[Data] feat: add streaming train test split implementation by martinbomio · Pull Request #56803 · ray-project/ray

martinbomio · 2025-09-22T21:43:27Z

Why are these changes needed?

To allow for a streaming implementation of train/test split

Related issue number

Checks

I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
I've run scripts/format.sh to lint the changes in this PR.
I've included any doc changes needed for https://docs.ray.io/en/master/.
- I've added any new APIs to the API Reference. For example, if I added a
  method in Tune, I've added it in doc/source/tune/api/ under the
  corresponding .rst file.
I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
Testing Strategy
- Unit tests
- Release tests
- This PR is not tested :(

Note

Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests.

API (Dataset):
- Add Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs) for streaming train/test splits.
  - Implements per-batch bucketing via map_batches and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on hash_column.
  - Validates inputs (test_size in (0,1), required hash_column for hash, disallow seed with hash, etc.).
  - Returns two Datasets (train, test).
Tests:
- Add large-scale tests for hash and random splits verifying proportions and disjointness.
- Add param validation tests covering invalid test_size, split_type, hash_column, and seed combinations.

^{Written by Cursor Bugbot for commit 24f678c. This will update automatically on new commits. Configure here.}

richardliaw · 2025-09-22T23:08:01Z

python/ray/data/dataset.py

            )
        return ds_length

+    @ConsumptionAPI


nit, this isn't a consumption API

martinbomio · 2025-09-22T23:28:06Z

python/ray/data/dataset.py

+        Examples with Bernoulli split:
+
+            >>> import ray
+            >>> ds = ray.data.range(8, override_num_blocks=1)


I had to override the num_blocks when the data is very small, otherwise it will create one block per record and the bernulli split will put all records into the same bucket

python/ray/data/dataset.py

goutamvenkat-anyscale · 2025-09-23T00:37:14Z

python/ray/data/dataset.py

        return ds_length

+    @PublicAPI(stability="alpha", pi_group=SMJ_API_GROUP)
+    def streaming_train_test_split(


For my own understanding:
What was the rationale for having a separate API for streaming? Was introducing a streaming bool flag and split_type not sufficient in the existing train_test_split API?

I didn't see any of the other APIs to be extended this way, so thought it would be better to create a new one. I also didn't want to support everything that is supported in the train_test_split implementation, at least not on the first version of it.

I also thought more about this - the other API is public/stable and has a ConsumptionAPI tag + the kwargs are noncomposable, so it made sense to separate it for now

python/ray/data/dataset.py

wingkitlee0 · 2025-09-23T22:23:48Z

python/ray/data/dataset.py

+            # Each Ray task that processes a batch has a unique, stable ID (UUID-like).
+            # We grab the last 16 hex digits of the task_id to create a 32-bit integer.
+            # This ensures *different tasks* don't reuse the same RNG sequence.
+            task_id_str = ray.get_runtime_context().get_task_id()


As I recall, map_batches() may reuse the Ray tasks. So different batches (of the same block) may get the same seed here, which should be easy to test.. In random_sample() we initialize the Generator once per task and store it in a TaskContext.

ah I see, so you are saying that is better to just save the rng and simplify this logic?

yeah that works pretty nicely! thank you!

martinbomio · 2025-09-24T01:59:57Z

@goutamvenkat-anyscale @wingkitlee0 mind taking another look?

wingkitlee0 · 2025-09-24T23:12:24Z

python/ray/data/dataset.py

+    @PublicAPI(stability="alpha", pi_group=SMJ_API_GROUP)
+    def streaming_train_test_split(
+        self,
+        test_proportion: float,


I suggest we use test_size to follow train_test_split API.

wingkitlee0 · 2025-09-24T23:23:18Z

python/ray/data/dataset.py

+        The split type can be either "hash" or "bernoulli".
+        - "hash": The dataset is split into train and test subsets based on the hash of the key column.
+        - "bernoulli": The dataset is split into train and test subsets based on the Bernoulli distribution.


I suggest putting Bernoulli distribution first as it's the default. We could add that this is the simple per-row random selection (in case people didn't use the name Bernoulli, like myself..)

yeah maybe not bernoulli but just random

wingkitlee0 · 2025-09-24T23:37:10Z

python/ray/data/dataset.py

+        test_proportion: float,
+        *,
+        split_type: Literal["hash", "bernoulli"] = "bernoulli",
+        key_column: Optional[str] = None,


So this key_column has nothing to do with stratify (which is in the train_test_split API). Do you see this API can be extended to stratifying split as well? It seems to be do-able with a groupby.

