QuakeWang opened a new pull request, #351:
URL: https://github.com/apache/paimon-rust/pull/351
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### Purpose
<!-- Linking this pull request to the issue -->
Linked issue: #258
The existing Spark-provisioned full types test covered mixed Parquet, ORC,
and Avro reads, but it only used ordinary non-null values and did not
explicitly assert that the scan plan included all three data file formats. This
left boundary values, top-level nulls, and selected nested null/empty
collection cases under-covered for Java/Spark-generated data files.
This PR adds a focused consistency fixture and read test for those cases.
<!-- What is the purpose of the change -->
### Brief change log
<!-- Please describe the changes made in this pull request and explain how
they address the issue -->
- Add `full_types_boundary_table` to the Spark provisioning script.
- Write Java/Spark-generated Paimon data files in Parquet, ORC, and Avro
formats.
- Cover primitive min/max-style values, decimal boundaries, empty
string/binary, pre-epoch date, timestamp micros, top-level nulls, nested nulls,
and empty collections.
- Add a Rust integration test that:
- verifies the scan plan includes `parquet`, `orc`, and `avro` data
files;
- reads the table through `FileSystemCatalog`;
- checks Arrow arrays and decoded row values.
### Tests
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- `cargo test -p paimon-integration-tests --test read_tables
test_read_full_types_boundary_table -- --nocapture`
- `cargo test -p paimon-integration-tests --test read_tables`
### API and Format
<!-- Does this change affect API or storage format -->
### Documentation
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updates -->
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