polars.scan_ipc

polars.scan_ipc(

source: str | Path | list[str] | list[Path],

*,

n_rows: int | None = None,

cache: bool = True,

rechunk: bool = False,

row_index_name: str | None = None,

row_index_offset: int = 0,

storage_options: dict[str, Any] | None = None,

memory_map: bool = True,

retries: int = 2,

file_cache_ttl: int | None = None,

hive_partitioning: bool | None = None,

hive_schema: SchemaDict | None = None,

try_parse_hive_dates: bool = True,

include_file_paths: str | None = None,

) → LazyFrame

Lazily read from an Arrow IPC (Feather v2) file or multiple files via glob patterns.

This allows the query optimizer to push down predicates and projections to the scan level, thereby potentially reducing memory overhead.

Parameters:

source

Path to a IPC file.

n_rows

Stop reading from IPC file after reading n_rows.

cache

Cache the result after reading.

rechunk

Reallocate to contiguous memory when all chunks/ files are parsed.

row_index_name

If not None, this will insert a row index column with give name into the DataFrame

row_index_offset

Offset to start the row index column (only use if the name is set)

storage_options

Options that indicate how to connect to a cloud provider.

The cloud providers currently supported are AWS, GCP, and Azure. See supported keys here:

• aws

• gcp

• azure

If storage_options is not provided, Polars will try to infer the information from environment variables.

memory_map

Try to memory map the file. This can greatly improve performance on repeated queries as the OS may cache pages. Only uncompressed IPC files can be memory mapped.

retries

Number of retries if accessing a cloud instance fails.

file_cache_ttl

Amount of time to keep downloaded cloud files since their last access time, in seconds. Uses the POLARS_FILE_CACHE_TTL environment variable (which defaults to 1 hour) if not given.

hive_partitioning

Infer statistics and schema from Hive partitioned URL and use them to prune reads. This is unset by default (i.e. None), meaning it is automatically enabled when a single directory is passed, and otherwise disabled.

hive_schema

The column names and data types of the columns by which the data is partitioned. If set to None (default), the schema of the Hive partitions is inferred.

Warning

This functionality is considered unstable. It may be changed at any point without it being considered a breaking change.

try_parse_hive_dates

Whether to try parsing hive values as date/datetime types.

include_file_paths

Include the path of the source file(s) as a column with this name.