Github user zasdfgbnm commented on a diff in the pull request: https://github.com/apache/spark/pull/18444#discussion_r125173496 --- Diff: python/pyspark/sql/types.py --- @@ -935,6 +936,86 @@ def _parse_datatype_json_value(json_value): long: LongType, }) +# Mapping Python array types to Spark SQL DataType +# We should be careful here. The size of these types in python depends on C +# implementation. We need to make sure that this conversion does not lose any +# precision. +# +# Reference for C integer size, see: +# ISO/IEC 9899:201x specification, § 5.2.4.2.1 Sizes of integer types <limits.h>. +# Reference for python array typecode, see: +# https://docs.python.org/2/library/array.html +# https://docs.python.org/3.6/library/array.html + +_array_int_typecode_ctype_mappings = { + 'b': ctypes.c_byte, + 'B': ctypes.c_ubyte, + 'h': ctypes.c_short, + 'H': ctypes.c_ushort, + 'i': ctypes.c_int, + 'I': ctypes.c_uint, + 'l': ctypes.c_long, + 'L': ctypes.c_ulong +} + +# TODO: Uncomment this when 'q' and 'Q' are supported by net.razorvine.pickle +# Type code 'q' and 'Q' are not available at python 2 +# if sys.version > "2": +# _array_int_typecode_ctype_mappings.update({ +# 'q': ctypes.c_longlong, +# 'Q': ctypes.c_ulonglong +# }) + + +def _int_size_to_type(size): + """ + Return the Scala type from the size of integers. + """ + if size <= 8: + return ByteType + if size <= 16: + return ShortType + if size <= 32: + return IntegerType + if size <= 64: + return LongType + raise TypeError("not supported type: integer size too large.") --- End diff -- I don't think we should log this. This is just a helper function that helps to construct `_array_type_mappings`, which is a complete list of all supported type codes. Being filtered out here is not an error, it's by design. If users try to use unsupported typecode, they will see another `TypeError` due to line 1052: ```python ..... elif isinstance(obj, array): if obj.typecode in _array_type_mappings: return ArrayType(_array_type_mappings[obj.typecode](), True) else: raise TypeError("not supported type: array(%s)" % obj.typecode) ..... ```
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