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Posted to issues@spark.apache.org by "Gengliang Wang (JIRA)" <ji...@apache.org> on 2019/03/25 14:50:00 UTC
[jira] [Created] (SPARK-27269) File source v2 should validate data
schema only
Gengliang Wang created SPARK-27269:
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Summary: File source v2 should validate data schema only
Key: SPARK-27269
URL: https://issues.apache.org/jira/browse/SPARK-27269
Project: Spark
Issue Type: Task
Components: SQL
Affects Versions: 3.0.0
Reporter: Gengliang Wang
Currently, File source v2 allows each data source to specify the supported data types by implementing the method `supportsDataType` in `FileScan` and `FileWriteBuilder`.
However, in the read path, the validation checks all the data types in `readSchema`, which might contain partition columns. This is actually a regression. E.g. Text data source only supports String data type, while the partition columns can still contain Integer type since partition columns are processed by Spark.
This PR is to:
1. Refactor schema validation and check data schema only
2. Filter the partition columns in data schema if user specified schema provided.
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