Part7---Java更新Hbase表的数据

01.原始数据

hbase shell中：

hbase(main):011:0> scan "Gadaite"
ROW                                        COLUMN+CELL
 001                                       column=F1:F11, timestamp=1650130559218, value=F1.F11
 001                                       column=F1:F12, timestamp=1650130559237, value=F1.F12
 001                                       column=F1:_0, timestamp=1650130559292, value=
 001                                       column=F2:F21, timestamp=1650130559268, value=F2.F21
 001                                       column=F2:F22, timestamp=1650130559292, value=F2.F22
 002                                       column=F1:F11, timestamp=1650130559315, value=G1.G11
 002                                       column=F1:F12, timestamp=1650130559331, value=G1.G12
 002                                       column=F1:_0, timestamp=1650130560291, value=
 002                                       column=F2:F21, timestamp=1650130559351, value=G2.G21
 002                                       column=F2:F22, timestamp=1650130560291, value=G2.G22
2 row(s)

phoenix / dbeaver中：

02.使用代码插入数据到Hbase

​ Put put1 = new Put(Bytes.toBytes(“101”));

​ 该参数为指定行键的值，需要先被指定

​ put1.addColumn(Bytes.toBytes(“F1”), Bytes.toBytes(“F11”), Bytes.toBytes(“T1:T11”));

​ 第一个参数为列簇，第二个参数为列簇下的字段，第三个参数为值

​ 与直接在hbase shell上插入有所不同，第一个参数不再需要使用 列簇：字段 的格式指定，否则是插入不进去的，找不到列簇下对应的字段，但是编辑器不会报错。

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;
import java.util.ArrayList;

//  通过put的api向Hbase中写入数据
public class UpsertHbaseData {
    public static void main(String[] args) throws Exception{
        Configuration conf = new Configuration();
        conf.set("hbase.zookeeper.quorum","192.168.1.10:2181");
        Connection conn = ConnectionFactory.createConnection(conf);
        Table gadaite = conn.getTable(TableName.valueOf("Gadaite"));
        ArrayList puts = new ArrayList();
        Put put1 = new Put(Bytes.toBytes("101"));// 行键
        put1.addColumn(Bytes.toBytes("F1"), Bytes.toBytes("F11"), Bytes.toBytes("T1:T11"));//   列簇---字段(不需要再指定列簇)---值
        put1.addColumn(Bytes.toBytes("F1"), Bytes.toBytes("F12"), Bytes.toBytes("T1:T22"));
        put1.addColumn(Bytes.toBytes("F2"), Bytes.toBytes("F21"), Bytes.toBytes("T2:T21"));
        put1.addColumn(Bytes.toBytes("F2"), Bytes.toBytes("F22"), Bytes.toBytes("T2:T22"));
        puts.add(put1);
        gadaite.put(put1);
        gadaite.close();
        conn.close();
    }
}

​ 查看结果：

dbeaver中：

hbase shell中：

hbase(main):012:0> scan "Gadaite"
ROW                                        COLUMN+CELL
 001                                       column=F1:F11, timestamp=1650130559218, value=F1.F11
 001                                       column=F1:F12, timestamp=1650130559237, value=F1.F12
 001                                       column=F1:_0, timestamp=1650130559292, value=
 001                                       column=F2:F21, timestamp=1650130559268, value=F2.F21
 001                                       column=F2:F22, timestamp=1650130559292, value=F2.F22
 002                                       column=F1:F11, timestamp=1650130559315, value=G1.G11
 002                                       column=F1:F12, timestamp=1650130559331, value=G1.G12
 002                                       column=F1:_0, timestamp=1650130560291, value=
 002                                       column=F2:F21, timestamp=1650130559351, value=G2.G21
 002                                       column=F2:F22, timestamp=1650130560291, value=G2.G22
 101                                       column=F1:F11, timestamp=1650132406751, value=T1:T11
 101                                       column=F1:F12, timestamp=1650132406751, value=T1:T22
 101                                       column=F2:F21, timestamp=1650132406751, value=T2:T21
 101                                       column=F2:F22, timestamp=1650132406751, value=T2:T22
3 row(s)
Took 0.0199 seconds

03.插入已有的行键

​ 前面提到过hbase在phoenix上更新和插入的逻辑是：没有进行插入，如果有才进行更新，现在使用Hadoop的Hbase的API试试在该 情况下是否也满足这样的情况

​ 我们将代码中的行键设置成我们已有的值如001，再看执行结果:和hbase shell一致

​

hbase(main):013:0> scan "Gadaite"
ROW                                        COLUMN+CELL
 001                                       column=F1:F11, timestamp=1650132892478, value=T1:T11
 001                                       column=F1:F12, timestamp=1650132892478, value=T1:T22
 001                                       column=F1:_0, timestamp=1650130559292, value=
 001                                       column=F2:F21, timestamp=1650132892478, value=T2:T21
 001                                       column=F2:F22, timestamp=1650132892478, value=T2:T22
 002                                       column=F1:F11, timestamp=1650130559315, value=G1.G11
 002                                       column=F1:F12, timestamp=1650130559331, value=G1.G12
 002                                       column=F1:_0, timestamp=1650130560291, value=
 002                                       column=F2:F21, timestamp=1650130559351, value=G2.G21
 002                                       column=F2:F22, timestamp=1650130560291, value=G2.G22
 101                                       column=F1:F11, timestamp=1650132406751, value=T1:T11
 101                                       column=F1:F12, timestamp=1650132406751, value=T1:T22
 101                                       column=F2:F21, timestamp=1650132406751, value=T2:T21
 101                                       column=F2:F22, timestamp=1650132406751, value=T2:T22
3 row(s)
Took 0.0103 seconds

​ 再执行一遍代码：

​ 数据没变，但是时间戳却改变了

hbase(main):014:0> scan "Gadaite"
ROW                                        COLUMN+CELL
 001                                       column=F1:F11, timestamp=1650132994491, value=T1:T11
 001                                       column=F1:F12, timestamp=1650132994491, value=T1:T22
 001                                       column=F1:_0, timestamp=1650130559292, value=
 001                                       column=F2:F21, timestamp=1650132994491, value=T2:T21
 001                                       column=F2:F22, timestamp=1650132994491, value=T2:T22
 002                                       column=F1:F11, timestamp=1650130559315, value=G1.G11
 002                                       column=F1:F12, timestamp=1650130559331, value=G1.G12
 002                                       column=F1:_0, timestamp=1650130560291, value=
 002                                       column=F2:F21, timestamp=1650130559351, value=G2.G21
 002                                       column=F2:F22, timestamp=1650130560291, value=G2.G22
 101                                       column=F1:F11, timestamp=1650132406751, value=T1:T11
 101                                       column=F1:F12, timestamp=1650132406751, value=T1:T22
 101                                       column=F2:F21, timestamp=1650132406751, value=T2:T21
 101                                       column=F2:F22, timestamp=1650132406751, value=T2:T22
3 row(s)
Took 0.0230 seconds