Add way to disables statistics on a per column basis
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- Java
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Descrizione
When you write dataset with BINARY columns that can be fairly large (several Mbs) you can often end with an OutOfMemory error where you either have to:
- Throw more RAM
- Increase number of output files
- Play with Block size
Using a fork with increased checks frequency for row group size help but it is not enough. (PR: )
The OutOfMemory error is now caused due to the accumulation of min/max values for those columns for each BlockMetaData.
The "parquet.statistics.truncate.length" configuration is of no help because it is applied during the footer serialization whereas the OOM occurs before that.
I think it would be nice to have, like for dictionary or bloom filter, a way to disable the statistic on a per-column basis.
Could be very useful to lower memory consumption when stats of huge binary column are unnecessary.
**Reporter**: [Anthony Pessy](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=panthony) / @panthony
#### Original Issue Attachments:
- [add_config_to_opt-out_of_a_column's_statistics.patch](https://issues.apache.org/jira/secure/attachment/13011473/add_config_to_opt-out_of_a_column%27s_statistics.patch)
- [NoOpStatistics.java](https://issues.apache.org/jira/secure/attachment/13037932/NoOpStatistics.java)
**Note**: *This issue was originally created as [PARQUET-1911](https://issues.apache.org/jira/browse/PARQUET-1911). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*
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Direzione di ricerca
Inizia leggendo i file allegati NoOpStatistics.java e add_config_to_opt-out_of_a_column's_statistics.patch, quindi traccia il modo in cui le statistiche si accumulano in BlockMetaData prima della serializzazione del footer. Il lavoro è completo quando viene fornito un modo per disabilitare le statistiche per colonna, così che le colonne BINARY di grandi dimensioni non accumulino più valori min/max causando errori OutOfMemory.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- java
- Ambito
- data-engineering
- Tipo di issue
- Funzionalità
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Stato di attività
- Ferma
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 35/100