HuangXingBo commented on a change in pull request #10086: [FLINK-14584][python]
Support complex data types in Python user-defined functions
URL: https://github.com/apache/flink/pull/10086#discussion_r354752254
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File path: flink-python/pyflink/table/tests/test_udf.py
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@@ -375,20 +423,27 @@ def date_func(date_param):
DataTypes.FIELD("h", DataTypes.DOUBLE()),
DataTypes.FIELD("i", DataTypes.BYTES()),
DataTypes.FIELD("j", DataTypes.STRING()),
- DataTypes.FIELD("k", DataTypes.DATE())]))
+ DataTypes.FIELD("k", DataTypes.DATE()),
+ DataTypes.FIELD("l", DataTypes.ARRAY(DataTypes.BIGINT())),
+ DataTypes.FIELD("m", DataTypes.MAP(DataTypes.BIGINT(),
DataTypes.STRING())),
+ DataTypes.FIELD("n", DataTypes.DECIMAL(38, 18))]))
t.select("bigint_func(a), bigint_func_none(b),"
"tinyint_func(c), boolean_func(d),"
"smallint_func(e),int_func(f),"
"float_func(g),double_func(h),"
"bytes_func(i),str_func(j),"
- "date_func(k)") \
+ "date_func(k),array_func(l),"
+ "map_func(m),multiset_func(create_multiset_func()),"
+ "decimal_func(n)") \
.insert_into("Results")
self.t_env.execute("test")
actual = source_sink_utils.results()
self.assert_equals(actual,
["1,null,1,true,32767,-2147483648,1.23,1.98932,"
- "[102, 108, 105, 110, 107],pyflink,2014-09-13"])
+ "[102, 108, 105, 110, 107],pyflink,2014-09-13,"
+ "[1, 2, 3],{1=flink, 2=pyflink},{1=2, 2=1},"
Review comment:
Yes.Neither array, set, or map can represent the multiset very conveniently
in Python.We can support support multiset in python later if we find a good
structure to express multiset.
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