HuangXingBo commented on a change in pull request #14317: URL: https://github.com/apache/flink/pull/14317#discussion_r539047765
########## File path: flink-python/pyflink/table/tests/test_row_based_operation.py ########## @@ -0,0 +1,67 @@ +################################################################################ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +################################################################################ + +from pyflink.common import Row +from pyflink.table.types import DataTypes +from pyflink.table.udf import udf +from pyflink.testing import source_sink_utils +from pyflink.testing.test_case_utils import PyFlinkBlinkBatchTableTestCase, \ + PyFlinkBlinkStreamTableTestCase + + +class RowBasedOperationTests(object): + def test_map(self): + t = self.t_env.from_elements( + [(1, 2, 3), (2, 1, 3), (1, 5, 4), (1, 8, 6), (2, 3, 4)], + DataTypes.ROW( + [DataTypes.FIELD("a", DataTypes.TINYINT()), + DataTypes.FIELD("b", DataTypes.SMALLINT()), + DataTypes.FIELD("c", DataTypes.INT())])) + + table_sink = source_sink_utils.TestAppendSink( + ['a', 'b'], + [DataTypes.BIGINT(), DataTypes.BIGINT()]) + self.t_env.register_table_sink("Results", table_sink) + + func = udf(lambda x: Row(x + 1, x * x), result_type=DataTypes.ROW( + [DataTypes.FIELD("a", DataTypes.BIGINT()), + DataTypes.FIELD("b", DataTypes.BIGINT())])) + + t.map(func(t.b)).alias("a", "b").execute_insert("Results").wait() Review comment: Supporting Pandas UDF will be in [FLINK-20483](https://issues.apache.org/jira/browse/FLINK-20483). I will add the test case for two continuous map. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
