def dataset(mockfs):
format = ds.ParquetFileFormat()
selector = fs.FileSelector('subdir', recursive=True)
options = ds.FileSystemFactoryOptions('subdir')
options.partitioning = ds.DirectoryPartitioning(
pa.schema(
[pa.field('group', pa.int32()),
pa.field('key', pa.string())]))
factory = ds.FileSystemSourceFactory(mockfs, selector, format, options)
schema = factory.inspect()
source = factory.finish()
return ds.Dataset([source], schema)
def dataset(mockfs):
format = ds.ParquetFileFormat()
selector = fs.FileSelector('subdir', recursive=True)
options = ds.FileSystemDiscoveryOptions('subdir')
options.partition_scheme = ds.SchemaPartitionScheme(
pa.schema(
[pa.field('group', pa.int32()),
pa.field('key', pa.string())]))
discovery = ds.FileSystemDataSourceDiscovery(mockfs, selector, format,
options)
schema = discovery.inspect()
source = discovery.finish()
return ds.Dataset([source], schema)
def test_file_system_factory(mockfs, paths_or_selector):
format = ds.ParquetFileFormat()
options = ds.FileSystemFactoryOptions('subdir')
options.partitioning = ds.DirectoryPartitioning(
pa.schema([
pa.field('group', pa.int32()),
pa.field('key', pa.string())
])
)
assert options.partition_base_dir == 'subdir'
assert options.ignore_prefixes == ['.', '_']
assert options.exclude_invalid_files is True
factory = ds.FileSystemSourceFactory(
mockfs, paths_or_selector, format, options
)
inspected_schema = factory.inspect()
assert isinstance(factory.inspect(), pa.Schema)
assert isinstance(factory.inspect_schemas(), list)
assert isinstance(factory.finish(inspected_schema),
ds.FileSystemSource)
assert factory.root_partition.equals(ds.ScalarExpression(True))
source = factory.finish()
assert isinstance(source, ds.Source)
dataset = ds.Dataset([source], inspected_schema)
scanner = dataset.new_scan().finish()
assert len(list(scanner.scan())) == 2
expected_i64 = pa.array([0, 1, 2, 3, 4], type=pa.int64())
expected_f64 = pa.array([0, 1, 2, 3, 4], type=pa.float64())
for task, group, key in zip(scanner.scan(), [1, 2], ['xxx', 'yyy']):
expected_group_column = pa.array([group] * 5, type=pa.int32())
expected_key_column = pa.array([key] * 5, type=pa.string())
for batch in task.execute():
assert batch.num_columns == 4
assert batch[0].equals(expected_i64)
assert batch[1].equals(expected_f64)
assert batch[2].equals(expected_group_column)
assert batch[3].equals(expected_key_column)
table = scanner.to_table()
assert isinstance(table, pa.Table)
assert len(table) == 10
assert table.num_columns == 4