HBase Filter 过滤器之FamilyFilter详解

永田彬,夜视望远镜,两性情感故事大全

前言：本文详细介绍了 hbase familyfilter 过滤器 java&shell api 的使用，并贴出了相关示例代码以供参考。familyfilter 基于列族进行过滤，在工作中涉及到需要通过hbase 列族进行数据过滤时可以考虑使用它。

一。java api

头部代码

public class familyfilterdemo  {

    private static boolean isok = false;
    private static string tablename = "test";
    private static string[] cfs = new string[]{"f1","f2"};
    private static string[] data = new string[]{"row-1:f1:c1:v1", "row-2:f1:c2:v2", "row-3:f2:c3:v3", "row-4:f2:c4:v4"};

    public static void main(string[] args) throws ioexception {

        mybase mybase = new mybase();
        connection connection = mybase.createconnection();
        if (isok) {
            mybase.deletetable(connection, tablename);
            mybase.createtable(connection, tablename, cfs);
            mybase.putrows(connection, tablename, data); // 造数据
        }
        table table = connection.gettable(tablename.valueof(tablename));
        scan scan = new scan();

中部代码
向右滑动滚动条可查看输出结果。

1. binarycomparator 构造过滤器

        familyfilter familyfilter = new familyfilter(comparefilter.compareop.equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.not_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.greater, new binarycomparator(bytes.tobytes("f1"))); // [row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.greater_or_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2, row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.less, new binarycomparator(bytes.tobytes("f2"))); // [row-1, row-2]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.less_or_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2]

2. binaryprefixcomparator 构造过滤器

        familyfilter familyfilter = new familyfilter(comparefilter.compareop.equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.not_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.greater, new binarycomparator(bytes.tobytes("f1"))); // [row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.greater_or_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2, row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.less, new binarycomparator(bytes.tobytes("f2"))); // [row-1, row-2]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.less_or_equal, new binarycomparator(bytes.tobytes("f1"))); // [row-1, row-2]

3. substringcomparator 构造过滤器

        familyfilter familyfilter = new familyfilter(comparefilter.compareop.equal, new substringcomparator("1")); // [row-1, row-2]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.not_equal, new substringcomparator("f")); // []

4. regexstringcomparator 构造过滤器

        familyfilter familyfilter = new familyfilter(comparefilter.compareop.not_equal, new regexstringcomparator("f")); // []
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.equal, new regexstringcomparator("f")); // [row-1, row-2, row-3, row-4]
        familyfilter familyfilter = new familyfilter(comparefilter.compareop.equal, new regexstringcomparator("2")); // [row-3, row-4]

尾部代码

        scan.setfilter(familyfilter);
        resultscanner scanner = table.getscanner(scan);
        iterator<result> iterator = scanner.iterator();
        linkedlist<string> rowkeys = new linkedlist<>();
        while (iterator.hasnext()) {
            result result = iterator.next();
            string rowkey = bytes.tostring(result.getrow());
            rowkeys.add(rowkey);
        }
        system.out.println(rowkeys);
        scanner.close();
        table.close();
        connection.close();
    }
}

二。shell api

1. binarycomparator 构造过滤器

方式一：

hbase(main):002:0> scan 'test',{filter=>"familyfilter(=,'binary:f1')"}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.1000 seconds

支持的比较运算符：= != > >= < <=，不再一一举例。

方式二：

import org.apache.hadoop.hbase.filter.comparefilter
import org.apache.hadoop.hbase.filter.binarycomparator
import org.apache.hadoop.hbase.filter.familyfilter

hbase(main):006:0> scan 'test',{filter => familyfilter.new(comparefilter::compareop.valueof('equal'), binarycomparator.new(bytes.tobytes('f1')))}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.0350 seconds

支持的比较运算符：less、less_or_equal、equal、not_equal、greater、greater_or_equal，不再一一举例。

推荐使用方式一，更简洁方便。

2. binaryprefixcomparator 构造过滤器

方式一：

hbase(main):007:0> scan 'test',{filter=>"familyfilter(=,'binaryprefix:f1')"}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.0600 seconds

方式二：

import org.apache.hadoop.hbase.filter.comparefilter
import org.apache.hadoop.hbase.filter.binaryprefixcomparator
import org.apache.hadoop.hbase.filter.familyfilter

hbase(main):011:0>  scan 'test',{filter => familyfilter.new(comparefilter::compareop.valueof('equal'), binaryprefixcomparator.new(bytes.tobytes('f1')))}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.0290 seconds

其它同上。

3. substringcomparator 构造过滤器

方式一：

hbase(main):012:0> scan 'test',{filter=>"familyfilter(=,'substring:f1')"}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.0400 seconds

方式二：

import org.apache.hadoop.hbase.filter.comparefilter
import org.apache.hadoop.hbase.filter.substringcomparator
import org.apache.hadoop.hbase.filter.familyfilter

hbase(main):016:0> scan 'test',{filter => familyfilter.new(comparefilter::compareop.valueof('equal'), substringcomparator.new('f1'))}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
2 row(s) in 0.0330 seconds

区别于上的是这里直接传入字符串进行比较，且只支持equal和not_equal两种比较符。

4. regexstringcomparator 构造过滤器

import org.apache.hadoop.hbase.filter.comparefilter
import org.apache.hadoop.hbase.filter.regexstringcomparator
import org.apache.hadoop.hbase.filter.familyfilter

hbase(main):018:0> scan 'test',{filter => familyfilter.new(comparefilter::compareop.valueof('equal'), regexstringcomparator.new('f'))}
row                                              column+cell
 row-1                                           column=f1:c1, timestamp=1588834369334, value=v1
 row-2                                           column=f1:c2, timestamp=1588834369334, value=v2
 row-3                                           column=f2:c3, timestamp=1588834369334, value=v3
 row-4                                           column=f2:c4, timestamp=1588834369334, value=v4
4 row(s) in 0.0600 seconds

该比较器直接传入字符串进行比较，且只支持equal和not_equal两种比较符。若想使用第一种方式可以传入regexstring试一下，我的版本有点低暂时不支持，不再演示了。

注意这里的正则匹配指包含关系，对应底层find()方法。

familyfilter 不支持使用longcomparator比较器，且bitcomparator、nullcomparator 比较器用之甚少，也不再介绍。

查看文章全部源代码请访以下github地址：

https://github.com/zhoupengbo/demos-bigdata/blob/master/hbase/hbase-filters-demos/src/main/java/com/zpb/demos/familyfilterdemo.java

原文地址：https://www.cnblogs.com/zpb2016/p/12865244.html

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