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https://issues.apache.org/jira/browse/SPARK-27698?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-27698.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 24597
[https://github.com/apache/spark/pull/24597]
> Add new method for getting pushed down filters in Parquet file reader
> ---------------------------------------------------------------------
>
> Key: SPARK-27698
> URL: https://issues.apache.org/jira/browse/SPARK-27698
> Project: Spark
> Issue Type: Task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Fix For: 3.0.0
>
>
> To return accurate pushed filters in Parquet file
> scan(https://github.com/apache/spark/pull/24327#pullrequestreview-234775673),
> we can process the original data source filters in the following way:
> 1. For "And" operators, split the conjunctive predicates and try converting
> each of them. After that
> 1.1 if partially predicate pushed down is allowed, return convertible
> results;
> 1.2 otherwise, return the whole predicate if convertible, or empty result if
> not convertible.
> 2. For other operators, they are not able to be partially pushed down.
> 2.1 if the entire predicate is convertible, return itself
> 2.2 otherwise, return an empty result.
> This PR also contains code refactoring. Currently `ParquetFilters.
> createFilter ` accepts parameter `schema: MessageType` and create field
> mapping for every input filter. We can make it a class member and avoid
> creating the `nameToParquetField` mapping for every input filter.
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