给HBase添加一二级索引,HBase协处理器结合solr

代码如下

package com.hbase.coprocessor;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.NavigableMap;
import java.util.UUID; import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.CoprocessorEnvironment;
import org.apache.hadoop.hbase.client.Durability;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.coprocessor.BaseRegionObserver;
import org.apache.hadoop.hbase.coprocessor.ObserverContext;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment;
import org.apache.hadoop.hbase.regionserver.wal.WALEdit;
import org.apache.hadoop.hbase.util.Bytes;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; /**
* @author:FengZhen
* @create:2018年7月9日
*/
public class HbaseDataSyncSolrObserver extends BaseRegionObserver{
public static Logger log = LoggerFactory.getLogger(HbaseDataSyncSolrObserver.class);
/**
* start
* @param e
* @throws IOException
*/
@Override
public void start(CoprocessorEnvironment e) throws IOException {
} /**
* stop
* @param e
* @throws IOException
*/
@Override
public void stop(CoprocessorEnvironment e) throws IOException {
} /**
* Called after the client stores a value
* after data put to hbase then prepare update builder to bulk Solr
*
* @param e
* @param put
* @param edit
* @param durability
* @throws IOException
*/
@Override
public void postPut(ObserverContext<RegionCoprocessorEnvironment> e, Put put, WALEdit edit, Durability durability) throws IOException {
NavigableMap<byte[], List<Cell>> familyMap = put.getFamilyCellMap();
for (Map.Entry<byte[], List<Cell>> entry : familyMap.entrySet()) {
String id = UUID.randomUUID().toString();
String rowkey = Bytes.toString(CellUtil.cloneRow(entry.getValue().get(0)));
List<String> tags = new ArrayList<String>();
for (Cell cell : entry.getValue()) {
String key = Bytes.toString(CellUtil.cloneQualifier(cell));
if (key.contains("tb_") || key.contains("tm_")) {
tags.add(key);
}
}
if (null == tags || tags.size() <= 0) {
continue;
}
VmMemory vmMemory = new VmMemory();
vmMemory.setId(id);
vmMemory.setRowkey(rowkey);
vmMemory.setTags(tags);
SolrWriter.addDocToCache(vmMemory);
}
}
}

 Solr代码处理如下

package com.hbase.coprocessor;

