GH-35492 [MATLAB]: Add arrow.array.Float32Array MATLAB Class #35495

sgilmore10 · 2023-05-08T20:21:43Z

Rationale for this change

Continuing to build the MATLAB interface to Arrow for numeric types. We're trying to keep the scope of these pull requests small to make them easier to review.

What changes are included in this PR?

Added arrow.array.Float32Array MATLAB class
Added new test class tFloat32Array.m

Are these changes tested?

Yes, added a new test class called tFloat32Array.m.
Qualified locally on macOS.

Are there any user-facing changes?

Yes, users can now create a array of float32 values.

Future Directions

Continue building out support for numeric arrays.
Add shared validation functions.
Make a shared test class for Numeric Arrays.

Closes: [MATLAB] Add arrow.array.Float32Array MATLAB Class #35492

github-actions · 2023-05-08T20:22:06Z

Closes: [MATLAB] Add arrow.array.Float32Array MATLAB Class #35492

Co-authored-by: Kevin Gurney <kgurney@mathworks.com>

sgilmore10 · 2023-05-12T13:16:37Z

Marking this as ready for review.

sgilmore10 · 2023-05-12T14:10:17Z

I'm not sure why there was a linker error in the macOS build. The MATLAB action passed in the mathworks/arrow fork. I noticed a couple of the other MATLAB runs in mathworks/arrow have failed with the same linker error, but it the issue appears to be sporadic. I'll try re-running the action to see if it the same issue appears again.

kou

+1

I think that we can merge this after we fix the CI problem.

matlab/test/arrow/array/tFloat32Array.m

Co-authored-by: Sutou Kouhei <kou@cozmixng.org>

sgilmore10 · 2023-05-15T15:13:36Z

Hi @kou,

The CI passed on the latest try. It looks like the CI sporadic and not related to this pull request because we've seen a couple of times now.

kou · 2023-05-15T15:16:03Z

OK.
I'll merge this.

sgilmore10 · 2023-05-15T15:18:17Z

Thanks for merging this @kou! We're going to look into this failure in the background.

sgilmore10 · 2023-05-15T15:28:27Z

We've captured this sporadic build failure as an issue in mathworks/libmexclass.

…pache#35495) ### Rationale for this change Continuing to build the MATLAB interface to Arrow for numeric types. We're trying to keep the scope of these pull requests small to make them easier to review. ### What changes are included in this PR? 1. Added `arrow.array.Float32Array` MATLAB class 2. Added new test class `tFloat32Array.m` ### Are these changes tested? 1. Yes, added a new test class called `tFloat32Array.m`. 2. Qualified locally on macOS. ### Are there any user-facing changes? Yes, users can now create a array of float32 values. ### Future Directions 1. Continue building out support for numeric arrays. 2. Add shared validation functions. 3. Make a shared test class for Numeric Arrays. * Closes: apache#35492 Lead-authored-by: Sarah Gilmore <sgilmore@mathworks.com> Co-authored-by: sgilmore10 <74676073+sgilmore10@users.noreply.github.com> Co-authored-by: Sutou Kouhei <kou@cozmixng.org> Co-authored-by: Kevin Gurney <kgurney@mathworks.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>

ursabot · 2023-05-16T00:46:19Z

Benchmark runs are scheduled for baseline = 5ebd4c6 and contender = 660cb6e. 660cb6e is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Finished ⬇️0.0% ⬆️0.0%] ec2-t3-xlarge-us-east-2
[Failed ⬇️0.55% ⬆️0.0%] test-mac-arm
[Finished ⬇️0.76% ⬆️0.0%] ursa-i9-9960x
[Finished ⬇️0.54% ⬆️0.0%] ursa-thinkcentre-m75q
Buildkite builds:
[Finished] 660cb6ef ec2-t3-xlarge-us-east-2
[Failed] 660cb6ef test-mac-arm
[Finished] 660cb6ef ursa-i9-9960x
[Finished] 660cb6ef ursa-thinkcentre-m75q
[Finished] 5ebd4c61 ec2-t3-xlarge-us-east-2
[Failed] 5ebd4c61 test-mac-arm
[Finished] 5ebd4c61 ursa-i9-9960x
[Finished] 5ebd4c61 ursa-thinkcentre-m75q
Supported benchmarks:
ec2-t3-xlarge-us-east-2: Supported benchmark langs: Python, R. Runs only benchmarks with cloud = True
test-mac-arm: Supported benchmark langs: C++, Python, R
ursa-i9-9960x: Supported benchmark langs: Python, R, JavaScript
ursa-thinkcentre-m75q: Supported benchmark langs: C++, Java

