hubgeter opened a new pull request, #69010:
URL: https://github.com/apache/doris/pull/69010
### What problem does this PR solve?
Issue Number: close #29383
Related PR: N/A
Problem Summary:
A bare `INSERT OVERWRITE TABLE t` (no PARTITION clause) on an Iceberg table
always used Iceberg's `ReplacePartitions` (dynamic overwrite).
`ReplacePartitions` only drops files whose own `(specId, partition)` tuple
matches the written files, so after a partition-spec evolution data written
under an older spec is left in place and stale rows survive the overwrite.
This PR adds the session variable `iceberg_partition_overwrite_mode`:
- `dynamic` (default): current behavior, identical to Spark's
`spark.sql.sources.partitionOverwriteMode=dynamic`;
- `static`: the whole table is overwritten via
`OverwriteFiles.overwriteByRowFilter(alwaysTrue())`, identical to Spark's
default `static` mode, so data written under an older partition spec is removed
as well.
The default is `dynamic`, so existing behavior is unchanged.
### Release note
Add a new session variable `iceberg_partition_overwrite_mode` (default
`dynamic`) controlling the scope of `INSERT OVERWRITE` without a `PARTITION`
clause on Iceberg tables. `static` overwrites the whole table (matching Spark's
default); `dynamic` keeps the previous behavior.
### Check List (For Author)
- Test
- [x] Regression test
- [x] Unit Test
- [ ] Manual test (add detailed scripts or steps below)
- [ ] No need to test or manual test. Explain why:
- [ ] This is a refactor/code format and no logic has been changed.
- [ ] Previous test can cover this change.
- [ ] No code files have been changed.
- [ ] Other reason
- Behavior changed:
- [x] No.
- [ ] Yes.
- Does this need documentation?
- [ ] No.
- [x] Yes.
### Check List (For Reviewer who merge this PR)
- [ ] Confirm the release note
- [ ] Confirm test cases
- [ ] Confirm document
- [ ] Add branch pick label
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