pyarrow.dataset.Fragment

class pyarrow.dataset.Fragment

Bases: _Weakrefable

Fragment of data from a Dataset.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
count_rows(self, **kwargs)	Count rows matching the scanner filter.
head(self, int num_rows, **kwargs)	Load the first N rows of the fragment.
scanner(self, Schema schema=None, **kwargs)	Build a scan operation against the fragment.
take(self, indices, **kwargs)	Select rows of data by index.
to_batches(self, Schema schema=None, **kwargs)	Read the fragment as materialized record batches.
to_table(self, Schema schema=None, **kwargs)	Convert this Fragment into a Table.

Attributes

partition_expression	An Expression which evaluates to true for all data viewed by this Fragment.
physical_schema	Return the physical schema of this Fragment.

count_rows(self, **kwargs)

Count rows matching the scanner filter.

Parameters:

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

countint

head(self, int num_rows, **kwargs)

Load the first N rows of the fragment.

Parameters:

num_rowsint

The number of rows to load.

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

Table

partition_expression

An Expression which evaluates to true for all data viewed by this Fragment.

physical_schema

Return the physical schema of this Fragment. This schema can be different from the dataset read schema.

scanner(self, Schema schema=None, **kwargs)

Build a scan operation against the fragment.

Data is not loaded immediately. Instead, this produces a Scanner, which exposes further operations (e.g. loading all data as a table, counting rows).

Parameters:

schemaSchema

Schema to use for scanning. This is used to unify a Fragment to it’s Dataset’s schema. If not specified this will use the Fragment’s physical schema which might differ for each Fragment.

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

scannerScanner

take(self, indices, **kwargs)

Select rows of data by index.

Parameters:

indicesArray or array-like

The indices of row to select in the dataset.

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

Table

to_batches(self, Schema schema=None, **kwargs)

Read the fragment as materialized record batches.

Parameters:

schemaSchema, optional

Concrete schema to use for scanning.

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

record_batchesiterator of RecordBatch

to_table(self, Schema schema=None, **kwargs)

Convert this Fragment into a Table.

Use this convenience utility with care. This will serially materialize the Scan result in memory before creating the Table.

Parameters:

schemaSchema, optional

Concrete schema to use for scanning.

**kwargsdict, optional

Arguments for Scanner.from_fragment.

Returns:

tableTable

previous

pyarrow.dataset.UnionDataset

next

pyarrow.dataset.FragmentScanOptions