在Flink中读取HBase数据可以通过Flink的Table API和Flink的DataStream API来实现。
使用Table API:
首先,需要添加HBase Connector的依赖:<dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-hbase_2.11</artifactId> <version>${flink.version}</version></dependency>然后,在Flink的TableEnvironment中注册HBase表:TableConfig tableConfig = new TableConfig();tableConfig.setConnector("hbase");tableConfig.getConfiguration().put("connector.table-name", "your_hbase_table_name");tableConfig.getConfiguration().put("connector.zookeeper.quorum", "zookeeper_host");tableConfig.getConfiguration().put("connector.zookeeper.znode.parent", "/hbase");tableConfig.getConfiguration().put("connector.write.buffer-flush.max-size", "1mb");EnvironmentSettings settings = EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();TableEnvironment tableEnv = TableEnvironment.create(settings);tableEnv.getConfig().setTableConfig(tableConfig);tableEnv.executeSql("CREATE TABLE hbase_table (\n" + " rowkey STRING,\n" + " cf1 ROW<col1 STRING, col2 INT>,\n" + " cf2 ROW<col3 DOUBLE>\n" + ") WITH (\n" + " 'connector' = 'hbase'\n" + ")");最后,通过Table API查询HBase表数据:Table result = tableEnv.sqlQuery("SELECT * FROM hbase_table");tableEnv.toRetractStream(result, Row.class).print();使用DataStream API:
首先,创建一个HBase数据源:final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();DeserializationSchema<Row> deserializer = new HBaseRowDeserializationSchema("your_hbase_table_name");HBaseInputFormat hbaseInputFormat = new HBaseInputFormat("zookeeper_host", "your_hbase_table_name", new String[]{"cf1", "cf2"}, new TypeInformation[]{Types.STRING, Types.INT, Types.DOUBLE});DataStream<Row> hbaseData = env.createInput(hbaseInputFormat, deserializer);然后,对HBase数据进行处理:hbaseData.map(new MapFunction<Row, String>() { @Override public String map(Row value) throws Exception { return value.toString(); }}).print();以上是通过Flink读取HBase数据的基本步骤,具体的操作可以根据实际需求进行调整和优化。


