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https://issues.apache.org/jira/browse/PHOENIX-2784?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Mahonin updated PHOENIX-2784:
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Attachment: PHOENIX-2784.patch
> phoenix-spark: Allow coercion of DATE fields to TIMESTAMP when loading
> DataFrames
> ---------------------------------------------------------------------------------
>
> Key: PHOENIX-2784
> URL: https://issues.apache.org/jira/browse/PHOENIX-2784
> Project: Phoenix
> Issue Type: Improvement
> Affects Versions: 4.7.0
> Reporter: Josh Mahonin
> Assignee: Josh Mahonin
> Priority: Minor
> Attachments: PHOENIX-2784.patch
>
>
> The Phoenix DATE type is internally represented as an 8 bytes, which can
> store a full 'yyyy-MM-dd hh:mm:ss' time component. However, Spark SQL follows
> the SQL Date spec and keeps only the 'yyyy-MM-dd' portion as a 4 byte type.
> When loading Phoenix DATE columns using the Spark DataFrame API, the
> 'hh:mm:ss' component is lost.
> This patch allows setting a new 'dateAsTimestamp' option when loading a
> DataFrame, which will coerce the underlying Date object to a Timestamp so
> that the full time component is loaded.
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