diff --git a/awswrangler/distributed/ray/_executor.py b/awswrangler/distributed/ray/_executor.py index 87578e869..56e7d7203 100644 --- a/awswrangler/distributed/ray/_executor.py +++ b/awswrangler/distributed/ray/_executor.py @@ -39,7 +39,7 @@ def __init__(self, max_concurrency: int) -> None: super().__init__() _logger.debug("Initializing Ray Actor with maximum concurrency %d", max_concurrency) - self._actor: ray.actor.ActorHandle = AsyncActor.options(max_concurrency=max_concurrency).remote() # type: ignore[attr-defined] + self._actor: "ray.actor.ActorHandle[AsyncActor]" = AsyncActor.options(max_concurrency=max_concurrency).remote() # type: ignore[attr-defined] def map(self, func: Callable[..., MapOutputType], _: "BaseClient" | None, *args: Any) -> list[MapOutputType]: """Map func and return ray futures.""" diff --git a/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py b/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py index 041423645..8f7079fc8 100644 --- a/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py +++ b/awswrangler/distributed/ray/datasources/arrow_parquet_datasource.py @@ -344,7 +344,6 @@ def get_read_tasks(self, parallelism: int) -> list[ReadTask]: meta = self._meta_provider( paths, # type: ignore[arg-type] - self._inferred_schema, num_fragments=len(fragments), prefetched_metadata=metadata, ) @@ -566,7 +565,7 @@ def compute_batch_size_rows(sample_info: _SampleInfo) -> int: if sample_info.actual_bytes_per_row is None: return PARQUET_READER_ROW_BATCH_SIZE else: - max_parquet_reader_row_batch_size_bytes = DataContext.get_current().target_max_block_size // 10 + max_parquet_reader_row_batch_size_bytes = DataContext.get_current().target_max_block_size // 10 # type: ignore[operator] return max( 1, min( diff --git a/awswrangler/distributed/ray/datasources/file_datasink.py b/awswrangler/distributed/ray/datasources/file_datasink.py index 80844b6d4..60f2f687c 100644 --- a/awswrangler/distributed/ray/datasources/file_datasink.py +++ b/awswrangler/distributed/ray/datasources/file_datasink.py @@ -78,7 +78,7 @@ def _write_block(write_path: str, block: pd.DataFrame) -> str: write_path = self.path if write_path.endswith("/"): - filename = self.filename_provider.get_filename_for_block(block, ctx.task_idx, 0) + filename = self.filename_provider.get_filename_for_block(block, "", ctx.task_idx, 0) write_path = posixpath.join(self.path, filename) return _write_block(write_path, block) diff --git a/awswrangler/distributed/ray/datasources/filename_provider.py b/awswrangler/distributed/ray/datasources/filename_provider.py index e13e09fcc..c4054dcc3 100644 --- a/awswrangler/distributed/ray/datasources/filename_provider.py +++ b/awswrangler/distributed/ray/datasources/filename_provider.py @@ -26,13 +26,16 @@ def __init__( def get_filename_for_block( self, block: Block, + write_uuid: str, task_index: int, block_index: int, ) -> str: file_id = f"{task_index:06}_{block_index:06}" return self._generate_filename(file_id) - def get_filename_for_row(self, row: dict[str, Any], task_index: int, block_index: int, row_index: int) -> str: + def get_filename_for_row( + self, row: dict[str, Any], write_uuid: str, task_index: int, block_index: int, row_index: int + ) -> str: file_id = f"{task_index:06}_{block_index:06}_{row_index:06}" return self._generate_filename(file_id) diff --git a/pyproject.toml b/pyproject.toml index f7daba298..c71b34b82 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,10 +23,7 @@ dependencies = [ "botocore>=1.23.32,<2", "pandas>=1.2.0,<3.0.0", "numpy>=1.26,<3.0", - "pyarrow>=18.0.0,<21.0.0 ; sys_platform != 'darwin' or platform_machine != 'x86_64'", - # pyarrow 18 causes macos build failures - # https://github.com/ray-project/ray/pull/48446 - "pyarrow>=8.0.0,<18.0.0 ; sys_platform == 'darwin' and platform_machine == 'x86_64'", + "pyarrow>=8.0.0,<21.0.0", "typing-extensions>=4.4.0,<5", 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