hbase自定义过滤器
1. 下载protobuf-2.5.0解压,如果是window下,额外下载protoc-2.5.0-win32,解压,将protoc.exe放在protobuf-2.5.0下的src目录下
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2. 配置环境变量,添加path路径指向protobuf目录的src中
3. 查看当前版本,在命令提示符中输入命令
4. 创建一个空白的文本文件 命名为 CustomNumberComparator.proto 即 后缀文件类型为proto
5. 用记事本打开CustomNumberComparator.proto文件输入以下内容
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// This file contains protocol buffers that are used for filters
option java_package = "com.pateo.hbase.defined.comparator";//生成java代码的包名
option java_outer_classname = "MyComparatorProtos";//生成的类名
option java_generic_services = true;
option java_generate_equals_and_hash = true;
option optimize_for = SPEED;
// This file contains protocol buffers that are used for comparators (e.g. in filters)
message CustomNumberComparator {
required bytes value = 1; //自定义比较器中需序列化的字段
required string fieldType = 2;//自定义比较器中需序列化的字段
}
6. 进入命令提示符,使用命令读取CustomNumberComparator.proto的内容生成java代码,即自定义比较器的序列化类
内容: protoc.exe -I=C:/proto --java_out=C:/proto C:/proto/CustomNumberComparator.proto
输入后会在指定的/protoc中生成一个文件夹
得到自定义比较器的序列化类
7. 将生成的文件夹拷贝到idea编程工具中,注意粘贴的路径为java下
8. 新建一个自定义过滤器类CustomNumberComparator
9. CustomNumberComparator继承ByteArrayComparable类,重写方法,代码如下
package com.pateo.hbase.defined.comparator;
import org.apache.hadoop.hbase.exceptions.DeserializationException;
import org.apache.hadoop.hbase.filter.ByteArrayComparable;
import org.apache.hadoop.hbase.util.Bytes;
import com.google.protobuf.ByteString;
import com.google.protobuf.InvalidProtocolBufferException;
import java.util.Locale;
/**
* 自定义比较器：使用方法见 CompareTest
*
* @param : fieldType 传递数据格式的类型，支持的数据类型:double
* @param : data 通过Bytes转换得到的字节数组 使用注意事项 : 使用的时候要注意数据类型的匹配问题
*/
public class CustomNumberComparator extends ByteArrayComparable {
/**
* 目前只支持 double类型
*/
private String fieldType;
private byte[] data;
/**
* Constructor
*
* @param value
* @param fieldType
*/
public CustomNumberComparator(byte[] value, String fieldType) {
super(value);
this.fieldType = fieldType;
this.fieldType = "String";//只支持
this.data = value;
}
@Override
// 重写该方法
public byte[] toByteArray() {
MyComparatorProtos.CustomNumberComparator.Builder builder = MyComparatorProtos.CustomNumberComparator
.newBuilder();
builder.setValue(ByteString.copyFrom(this.data));
builder.setFieldType(this.fieldType);
return builder.build().toByteArray();
}
// 定义该方法，用于对象反序列化操作
public static CustomNumberComparator parseFrom(final byte[] bytes)
throws DeserializationException {
MyComparatorProtos.CustomNumberComparator proto = null;
try {
proto = MyComparatorProtos.CustomNumberComparator.parseFrom(bytes);
} catch (InvalidProtocolBufferException e) {
throw new DeserializationException(e);
}
return new CustomNumberComparator(proto.getValue().toByteArray(),
proto.getFieldType());
}
// 重写比较方法 里面就可以按照自己的意愿来实现自己的比较器
@Override
public int compareTo(byte[] bytes, int offset, int length) {
if (fieldType.equalsIgnoreCase("String")) {
String Rowkey = Bytes.toString(bytes, offset, length).toLowerCase(Locale.ROOT);//得到rowkey
String substring1 = Rowkey.substring(1, 5);
String substring2 = Rowkey.substring(17, 22);
String paramValue = byteConvertObj(String.class, this.data);
String[] split = paramValue.split(",");
if (substring1.contains(split[0]) && substring2.contains(split[1])) {
return 0;
} else {
return 1;
}
}
return 1;
}
private <T> T byteConvertObj(Class<T> clazz, byte[] data) { String clazzName = clazz.getSimpleName(); if (clazzName.equalsIgnoreCase("Integer")) { Integer paramValue; try { paramValue = Bytes.toInt(data); } catch (IllegalArgumentException e) { paramValue = Integer.valueOf(Bytes.toString(data)); } return (T) paramValue; } else if (clazzName.equalsIgnoreCase("Long")) { Long paramValue; try { paramValue = Bytes.toLong(data); } catch (IllegalArgumentException e) { paramValue = Long.valueOf(Bytes.toString(data)); } return (T) paramValue; } else if (clazzName.equalsIgnoreCase("Float")) { Float paramValue; try { paramValue = Bytes.toFloat(data); } catch (IllegalArgumentException e) { paramValue = Float.valueOf(Bytes.toString(data)); } return (T) paramValue; } else if (clazzName.equalsIgnoreCase("Double")) { Double paramValue; try { paramValue = Bytes.toDouble(data); } catch (IllegalArgumentException e) { paramValue = Double.valueOf(Bytes.toString(data)); } return (T) paramValue; } else if (clazzName.equalsIgnoreCase("Short")) { Short paramValue; try { paramValue = Bytes.toShort(data); } catch (IllegalArgumentException e) { paramValue = Short.valueOf(Bytes.toString(data)); } return (T) paramValue; } return (T) Bytes.toString(data); } }10.核心内容为compareTo方法的内容,即为过滤的逻辑实现
