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https://issues.apache.org/jira/browse/SPARK-37034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17437213#comment-17437213
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xiaoli commented on SPARK-37034:
[~cloud_fan] Thanks very much. The hint in your answer
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xiaoli commented on SPARK-37034:
[~dongjoon] [~yumwang] [~cloud_fan] Sorry to ping yo
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xiaoli updated SPARK-37034:
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Description:
Spark has support vectorized read for ORC and parquet. What's the progress of
other vectorized
xiaoli created SPARK-37034:
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Summary: What's the progress of vectorized execution for spark?
Key: SPARK-37034
URL: https://issues.apache.org/jira/browse/SPARK-37034
Project: Spark
Issue Type: New Fe
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https://issues.apache.org/jira/browse/SPARK-35274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xiaoli updated SPARK-35274:
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External issue ID: HIVE-4243
Labels: hive orc (was: )
> old hive table's all columns are rea
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xiaoli updated SPARK-35274:
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Description:
I asked this question
[before|https://issues.apache.org/jira/browse/SPARK-35190], but perhaps
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https://issues.apache.org/jira/browse/SPARK-35274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xiaoli updated SPARK-35274:
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Description:
I asked this question
[before|hhttps://issues.apache.org/jira/browse/SPARK-35190], but perhaps
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https://issues.apache.org/jira/browse/SPARK-35274?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xiaoli updated SPARK-35274:
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Description:
I asked this question before, but perhaps I did not addressed question clearly,
so I did not g
xiaoli created SPARK-35274:
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Summary: old hive table's all columns are read when column pruning
applies in spark3.0
Key: SPARK-35274
URL: https://issues.apache.org/jira/browse/SPARK-35274
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-35190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17331418#comment-17331418
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xiaoli commented on SPARK-35190:
Hi [~hyukjin.kwon] Thanks for your checking my question
xiaoli created SPARK-35191:
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Summary: all columns are read even if column pruning applies when
spark3.0 read table written by spark2.2
Key: SPARK-35191
URL: https://issues.apache.org/jira/browse/SPARK-35191
xiaoli created SPARK-35190:
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Summary: all columns are read even if column pruning applies when
spark3.0 read table written by spark2.2
Key: SPARK-35190
URL: https://issues.apache.org/jira/browse/SPARK-35190
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