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Hive QA commented on HIVE-4821: ------------------------------- {color:green}Overall{color}: +1 all checks pass Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12607851/HIVE-4821.2.patch {color:green}SUCCESS:{color} +1 4402 tests passed Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/1095/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/1095/console Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase {noformat} This message is automatically generated. > Implement vectorized type casting for all types > ----------------------------------------------- > > Key: HIVE-4821 > URL: https://issues.apache.org/jira/browse/HIVE-4821 > Project: Hive > Issue Type: Sub-task > Affects Versions: 0.13.0 > Reporter: Eric Hanson > Assignee: Eric Hanson > Attachments: HIVE-4821.2.patch > > > Implement vectorized support for casting from any type to any type. > From the documentation: > cast(expr as <type>): Converts the results of the expression expr to <type> > e.g. cast('1' as BIGINT) will convert the string '1' to it integral > representation. A null is returned if the conversion does not succeed > The current supported internal types are: > LONG > DOUBLE > STRING > TIMESTAMP > Before implementation, determine what are the semantics of explicit casting > to types less general than the internal types. E.g. what if you cast DOUBLE > to TINYINT? Can we just cast internally to LONG and let the output process > cast to TINYINT? > This JIRA includes all work to make casting operate end-to-end in a SQL query > in vectorized mode, including updates to VectorizationContext. -- This message was sent by Atlassian JIRA (v6.1#6144)