheBuilder.newBuilder().maximumSize(100).build > The cache 100 in > org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator is too small > for realtime streaming calculation, although is ok for offline calculation. > Because realtime streaming calculation is mostly more complex is one driver, > and performance sensitive. > I suggest spark support configging for user with default 100, such as > spark.codegen.cache. > -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org