def test_is_map():
m = pa.map_(pa.utf8(), pa.int32())
assert types.is_map(m)
assert not types.is_map(pa.int32())
entries_type = pa.struct([pa.field('key', pa.int8()),
pa.field('value', pa.int8())])
list_type = pa.list_(entries_type)
assert not types.is_map(list_type)
def test_is_map():
m = pa.map_(pa.utf8(), pa.int32())
assert types.is_map(m)
assert not types.is_map(pa.int32())
fields = pa.map_(pa.field('key_name', pa.utf8(), nullable=False),
pa.field('value_name', pa.int32()))
assert types.is_map(fields)
entries_type = pa.struct([pa.field('key', pa.int8()),
pa.field('value', pa.int8())])
list_type = pa.list_(entries_type)
assert not types.is_map(list_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 from_arrow_type(at):
""" Convert pyarrow type to Spark data type.
"""
from distutils.version import LooseVersion
import pyarrow as pa
import pyarrow.types as types
if types.is_boolean(at):
spark_type = BooleanType()
elif types.is_int8(at):
spark_type = ByteType()
elif types.is_int16(at):
spark_type = ShortType()
elif types.is_int32(at):
spark_type = IntegerType()
elif types.is_int64(at):
spark_type = LongType()
elif types.is_float32(at):
spark_type = FloatType()
elif types.is_float64(at):
spark_type = DoubleType()
elif types.is_decimal(at):
spark_type = DecimalType(precision=at.precision, scale=at.scale)
elif types.is_string(at):
spark_type = StringType()
elif types.is_binary(at):
spark_type = BinaryType()
elif types.is_date32(at):
spark_type = DateType()
elif types.is_timestamp(at):
spark_type = TimestampType()
elif types.is_list(at):
if types.is_timestamp(at.value_type):
raise TypeError("Unsupported type in conversion from Arrow: " + str(at))
spark_type = ArrayType(from_arrow_type(at.value_type))
elif types.is_map(at):
if LooseVersion(pa.__version__) < LooseVersion("2.0.0"):
raise TypeError("MapType is only supported with pyarrow 2.0.0 and above")
if types.is_timestamp(at.key_type) or types.is_timestamp(at.item_type):
raise TypeError("Unsupported type in conversion from Arrow: " + str(at))
spark_type = MapType(from_arrow_type(at.key_type), from_arrow_type(at.item_type))
elif types.is_struct(at):
if any(types.is_struct(field.type) for field in at):
raise TypeError("Nested StructType not supported in conversion from Arrow: " + str(at))
return StructType(
[StructField(field.name, from_arrow_type(field.type), nullable=field.nullable)
for field in at])
elif types.is_dictionary(at):
spark_type = from_arrow_type(at.value_type)
elif types.is_null(at):
spark_type = NullType()
else:
raise TypeError("Unsupported type in conversion from Arrow: " + str(at))
return spark_type
