[jira] [Commented] (SPARK-18634) Corruption and Correctness issues with exploding Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15725194#comment-15725194 ] Apache Spark commented on SPARK-18634: -- User 'hvanhovell' has created a pull request for this issue: https://github.com/apache/spark/pull/16170 > Corruption and Correctness issues with exploding Python UDFs > > > Key: SPARK-18634 > URL: https://issues.apache.org/jira/browse/SPARK-18634 > Project: Spark > Issue Type: Bug > Components: PySpark, SQL >Affects Versions: 2.0.2, 2.1.0 >Reporter: Burak Yavuz >Assignee: Liang-Chi Hsieh > Fix For: 2.0.3, 2.1.0 > > > There are some weird issues with exploding Python UDFs in SparkSQL. > There are 2 cases where based on the DataType of the exploded column, the > result can be flat out wrong, or corrupt. Seems like something bad is > happening when telling Tungsten the schema of the rows during or after > applying the UDF. > Please check the code below for reproduction. > Notebook: > https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6186780348633019/3425836135165635/4343791953238323/latest.html -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-18634) Corruption and Correctness issues with exploding Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-18634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15715468#comment-15715468 ] Apache Spark commented on SPARK-18634: -- User 'viirya' has created a pull request for this issue: https://github.com/apache/spark/pull/16120 > Corruption and Correctness issues with exploding Python UDFs > > > Key: SPARK-18634 > URL: https://issues.apache.org/jira/browse/SPARK-18634 > Project: Spark > Issue Type: Bug > Components: PySpark, SQL >Affects Versions: 2.0.2, 2.1.0 >Reporter: Burak Yavuz > > There are some weird issues with exploding Python UDFs in SparkSQL. > There are 2 cases where based on the DataType of the exploded column, the > result can be flat out wrong, or corrupt. Seems like something bad is > happening when telling Tungsten the schema of the rows during or after > applying the UDF. > Please check the code below for reproduction. > Notebook: > https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6186780348633019/3425836135165635/4343791953238323/latest.html -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
