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Hive QA commented on HIVE-6999: ------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12642874/HIVE-6999.1.patch {color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 5434 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_show_functions org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_stats_partscan_1_23 org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_root_dir_external_table {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/149/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/149/console Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 3 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12642874 > Add streaming mode to PTFs > -------------------------- > > Key: HIVE-6999 > URL: https://issues.apache.org/jira/browse/HIVE-6999 > Project: Hive > Issue Type: Improvement > Affects Versions: 0.11.0, 0.12.0, 0.13.0 > Reporter: Harish Butani > Assignee: Harish Butani > Attachments: HIVE-6999.1.patch > > > There are a set of use cases where the Table Function can operate on a > Partition row by row or on a subset(window) of rows as it is being streamed > to it. > - Windowing has couple of use cases of this:processing of Rank functions, > processing of Window Aggregations. > - But this is a generic concept: any analysis that operates on an Ordered > partition maybe able to operate in Streaming mode. > This patch introduces streaming mode in PTFs and provides the mechanics to > handle PTF chains that contain both modes of PTFs. > Subsequent patches will introduce Streaming mode for Windowing. -- This message was sent by Atlassian JIRA (v6.2#6252)