[ https://issues.apache.org/jira/browse/SPARK-49950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
xie shuiahu updated SPARK-49950: -------------------------------- Description: ```scala import spark.implicits._ val data = (0 until 10000000).toArray // spend more than 10s val ds = spark.createDataset(data) // spend more than 5s ds.selectExpr("value+2 as value").selectExpr("value+3 as value").selectExpr("value+4 as value").selectExpr("value+5 as value") ``` This is caused by `LocalRelation`, because `mapExpressions` will go into the data and spend a lot of time to tranversal it. Any idea to fix this issue? was: ```scala import spark.implicits._ val data = (0 until 10000000).toArray // spend more than 10s val ds = spark.createDataset(data) // spend more than 5s ds.selectExpr("value+2 as value").selectExpr("value+3 as value").selectExpr("value+4 as value").selectExpr("value+5 as value") ``` This is caused by `LocalRelation`, because `mapExpressions` will go into the data and spend a lot of time to tranversal it. Any idea to fix this issue? > spark planing is too slow when LocalRelation has a lot of data > -------------------------------------------------------------- > > Key: SPARK-49950 > URL: https://issues.apache.org/jira/browse/SPARK-49950 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 3.5.1 > Reporter: xie shuiahu > Priority: Trivial > > ```scala > import spark.implicits._ > val data = (0 until 10000000).toArray > > // spend more than 10s > val ds = spark.createDataset(data) > // spend more than 5s > ds.selectExpr("value+2 as value").selectExpr("value+3 as > value").selectExpr("value+4 as value").selectExpr("value+5 as value") > ``` > > This is caused by `LocalRelation`, because `mapExpressions` will go into the > data and spend a lot of time to tranversal it. Any idea to fix this issue? -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org