@Override
public int compareTo(byte[] bytes, int offset, int length) {
if (fieldType.equalsIgnoreCase("String")) {
//HbaseValue是在Hbase上搜索到的一条数据
String HbaseValue = Bytes.toString(bytes, offset, length).toLowerCase(Locale.ROOT);
String substring1 = HbaseValue.substring(1, 5);
String substring2 = HbaseValue.substring(17, 22);
String ClientValue = byteConvertObj(String.class, this.data);//客户端传入的过滤内容
String[] split = ClientValue.split(",");
if (substring1.contains(split[0]) && substring2.contains(split[1])) {//是否需要过滤
return 0;//选择
} else {
return 1;//过滤
}
}
return 1;//过滤
}
11.将这个项目打成jar架包放入hbase根目录中的lib下
选中之后自动打包成jar
将这个架包发送到hbase的lib目录中,重启hbase
12. 使用自定义类查询结果
代码如下
/**
* 过滤器实现了类介绍
* 行键过滤 RowFilter
* 列簇名过滤 FamilyFilter
* 列过滤 QualifierFilter
* 值过滤 ValueFilter
*/
public static void main(String[] args) throws IOException {
long time1 = new Date().getTime();
//分页查询
String page = getPage("00003", 2);//分页查询传入起始位置与返回数量
System.out.println("下一个起始页码" + page);
long time2 = new Date().getTime();
long l = time2 - time1;
System.out.println("[ "+l/1000+" s ]");
}
/**
*
* @param lastRowkey 起始行键
* @param page 页码
* @return 下一次查询的起始行键
* @throws IOException
*/
public static String getPage(String lastRowkey, Integer page) throws IOException {
//配置参数
Configuration conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum", "mini1");
conf.set("hbase.zookeeper.property.clientPort", "2181");
conf.set("hbase.master", "mini1:6000");
//创建查询类
Scan scan = new Scan();
//定义过滤器
Filter filter1 = new RowFilter(CompareFilter.CompareOp.EQUAL, new BinaryPrefixComparator("999".getBytes()));//前缀查询
Filter filter = new RowFilter(CompareFilter.CompareOp.EQUAL, new CustomNumberComparator("99,034".getBytes(),"String"));//包含查询
//过滤器组合
FilterList filterlist = new FilterList();
//filterlist.addFilter(filter1);
//filterlist.addFilter(filter1);
filterlist.addFilter(filter);
//组合查询
scan.setFilter(filterlist);
//scan.setStartRow(lastRowkey.getBytes());//分页查询使用的key为下一个其实位置,需要添加0
long time1 = new Date().getTime();
HTable table = new HTable(conf, "table");
long time2 = new Date().getTime();
System.out.println("创建 HTable:"+(time2-time1)/1000.0+"s");
ResultScanner scanner = table.getScanner(scan);//获取所有结果集
long time3 = new Date().getTime();
System.out.println("获取ResultScanner :"+(time3-time1)/1000.0+"s");
String format = " %-40s%-14s%-35s%-10s";//输出格式
System.out.println(String.format("%-40s%-14s", "ROW", "COLUMN+CELL"));//格式化输出
Long index = 0L;
for (Result res : scanner) {//获取一行数据
index++;
for (Cell cell : res.listCells()) {//获取各个列的值
String row = Bytes.toString(CellUtil.cloneRow(cell));//行键
String value = "value=" + Bytes.toString(CellUtil.cloneValue(cell));//值
String family = Bytes.toString(CellUtil.cloneFamily(cell));//列簇
String col = Bytes.toString(CellUtil.cloneQualifier(cell));//列名
String column = "column=" + family + ":" + col;//列簇与列
String timestamp = "timestamp=" + cell.getTimestamp();//时间戳
System.out.println(String.format(format, row, column, timestamp, value));//格式化输出
}
//lastRowkey = Bytes.toString(res.getRow()) + "0";//给下一次查询起始rowkey位置赋值
}
long time4 = new Date().getTime();
System.out.println(String.format("一共 %d 条数据",index));
System.out.println("输出耗时 :"+(time4-time3)/1000.0+"s");
//防止程序异常,这里需要try-catch关闭连接
scanner.close();
table.close();
//返回下一次查询的起始行键,用于翻页
return lastRowkey;
}
hbase通过网关访问即thrift2 <hbase_home>/bin/hbase thrift2/thrift start 启动
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