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Posted to reviews@spark.apache.org by "a1noh (via GitHub)" <gi...@apache.org> on 2025/07/10 19:03:30 UTC
[PR] [SQL] Clarify schema mismatch types in insertInto error [spark]
a1noh opened a new pull request, #51446:
URL: https://github.com/apache/spark/pull/51446
### What changes were proposed in this pull request?
This PR improves the error reporting behavior in `INSERT INTO` operations when there is a schema mismatch between a DataFrame and the target table. Specifically, it makes the error message more accurate when Spark attempts to insert data and incorrectly reports the schema of the input DataFrame due to type mismatches.
Previously, the exception message did not clearly reflect the actual types involved, sometimes implying that the DataFrame column had a different type than it truly did. This patch ensures the reported types are correct and provides a clearer message, including:
- The name of the column
- The type in the DataFrame
- The type in the target table
- Whether the columns were matched by position
### Why are the changes needed?
This change addresses a confusing behavior during schema mismatches in insert operations. It improves the developer experience by giving precise and helpful diagnostics. This is especially important for debugging complex ETL pipelines or schema evolution issues.
Without this fix, developers may misinterpret the root cause of an error due to incorrect or vague type information in the exception message.
### Does this PR introduce _any_ user-facing change?
Yes.
This PR changes the error message users see when they attempt to insert a DataFrame into a table with mismatched schemas. While the functionality remains the same, the error message is more descriptive and accurate.
**Before:**
val df = Seq((2025, "Monaco GP")).toDF("race_year", "race_name") // race_year: INT
df.write.insertInto("target_table") // target_table expects race_year as STRING
Cannot safely cast 'race_year': string to int
**After:**
InsertInto schema mismatch at column 'race_year':
- DataFrame column has type int
- Target table column 'race_year' has type string
- Columns matched by position
### How was this patch tested?
- Manually verified with a DataFrame insert that causes a schema mismatch between `IntegerType` and `StringType`, which previously misreported the input type.
- Ensured existing test suites (`sql/catalyst`, `sql/core`) still pass.
- Ran:
```bash
./build/sbt "sql/testOnly *InsertSuite"
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Re: [PR] [WIP][SQL] Clarify schema mismatch types in insertInto error [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #51446:
URL: https://github.com/apache/spark/pull/51446#issuecomment-3629640272
We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!
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Re: [PR] [WIP][SQL] Clarify schema mismatch types in insertInto error [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed pull request #51446: [WIP][SQL] Clarify schema mismatch types in insertInto error
URL: https://github.com/apache/spark/pull/51446
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