[ https://issues.apache.org/jira/browse/SPARK-38677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17513536#comment-17513536 ]
Thomas Graves commented on SPARK-38677: --------------------------------------- Note, if you kill the python.daemon process while its hung, it will return to pyspark console and have the right results. I looked through commits in 3.2.1 and it appears that this was introduced by https://issues.apache.org/jira/browse/SPARK-33277 Specifically commit [https://github.com/apache/spark/commit/243c321db2f02f6b4d926114bd37a6e74c2be185] At least I revert that commit and rebuilt and it then works. Also this did not reproduce in standalone mode so it might just be a local mode issue. [~ueshin] [~ankurdave] [~hyukjin.kwon] > pyspark hangs in local mode running rdd map operation > ----------------------------------------------------- > > Key: SPARK-38677 > URL: https://issues.apache.org/jira/browse/SPARK-38677 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 3.2.1, 3.3.0 > Reporter: Thomas Graves > Priority: Blocker > > In spark 3.2.1 (spark 3.2.0 doesn't show this issue), pyspark will hang when > running and RDD map operations and converting to a dataframe. Code is below > to reproduce. > Env: > spark 3.2.1 local mode, just run {{./bin/pyspark --driver-memory XXXXG > --driver-cores XXXX}} > {{download dataset from here > [https://rapidsai-data.s3.us-east-2.amazonaws.com/spark/mortgage.zip]}} > {{just 200000 rows could reproduce the issue }}{{head -n 200000 > mortgage_eval_merged.csv > mortgage_eval_merged-small.csv}}{{{} but if the > input dataset is small, such 50000 rows, it works well.{}}}{{{}{}}}run codes > below: > {code:java} > path = "/XXXX/mortgage_eval_merged-small.csv" src_data = > sc.textFile(path).map(lambda x:x.split(",")) column_list = > ['c1','c2','c3','c4','c5','c6','c7','c8','c9','c10','c11','c12','c13','c14','c15','c16','c17','c18','c19','c20','c21','c22','c23','c24','c25','c26','c27','c28'] > df = spark.createDataFrame(src_data,column_list) print(df.show(1)){code} -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org