在Flink中讀取HBase數據可以通過Flink的Table API和Flink的DataStream API來實現。

使用Table API：

1. 首先，需要添加HBase Connector的依賴：

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-hbase_2.11</artifactId>
    <version>${flink.version}</version>
</dependency>

2. 然后，在Flink的TableEnvironment中注冊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" +
        ")");

3. 最后，通過Table API查詢HBase表數據：

Table result = tableEnv.sqlQuery("SELECT * FROM hbase_table");
tableEnv.toRetractStream(result, Row.class).print();

使用DataStream API：

1. 首先，創建一個HBase數據源：

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);

2. 然后，對HBase數據進行處理：

hbaseData.map(new MapFunction<Row, String>() {
    @Override
    public String map(Row value) throws Exception {
        return value.toString();
    }
}).print();

以上是通過Flink讀取HBase數據的基本步驟，具體的操作可以根據實際需求進行調整和優化。