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.Timer;
import java.util.TimerTask;
import java.util.Vector;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.solr.client.solrj.SolrQuery;
import org.apache.solr.client.solrj.SolrServerException;
import org.apache.solr.client.solrj.impl.CloudSolrClient;
import org.apache.solr.client.solrj.response.QueryResponse;
import org.apache.solr.common.SolrDocument;
import org.apache.solr.common.SolrInputDocument;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; /**
* @author:FengZhen
* @create:2018年7月9日
*/
public class SolrWriter {
public static Logger log = LoggerFactory.getLogger(SolrWriter.class); public static String urlSolr = "node244.qt:2181,node245.qt:2181,node246.qt:2181"; //solr地址 192.168.1.232:2181
public static String defaultCollection = "socialSecurity"; //默认collection tagCollectionHDFS socialSecurity
public static int zkClientTimeOut =20000; //zk客户端请求超时间
public static int zkConnectTimeOut =10000; //zk客户端连接超时间
public static CloudSolrClient cloudSolrClient = null; public static int maxCacheCount = 200; //缓存大小,当达到该上限时提交
public static Vector<VmMemory> cache = null; //缓存
public static Vector<String> cacheRowkey = null;
public static Lock commitLock =new ReentrantLock(); //在添加缓存或进行提交时加�? public static int maxCommitTime = 60*1; //�?大提交时�? static {
Configuration conf = HBaseConfiguration.create();
urlSolr = conf.get("hbase.solr.zklist", "node244.qt:2181,node245.qt:2181,node246.qt:2181"); // 192.168.1.231:2181,192.168.1.232:2181,192.168.1.233:2181
defaultCollection = conf.get("hbase.solr.collection","socialSecurity");
zkClientTimeOut = conf.getInt("hbase.solr.zkClientTimeOut", 10000);
zkConnectTimeOut = conf.getInt("hbase.solr.zkConnectTimeOut", 10000);
maxCacheCount = conf.getInt("hbase.solr.maxCacheCount", 200);
maxCommitTime = conf.getInt("hbase.solr.maxCommitTime", 60*1); log.info("solr init param"+urlSolr+" "+defaultCollection+" "+zkClientTimeOut+" "+zkConnectTimeOut+" "+maxCacheCount+" "+maxCommitTime);
try {
cache=new Vector<VmMemory>(maxCacheCount);
cacheRowkey = new Vector<String>(maxCacheCount);
cloudSolrClient = new CloudSolrClient(urlSolr);
cloudSolrClient.setDefaultCollection(defaultCollection);
cloudSolrClient.setZkClientTimeout(zkClientTimeOut);
cloudSolrClient.setZkConnectTimeout(zkConnectTimeOut);
//启动定时任务,第�?次延�?10执行,之后每隔指定时间执行�?�?
Timer timer=new Timer();
timer.schedule(new CommitTimer(),10*1000,maxCommitTime*1000);
} catch (Exception ex){
ex.printStackTrace();
}
}
/**
* 批量提交
*/
public void inputDoc(List<VmMemory> vmMoneyList) throws IOException, SolrServerException {
if (vmMoneyList == null || vmMoneyList.size() == 0) {
log.info("==========inputDoc:return========");
return;
}
List<SolrInputDocument> doclist= new ArrayList<SolrInputDocument>(vmMoneyList.size());
for (VmMemory vm : vmMoneyList) {
String id = vm.getId();
String rowkey = vm.getRowkey();
List<String> tags = vm.getTags();
log.info("===id={}===rowkey={}=======",id,rowkey);
Set<String> tagSet = new HashSet<String>();
SolrQuery solrQuery = new SolrQuery();
solrQuery.setQuery("rowkey:"+rowkey);
QueryResponse queryResponse = cloudSolrClient.query(solrQuery);
List<SolrDocument> rowkeys = queryResponse.getResults();
SolrInputDocument document = new SolrInputDocument(); if (null != rowkeys && rowkeys.size() > 0) {
for(SolrDocument solrDocument : rowkeys) {
id = (String)solrDocument.get("id");
rowkey = (String)solrDocument.get("rowkey");
List<String> solrTags = (List<String>)solrDocument.get("tags");
tagSet.addAll(solrTags);
}
}
tagSet.addAll(tags);
document.addField("id", id);
document.addField("rowkey", rowkey);
List<String> tagIds = new ArrayList<String>(tagSet);
for (String tagId : tagIds) {
document.addField("tags", tagId);
}
doclist.add(document);
}
cloudSolrClient.add(doclist);
cloudSolrClient.commit(true, true, true);
} /**
* 单条提交
*/
public void inputDoc(VmMemory vm) throws IOException, SolrServerException {
if (vm == null) {
return;
}
SolrInputDocument doc = new SolrInputDocument();
doc.addField("id", vm.getId());
doc.addField("rowkey", vm.getRowkey());
List<String> tags = vm.getTags();
for (String tag:tags) {
doc.addField("tags", tag);
}
cloudSolrClient.add(doc);
cloudSolrClient.commit(true, true, true);
} public void deleteDoc(List<String> rowkeys) throws IOException, SolrServerException {
if (rowkeys == null || rowkeys.size() == 0) {
return;
}
cloudSolrClient.deleteById(rowkeys);
cloudSolrClient.commit(true, true, true);
} public void deleteDoc(String rowkey) throws IOException, SolrServerException {
cloudSolrClient.deleteById(rowkey);
cloudSolrClient.commit(true, true, true);
} /**
* 添加记录到cache,如果cache达到maxCacheCount,则提交
* addDocToCache会在hbase每次插入数据时将记录插入缓存�?
* 并且判断是否达到上限,如果达到则将缓存内�?用数据提交到solr
*/
public static void addDocToCache(VmMemory vmMemory) {
commitLock.lock();
try {
//判断cache中是否有重复的rowkey,有则先提交
if (cacheRowkey.contains(vmMemory.getRowkey())) {
new SolrWriter().inputDoc(cache);
cache.clear();
cacheRowkey.clear();
}
cache.add(vmMemory);
cacheRowkey.add(vmMemory.getRowkey());
if (cache.size() >= maxCacheCount) {
new SolrWriter().inputDoc(cache);
cache.clear();
cacheRowkey.clear();
}
} catch (Exception ex) {
log.info(ex.getMessage());
} finally {
commitLock.unlock();
}
} /**
* 提交定时�?
* CommitTimer 则会每隔�?段时间提交一次,
* 以保证缓存内�?有数据最终写入solr
*/
static class CommitTimer extends TimerTask {
@Override
public void run() {
commitLock.lock();
try {
if (cache.size() > 0) { //大于0则提�?
log.info("timer commit count:"+cache.size());
new SolrWriter().inputDoc(cache);
cache.clear();
cacheRowkey.clear();
}
} catch (Exception ex) {
log.info(ex.getMessage());
} finally {
commitLock.unlock();
}
}
}
}

