HBase学习——4.HBase过滤器
1.过滤器
基础API中的查询操作在面对大量数据的时候是非常苍白的，这里Hbase提供了高级的查询方法：Filter。Filter可以根据簇、列、版本等更多的条件来对数据进行过滤，基于Hbase本身提供的三维有序（主键有序、列有序、版本有序），这些Filter可以高效的完成查询过滤的任务。带有Filter条件的RPC查询请求会把Filter分发到各个RegionServer，是一个服务器端（Server-side）的过滤器，这样也可以降低网络传输的压力。
要完成一个过滤的操作，至少需要两个参数。一个是抽象的操作符，Hbase提供了枚举类型的变量来表示这些抽象的操作符：LESS/LESS_OR_EQUAL/EQUAL/NOT_EUQAL等；另外一个就是具体的比较器（Comparator），代表具体的比较逻辑，如果可以提高字节级的比较、字符串级的比较等。有了这两个参数，我们就可以清晰的定义筛选的条件，过滤数据。
1.1 抽象操作符（比较运算符）
LESS <
LESS_OR_EQUAL <=
EQUAL =
NOT_EQUAL <>
GREATER_OR_EQUAL >=
GREATER >
NO_OP 排除所有
1.2 比较器（指定比较机制）
BinaryComparator 按字节索引顺序比较指定字节数组，采用 Bytes.compareTo(byte[])
BinaryPrefixComparator 跟前面相同，只是比较左端的数据是否相同
NullComparator 判断给定的是否为空
BitComparator 按位比较
RegexStringComparator 提供一个正则的比较器，仅支持 EQUAL 和非 EQUAL
SubstringComparator 判断提供的子串是否出现在 value 中
2.HBase过滤器的分类
2.1 比较过滤器
2.1.1 行键过滤器 RowFilter
Filter rowFilter = new RowFilter(CompareOp.GREATER, new BinaryComparator("95007".getBytes()));
scan.setFilter(rowFilter);
public class HbaseFilterTest {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
Filter rowFilter = new RowFilter(CompareOp.GREATER, new BinaryComparator("95007".getBytes()));
scan.setFilter(rowFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(cell);
}
}
}
}
运行结果部分截图
2.1.2 列簇过滤器 FamilyFilter
Filter familyFilter = new FamilyFilter(CompareOp.EQUAL, new BinaryComparator("info".getBytes()));
scan.setFilter(familyFilter);
public class HbaseFilterTest {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
Filter familyFilter = new FamilyFilter(CompareOp.EQUAL, new BinaryComparator("info".getBytes()));
scan.setFilter(familyFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(cell);
}
}
}
}
2.1.3 列过滤器 QualifierFilter
Filter qualifierFilter = new QualifierFilter(CompareOp.EQUAL, new BinaryComparator("name".getBytes()));
scan.setFilter(qualifierFilter);
public class HbaseFilterTest {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
Filter qualifierFilter = new QualifierFilter(CompareOp.EQUAL, new BinaryComparator("name".getBytes()));
scan.setFilter(qualifierFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(cell);
}
}
}
}
2.1.4 值过滤器 ValueFilter
Filter valueFilter = new ValueFilter(CompareOp.EQUAL, new SubstringComparator("男"));
scan.setFilter(valueFilter);
public class HbaseFilterTest {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
Filter valueFilter = new ValueFilter(CompareOp.EQUAL, new SubstringComparator("男"));
scan.setFilter(valueFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(cell);
}
}
}
}
2.1.5 时间戳过滤器 TimestampsFilter
List<Long> list = new ArrayList<>();
list.add(1522469029503l);
TimestampsFilter timestampsFilter = new TimestampsFilter(list);
scan.setFilter(timestampsFilter);
public class HbaseFilterTest {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
List<Long> list = new ArrayList<>();
list.add(1522469029503l);
TimestampsFilter timestampsFilter = new TimestampsFilter(list);
scan.setFilter(timestampsFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(Bytes.toString(cell.getRow()) + "\t" + Bytes.toString(cell.getFamily()) + "\t" + Bytes.toString(cell.getQualifier())
+ "\t" + Bytes.toString(cell.getValue()) + "\t" + cell.getTimestamp());
}
}
}
}
2.2 专用过滤器
2.2.1 单列值过滤器 SingleColumnValueFilter
会返回满足条件的整行
SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(
"info".getBytes(), //列簇
"name".getBytes(), //列
CompareOp.EQUAL,
new SubstringComparator("刘晨"));
//如果不设置为 true，则那些不包含指定 column 的行也会返回
singleColumnValueFilter.setFilterIfMissing(true);
