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https://issues.apache.org/jira/browse/FLINK-6281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16082469#comment-16082469
 ] 

ASF GitHub Bot commented on FLINK-6281:
---------------------------------------

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3712#discussion_r126736740
  
    --- Diff: 
flink-connectors/flink-jdbc/src/test/java/org/apache/flink/api/java/io/jdbc/JDBCTableSinkTest.java
 ---
    @@ -0,0 +1,128 @@
    +/*
    + * 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.
    + */
    +
    +package org.apache.flink.api.java.io.jdbc;
    +
    +import org.apache.flink.api.common.functions.RuntimeContext;
    +import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
    +import org.apache.flink.api.common.typeinfo.TypeInformation;
    +import org.apache.flink.api.java.typeutils.RowTypeInfo;
    +import org.apache.flink.configuration.Configuration;
    +import org.apache.flink.types.Row;
    +
    +import org.junit.After;
    +import org.junit.Test;
    +
    +import java.io.IOException;
    +import java.sql.Connection;
    +import java.sql.DriverManager;
    +import java.sql.PreparedStatement;
    +import java.sql.ResultSet;
    +
    +import static org.junit.Assert.assertArrayEquals;
    +import static org.junit.Assert.assertEquals;
    +import static org.junit.Assert.assertFalse;
    +import static org.junit.Assert.assertNotSame;
    +import static org.mockito.Mockito.doReturn;
    +import static org.mockito.Mockito.mock;
    +
    +/**
    + * Test for JDBCTableSink.
    + */
    +public class JDBCTableSinkTest extends JDBCTestBase {
    +   private static final String[] FIELD_NAMES = new String[]{"foo"};
    +   private static final TypeInformation[] FIELD_TYPES = new 
TypeInformation[]{
    +           BasicTypeInfo.STRING_TYPE_INFO
    +   };
    +
    +
    +   private JDBCOutputFormat jdbcOutputFormat;
    +
    +   @After
    +   public void tearDown() throws IOException {
    +           if (jdbcOutputFormat != null) {
    +                   jdbcOutputFormat.close();
    +           }
    +           jdbcOutputFormat = null;
    +   }
    +
    +   @Test
    +   public void testFlush() throws Exception {
    --- End diff --
    
    This tests rather the `JdbcOutputFormat.flush()` method. I would move (and 
adapt) this test to the `JdbcOutputFormatTest`.
    
    For the `JdbcTableSink` we need tests that check the configuration (which 
is done below) and a check that the `emitDataStream()` method (and the returned 
`SinkFunction`) is working correctly. I would do this by calling 
`emitDataStream()` with a mocked `DataStream<Row>` and fetching the 
`SinkFunction` from the returned `DataStreamSink` 
(`sink.getTransformation().getOperator().getUserFunction()`).


> Create TableSink for JDBC
> -------------------------
>
>                 Key: FLINK-6281
>                 URL: https://issues.apache.org/jira/browse/FLINK-6281
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table API & SQL
>            Reporter: Haohui Mai
>            Assignee: Haohui Mai
>
> It would be nice to integrate the table APIs with the JDBC connectors so that 
> the rows in the tables can be directly pushed into JDBC.



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