sunjincheng121 commented on a change in pull request #8561:
[FLINK-12588][python] Add TableSchema for Python Table API.
URL: https://github.com/apache/flink/pull/8561#discussion_r288812196
##########
File path: flink-python/pyflink/table/types.py
##########
@@ -1273,6 +1318,190 @@ def _to_java_type(data_type):
raise TypeError("Not supported type: %s" % data_type)
+_primitive_to_boxed_map = {'int': 'java.lang.Integer',
+ 'long': 'java.lang.Long',
+ 'byte': 'java.lang.Byte',
+ 'short': 'java.lang.Short',
+ 'char': 'java.lang.Character',
+ 'boolean': 'java.lang.Boolean',
+ 'float': 'java.lang.Float',
+ 'double': 'java.lang.Double'}
+
+
+def _is_instance_of(java_data_type, java_class):
+ gateway = get_gateway()
+ if isinstance(java_class, basestring):
+ param = java_class
+ elif isinstance(java_class, JavaClass):
+ param = get_java_class(java_class)
+ elif isinstance(java_class, JavaObject):
+ if not _is_instance_of(java_class, gateway.jvm.Class):
+ param = java_class.getClass()
+ else:
+ param = java_class
+ else:
+ raise TypeError(
+ "java_class must be a string, a JavaClass, or a JavaObject")
+
+ return
gateway.jvm.org.apache.flink.api.python.py4j.reflection.TypeUtil.isInstanceOf(
+ param, java_data_type)
+
+
+def _from_java_type(j_data_type):
+ gateway = get_gateway()
+
+ if _is_instance_of(j_data_type, gateway.jvm.TypeInformation):
+ # input is TypeInformation
+ LegacyTypeInfoDataTypeConverter = \
+
gateway.jvm.org.apache.flink.table.types.utils.LegacyTypeInfoDataTypeConverter
+ java_data_type =
LegacyTypeInfoDataTypeConverter.toDataType(j_data_type)
+ else:
+ # input is DataType
+ java_data_type = j_data_type
+
+ # Atomic Type with parameters.
+ if _is_instance_of(java_data_type, gateway.jvm.AtomicDataType):
+ logical_type = java_data_type.getLogicalType()
+ conversion_clz = java_data_type.getConversionClass()
+ if _is_instance_of(logical_type, gateway.jvm.CharType):
+ data_type = DataTypes.CHAR(logical_type.getLength(),
logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.VarCharType):
+ data_type = DataTypes.VARCHAR(logical_type.getLength(),
logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.BinaryType):
+ data_type = DataTypes.BINARY(logical_type.getLength(),
logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.VarBinaryType):
+ data_type = DataTypes.VARBINARY(logical_type.getLength(),
logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.DecimalType):
+ data_type = DataTypes.DECIMAL(logical_type.getPrecision(),
+ logical_type.getScale(),
+ logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.TimeType):
+ data_type = DataTypes.TIME(logical_type.getPrecision(),
logical_type.isNullable())
+ elif _is_instance_of(logical_type, gateway.jvm.TimestampType):
+ j_kind = logical_type.getKind()
+ kind = None
+ if j_kind == gateway.jvm.TimestampKind.REGULAR:
+ kind = TimestampKind.REGULAR
+ elif j_kind == gateway.jvm.TimestampKind.ROWTIME:
+ kind = TimestampKind.ROWTIME
+ elif j_kind == gateway.jvm.TimestampKind.PROCTIME:
+ kind = TimestampKind.PROCTIME
+ if kind is None:
+ raise Exception("Unsupported java timestamp kind %s" % j_kind)
+ data_type = DataTypes.TIMESTAMP(kind,
+ logical_type.getPrecision(),
Review comment:
Same as above.
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