Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/2332#discussion_r79422057
--- Diff:
flink-streaming-connectors/flink-connector-hbase/src/test/java/org/apache/flink/streaming/connectors/hbase/example/HBaseSinkExample.java
---
@@ -0,0 +1,118 @@
+/*
+ * 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.streaming.connectors.hbase.example;
+
+import org.apache.flink.api.java.tuple.Tuple3;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.connectors.hbase.HBaseMapper;
+import org.apache.flink.streaming.connectors.hbase.HBaseSink;
+import org.apache.flink.streaming.connectors.hbase.MutationActions;
+import org.apache.hadoop.hbase.util.Bytes;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Random;
+
+/**
+ * This is an example showing how to use the HBaseSink in the Streaming
API.
+ *
+ * To run the example you need a local HBase database that has a table
"flink-example" with a column family "cf".
+ * In the example, the HBase sink takes an input of type {@link Tuple3}
and perform different operations based on the input.
+ * The first field of a input value is used as the row key, the second
field is treated as an opcode that
+ * determines which type of HBase operation is performed and the third
field is the value to written.
+ */
+public class HBaseSinkExample {
+
+ private static final List<Tuple3<String, Integer, Integer>> dataSource
= new ArrayList<>(100);
+ private static final String TABLE_NAME = "flink-example";
+ private static final String FAMILY = "cf";
+ private static final String COLUMN1 = "c1";
+ private static final String COLUMN2 = "c2";
+ private static final String ROWKEY_PREFIX = "row-";
+
+ static {
+ Random random = new Random();
+ for (int i = 0; i < 99; i++) {
+ String rowKey = ROWKEY_PREFIX + (i % 20);
+ int opcode = random.nextInt(9);
+ int value = i;
+ dataSource.add(new Tuple3<>(rowKey, opcode, value));
+ }
+ }
+
+ public static void main(String[] args) throws Exception {
+ final StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
+
+ DataStream<Tuple3<String, Integer, Integer>> source =
env.fromCollection(dataSource);
+
+ source.addSink(new HBaseSink<>(TABLE_NAME, new
HBaseMapperExample(FAMILY, COLUMN1, COLUMN2)));
+ env.execute();
+ }
+
+ /**
+ * This class implements {@link HBaseMapper}.
+ */
+ private static class HBaseMapperExample implements
HBaseMapper<Tuple3<String, Integer, Integer>> {
+
+ private static final long serialVersionUID = 1L;
+
+ private byte[] family;
+ private byte[] col1;
+ private byte[] col2;
+
+ public HBaseMapperExample(String family, String col1, String
col2) {
+ this.family = Bytes.toBytes(family);
+ this.col1 = Bytes.toBytes(col1);
+ this.col2 = Bytes.toBytes(col2);
+ }
+
+ @Override
+ public byte[] rowKey(Tuple3<String, Integer, Integer> value) {
+ return Bytes.toBytes(value.f0);
+ }
+
+ @Override
+ public MutationActions actions(Tuple3<String, Integer, Integer>
value) {
--- End diff --
I think this example is a bit too complicated. Can you change it to two or
three different actions?
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