如何将hdfs的文件信息插入到建好的Hbase表，用java API

好的，您可以按照以下步骤使用Java API将HDFS的文件信息插入到HBase表中：

1. 引入HBase和Hadoop的依赖

<dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-common</artifactId>
    <version>${hadoop.version}</version>
</dependency>

<dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-hdfs</artifactId>
    <version>${hadoop.version}</version>
</dependency>

<dependency>
    <groupId>org.apache.hbase</groupId>
    <artifactId>hbase-client</artifactId>
    <version>${hbase.version}</version>
</dependency>

2. 初始化HDFS和HBase的配置

Configuration conf = new Configuration();
conf.set("fs.defaultFS", "hdfs://localhost:9000");

Configuration hbaseConf = HBaseConfiguration.create();
hbaseConf.set("hbase.zookeeper.quorum", "localhost");
hbaseConf.set("hbase.zookeeper.property.clientPort", "2181");

3. 获取HDFS文件系统和HBase表

FileSystem fs = FileSystem.get(conf);
Table table = ConnectionFactory.createConnection(hbaseConf).getTable(TableName.valueOf("students"));

4. 读取HDFS文件信息，并将数据插入到HBase表中

Path path = new Path("/input/scores.txt");
FSDataInputStream inputStream = fs.open(path);
BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream));

String line = reader.readLine();
while (line != null) {
    String[] fields = line.split(",");
    Put put = new Put(Bytes.toBytes(fields[0]));
    put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("name"), Bytes.toBytes(fields[1]));
    put.addColumn(Bytes.toBytes("scores"), Bytes.toBytes("语文"), Bytes.toBytes(fields[2]));
    put.addColumn(Bytes.toBytes("scores"), Bytes.toBytes("数学"), Bytes.toBytes(fields[3]));
    put.addColumn(Bytes.toBytes("scores"), Bytes.toBytes("英语"), Bytes.toBytes(fields[4]));
    table.put(put);
    line = reader.readLine();
}

reader.close();
table.close();

这将读取HDFS上的scores.txt文件，并将其中的学生信息插入到HBase表中。您需要将路径和列族、列名对应修改为您的实际情况。