HuangXingBo commented on a change in pull request #13327:
URL: https://github.com/apache/flink/pull/13327#discussion_r485471276
##########
File path: flink-python/pyflink/datastream/tests/test_data_stream.py
##########
@@ -557,6 +557,44 @@ def assert_chainable(j_stream_graph,
expected_upstream_chainable,
# upstream and downstream operators.
assert_chainable(j_generated_stream_graph, False, False)
+ def test_primitive_array_type_info(self):
+ ds = self.env.from_collection([(1, [1.1, 1.2, 1.30]), (2, [2.1, 2.2,
2.3]),
+ (3, [3.1, 3.2, 3.3])],
+ type_info=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))
+
+ ds.map(lambda x: x, output_type=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))\
+ .add_sink(self.test_sink)
+ self.env.execute("test array type info")
Review comment:
```suggestion
self.env.execute("test primitive array type info")
```
##########
File path:
flink-python/src/main/java/org/apache/flink/datastream/runtime/typeutils/python/PythonTypeUtils.java
##########
@@ -308,6 +366,14 @@ public static TypeSerializer
typeInfoSerializerConverter(TypeInformation typeInf
.map(f ->
typeInfoSerializerConverter(f)).toArray(TypeSerializer[]::new);
return new
TupleSerializer(Tuple.getTupleClass(tupleTypeInfo.getArity()),
fieldTypeSerialzers);
}
+
+ if (typeInformation instanceof
BasicArrayTypeInfo){
Review comment:
Do we need to add the corresponding test content in
`testTypeInfotoSerializerConverter`
##########
File path: flink-python/pyflink/fn_execution/coders.py
##########
@@ -226,13 +226,24 @@ class ArrayCoder(CollectionCoder):
"""
def __init__(self, elem_coder):
- self._elem_coder = elem_coder
super(ArrayCoder, self).__init__(elem_coder)
def get_impl(self):
return coder_impl.ArrayCoderImpl(self._elem_coder.get_impl())
+class PrimitiveArrayCoder(CollectionCoder):
Review comment:
Now that we have introduced `PrimitiveArrayCoder`, can we rename
`ArrayCoder` to `BasicArrayCoder`
##########
File path: flink-python/pyflink/datastream/tests/test_data_stream.py
##########
@@ -557,6 +557,44 @@ def assert_chainable(j_stream_graph,
expected_upstream_chainable,
# upstream and downstream operators.
assert_chainable(j_generated_stream_graph, False, False)
+ def test_primitive_array_type_info(self):
+ ds = self.env.from_collection([(1, [1.1, 1.2, 1.30]), (2, [2.1, 2.2,
2.3]),
+ (3, [3.1, 3.2, 3.3])],
+ type_info=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))
+
+ ds.map(lambda x: x, output_type=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))\
+ .add_sink(self.test_sink)
+ self.env.execute("test array type info")
+ results = self.test_sink.get_results()
+ expected = ['1,[1.1, 1.2, 1.3]', '2,[2.1, 2.2, 2.3]', '3,[3.1, 3.2,
3.3]']
+ results.sort()
+ expected.sort()
+ self.assertEqual(expected, results)
+
+ def test_basic_array_type_info(self):
+ ds = self.env.from_collection([(1, [1.1, None, 1.30], [None, 'hi',
'flink']),
+ (2, [None, 2.2, 2.3], ['hello', None,
'flink']),
+ (3, [3.1, 3.2, None], ['hello', 'hi',
None])],
+ type_info=Types.ROW([Types.INT(),
+
Types.BASIC_ARRAY(Types.FLOAT()),
+
Types.BASIC_ARRAY(Types.STRING())]))
+
+ ds.map(lambda x: x, output_type=Types.ROW([Types.INT(),
+
Types.BASIC_ARRAY(Types.FLOAT()),
+
Types.BASIC_ARRAY(Types.STRING())]))\
+ .add_sink(self.test_sink)
+ self.env.execute("test array type info")
Review comment:
```suggestion
self.env.execute("test basic array type info")
```
##########
File path: flink-python/pyflink/datastream/tests/test_data_stream.py
##########
@@ -557,6 +557,44 @@ def assert_chainable(j_stream_graph,
expected_upstream_chainable,
# upstream and downstream operators.
assert_chainable(j_generated_stream_graph, False, False)
+ def test_primitive_array_type_info(self):
+ ds = self.env.from_collection([(1, [1.1, 1.2, 1.30]), (2, [2.1, 2.2,
2.3]),
+ (3, [3.1, 3.2, 3.3])],
+ type_info=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))
+
+ ds.map(lambda x: x, output_type=Types.ROW([Types.INT(),
+
Types.PRIMITIVE_ARRAY(Types.FLOAT())]))\
+ .add_sink(self.test_sink)
+ self.env.execute("test array type info")
+ results = self.test_sink.get_results()
+ expected = ['1,[1.1, 1.2, 1.3]', '2,[2.1, 2.2, 2.3]', '3,[3.1, 3.2,
3.3]']
+ results.sort()
+ expected.sort()
+ self.assertEqual(expected, results)
+
+ def test_basic_array_type_info(self):
+ ds = self.env.from_collection([(1, [1.1, None, 1.30], [None, 'hi',
'flink']),
+ (2, [None, 2.2, 2.3], ['hello', None,
'flink']),
+ (3, [3.1, 3.2, None], ['hello', 'hi',
None])],
+ type_info=Types.ROW([Types.INT(),
+
Types.BASIC_ARRAY(Types.FLOAT()),
+
Types.BASIC_ARRAY(Types.STRING())]))
+
+ ds.map(lambda x: x, output_type=Types.ROW([Types.INT(),
+
Types.BASIC_ARRAY(Types.FLOAT()),
+
Types.BASIC_ARRAY(Types.STRING())]))\
+ .add_sink(self.test_sink)
+ self.env.execute("test array type info")
+ results = self.test_sink.get_results()
+ expected = ['1,[1.1, null, 1.3],[null, hi, flink]',
+ '2,[null, 2.2, 2.3],[hello, null, flink]',
+ '3,[3.1, 3.2, null],[hello, hi, null]']
+ results.sort()
+ expected.sort()
+ print(results)
Review comment:
remove debugging information
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