Apply obstore as storage backend #3033
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machichima
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Changelist by BitoThis pull request implements the following key changes.
|
| driver_pod=self.driver_pod, | ||
| executor_pod=self.executor_pod, |
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Consider adding driver_pod and executor_pod to the with_overrides method to maintain consistency with the constructor parameters.
Code suggestion
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@@ -56,6 +56,8 @@ def with_overrides(
new_spark_conf: Optional[Dict[str, str]] = None,
new_hadoop_conf: Optional[Dict[str, str]] = None,
new_databricks_conf: Optional[Dict[str, Dict]] = None,
+ driver_pod: Optional[K8sPod] = None,
+ executor_pod: Optional[K8sPod] = None,
) -> "SparkJob":
if not new_spark_conf:
new_spark_conf = self.spark_conf
@@ -65,6 +67,12 @@ def with_overrides(
if not new_databricks_conf:
new_databricks_conf = self.databricks_conf
+ if not driver_pod:
+ driver_pod = self.driver_pod
+
+ if not executor_pod:
+ executor_pod = self.executor_pod
+
return SparkJob(
spark_type=self.spark_type,
application_file=self.application_file,
Code Review Run #39883a
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| driverPod=self.driver_pod.to_flyte_idl() if self.driver_pod else None, | ||
| executorPod=self.executor_pod.to_flyte_idl() if self.executor_pod else None, |
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Consider adding null checks for to_flyte_idl() calls on driver_pod and executor_pod to avoid potential NoneType errors.
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| driverPod=self.driver_pod.to_flyte_idl() if self.driver_pod else None, | |
| executorPod=self.executor_pod.to_flyte_idl() if self.executor_pod else None, | |
| driverPod=self.driver_pod.to_flyte_idl() if self.driver_pod and hasattr(self.driver_pod, 'to_flyte_idl') else None, | |
| executorPod=self.executor_pod.to_flyte_idl() if self.executor_pod and hasattr(self.executor_pod, 'to_flyte_idl') else None, |
Code Review Run #39883a
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flytekit/core/data_persistence.py
Outdated
| if "file" in path: | ||
| # no bucket for file | ||
| return "", path |
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The condition if "file" in path may match paths containing 'file' anywhere in the string, not just the protocol. Consider using if get_protocol(path) == "file" for more precise protocol checking.
Code suggestion
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| if "file" in path: | |
| # no bucket for file | |
| return "", path | |
| if get_protocol(path) == "file": | |
| # no bucket for file | |
| return "", path |
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flytekit/core/data_persistence.py
Outdated
| support_types = ["s3", "gs", "abfs"] | ||
| if protocol in support_types: | ||
| file_path = "/".join(path_li[1:]) | ||
| return (bucket, file_path) | ||
| else: | ||
| return bucket, path |
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The list of supported storage types support_types = ['s3', 'gs', 'abfs'] could be defined as a module-level constant since it's used for validation. Consider moving it outside the function to improve maintainability.
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@@ -53,1 +53,2 @@
_ANON = "anon"
+SUPPORTED_STORAGE_TYPES = ["s3", "gs", "abfs"]
@@ -136,2 +136,1 @@
- support_types = ["s3", "gs", "abfs"]
- if protocol in support_types:
+ if protocol in SUPPORTED_STORAGE_TYPES:
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flytekit/core/data_persistence.py
Outdated
| kwargs["store"] = store | ||
|
|
||
| if anonymous: | ||
| kwargs[_ANON] = True |
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Consider using kwargs[_ANON] = anonymous instead of hardcoding True to maintain consistency with the input parameter value.
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| kwargs[_ANON] = True | |
| kwargs[_ANON] = anonymous |
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flytekit/core/data_persistence.py
Outdated
| bucket, to_path_file_only = split_path(to_path) | ||
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) |
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Consider validating the bucket parameter before passing it to get_async_filesystem_for_path(). An empty bucket could cause issues with certain storage backends. Similar issues were also found in:
- flytekit/core/data_persistence.py (line 318)
- flytekit/core/data_persistence.py (line 521)
- flytekit/core/data_persistence.py (line 308)
Code suggestion
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| bucket, to_path_file_only = split_path(to_path) | |
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) | |
| bucket, to_path_file_only = split_path(to_path) | |
| protocol = get_protocol(to_path) | |
| if protocol in ['s3', 'gs', 'abfs'] and not bucket: | |
| raise ValueError(f'Bucket cannot be empty for {protocol} protocol') | |
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) |
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successfully run it on local, not yet tested remote Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
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flytekit/core/data_persistence.py
Outdated
| bucket, to_path_file_only = split_path(to_path) | ||
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) |
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Consider extracting the bucket and path splitting logic into a separate method to improve code reusability and maintainability. The split_path function is used in multiple places and could be encapsulated better.
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| bucket, to_path_file_only = split_path(to_path) | |
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) | |
| bucket, path = self._split_and_get_bucket_path(to_path) | |
| file_system = await self.get_async_filesystem_for_path(to_path, bucket) |
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flytekit/core/data_persistence.py
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| bucket, from_path_file_only = split_path(from_path) | ||
| file_system = await self.get_async_filesystem_for_path(from_path, bucket) |
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Consider handling the case where split_path() returns empty bucket for non-file protocols. Currently passing empty bucket to get_async_filesystem_for_path() could cause issues with cloud storage access.