协处理器使用步骤如下

1.代码打jar包,并上传至HDFS

2.创建HBase表并添加协处理器,如下

hbase(main):002:0> create 'socialSecurityTest','tags','userInfo'
hbase(main):004:0> disable 'socialSecurityTest'
hbase(main):010:0> alter 'socialSecurityTest',METHOD=>'table_att','coprocessor'=>'hdfs://nameservice/user/solr/hbase/observer/HBaseCoprocessor.jar|com.hbase.coprocessor.HbaseDataSyncSolrObserver|1001|collection=tagCollection'
hbase(main):027:0> enable 'socialSecurityTest'

3.测试

hbase(main):016:0> put 'socialSecurityTest','rowkey-1','tags:0_1','1'

此时,可通过HBase日志查看协处理器的处理情况。

没错误的情况下,Solr中应该已经也有数据了

使用过程中出现的问题

2018-07-11 17:06:14,054 INFO  [LruBlockCacheStatsExecutor] hfile.LruBlockCache: totalSize=417.42 KB, freeSize=395.89 MB, max=396.30 MB, blockCount=0, accesses=0, hits=0, hitRatio=0, cachingAccesses=0, cachingHits=0, cachingHitsRatio=0,evictions=8069, evicted=0, evictedPerRun=0.0
2018-07-11 17:06:23,523 ERROR [RpcServer.FifoWFPBQ.priority.handler=19,queue=1,port=16000] master.MasterRpcServices: Region server node231.qt,16020,1531219308266 reported a fatal error:
ABORTING region server node231.qt,16020,1531219308266: The coprocessor com.hbase.coprocesser.HbaseDataSyncEsObserver threw java.lang.NoClassDefFoundError: org/apache/http/entity/mime/content/ContentBody
Cause:
java.lang.NoClassDefFoundError: org/apache/http/entity/mime/content/ContentBody
at com.hbase.coprocesser.SolrUtil.insert(SolrUtil.java:53)
at com.hbase.coprocesser.HbaseDataSyncEsObserver.postPut(HbaseDataSyncEsObserver.java:79)
at org.apache.hadoop.hbase.regionserver.RegionCoprocessorHost$32.call(RegionCoprocessorHost.java:923)
at org.apache.hadoop.hbase.regionserver.RegionCoprocessorHost$RegionOperation.call(RegionCoprocessorHost.java:1660)
at org.apache.hadoop.hbase.regionserver.RegionCoprocessorHost.execOperation(RegionCoprocessorHost.java:1734)
at org.apache.hadoop.hbase.regionserver.RegionCoprocessorHost.execOperation(RegionCoprocessorHost.java:1692)
at org.apache.hadoop.hbase.regionserver.RegionCoprocessorHost.postPut(RegionCoprocessorHost.java:919)
at org.apache.hadoop.hbase.regionserver.HRegion.doMiniBatchMutation(HRegion.java:3413)
at org.apache.hadoop.hbase.regionserver.HRegion.batchMutate(HRegion.java:2986)
at org.apache.hadoop.hbase.regionserver.HRegion.batchMutate(HRegion.java:2928)
at org.apache.hadoop.hbase.regionserver.RSRpcServices.doBatchOp(RSRpcServices.java:748)
at org.apache.hadoop.hbase.regionserver.RSRpcServices.doNonAtomicRegionMutation(RSRpcServices.java:708)
at org.apache.hadoop.hbase.regionserver.RSRpcServices.multi(RSRpcServices.java:2124)
at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ClientService$2.callBlockingMethod(ClientProtos.java:32393)
at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:2141)
at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:112)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:187)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:167)
Caused by: java.lang.ClassNotFoundException: org.apache.http.entity.mime.content.ContentBody
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 18 more

两种解决方式

一、将缺少的jar包放入HBase的lib下

二、添加依赖重新打包即可,依赖如下

<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpmime</artifactId>
<version>4.3.2</version>
</dependency> 

pom添加一下内容

<build>
<finalName>SolrTest</finalName> <plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass></mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>

<dependency>

<groupId>org.apache.httpcomponents</groupId>

<artifactId>httpmime</artifactId>

<version>4.3.2</version>

</dependency>

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