HBase自定义Comparator过滤数值

简介

要自定义HBase的Comparator，需要使用到protoc，可以在下面的链接下载：
protoc新版本下载
protoc2.5版本下载

完整的工程你可以在下面的链接下载：
HBase自定义Comparator实例

proto文件格式

enum Sex{
  MALE = 1;
  FEMALE = 2;
}

message Bean {
    required int32 id = 1;
    required string name = 2;
    optional Sex sex = 3[defalut = MALE];
}

enum关键字定义一个枚举类型，message定义一个类。

1. required: 必须包含该字段一次
2. optional: 包含该字段零次或一次
3. repeated: 该字段可以重复任意多次

字段定义说明：

optional   Sex      sex      = 3       [defalut = MALE];
字段规则  字段类型  字段名称   唯一标识符    可选的选项：默认值

数据默认值:

1. int: 0
2. string: 空字符
3. bool: false
4. enum: 枚举的第一项

定义一个proto文件

syntax = "proto2";

option java_package = "org.curitis.comparator";
option java_outer_classname = "HBaseFilterNumberComparatorProto";
option java_generic_services = true;
option optimize_for = SPEED;

message HBaseFilterNumberComparator {
	required bytes value = 1;    
	required string fieldType = 2;
}

第一行是指定protoc的版本，可以是proto2，也可以是proto3，根据自己需求，因为我使用的是HBase2.0.0版本，依赖的是protoc2.5，所以这里填写proto2。

想要看HBase依赖那个版本的protoc，可以在对应的工程下执行下面的命令：

mvn dependency:tree >> tree.txt

然后在对应的输出文件tree.txt中搜索protoc。

java_package指定生成的包名，java_outer_classname指定输出的类名，如果没有指定，默认使用proto scheme文件的名字。

message是定义要序列化的实体类。

protoc命令

protoc.exe ./HBaseFilterNumberComparatorProto.proto --java_out=./

编译非常简单，指定proto scheme文件，和输出目录就可以了。

自定义比较器

protoc编译生成的HBaseFilterNumberComparatorProto类比较长，我们放在最后，这里我们直接来看自定义比较器。

HBase自定义比较器一般继承ByteArrayComparable类，具体的实现，我们可以参考hBase-common包中已经实现了的LongComparator和BigDecimalComparator。

import com.google.protobuf.ByteString;
import com.google.protobuf.InvalidProtocolBufferException;
import org.apache.hadoop.hbase.exceptions.DeserializationException;
import org.apache.hadoop.hbase.filter.ByteArrayComparable;
import org.apache.hadoop.hbase.util.Bytes;

/**
 * 自定义比较器
 */
public class FilterNumberComparator extends ByteArrayComparable {

	private String fieldType;
	private byte[] data;

	/**
	 * @param value
	 * @param fieldType
	 */
	public FilterNumberComparator(byte[] value, String fieldType) {
		super(value);
		this.fieldType = fieldType.toLowerCase();
		this.data = value;
	}

	@Override
	public byte[] toByteArray() {
		HBaseFilterNumberComparatorProto.HBaseFilterNumberComparator.Builder builder =
                HBaseFilterNumberComparatorProto.HBaseFilterNumberComparator.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 FilterNumberComparator parseFrom(final byte[] bytes) throws DeserializationException {
		HBaseFilterNumberComparatorProto.HBaseFilterNumberComparator proto;
		try {
			proto = HBaseFilterNumberComparatorProto.HBaseFilterNumberComparator.parseFrom(bytes);
		} catch (InvalidProtocolBufferException e) {
			throw new DeserializationException(e);
		}
		return new FilterNumberComparator(proto.getValue().toByteArray(), proto.getFieldType());
	}

	@Override
	public int compareTo(byte[] bytes, int offset, int length) {
		if (fieldType.equalsIgnoreCase("int") || fieldType.equalsIgnoreCase("integer")) {
            int that = Bytes.toInt(bytes, offset, length);
            return Integer.compare(Bytes.toInt(data), that);
		} else if (fieldType.equalsIgnoreCase("float")) {
            float that = Bytes.toFloat(bytes, offset);
            return Float.compare(Bytes.toFloat(data), that);
		} else if (fieldType.equalsIgnoreCase("double")) {
            double that = Bytes.toDouble(bytes, offset);
            return Double.compare(Bytes.toDouble(data),that);
        }
		return 1;
	}
}

具体的业务逻辑在compareTo方法中，上面我们实现了integer、float、double类型的比较。

具体怎样使用这个Comparator呢？

首先需要引入依赖的FilterNumberComparator的jar包

 @Test
public void singleColumnValueFilter() throws IOException {
    Scan scan = new Scan();
    FilterNumberComparator comparator = new FilterNumberComparator(Bytes.toBytes(1100.0),"double");
    byte[] family = "consume".getBytes();
    byte[] column = "total".getBytes();
    SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(
            family,
            column,
            CompareOperator.GREATER,
            comparator);

    singleColumnValueFilter.setFilterIfMissing(true);
    scan.setFilter(singleColumnValueFilter);
    ResultScanner resultScanner = table.getScanner(scan);
    printResultScanner(resultScanner);
}

上面我们就是过滤列簇为consume中的列total的值大于1100的行，一定要注意是1100.0，而不是1100，因为是double类型的，如果是1100，Bytes.toBytes就会把它识别为整型。

运行问题

自定义FilterNumberComparator需要单独打成jar包，放在HBase的lib目录下，如：/usr/local/hbase-2.0.0/lib，如果是集群，注意每一个节点都要放。

然后需要重启HBase：

sudo ./stop-hbase.sh
sudo ./start-hbase.sh

HBaseFilterNumberComparatorProto

// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: HBaseFilterNumberComparatorProto.proto

package org.curitis.comparator;

public final class HBaseFilterNumberComparatorProto {
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    public static HBaseFilterNumberComparator parseFrom(
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        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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    public static Builder newBuilder() { return Builder.create(); }
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    public static Builder newBuilder(HBaseFilterNumberComparator prototype) {
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