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https://issues.apache.org/jira/browse/FLINK-6281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16093737#comment-16093737
 ] 

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_r128219296
  
    --- Diff: 
flink-connectors/flink-jdbc/src/main/java/org/apache/flink/api/java/io/jdbc/JDBCAppendTableSink.java
 ---
    @@ -0,0 +1,85 @@
    +/*
    + * 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.annotation.VisibleForTesting;
    +import org.apache.flink.api.common.typeinfo.TypeInformation;
    +import org.apache.flink.api.java.DataSet;
    +import org.apache.flink.api.java.typeutils.RowTypeInfo;
    +import org.apache.flink.streaming.api.datastream.DataStream;
    +import org.apache.flink.table.sinks.AppendStreamTableSink;
    +import org.apache.flink.table.sinks.BatchTableSink;
    +import org.apache.flink.table.sinks.TableSink;
    +import org.apache.flink.types.Row;
    +
    +/**
    + * An at-least-once Table sink for JDBC.
    + */
    +public class JDBCAppendTableSink implements AppendStreamTableSink<Row>, 
BatchTableSink<Row> {
    +   private final JDBCSinkFunction sink;
    +
    +   private String[] fieldNames;
    +   private TypeInformation[] fieldTypes;
    +
    +   JDBCAppendTableSink(JDBCOutputFormat outputFormat) {
    +           this.sink = new JDBCSinkFunction(outputFormat);
    +   }
    +
    +   public static JDBCAppendTableSinkBuilder builder() {
    +           return new JDBCAppendTableSinkBuilder();
    +   }
    +
    +   @Override
    +   public void emitDataStream(DataStream<Row> dataStream) {
    +           dataStream.addSink(sink);
    +   }
    +
    +   @Override
    +   public void emitDataSet(DataSet<Row> dataSet) {
    +           dataSet.output(sink.outputFormat);
    +   }
    +
    +   @Override
    +   public TypeInformation<Row> getOutputType() {
    +           return new RowTypeInfo(fieldTypes, fieldNames);
    +   }
    +
    +   @Override
    +   public String[] getFieldNames() {
    +           return fieldNames;
    +   }
    +
    +   @Override
    +   public TypeInformation<?>[] getFieldTypes() {
    +           return fieldTypes;
    +   }
    +
    +   @Override
    +   public TableSink<Row> configure(String[] fieldNames, 
TypeInformation<?>[] fieldTypes) {
    +           JDBCAppendTableSink copy = new 
JDBCAppendTableSink(sink.outputFormat);
    --- End diff --
    
    We could validate that the types of the `JDBCOutputFormat` match the 
`fieldTypes` which are provided by the optimizer. 
    Or do you have concerns regarding such a check?


> 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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