[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2020-03-02 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Fix Version/s: 4.0.0
   Resolution: Fixed
   Status: Resolved  (was: Patch Available)

Committed to master. Thanks for the review Slim!

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Fix For: 4.0.0
>
> Attachments: HIVE-22583.0.patch, HIVE-22583.1.patch, 
> HIVE-22583.2.patch, HIVE-22583.3.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2020-02-24 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Attachment: HIVE-22583.3.patch

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Attachments: HIVE-22583.0.patch, HIVE-22583.1.patch, 
> HIVE-22583.2.patch, HIVE-22583.3.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2019-12-09 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Attachment: HIVE-22583.2.patch

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Attachments: HIVE-22583.0.patch, HIVE-22583.1.patch, 
> HIVE-22583.2.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2019-12-07 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Attachment: HIVE-22583.1.patch

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Attachments: HIVE-22583.0.patch, HIVE-22583.1.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2019-12-05 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Attachment: HIVE-22583.0.patch

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Attachments: HIVE-22583.0.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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[jira] [Updated] (HIVE-22583) LLAP cache always misses with non-vectorized serde readers such as OpenCSV

2019-12-05 Thread Jira


 [ 
https://issues.apache.org/jira/browse/HIVE-22583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Ádám Szita updated HIVE-22583:
--
Status: Patch Available  (was: Open)

> LLAP cache always misses with non-vectorized serde readers such as OpenCSV
> --
>
> Key: HIVE-22583
> URL: https://issues.apache.org/jira/browse/HIVE-22583
> Project: Hive
>  Issue Type: Bug
>  Components: llap
>Reporter: Ádám Szita
>Assignee: Ádám Szita
>Priority: Major
> Attachments: HIVE-22583.0.patch
>
>
> Although after the first read LLAP cache stores data of tables that are not 
> using the LazySimple serde, the stored data is then never used in the future 
> subsequent queries, causing a full cache miss and re-read each time.
> Problem is rooted in SerdeEncodedDataReader#cacheFileData is not taking care 
> of creating an entry for the root/struct column of the table. The only cases 
> this is taken care of are when a vectorized reader is used _(e.g. 
> LazySimpleSerde's LazySimpleDeserializeRead)_, where 
> SerdeEncodedDataReader#processAsyncCacheData takes care of this.
> This can be reproduced by either using a custom serde, like OpenCSV or using 
> LazySimpleSerde, but turning off _hive.llap.io.encode.vector.serde.enabled_.



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