I suggest we call this hash_column or split_column to distinguish from key, which is commonly used in other APIs (groupby, repartition). It's also more obvious to not use it with "bernoulli" mode..

Later if we add stratify arg we do not need to deal with the confusion of stratify vs key_column.

Thoughts?

martinbomio · 2025-09-25T14:53:39Z

@richardliaw @wingkitlee0 I am seeing an error on the build on docs, which look unrelated. Mind taking a quick look

goutamvenkat-anyscale · 2025-09-25T17:08:59Z

python/ray/data/dataset.py

+                ignored for Bernoulli split.
+            seed: The seed to use for the Bernoulli split. Ignored for hash split.


Docs should be updated to say random instead of Bernouilli

python/ray/data/tests/test_split.py

srinathk10 · 2025-09-25T17:57:41Z

python/ray/data/dataset.py

+        if hash_column is not None and split_type == "random":
+            raise ValueError("hash_column is not supported for random split")
+
+        def random_split(batch: pa.Table):


When seed is provided, we would still need to ground this with key column, similar to hash for determinism?

can you expand on this? it doesn't seem necessary to do this and it will require a unique key, which is not always available

Yeah I don't think you need to do that. You can seed to generate indices.

@martinbomio We can use preserve_order flag in ExecutionOptions to guarantee determinism here.

wingkitlee0

Looks great.

wingkitlee0 · 2025-09-26T01:59:27Z

python/ray/data/dataset.py

            )
        return ds_length

+    @PublicAPI(stability="alpha", pi_group=SMJ_API_GROUP)


Typo for api_group.

This should fix the doc and show this API in the shuffling section.

wingkitlee0 · 2025-09-26T02:00:35Z

python/ray/data/dataset.py

+        - "random": The dataset is split into random train and test subsets.
+        - "hash": The dataset is split into train and test subsets based on the hash of the key column.
+
+        Important: Make sure to set the `preserve_order` flag in the `ExecutionOptions` to True


optional. you can add .. note:: or ..tip:: to highlight this. See map_batches.

Signed-off-by: Martin Bomio <[email protected]> add comments and docs for bernoulli_split function Signed-off-by: Martin Bomio <[email protected]> store per task rnd Signed-off-by: Martin Bomio <[email protected]> rename bernulli to random Signed-off-by: Martin Bomio <[email protected]> add note about determinism on random_split Signed-off-by: Martin Bomio <[email protected]> fix example for random split Signed-off-by: Martin Bomio <[email protected]>

Signed-off-by: Martin Bomio <[email protected]>

martinbomio · 2025-09-30T22:40:05Z

@richardliaw build is finally green

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]> Signed-off-by: Douglas Strodtman <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]> Signed-off-by: Seiji Eicher <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]> Signed-off-by: Josh Kodi <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]> Signed-off-by: Aydin Abiar <[email protected]>

## Why are these changes needed? To allow for a streaming implementation of train/test split ## Related issue number Closes ray-project#56780 ## Checks - [x] I've signed off every commit(by using the -s flag, i.e., `git commit -s`) in this PR. - [x] I've run `scripts/format.sh` to lint the changes in this PR. - [x] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've added any new APIs to the API Reference. For example, if I added a method in Tune, I've added it in `doc/source/tune/api/` under the corresponding `.rst` file. - [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [x] Unit tests - [ ] Release tests - [ ] This PR is not tested :(  --- > [!NOTE] > Adds Dataset.streaming_train_test_split for streaming train/test splits (random or hash-based) with validations and tests. > > - **API (Dataset)**: > - Add `Dataset.streaming_train_test_split(test_size, split_type="random"|"hash", hash_column=None, seed=None, **ray_remote_kwargs)` for streaming train/test splits. > - Implements per-batch bucketing via `map_batches` and splits via filtering; supports deterministic random seeding per task and hash-based partitioning on `hash_column`. > - Validates inputs (`test_size` in (0,1), required `hash_column` for hash, disallow `seed` with hash, etc.). > - Returns two `Dataset`s (`train`, `test`). > - **Tests**: > - Add large-scale tests for hash and random splits verifying proportions and disjointness. > - Add param validation tests covering invalid `test_size`, `split_type`, `hash_column`, and `seed` combinations. > > Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 24f678c. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).  --------- Signed-off-by: Martin Bomio <[email protected]> Signed-off-by: Future-Outlier <[email protected]>

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martinbomio added 2 commits September 30, 2025 08:59

add tests for edge cases

e8798e0

Signed-off-by: Martin Bomio <[email protected]>

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		ignored for Bernoulli split.
		seed: The seed to use for the Bernoulli split. Ignored for hash split.

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