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Detailed explanation of examples of Java api of hbase access method

黄舟
Release: 2017-09-30 10:06:58
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这篇文章主要介绍了hbase访问方式之java api,需要的朋友可以参考下

Hbase的访问方式

1、Native Java API:最常规和高效的访问方式;

2、HBase Shell:HBase的命令行工具,最简单的接口,适合HBase管理使用;

3、Thrift Gateway:利用Thrift序列化技术,支持C++,PHP,Python等多种语言,适合其他异构系统在线访问HBase表数据;

4、REST Gateway:支持REST 风格的Http API访问HBase, 解除了语言限制;

5、MapReduce:直接使用MapReduce作业处理Hbase数据;

6、使用Pig/hive处理Hbase数据。

常用Java API的用法:

1、加载配置


Configuration config = HBaseConfiguration.create();  
//可以自定义配置,也可以从自定义配置文件中读取 
/*config.set("hbase.zookeeper.property.clientPort", "4181"); 
config.set("hbase.zookeeper.quorum", "hadoop.datanode5.com,hadoop.datanode2.com,hadoop.datanode3.com"); 
config.set("hbase.master", "hadoop.datanode3.com\\:600000");*/
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2、表的创建、表信息修改、表删除


HBaseAdmin admin = new HBaseAdmin(config); 
//创建表 
HTableDescriptor htd = new HTableDescriptor(tableName); 
htd.addFamily(new HColumnDescriptor("cf1")); 
htd.addFamily(new HColumnDescriptor("cf2")); 
admin.createTable(htd); 
//修改表信息 
admin.disableTable(tableName); 
// modifying existing ColumnFamily 
admin.modifyColumn(tableName, new HColumnDescriptor("cf1"));  
admin.enableTable(tableName);  
//删除表 
admin.disableTable(Bytes.toBytes(tableName)); 
admin.deleteTable(Bytes.toBytes(tableName));
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3、添加记录


/** 在多次使用时,建议用HTablePool 
 HTable table = new HTable(config, tableName); 
 => 
 HTablePool pool = new HTablePool(config, 1000); 
 HTableInterface table = pool.getTable(tableName);*/ 
HTable table = new HTable(config, tableName); 
 
/** 
 * 在插入操作时,默认不适用任何缓存 
 * 可自定义使用缓存,以及缓存大小 
 * 每个任务最后需要手工调用 flushCommits(); 
 */ 
/*table.setAutoFlush(false); 
table.setWriteBufferSize(1024);*/ 
 
Put put1 = new Put(Bytes.toBytes(rowKey)); 
if (ts == 0) { 
  put1.add(Bytes.toBytes(family), Bytes.toBytes(qualifier), Bytes.toBytes(value)); 
} else { 
    //自定义版本时,从自定义的版本号,类型为long 
  put1.add(Bytes.toBytes(family), Bytes.toBytes(qualifier), ts,Bytes.toBytes(value)); 
} 
table.put(put1); 
//table.flushCommits();
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4、查询,根据Rowkey查询


Get get1 = new Get(Bytes.toBytes(rowKey)); 
Result result = table.get(get1); 
System.out.println("get result:" + Bytes.toString(result.getValue(Bytes.toBytes(family), Bytes.toBytes(qualifier)))); 
Result[] result = table.get(List<Get>);//查询指定Rowkey的多条记录
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5、查询,指定条件和rowkey区间查询


Scan scan = new Scan(); 
//默认缓存大小为1,设置成一个合理的值,可以减少scan过程中next()的时间开销,代价是客户端的内存 
scan.setCaching(500); 
scan.setCacheBlocks(false); 
//根据startRowKey、endRowKey查询 
//Scan scan = new Scan(Bytes.toBytes("startRowKey"), Bytes.toBytes("endRowKey")); 
//rowKey之外的过滤条件,在List中可以add; 
/**List<Filter> filters = new ArrayList<Filter>(); 
Filter filter = new SingleColumnValueFilter("familyName".getBytes(), 
    "qualifierName".getBytes(), 
    CompareOp.EQUAL, 
    Bytes.toBytes("value")); 
filters.add(filter); 
scan.setFilter(new FilterList(filters));*/ 
ResultScanner scanner = table.getScanner(scan); 
System.out.println("scan result list:"); 
for (Result result : scanner) { 
  System.out.println(Bytes.toString(result.getRow())); 
  System.out.println(Bytes.toString(result.getValue(Bytes.toBytes("data"), Bytes.toBytes("data1")))); 
  System.out.println(Bytes.toString(result.getValue(Bytes.toBytes("data"), Bytes.toBytes("data2")))); 
} 
scanner.close();
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