ursabot · 2023-05-16T00:48:36Z

['Python', 'R'] benchmarks have high level of regressions.
ursa-i9-9960x

…nt8Array`, `UInt16Array`, `UInt32Array`, `UInt64Array`) (#35562) ### Rationale for this change Followup to #35495 in which we added the MATLAB class `Float32Array`. This pull request adds support for round tripping signed integer between `arrow.array.<Type>Array` classes and associated MATLAB types (e.g. `uint8`, `uint16`, `uint32`, `uint64`). | Arrow Array Type | MATLAB Type | | ----------------- | -------------- | | `UInt8Array` | `uint8`| | `UInt16Array` | `uint16`| | `UInt32Array` | `uint32`| | `UInt64Array` | `uint64`| Example of round-tripping `uint8` data: ```matlab >> uint8MATLABArray = uint8([1 2 3]') uint8MATLABArray = 3×1 uint8 column vector 1 2 3 >> uint8ArrowArray = arrow.array.UInt8Array(uint8MATLABArray) uint8ArrowArray = [ 1, 2, 3 ] >> uint8MATLABArrayRoundTripped = toMATLAB(uint8ArrowArray) uint8MATLABArrayRoundTripped = 3×1 uint8 column vector 1 2 3 >> all(uint8MATLABArray == uint8MATLABArrayRoundTripped) ans = logical 1 ``` ### What changes are included in this PR? Added four new unsigned integer type `arrow.array.<Array>` concrete subclasses. 1. `arrow.array.UInt8Array` 2. `arrow.array.UInt16Array` 3. `arrow.array.UInt32Array` 4. `arrow.array.UInt64Array` ### Are these changes tested? Yes, we added the following four test classes: 1. `tUInt8Array.m` 2. `tUInt16Array.m` 3. `tUInt32Array.m` 4. `tUInt64Array.m` ### Are there any user-facing changes? Yes. This change introduces 4 new publicly documented classes: 1. `arrow.array.UInt8Array` 2. `arrow.array.UInt16Array` 3. `arrow.array.UInt32Array` 4. `arrow.array.UInt64Array` ### Future Directions 1. Add support for null values (i.e. validity bitmap) for the unsigned integer array types. ### NOTES 1. Thank you to @ kevingurney for his help with this PR! * Closes: #35557 Lead-authored-by: Sarah Gilmore <sgilmore@mathworks.com> Co-authored-by: Kevin Gurney <kgurney@mathworks.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>

…8Array`, `Int16Array`, `Int32Array`, `Int64Array`) (#35561) ### Rationale for this change Followup to #35495 in which we added the MATLAB class `Float32Array`. This pull request adds support for round tripping signed integer between `arrow.array.<Array>` classes and associated MATLAB types (e.g. `int8`, `int16`, `int32`, `int64`). | Arrow Array Type | MATLAB Type | | ------------------------- | -------------------- | | `Int8Array` | `int8` | | `Int16Array` | `int16` | | `Int32Array` | `int32` | | `Int64Array` | `int64` | Example of round-tripping `int8` data: ```matlab >> int8MatlabArray = int8([1, 2, 3]') int8MatlabArray = 3x1 int8 column vector 1 2 3 >> int8ArrowArray = arrow.array.Int8Array(int8MatlabArray) int8ArrowArray = [ 1, 2, 3 ] >> int8MatlabArrayRoundTripped = toMATLAB(int8ArrowArray) int8MatlabArrayRoundTripped = 3x1 int8 column vector 1 2 3 >> all(int8MatlabArray == int8MatlabArrayRoundTripped) ans = logical 1 ``` ### What changes are included in this PR? Added four new signed integer type `arrow.array.<Array>` concrete subclasses. 1. `arrow.array.Int8Array` 3. `arrow.array.Int16Array` 4. `arrow.array.Int32Array` 5. `arrow.array.Int64Array` ### Are these changes tested? Yes, we added the following four test classes: 1. `tInt8Array.m` 2. `tInt16Array.m` 3. `tInt32Array.m` 4. `tInt64Array.m` ### Are there any user-facing changes? Yes. This change introduces 4 new publicly documented classes: 1. `arrow.array.Int8Array` 3. `arrow.array.Int16Array` 4. `arrow.array.Int32Array` 5. `arrow.array.Int64Array` ### Future Directions 1. Add support for null values (i.e. validity bitmap) for the signed integer array types. ### Notes !. Thank you to @ sgilmore10 for her help with this pull request! * Closes: #35558 Lead-authored-by: Kevin Gurney <kgurney@mathworks.com> Co-authored-by: Sarah Gilmore <sgilmore@mathworks.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>

github-actions bot added Component: MATLAB awaiting review Awaiting review labels May 8, 2023

kevingurney mentioned this pull request May 11, 2023

GH-35550: [MATLAB] Add public toMATLAB method to arrow.array.Array for converting to MATLAB types #35551

Merged

This was referenced May 11, 2023

[MATLAB] Add unsigned integer array MATLAB classes (i.e. UInt8Array, UInt16Array, UInt32Array, UInt64Array) #35557

Closed

[MATLAB] Add signed integer array MATLAB classes (i.e. Int8Array, Int16Array, Int32Array, Int64Array) #35558

Closed

kevingurney mentioned this pull request May 11, 2023

GH-35558: [MATLAB] Add signed integer array MATLAB classes (i.e. Int8Array, Int16Array, Int32Array, Int64Array) #35561

Merged

sgilmore10 mentioned this pull request May 11, 2023

GH-35557 [MATLAB] Add unsigned integer array MATLAB classes (i.e. UInt8Array, UInt16Array, UInt32Array, UInt64Array) #35562

Merged

Add arrow.array.Float32Array MATLAB class

13a95db

Co-authored-by: Kevin Gurney <kgurney@mathworks.com>

sgilmore10 force-pushed the GH-35492 branch from 5ecf00a to 13a95db Compare May 12, 2023 13:15

sgilmore10 marked this pull request as ready for review May 12, 2023 13:16

sgilmore10 requested a review from assignUser as a code owner May 12, 2023 13:16

1. Fix typo in tFloat32Array.m

1b153ba

kou approved these changes May 15, 2023

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github-actions bot added awaiting merge Awaiting merge and removed awaiting review Awaiting review labels May 15, 2023

sgilmore10 and others added 2 commits May 15, 2023 09:01

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Co-authored-by: Sutou Kouhei <kou@cozmixng.org>

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Co-authored-by: Sutou Kouhei <kou@cozmixng.org>

kou merged commit 660cb6e into apache:main May 15, 2023

sgilmore10 deleted the GH-35492 branch June 27, 2023 23:53

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