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https://issues.apache.org/jira/browse/SPARK-48359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xi Lyu updated SPARK-48359:
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Description:
Some users are using UDFs for Zstd compression and decompression, which results
in poor
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https://issues.apache.org/jira/browse/SPARK-48359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-48359:
---
Description:
Some users are using UDFs for Zstd compression and decompression, which results
in poor
[
https://issues.apache.org/jira/browse/SPARK-48359?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-48359:
---
Description:
Some users are using UDFs for Zstd compression and decompression, which results
in poor
Xi Lyu created SPARK-48359:
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Summary: Built-in functions for Zstd compression and decompression
Key: SPARK-48359
URL: https://issues.apache.org/jira/browse/SPARK-48359
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-47818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xi Lyu updated SPARK-47818:
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Description:
While building the DataFrame step by step, each time a new DataFrame is
generated with an
[
https://issues.apache.org/jira/browse/SPARK-47818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47818:
---
Description:
While building the DataFrame step by step, each time a new DataFrame is
generated with an
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https://issues.apache.org/jira/browse/SPARK-47819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xi Lyu updated SPARK-47819:
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Description:
Expired sessions are regularly checked and cleaned up by a maintenance thread.
However,
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https://issues.apache.org/jira/browse/SPARK-47819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47819:
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Description:
Expired sessions are regularly checked and cleaned up by a maintenance thread.
However,
[
https://issues.apache.org/jira/browse/SPARK-47818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47818:
---
Description:
While building the DataFrame step by step, each time a new DataFrame is
generated with an
[
https://issues.apache.org/jira/browse/SPARK-47819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47819:
---
Description:
Expired sessions are regularly checked and cleaned up by a maintenance thread.
However,
[
https://issues.apache.org/jira/browse/SPARK-47819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47819:
---
Description:
Expired sessions are regularly checked and cleaned up by a maintenance thread.
However,
Xi Lyu created SPARK-47819:
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Summary: Use asynchronous callback for execution cleanup
Key: SPARK-47819
URL: https://issues.apache.org/jira/browse/SPARK-47819
Project: Spark
Issue Type: Improvement
[
https://issues.apache.org/jira/browse/SPARK-47818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xi Lyu updated SPARK-47818:
---
Description:
While building the DataFrame step by step, each time a new DataFrame is
generated with an
Xi Lyu created SPARK-47818:
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Summary: Introduce plan cache in SparkConnectPlanner to improve
performance of Analyze requests
Key: SPARK-47818
URL: https://issues.apache.org/jira/browse/SPARK-47818
Project:
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