[jira] [Updated] (SPARK-28153) Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF)
[ https://issues.apache.org/jira/browse/SPARK-28153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-28153: -- Summary: Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF) (was: input_file_name doesn't work with Python UDF in the same project) > Use AtomicReference at InputFileBlockHolder (to support input_file_name with > Python UDF) > > > Key: SPARK-28153 > URL: https://issues.apache.org/jira/browse/SPARK-28153 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.3, 3.0.0, 2.4.3 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Major > Fix For: 3.0.0 > > > {code} > from pyspark.sql.functions import udf, input_file_name > spark.range(10).write.mode("overwrite").parquet("/tmp/foo") > spark.read.parquet("/tmp/foo").select(udf(lambda x: x, "long")("id"), > input_file_name()).show() > {code} > {code} > ++-+ > |(id)|input_file_name()| > ++-+ > | 8| | > | 5| | > | 0| | > | 9| | > | 6| | > | 2| | > | 3| | > | 4| | > | 7| | > | 1| | > ++-+ > {code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-28153) Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF)
[ https://issues.apache.org/jira/browse/SPARK-28153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-28153: - Fix Version/s: (was: 3.0.0) > Use AtomicReference at InputFileBlockHolder (to support input_file_name with > Python UDF) > > > Key: SPARK-28153 > URL: https://issues.apache.org/jira/browse/SPARK-28153 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.3, 3.0.0, 2.4.3 >Reporter: Hyukjin Kwon >Priority: Major > > {code} > from pyspark.sql.functions import udf, input_file_name > spark.range(10).write.mode("overwrite").parquet("/tmp/foo") > spark.read.parquet("/tmp/foo").select(udf(lambda x: x, "long")("id"), > input_file_name()).show() > {code} > {code} > ++-+ > |(id)|input_file_name()| > ++-+ > | 8| | > | 5| | > | 0| | > | 9| | > | 6| | > | 2| | > | 3| | > | 4| | > | 7| | > | 1| | > ++-+ > {code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-28153) Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF)
[ https://issues.apache.org/jira/browse/SPARK-28153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-28153: - Fix Version/s: (was: 3.0.0) > Use AtomicReference at InputFileBlockHolder (to support input_file_name with > Python UDF) > > > Key: SPARK-28153 > URL: https://issues.apache.org/jira/browse/SPARK-28153 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.3, 3.0.0, 2.4.3 >Reporter: Hyukjin Kwon >Priority: Major > > {code} > from pyspark.sql.functions import udf, input_file_name > spark.range(10).write.mode("overwrite").parquet("/tmp/foo") > spark.read.parquet("/tmp/foo").select(udf(lambda x: x, "long")("id"), > input_file_name()).show() > {code} > {code} > ++-+ > |(id)|input_file_name()| > ++-+ > | 8| | > | 5| | > | 0| | > | 9| | > | 6| | > | 2| | > | 3| | > | 4| | > | 7| | > | 1| | > ++-+ > {code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-28153) Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF)
[ https://issues.apache.org/jira/browse/SPARK-28153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-28153: - Fix Version/s: (was: 3.0.0) > Use AtomicReference at InputFileBlockHolder (to support input_file_name with > Python UDF) > > > Key: SPARK-28153 > URL: https://issues.apache.org/jira/browse/SPARK-28153 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.3, 3.0.0, 2.4.3 >Reporter: Hyukjin Kwon >Priority: Major > > {code} > from pyspark.sql.functions import udf, input_file_name > spark.range(10).write.mode("overwrite").parquet("/tmp/foo") > spark.read.parquet("/tmp/foo").select(udf(lambda x: x, "long")("id"), > input_file_name()).show() > {code} > {code} > ++-+ > |(id)|input_file_name()| > ++-+ > | 8| | > | 5| | > | 0| | > | 9| | > | 6| | > | 2| | > | 3| | > | 4| | > | 7| | > | 1| | > ++-+ > {code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-28153) Use AtomicReference at InputFileBlockHolder (to support input_file_name with Python UDF)
[ https://issues.apache.org/jira/browse/SPARK-28153?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-28153: -- Fix Version/s: 2.4.4 > Use AtomicReference at InputFileBlockHolder (to support input_file_name with > Python UDF) > > > Key: SPARK-28153 > URL: https://issues.apache.org/jira/browse/SPARK-28153 > Project: Spark > Issue Type: Bug > Components: PySpark >Affects Versions: 2.3.3, 3.0.0, 2.4.3 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Major > Fix For: 2.4.4, 3.0.0 > > > {code} > from pyspark.sql.functions import udf, input_file_name > spark.range(10).write.mode("overwrite").parquet("/tmp/foo") > spark.read.parquet("/tmp/foo").select(udf(lambda x: x, "long")("id"), > input_file_name()).show() > {code} > {code} > ++-+ > |(id)|input_file_name()| > ++-+ > | 8| | > | 5| | > | 0| | > | 9| | > | 6| | > | 2| | > | 3| | > | 4| | > | 7| | > | 1| | > ++-+ > {code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org