[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.0993.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch, HIVE-12369.0993.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: (was: HIVE-12369.0993.patch)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch, HIVE-12369.0993.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.0993.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch, HIVE-12369.0993.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch, HIVE-12369.0993.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.0992.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch, HIVE-12369.0992.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.0991.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch,
> HIVE-12369.0991.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.099.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch, HIVE-12369.099.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Description:
Implement Native Vector GroupBy using fast hash table technology developed for
Native Vector MapJoin, etc.
Patch is currently limited to a single COUNT aggregation. Or, no aggregation
also known as duplicate reduction.
Here are examples of new kinds of classes introduces that stored the count in
the slot table and don't allocate hash elements:
{noformat}
COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
{noformat}
And the duplicate reduction operator a single key. Example:
{noformat}
VectorGroupByHashLongKeyDuplicateReductionOperator
{noformat}
was:
Implement Native Vector GroupBy using fast hash table technology developed for
Native Vector MapJoin, etc.
Patch is currently limited to a single key with a single COUNT aggregation.
Or, a single key and no aggregation also known as duplicate reduction.
3 new kinds of classes introduces that stored the count in the slot table and
don't allocate hash elements. Example:
{noformat}
COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
{noformat}
And the duplicate reduction operator a single key. Example:
{noformat}
VectorGroupByHashLongKeyDuplicateReductionOperator
{noformat}
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single COUNT aggregation. Or, no aggregation
> also known as duplicate reduction.
> Here are examples of new kinds of classes introduces that stored the count in
> the slot table and don't allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.098.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch, HIVE-12369.098.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single key with a single COUNT aggregation.
> Or, a single key and no aggregation also known as duplicate reduction.
> 3 new kinds of classes introduces that stored the count in the slot table and
> don't allocate hash elements. Example:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single key with a single COUNT aggregation.
> Or, a single key and no aggregation also known as duplicate reduction.
> 3 new kinds of classes introduces that stored the count in the slot table and
> don't allocate hash elements. Example:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.097.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch,
> HIVE-12369.097.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single key with a single COUNT aggregation.
> Or, a single key and no aggregation also known as duplicate reduction.
> 3 new kinds of classes introduces that stored the count in the slot table and
> don't allocate hash elements. Example:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single key with a single COUNT aggregation.
> Or, a single key and no aggregation also known as duplicate reduction.
> 3 new kinds of classes introduces that stored the count in the slot table and
> don't allocate hash elements. Example:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Description:
Implement Native Vector GroupBy using fast hash table technology developed for
Native Vector MapJoin, etc.
Patch is currently limited to a single key with a single COUNT aggregation.
Or, a single key and no aggregation also known as duplicate reduction.
3 new kinds of classes introduces that stored the count in the slot table and
don't allocate hash elements. Example:
{noformat}
COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
{noformat}
And the duplicate reduction operator a single key. Example:
{noformat}
VectorGroupByHashLongKeyDuplicateReductionOperator
{noformat}
was:
Implement Native Vector GroupBy using fast hash table technology developed for
Native Vector MapJoin, etc.
Patch is currently limited to a single Long key with a single COUNT
aggregation. Or, a single Long key and no aggregation also known as duplicate
reduction.
3 new classes introduces that stored the count in the slot table and don't
allocate hash elements:
{noformat}
COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
COUNT(*) VectorGroupByHashLongKeyCountStarOperator
{noformat}
And the duplicate reduction operator a single Long key:
{noformat}
VectorGroupByHashLongKeyDuplicateReductionOperator
{noformat}
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single key with a single COUNT aggregation.
> Or, a single key and no aggregation also known as duplicate reduction.
> 3 new kinds of classes introduces that stored the count in the slot table and
> don't allocate hash elements. Example:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeySingleCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeySingleCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeySingleCountStarOperator
> {noformat}
> And the duplicate reduction operator a single key. Example:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.096.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: (was: HIVE-12369.096.patch)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Attachment: HIVE-12369.096.patch
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: Patch Available (was: In Progress)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch, HIVE-12369.096.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Status: In Progress (was: Patch Available)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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[jira] [Updated] (HIVE-12369) Native Vector GroupBy (Part 1)
[
https://issues.apache.org/jira/browse/HIVE-12369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Matt McCline updated HIVE-12369:
Summary: Native Vector GroupBy (Part 1) (was: Native Vector GroupBy)
> Native Vector GroupBy (Part 1)
> --
>
> Key: HIVE-12369
> URL: https://issues.apache.org/jira/browse/HIVE-12369
> Project: Hive
> Issue Type: Bug
> Components: Hive
>Reporter: Matt McCline
>Assignee: Matt McCline
>Priority: Critical
> Attachments: HIVE-12369.01.patch, HIVE-12369.02.patch,
> HIVE-12369.05.patch, HIVE-12369.06.patch, HIVE-12369.091.patch,
> HIVE-12369.094.patch, HIVE-12369.095.patch
>
>
> Implement Native Vector GroupBy using fast hash table technology developed
> for Native Vector MapJoin, etc.
> Patch is currently limited to a single Long key with a single COUNT
> aggregation. Or, a single Long key and no aggregation also known as
> duplicate reduction.
> 3 new classes introduces that stored the count in the slot table and don't
> allocate hash elements:
> {noformat}
> COUNT(column) VectorGroupByHashLongKeyCountColumnOperator
> COUNT(key) VectorGroupByHashLongKeyCountKeyOperator
> COUNT(*) VectorGroupByHashLongKeyCountStarOperator
> {noformat}
> And the duplicate reduction operator a single Long key:
> {noformat}
> VectorGroupByHashLongKeyDuplicateReductionOperator
> {noformat}
--
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