loftiest opened a new pull request, #56498:
URL: https://github.com/apache/spark/pull/56498
<!--
Thanks for sending a pull request! Here are some tips for you:
1. If this is your first time, please read our contributor guidelines:
https://spark.apache.org/contributing.html
2. Ensure you have added or run the appropriate tests for your PR:
https://spark.apache.org/developer-tools.html
3. If the PR is unfinished, add '[WIP]' in your PR title, e.g.,
'[WIP][SPARK-XXXX] Your PR title ...'.
4. Be sure to keep the PR description updated to reflect all changes.
5. Please write your PR title to summarize what this PR proposes.
6. If possible, provide a concise example to reproduce the issue for a
faster review.
7. If you want to add a new configuration, please read the guideline first
for naming configurations in
'core/src/main/scala/org/apache/spark/internal/config/ConfigEntry.scala'.
8. If you want to add or modify an error type or message, please read the
guideline first in
'common/utils/src/main/resources/error/README.md'.
-->
### What changes were proposed in this pull request?
<!--
Please clarify what changes you are proposing. The purpose of this section
is to outline the changes and how this PR fixes the issue.
If possible, please consider writing useful notes for better and faster
reviews in your PR. See the examples below.
1. If you refactor some codes with changing classes, showing the class
hierarchy will help reviewers.
2. If you fix some SQL features, you can provide some references of other
DBMSes.
3. If there is design documentation, please add the link.
4. If there is a discussion in the mailing list, please add the link.
-->
This PR extends the `instr` function to accept optional `start` and
`occurrence` parameters, supporting forward and backward search with full
collation awareness. The changes include:
- A new expression `StringInstr4` that handles 3‑ and 4‑argument
invocations, while the existing two‑argument `instr` continues to use
`StringInstr`.
- A new `StringInstrExpressionBuilder` that routes calls based on the number
of arguments: 2 arguments → `StringInstr`, 3 or 4 arguments → `StringInstr4`.
- Extended `UTF8String.indexOf(pattern, start, occurrence)` with both
forward (positive `start`) and backward (negative `start`) search, using
efficient single‑pass UTF‑8 byte scanning.
- Extended `CollationAwareUTF8String.lowercaseIndexOf` and ICU `indexOf` to
support multi‑occurrence search for `UTF8_BINARY_LCASE` and ICU collations.
- Updated `FunctionRegistry` to use the new `StringInstrExpressionBuilder`.
- New overloads in `functions.scala` and corresponding Python APIs
(`pyspark.sql.functions.builtin`) with proper default‑parameter handling.
- New error class `OCCURRENCE` for invalid (≤ 0) occurrence values.
- Comprehensive unit tests covering binary, lowercase, and ICU collations,
forward/backward/overlapping searches, multi‑byte characters, and boundary
conditions.
The behavior when `substr` is empty remains unchanged (returns `start`
position), preserving backward compatibility with the existing two‑argument
`instr`.
### Why are the changes needed?
<!--
Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
2. If you fix a bug, you can clarify why it is a bug.
-->
Currently, Spark's `instr` only supports two arguments, forcing users to
write complex workarounds when they need to start searching from a specific
position or find a particular occurrence. Oracle, Impala, and Db2 all provide a
four‑argument `INSTR` with these capabilities. This PR aligns Spark SQL with
those databases, simplifies user queries, and reduces migration friction.
### Does this PR introduce _any_ user-facing change?
<!--
Note that it means *any* user-facing change including all aspects such as
new features, bug fixes, or other behavior changes. Documentation-only updates
are not considered user-facing changes.
If yes, please clarify the previous behavior and the change this PR proposes
- provide the console output, description and/or an example to show the
behavior difference if possible.
If possible, please also clarify if this is a user-facing change compared to
the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
-->
Yes, but only additive.
- New SQL syntax: `instr(str, substr [, start [, occurrence]])` where
`start` and `occurrence` are optional integers (default 1). Negative `start`
performs backward search.
- New Scala/Python API overloads with corresponding optional parameters.
- Error raised when `occurrence <= 0`.
- All existing two‑argument usage remains completely unaffected.
Documentation for the new parameters is included in the expression
description and will be surfaced in SQL function docs.
### How was this patch tested?
<!--
If tests were added, say they were added here. Please make sure to add some
test cases that check the changes thoroughly including negative and positive
cases if possible.
If it was tested in a way different from regular unit tests, please clarify
how you tested step by step, ideally copy and paste-able, so that other
reviewers can test and check, and descendants can verify in the future.
If tests were not added, please describe why they were not added and/or why
it was difficult to add.
If benchmark tests were added, please run the benchmarks in GitHub Actions
for the consistent environment, and the instructions could accord to:
https://spark.apache.org/developer-tools.html#github-workflow-benchmarks.
-->
- Added extensive unit tests to `StringFunctionsSuite`,
`CollationAwareUTF8StringSuite`, and `UTF8StringSuite` covering:
- Forward and backward search with multiple occurrences
- Overlapping matches (e.g., `'aa'` in `'aaa'`)
- Multi‑byte and supplementary characters
- Collation scenarios: `UTF8_BINARY`, `UTF8_BINARY_LCASE`, `UNICODE_CI`
(including sigma variants, German `ß`, and Turkish `İ` expansion)
- Boundary conditions (`start = 0`, `occurrence <= 0`, `start` out of
range, empty substring)
- Verified error condition formatting in `SparkThrowableSuite`.
- Verified Python API behavior matches SQL execution through existing
PySpark doctests.
### Was this patch authored or co-authored using generative AI tooling?
<!--
If generative AI tooling has been used in the process of authoring this
patch, please include the
phrase: 'Generated-by: ' followed by the name of the tool and its version.
If no, write 'No'.
Please refer to the [ASF Generative Tooling
Guidance](https://www.apache.org/legal/generative-tooling.html) for details.
-->
DeepSeek
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]