[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jesus Camacho Rodriguez updated HIVE-22476:
---
Fix Version/s: 4.0.0
Resolution: Fixed
Status: Resolved (was: Patch Available)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
> Attachments: HIVE-22476.10.patch, HIVE-22476.2.patch,
> HIVE-22476.3.patch, HIVE-22476.5.patch, HIVE-22476.6.patch,
> HIVE-22476.7.patch, HIVE-22476.7.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.9.patch
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated HIVE-22476:
--
Labels: pull-request-available (was: )
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-22476.10.patch, HIVE-22476.2.patch,
> HIVE-22476.3.patch, HIVE-22476.5.patch, HIVE-22476.6.patch,
> HIVE-22476.7.patch, HIVE-22476.7.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.9.patch
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ashutosh Chauhan updated HIVE-22476:
Status: Open (was: Patch Available)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.10.patch, HIVE-22476.2.patch,
> HIVE-22476.3.patch, HIVE-22476.5.patch, HIVE-22476.6.patch,
> HIVE-22476.7.patch, HIVE-22476.7.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.9.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ashutosh Chauhan updated HIVE-22476:
Attachment: HIVE-22476.10.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.10.patch, HIVE-22476.2.patch,
> HIVE-22476.3.patch, HIVE-22476.5.patch, HIVE-22476.6.patch,
> HIVE-22476.7.patch, HIVE-22476.7.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.9.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ashutosh Chauhan updated HIVE-22476:
Status: Patch Available (was: Open)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.10.patch, HIVE-22476.2.patch,
> HIVE-22476.3.patch, HIVE-22476.5.patch, HIVE-22476.6.patch,
> HIVE-22476.7.patch, HIVE-22476.7.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.9.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.9.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch, HIVE-22476.8.patch,
> HIVE-22476.8.patch, HIVE-22476.9.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jesus Camacho Rodriguez updated HIVE-22476:
---
Attachment: HIVE-22476.8.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Jesus Camacho Rodriguez
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch, HIVE-22476.8.patch, HIVE-22476.8.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Open (was: Patch Available)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch, HIVE-22476.8.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Patch Available (was: Open)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch, HIVE-22476.8.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.8.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch, HIVE-22476.8.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.8.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch,
> HIVE-22476.7.patch, HIVE-22476.8.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.7.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch, HIVE-22476.7.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Patch Available (was: Open)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.7.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: (was: HIVE-22476.7.patch)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Open (was: Patch Available)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.7.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch, HIVE-22476.7.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Patch Available (was: Open)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.6.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.6.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: (was: HIVE-22476.patch)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Open (was: Patch Available)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: (was: HIVE-22476.4.patch)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
--
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.5.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.5.patch, HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.4.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch,
> HIVE-22476.4.patch, HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.3.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.3.patch, HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.2.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.2.patch, HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Attachment: HIVE-22476.patch
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
> Attachments: HIVE-22476.patch
>
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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[jira] [Updated] (HIVE-22476) Hive datediff function provided inconsistent results when hive.fetch.task.conversion is set to none
[
https://issues.apache.org/jira/browse/HIVE-22476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Slim Bouguerra updated HIVE-22476:
--
Status: Patch Available (was: Open)
> Hive datediff function provided inconsistent results when
> hive.fetch.task.conversion is set to none
> ---
>
> Key: HIVE-22476
> URL: https://issues.apache.org/jira/browse/HIVE-22476
> Project: Hive
> Issue Type: Bug
>Reporter: Slim Bouguerra
>Assignee: Slim Bouguerra
>Priority: Major
>
> The actual issue stems to the different date parser used by various part of
> the engine.
> Fetch task uses udfdatediff via {code}
> org.apache.hadoop.hive.ql.udf.generic.GenericUDFToDate{code} while the
> vectorized llap execution uses {code}VectorUDFDateDiffScalarCol{code}.
> This fix is meant to be not very intrusive and will add more support to the
> GenericUDFToDate by enhancing the parser.
> For the longer term will be better to use one parser for all the operators.
> Thanks [~Rajkumar Singh] for the repro example
> {code}
> create external table testdatediff(datetimecol string) stored as orc;
> insert into testdatediff values ('2019-09-09T10:45:49+02:00'),('2019-07-24');
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> set hive.ferch.task.conversion=none;
> select datetimecol from testdatediff where datediff(cast(current_timestamp as
> string), datetimecol)<183;
> {code}
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