You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@parquet.apache.org by "Anthony Pessy (Jira)" <ji...@apache.org> on 2020/09/08 13:00:00 UTC
[jira] [Updated] (PARQUET-1911) Add way to disables statistics on a
per column basis
[ https://issues.apache.org/jira/browse/PARQUET-1911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Anthony Pessy updated PARQUET-1911:
-----------------------------------
Description:
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: [https://github.com/apache/parquet-mr/pull/470])
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.
was:
When you have a 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: [https://github.com/apache/parquet-mr/pull/470])
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.
> Add way to disables statistics on a per column basis
> ----------------------------------------------------
>
> Key: PARQUET-1911
> URL: https://issues.apache.org/jira/browse/PARQUET-1911
> Project: Parquet
> Issue Type: New Feature
> Components: parquet-mr
> Reporter: Anthony Pessy
> Priority: Major
>
> 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: [https://github.com/apache/parquet-mr/pull/470])
>
>
> 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.
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)