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wyp edited comment on SPARK-28587 at 8/19/19 3:57 AM:
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The above SQL is really
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wyp edited comment on SPARK-28587 at 8/19/19 3:55 AM:
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The current implementation
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wyp commented on SPARK-28587:
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The current implementation we are unable to add any conversion function,
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wyp edited comment on SPARK-28587 at 8/19/19 3:27 AM:
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Phoenix does not support the
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wyp commented on SPARK-28587:
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Phoenix does not support the extract function, all the supported functions
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wyp updated SPARK-28587:
Attachment: extract_datetime.gif
> JDBC data source's partition whereClause should support jdbc dialect
>
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wyp commented on SPARK-28587:
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Yes, the query above will work fine in postgres database.
> JDBC data
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wyp edited comment on SPARK-28587 at 8/16/19 9:19 AM:
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[~maropu], Thank you for
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wyp commented on SPARK-28587:
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[~maropu], Thank you for your reply.
If the type of the TIMES field is
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wyp updated SPARK-28587:
Description:
When we use JDBC data source to search data from Phoenix, and use timestamp
data type column for
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wyp updated SPARK-28587:
Description:
When we use JDBC data source to search data from Phoenix, and use timestamp
data type column for
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wyp commented on SPARK-28587:
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Hi, [~maropu] Thank you for your review, My test environment:
Phoenix
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wyp updated SPARK-28587:
Description:
When we use JDBC data source to search data from Phoenix, and use timestamp
data type column for
wyp created SPARK-28587:
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Summary: JDBC data source's partition whereClause should support
jdbc dialect
Key: SPARK-28587
URL: https://issues.apache.org/jira/browse/SPARK-28587
Project: Spark
Issue
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