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Hudson commented on PHOENIX-2784: --------------------------------- SUCCESS: Integrated in Phoenix-master #1224 (See [https://builds.apache.org/job/Phoenix-master/1224/]) PHOENIX-2784 phoenix-spark: Allow coercion of DATE to TIMESTAMP for (jmahonin: rev 98e783cf6d7b4644660f48961795699d5374ce3f) * phoenix-spark/src/it/scala/org/apache/phoenix/spark/PhoenixSparkIT.scala * phoenix-spark/src/main/scala/org/apache/phoenix/spark/DefaultSource.scala * phoenix-spark/src/main/scala/org/apache/phoenix/spark/PhoenixRelation.scala * phoenix-spark/src/main/scala/org/apache/phoenix/spark/PhoenixRDD.scala > 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 > Fix For: 4.8.0 > > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)