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| bucket, from_path_file_only = split_path(from_path) | |
| file_system = await self.get_async_filesystem_for_path(from_path, bucket) | |
| bucket, from_path_file_only = split_path(from_path) | |
| protocol = get_protocol(from_path) | |
| if protocol not in ['file'] and not bucket: | |
| raise ValueError(f'Empty bucket not allowed for protocol {protocol}') | |
| file_system = await self.get_async_filesystem_for_path(from_path, bucket) |
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flytekit/core/data_persistence.py
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| fsspec.register_implementation("s3", AsyncFsspecStore) | ||
| fsspec.register_implementation("gs", AsyncFsspecStore) | ||
| fsspec.register_implementation("abfs", AsyncFsspecStore) |
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Consider moving the fsspec implementation registrations to a more appropriate initialization location, such as a module-level __init__.py or a dedicated setup function. This would improve code organization and make the registrations more discoverable.
Code suggestion
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| fsspec.register_implementation("s3", AsyncFsspecStore) | |
| fsspec.register_implementation("gs", AsyncFsspecStore) | |
| fsspec.register_implementation("abfs", AsyncFsspecStore) | |
| def register_fsspec_implementations(): | |
| fsspec.register_implementation("s3", AsyncFsspecStore) | |
| fsspec.register_implementation("gs", AsyncFsspecStore) | |
| fsspec.register_implementation("abfs", AsyncFsspecStore) | |
| # Call during module initialization | |
| register_fsspec_implementations() |
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Specify the class properties for each file storage Signed-off-by: machichima <[email protected]>
flytekit/core/data_persistence.py
Outdated
| _ANON = "anon" | ||
| _FSSPEC_S3_KEY_ID = "access_key_id" | ||
| _FSSPEC_S3_SECRET = "secret_access_key" | ||
| _ANON = "skip_signature" |
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| _ANON = "skip_signature" | |
| _SKIP_SIGNATURE = "skip_signature" |
pyproject.toml
Outdated
| @@ -38,6 +38,7 @@ dependencies = [ | |||
| "marshmallow-jsonschema>=0.12.0", | |||
| "mashumaro>=3.15", | |||
| "msgpack>=1.1.0", | |||
| "obstore", | |||
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could we remove adlfs, gcsfs, and s3fs as well
flytekit/core/data_persistence.py
Outdated
| if azure_cfg.tenant_id: | ||
| kwargs["tenant_id"] = azure_cfg.tenant_id | ||
| kwargs[_ANON] = anonymous | ||
| return kwargs |
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Don't we need to return anything for gcs? if so, could we just remove this function
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Yes, there's no need to return any config as long as GOOGLE_APPLICATION_CREDENTIALS env variable is set. Origin flytekit version only add "token" for anonymous mode, which is not needed in obstore.
I will remove this function then
flytekit/core/data_persistence.py
Outdated
| @@ -664,6 +750,9 @@ async def async_put_data( | |||
| put_data = loop_manager.synced(async_put_data) | |||
|
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| register(["s3", "gs", "abfs"]) | |||
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Yes, I just added. Also updated here so that it is more obvious that abfss is needed
flytekit/flytekit/core/data_persistence.py
Line 280 in 6346fc3
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
Signed-off-by: machichima <[email protected]>
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Signed-off-by: machichima <[email protected]>
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Dockerfile.dev
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| @@ -40,6 +40,7 @@ RUN SETUPTOOLS_SCM_PRETEND_VERSION_FOR_FLYTEKIT=$PSEUDO_VERSION \ | |||
| -e /flytekit \ | |||
| -e /flytekit/plugins/flytekit-deck-standard \ | |||
| -e /flytekit/plugins/flytekit-flyteinteractive \ | |||
| obstore==0.3.0b9 \ | |||
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is this needed or can we put it in a dev requirements file? if we need it, should we bump to 0.6.0?
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Oh sorry I forgot to change this. I'll update this and pyproject.toml as well to 0.6.0
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Tracking issue
Related to flyteorg/flyte#4081
Why are the changes needed?
Use a Rust/Pyo3 package - obstore - as the storage backend for cloud storages. This provides the smaller dependencies size and enable users to use their own s3fs, gsfs, abfs, ... version.
What changes were proposed in this pull request?
Use obstore as the storage backend to replace s3fs, gsfs, and abfs.
How was this patch tested?
Setup process
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Performance
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Summary by Bito
This PR implements obstore as the new storage backend for Flytekit, replacing existing implementations for S3, GCS, and Azure (s3fs, gsfs, and abfs). The changes streamline protocol handling, optimize configuration, refine Azure storage logic, and enhance import practices while improving storage option handling and reducing dependency footprint. Significant updates to core storage components and comprehensive test coverage ensure compatibility with the new implementation.Unit tests added: True
Estimated effort to review (1-5, lower is better): 5