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apache/datafusion/c699361cb4ae13276ca4bd936d3ed4d3cffe78e6
commit
c699361cb4ae13276ca4bd936d3ed4d3cffe78e6
[log]
author
Neil Conway <neil.conway@gmail.com>
Wed Feb 18 20:48:38 2026 -0500
committer
GitHub <noreply@github.com>
Thu Feb 19 01:48:38 2026 +0000
tree
627723fe145b325cc25f9d4c9f7f0994655abe80
parent
08c09db5e572b2f3510e3291301d3e66b9890bac [diff]
fix: Handle Utf8View and LargeUtf8 separators in concat_ws (#20361)

## Which issue does this PR close?

- Closes #20360 

## Rationale for this change

concat_ws only handled Utf8 separators (despite its signature claiming
otherwise). Attempting to pass a Utf8View or LargeUtf8 separator would
result in a panic or internal error.

## What changes are included in this PR?

* Add SLT test case for array Utf8View separator
* Add unit test for scalar Utf8View separator
* Fix behavior: add support for LargeUtf8 and Utf8View separators, both
array and scalar
* Other minor code cleanups and improvements

## Are these changes tested?

Yes. Added new test cases.

Note that we can't easily test the scalar separator case via SQL,
because `simplify_concat_ws` casts constant/scalar separators to Utf8.
That behavior is dubious and IMO should be changed, but I'll tackle that
in a subsequent PR.

## Are there any user-facing changes?

No, aside from a previously failing query now succeeding.
3 files changed
tree: 627723fe145b325cc25f9d4c9f7f0994655abe80
  1. .devcontainer/
  2. .github/
  3. benchmarks/
  4. ci/
  5. datafusion/
  6. datafusion-cli/
  7. datafusion-examples/
  8. dev/
  9. docs/
  10. python/
  11. test-utils/
  12. datafusion-testing
  13. parquet-testing
  14. testing
  15. .asf.yaml
  16. .dockerignore
  17. .editorconfig
  18. .gitattributes
  19. .gitignore
  20. .gitmodules
  21. Cargo.lock
  22. Cargo.toml
  23. CHANGELOG.md
  24. clippy.toml
  25. CODE_OF_CONDUCT.md
  26. CONTRIBUTING.md
  27. doap.rdf
  28. header
  29. LICENSE.txt
  30. licenserc.toml
  31. NOTICE.txt
  32. pre-commit.sh
  33. README.md
  34. rust-toolchain.toml
  35. rustfmt.toml
  36. taplo.toml
  37. typos.toml
README.md

Apache DataFusion

Crates.io Apache licensed Build Status Commit Activity Open Issues Pending PRs Discord chat Linkedin Crates.io MSRV

Website | API Docs | Chat

DataFusion is an extensible query engine written in Rust that uses Apache Arrow as its in-memory format.

This crate provides libraries and binaries for developers building fast and feature-rich database and analytic systems, customized for particular workloads. See use cases for examples. The following related subprojects target end users:

“Out of the box,” DataFusion offers SQL and DataFrame APIs, excellent performance, built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.

DataFusion features a full query planner, a columnar, streaming, multi-threaded, vectorized execution engine, and partitioned data sources. You can customize DataFusion at almost all points including additional data sources, query languages, functions, custom operators and more. See the Architecture section for more details.

Here are links to important resources:

What can you do with this crate?

DataFusion is great for building projects such as domain-specific query engines, new database platforms and data pipelines, query languages and more. It lets you start quickly from a fully working engine, and then customize those features specific to your needs. See the list of known users.

Contributing to DataFusion

Please see the contributor guide and communication pages for more information.

Crate features

This crate has several features which can be specified in your Cargo.toml.

Default features:

  • nested_expressions: functions for working with nested types such as array_to_string
  • compression: reading files compressed with xz2, bzip2, flate2, and zstd
  • crypto_expressions: cryptographic functions such as md5 and sha256
  • datetime_expressions: date and time functions such as to_timestamp
  • encoding_expressions: encode and decode functions
  • parquet: support for reading the Apache Parquet format
  • sql: support for SQL parsing and planning
  • regex_expressions: regular expression functions, such as regexp_match
  • unicode_expressions: include Unicode-aware functions such as character_length
  • unparser: enables support to reverse LogicalPlans back into SQL
  • recursive_protection: uses recursive for stack overflow protection.

Optional features:

  • avro: support for reading the Apache Avro format
  • backtrace: include backtrace information in error messages
  • parquet_encryption: support for using Parquet Modular Encryption
  • serde: enable arrow-schema's serde feature

DataFusion API Evolution and Deprecation Guidelines

Public methods in Apache DataFusion evolve over time: while we try to maintain a stable API, we also improve the API over time. As a result, we typically deprecate methods before removing them, according to the deprecation guidelines.

Dependencies and Cargo.lock

Following the guidance on committing Cargo.lock files, this project commits its Cargo.lock file.

CI uses the committed Cargo.lock file, and dependencies are updated regularly using Dependabot PRs.