hequn8128 commented on a change in pull request #11556: [FLINK-16847][python]
Support timestamp types in vectorized Python UDF
URL: https://github.com/apache/flink/pull/11556#discussion_r400002276
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File path: flink-python/pyflink/table/types.py
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@@ -2282,6 +2288,55 @@ def verify(obj):
return verify
+def to_arrow_type(data_type):
+ """
+ Converts the specified Flink data type to pyarrow data type.
+ """
+ import pyarrow as pa
+ if type(data_type) == TinyIntType:
+ return pa.int8()
+ elif type(data_type) == SmallIntType:
+ return pa.int16()
+ elif type(data_type) == IntType:
+ return pa.int32()
+ elif type(data_type) == BigIntType:
+ return pa.int64()
+ elif type(data_type) == BooleanType:
+ return pa.bool_()
+ elif type(data_type) == FloatType:
+ return pa.float32()
+ elif type(data_type) == DoubleType:
+ return pa.float64()
+ elif type(data_type) == VarCharType:
+ return pa.utf8()
+ elif type(data_type) == VarBinaryType:
+ return pa.binary()
+ elif type(data_type) == DecimalType:
+ return pa.decimal128(data_type.precision, data_type.scale)
+ elif type(data_type) == DateType:
+ return pa.date32()
+ elif type(data_type) == TimeType:
+ if data_type.precision == 0:
+ return pa.time32('s')
+ elif 1 <= data_type.precision <= 3:
+ return pa.time32('ms')
+ elif 4 <= data_type.precision <= 6:
+ return pa.time64('us')
+ else:
+ return pa.time64('ns')
+ elif type(data_type) == LocalZonedTimestampType or type(data_type) ==
TimestampType:
Review comment:
Maybe `type(data_type) in [LocalZonedTimestampType, TimestampType]:`
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