scan.setFilter(singleColumnValueFilter);
public class HbaseFilterTest2 {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(
"info".getBytes(),
"name".getBytes(),
CompareOp.EQUAL,
new SubstringComparator("刘晨"));
singleColumnValueFilter.setFilterIfMissing(true);
scan.setFilter(singleColumnValueFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(Bytes.toString(cell.getRow()) + "\t" + Bytes.toString(cell.getFamily()) + "\t" + Bytes.toString(cell.getQualifier())
+ "\t" + Bytes.toString(cell.getValue()) + "\t" + cell.getTimestamp());
}
}
}
}
2.2.2 单列值排除器 SingleColumnValueExcludeFilter
SingleColumnValueExcludeFilter singleColumnValueExcludeFilter = new SingleColumnValueExcludeFilter(
"info".getBytes(),
"name".getBytes(),
CompareOp.EQUAL,
new SubstringComparator("刘晨"));
singleColumnValueExcludeFilter.setFilterIfMissing(true);
scan.setFilter(singleColumnValueExcludeFilter);
public class HbaseFilterTest2 {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
SingleColumnValueExcludeFilter singleColumnValueExcludeFilter = new SingleColumnValueExcludeFilter(
"info".getBytes(),
"name".getBytes(),
CompareOp.EQUAL,
new SubstringComparator("刘晨"));
singleColumnValueExcludeFilter.setFilterIfMissing(true);
scan.setFilter(singleColumnValueExcludeFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(Bytes.toString(cell.getRow()) + "\t" + Bytes.toString(cell.getFamily()) + "\t" + Bytes.toString(cell.getQualifier())
+ "\t" + Bytes.toString(cell.getValue()) + "\t" + cell.getTimestamp());
}
}
}
}
2.2.3 前缀过滤器 PrefixFilter----针对行键
PrefixFilter prefixFilter = new PrefixFilter("9501".getBytes());
scan.setFilter(prefixFilter);
public class HbaseFilterTest2 {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
PrefixFilter prefixFilter = new PrefixFilter("9501".getBytes());
scan.setFilter(prefixFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(Bytes.toString(cell.getRow()) + "\t" + Bytes.toString(cell.getFamily()) + "\t" + Bytes.toString(cell.getQualifier())
+ "\t" + Bytes.toString(cell.getValue()) + "\t" + cell.getTimestamp());
}
}
}
}
2.2.4 列前缀过滤器 ColumnPrefixFilter
ColumnPrefixFilter columnPrefixFilter = new ColumnPrefixFilter("name".getBytes());
scan.setFilter(columnPrefixFilter);
public class HbaseFilterTest2 {
private static final String ZK_CONNECT_KEY = "hbase.zookeeper.quorum";
private static final String ZK_CONNECT_VALUE = "hadoop1:2181,hadoop2:2181,hadoop3:2181";
private static Connection conn = null;
private static Admin admin = null;
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
conf.set(ZK_CONNECT_KEY, ZK_CONNECT_VALUE);
conn = ConnectionFactory.createConnection(conf);
admin = conn.getAdmin();
Table table = conn.getTable(TableName.valueOf("student"));
Scan scan = new Scan();
ColumnPrefixFilter columnPrefixFilter = new ColumnPrefixFilter("name".getBytes());
scan.setFilter(columnPrefixFilter);
ResultScanner resultScanner = table.getScanner(scan);
for(Result result : resultScanner) {
List<Cell> cells = result.listCells();
for(Cell cell : cells) {
System.out.println(Bytes.toString(cell.getRow()) + "\t" + Bytes.toString(cell.getFamily()) + "\t" + Bytes.toString(cell.getQualifier())
+ "\t" + Bytes.toString(cell.getValue()) + "\t" + cell.getTimestamp());
}
}
}
}
HBase学习——4.HBase过滤器的更多相关文章
- Hbase 学习(一) hbase配置文件同步
最近在狂啃hadoop的书籍,这部<hbase:权威指南>就进入我的视野里面了,啃吧,因为是英文的书籍,有些个人理解不对的地方,欢迎各位拍砖. HDFS和Hbase配置同步 hbase的配 ...
- HBase 学习之一 <<HBase使用客户端API动态创建Hbase数据表并在Hbase下导出执行>>
HBase使用客户端API动态创建Hbase数据表并在Hbase下导出执行 ----首先感谢网络能够给我提供一个开放的学习平台,如果没有网上的技术爱好者提供 ...
