[ https://issues.apache.org/jira/browse/SPARK-23563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23563: ------------------------------------ Assignee: (was: Apache Spark) > make the size fo cache in CodeGenerator configable > -------------------------------------------------- > > Key: SPARK-23563 > URL: https://issues.apache.org/jira/browse/SPARK-23563 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.3.0 > Reporter: kejiqing > Priority: Minor > > the cache in class > org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator has a hard > cod maxmunSize 100, current code is: > > {code:java} > // scala > private val cache = CacheBuilder.newBuilder() > .maximumSize(100) > .build( > new CacheLoader[CodeAndComment, (GeneratedClass, Int)]() { > override def load(code: CodeAndComment): (GeneratedClass, Int) = { > val startTime = System.nanoTime() > val result = doCompile(code) > val endTime = System.nanoTime() > def timeMs: Double = (endTime - startTime).toDouble / 1000000 > CodegenMetrics.METRIC_SOURCE_CODE_SIZE.update(code.body.length) > CodegenMetrics.METRIC_COMPILATION_TIME.update(timeMs.toLong) > logInfo(s"Code generated in $timeMs ms") > result > } > }) > {code} > In some specific situation, for example: a long term and spark tasks are > unchanged, the size of cache maximumSize configuration is a better idea. > -- 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