def _numpy_and_codec_from_arrow_type(field_type):
from pyarrow import types
if types.is_int8(field_type):
np_type = np.int8
elif types.is_int16(field_type):
np_type = np.int16
elif types.is_int32(field_type):
np_type = np.int32
elif types.is_int64(field_type):
np_type = np.int64
elif types.is_string(field_type):
np_type = np.unicode_
elif types.is_boolean(field_type):
np_type = np.bool_
elif types.is_float32(field_type):
np_type = np.float32
elif types.is_float64(field_type):
np_type = np.float64
elif types.is_decimal(field_type):
np_type = Decimal
elif types.is_binary(field_type):
np_type = np.string_
elif types.is_fixed_size_binary(field_type):
np_type = np.string_
elif types.is_date(field_type):
np_type = np.datetime64
elif types.is_timestamp(field_type):
np_type = np.datetime64
elif types.is_list(field_type):
np_type = _numpy_and_codec_from_arrow_type(field_type.value_type)
else:
raise ValueError('Cannot auto-create unischema due to unsupported column type {}'.format(field_type))
return np_type
def convertPyArrowTypeToGlueType(pyarrowType: pa.DataType) -> str:
if (types.is_string(pyarrowType) or types.is_unicode(pyarrowType)
or types.is_large_string(pyarrowType)
or types.is_large_unicode(pyarrowType)):
return 'string'
if (types.is_int64(pyarrowType) or types.is_uint64(pyarrowType)):
return 'bigint'
if (types.is_binary(pyarrowType)):
return 'binary'
if (types.is_boolean(pyarrowType)):
return 'boolean'
if (types.is_date(pyarrowType) or types.is_date32(pyarrowType)
or types.is_date64(pyarrowType)):
return 'date'
if (types.is_decimal(pyarrowType)):
return 'decimal(16,2)'
if (types.is_float64(pyarrowType)):
'return double'
if (types.is_float16(pyarrowType) or types.is_float32(pyarrowType)):
return 'float'
if (types.is_int16(pyarrowType) or types.is_int32(pyarrowType)
or types.is_uint16(pyarrowType) or types.is_uint32(pyarrowType)):
return 'int'
if (types.is_map(pyarrowType)):
return 'map'
if (types.is_struct(pyarrowType)):
return 'struct'
if (types.is_timestamp(pyarrowType)):
return 'timestamp'
if (types.is_union(pyarrowType)):
return 'union'
return str(pyarrowType)
def _numpy_and_codec_from_arrow_type(field_type):
from pyarrow import types
if types.is_int8(field_type):
np_type = np.int8
codec = ScalarCodec(ByteType())
elif types.is_int16(field_type):
np_type = np.int16
codec = ScalarCodec(ShortType())
elif types.is_int32(field_type):
np_type = np.int32
codec = ScalarCodec(IntegerType())
elif types.is_int64(field_type):
np_type = np.int64
codec = ScalarCodec(LongType())
elif types.is_string(field_type):
np_type = np.unicode_
codec = ScalarCodec(StringType())
elif types.is_boolean(field_type):
np_type = np.bool_
codec = ScalarCodec(BooleanType())
elif types.is_float32(field_type):
np_type = np.float32
codec = ScalarCodec(FloatType())
elif types.is_float64(field_type):
np_type = np.float64
codec = ScalarCodec(DoubleType())
elif types.is_decimal(field_type):
np_type = Decimal
codec = ScalarCodec(DecimalType(field_type.precision,
field_type.scale))
elif types.is_binary(field_type):
codec = ScalarCodec(StringType())
np_type = np.string_
elif types.is_fixed_size_binary(field_type):
codec = ScalarCodec(StringType())
np_type = np.string_
elif types.is_date(field_type):
np_type = np.datetime64
codec = ScalarCodec(DateType())
elif types.is_timestamp(field_type):
np_type = np.datetime64
codec = ScalarCodec(TimestampType())
elif types.is_list(field_type):
_, np_type = _numpy_and_codec_from_arrow_type(field_type.value_type)
codec = None
else:
raise ValueError(
'Cannot auto-create unischema due to unsupported column type {}'.
format(field_type))
return codec, np_type
def test_is_temporal_date_time_timestamp():
date_types = [pa.date32(), pa.date64()]
time_types = [pa.time32('s'), pa.time64('ns')]
timestamp_types = [pa.timestamp('ms')]
for case in date_types + time_types + timestamp_types:
assert types.is_temporal(case)
for case in date_types:
assert types.is_date(case)
assert not types.is_time(case)
assert not types.is_timestamp(case)
for case in time_types:
assert types.is_time(case)
assert not types.is_date(case)
assert not types.is_timestamp(case)
for case in timestamp_types:
assert types.is_timestamp(case)
assert not types.is_date(case)
assert not types.is_time(case)
assert not types.is_temporal(pa.int32())