- HBase学习——3.HBase表设计
1.建表高级属性 建表过程中常用的shell命令 1.1 BLOOMFILTER 默认是 NONE 是否使用布隆过虑及使用何种方式,布隆过滤可以每列族单独启用 使用HColumnDescriptor. ...
- HBase学习笔记-HBase性能研究(1)
使用Java API与HBase集群交互时,需要构建HTable对象,使用该对象提供的方法来进行插入/删除/查询等操作.要创建HTable对象,首先要创建一个带有HBase集群信息的配置对象Confi ...
- Hbase学习（三）过滤器 java API
Hbase学习(三)过滤器 HBase 的基本 API,包括增.删.改.查等. 增.删都是相对简单的操作,与传统的 RDBMS 相比,这里的查询操作略显苍白,只能根据特性的行键进行查询(Get)或者根 ...
- HBase学习系列
转自:http://www.aboutyun.com/thread-8391-1-1.html 问题导读: 1.hbase是什么? 2.hbase原理是什么? 3.hbase使用中会遇到什么问题? 4 ...
- 《HBase in Action》 第二章节的学习总结 ---- HBase基本组成
准备工作:采用的HBase版本是:CDH4.5,其中的Hadoop版本是:hadoop-2.0.0-cdh4.5.0:HBase版本是:hbase-0.94.6-cdh4.5.0: Hbase的配置文 ...
- 最近学习了HBase
HBase是什么 最近学习了HBase,正常来说写这篇文章,应该从DB有什么缺点,HBase如何弥补DB的缺点开始讲会更有体感,但是本文这些暂时不讲,只讲HBase,把HBase相关原理和使用讲清楚, ...
- HBase学习与实践
Photo by bealach verse on Unsplash 参考书籍:<HBase 权威指南> -- Lars George著. 文章为个人从零开始学习记录,如有错误,还请不吝赐 ...
随机推荐
- Linux环境下Hadoop集群搭建
Linux环境下Hadoop集群搭建 前言: 最近来到了武汉大学,在这里开始了我的研究生生涯.昨天通过学长们的耐心培训,了解了Hadoop,Hdfs,Hive,Hbase,MangoDB等等相关的知识 ...
- JavaOOP笔记
http://note.youdao.com/noteshare?id=bbdc0b970721e40d327db983a2f96371
- NOIP2008 立体图
题目描述 小渊是个聪明的孩子,他经常会给周围的小朋友们将写自己认为有趣的内容.最近,他准备给小朋友们讲解立体图,请你帮他画出立体图. 小渊有一块面积为m*n的矩形区域,上面有m*n个边长为1的格子,每 ...
- 为什么在Python里推荐使用多进程而不是多线程？
最近在看Python的多线程,经常我们会听到老手说:“Python下多线程是鸡肋,推荐使用多进程!”,但是为什么这么说呢? 要知其然,更要知其所以然.所以有了下面的深入研究: 首先强调背景: 1. ...
- Rectangular Covering [POJ2836] [状压DP]
题意 平面上有 n (2 ≤ n ≤ 15) 个点,现用平行于坐标轴的矩形去覆盖所有点,每个矩形至少盖两个点,矩形面积不可为0,求这些矩形的最小面积. Input The input consists ...
- .Net Core 部署 CentOs7+Nginx
先爆图 由于是初学者,部署出来这个界面也不容易,此前第一步弄了个这个出来 动态的没问题,然后静态资源死活就是不出来,弄了两个小时没有结果,带着遗憾睡了个觉 试验1: server { listen ; ...
- C#相对路径
1. 根目录 .\\ 或者直接给出文件名称,是找根目录的路径. 如:path = "gs.mdb" 与 path = ".\\gs.mdb"是一个意思. 2. ...
- getMemory的经典例子
//NO.1:程序首先申请一个char类型的指针str,并把str指向NULL(即str里存的是NULL的地址,*str为NULL中的值为0),调用函数的过程中做了如下动作:1申请一个char类型的指 ...
- 权限系统设计-day02
练习中的问题: 1,<s:url action="employee_input" />这个标签用来让struts自动生成请求的路径,struts生成的路径是一个全路径, ...
- easyui自定义皮肤及缺陷修改
引言: 一个商业项目的需要,又因为时间紧迫的关系,准备购买一套简洁,易用,可定制化强的UI,经过对国内外多家UI产品进行了对比, 包括:FineUI, EasyUI, EXT.NET, EXTJS, ...