MongoDB按ID慢查询 [英] MongoDB Slow query by ID

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本文介绍了MongoDB按ID慢查询的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我最近将MongoDB数据库从Windows Server迁移到了CentOS. 版本是2.4.9. 我注意到我通过_id字段检索记录的速度很慢! 我在周末运行了一个维修数据库,但没有解决问题. 我有这种方法(使用IN运算符)通过其ID(使用spring数据mongodb 1.4.1.RELEASE)检索记录:

I recently migrated my MongoDB database from Windows Server to CentOS. The version is 2.4.9. I noticed that I have a slow retrieval of records by _id field! I ran a repair database over the weekend bu that did not solve the problem. I have this method that retrieves records by their IDs (with IN operator) (using spring data mongodb 1.4.1.RELEASE):

@Override
public Map<String, Record> findAsMapIds(
    final String[] ids,
    final ComponentType... comps
) {
    if( null == ids || 0 == ids.length ) {
        return null;
    }
    Map<String,Record> result = new HashMap<String,Record>();
    final Criteria cr =  where("_id").in( idArrFunction.apply(ids) );
    final Query qry = new Query( cr );
    setFieldsToReturn( qry, comps );
    long start = System.currentTimeMillis();
    List<Record> ritems = getTemplate().find(qry, Record.class);
    long end = System.currentTimeMillis();
    System.out.println( "findAsMapIds()::" + (end-start) );
    for( Record r: ritems ) {
        result.put( r.getId(), r );
    }
    return result;
}

public MongoOperations getTemplate() {
    return template;
}

函数idArrFunction返回ObjectId []的数组

The function idArrFunction returns an array of ObjectId[]

您注意到,我仅在计时数据检索电话. 而且我一次也没有传递超过10个ID. 这是我多次调用此方法时在日志中获得的计时输出:

You notice that I'm timing only the data retrieval call. Also I'm not passing more that 10 ids at a time. Here is the timing output that I'm getting in the logs when I call this method several times:

findAsMapIds()::2092
findAsMapIds()::6666
findAsMapIds()::10007
findAsMapIds()::15132
findAsMapIds()::18341
findAsMapIds()::24709
findAsMapIds()::28731
findAsMapIds()::33888
findAsMapIds()::36862
findAsMapIds()::40206

您注意到,每次调用此方法的时间都会增加.

You notice that the time grows with each call I made to this method.

以下是收集状态:

> db.record.stats();
{
    "ns" : "mydb.record",
    "count" : 1491427,
    "size" : 18292198304,
    "avgObjSize" : 12264.896843090544,
    "storageSize" : 18899890096,
    "numExtents" : 30,
    "nindexes" : 13,
    "lastExtentSize" : 2146426864,
    "paddingFactor" : 1,
    "systemFlags" : 1,
    "userFlags" : 0,
    "totalIndexSize" : 734401024,
    "indexSizes" : {
        "_id_" : 43561728,
        "orgId" : 63192304,
        "type" : 51018240,
        "orgHierarchy" : 63274064,
        "orgHierarchy_mrn" : 75603472,
        "dos" : 25525472,
        "org_pdt" : 77189616,
        "orgHierarchy_processedDtTm" : 77287728,
        "processedDtTm_-1" : 37536016,
        "orgId_states" : 68367712,
        "states" : 27553120,
        "states_1_processedDtTm_-1" : 41624016,
        "orgId_1_states_1_processedDtTm_-1" : 82667536
    },
    "ok" : 1
}

如果我从java中打印出Query对象,我会得到:

If I printout the Query object from java I get this:

Query: { "_id" : { "$in" : [ { "$oid" : "51cbe96dcb81c43374ca9516"} , { "$oid" : "51cbe892cb81c43374ca5e48"} , { "$oid" : "51cbe910cb81c43374ca7aba"} , { "$oid" : "51c00739cb81e6b83ad29d14"} , { "$oid" : "51c06ff4cb81e6b83ad4f69a"} , { "$oid" : "51c07010cb81e6b83ad4f74e"} , { "$oid" : "51c06da5cb81e6b83ad4e775"} , { "$oid" : "51c081bbcb81e6b83ad56437"} , { "$oid" : "51c07fe2cb81e6b83ad557d2"} , { "$oid" : "51c081bbcb81e6b83ad56433"}]}}, Fields: { "text" : 1 , "type" : 1 , "header" : 1 , "orgId" : 1 , "vitals" : 1 , "_id" : 1 , "processedDtTm" : 1 , "orgHierarchy" : 1 }, Sort: null

另外,如果我运行,请解释:

Also if I run explain:

> db.record.find({ "_id" : { "$in" : [ ObjectId("51ba0b43cb81e6b83acd9e6b") , ObjectId("51a8feb5cb8168350e373428") , ObjectId("51a90053cb8168350e373948") , ObjectId("51a901fecb8168350e373e82") , ObjectId("51a8f3e9cb8168350e3711d1") , ObjectId("51a8f3eacb8168350e3711d2") , ObjectId("51a8ff3ecb8168350e3735df") , ObjectId("51a8f59ecb8168350e37172b") , ObjectId("51a8f9aacb8168350e372418") , ObjectId("51a8f786cb8168350e371d42")]}}).explain();
{
    "cursor" : "BtreeCursor _id_ multi",
    "isMultiKey" : false,
    "n" : 10,
    "nscannedObjects" : 10,
    "nscanned" : 18,
    "nscannedObjectsAllPlans" : 10,
    "nscannedAllPlans" : 18,
    "scanAndOrder" : false,
    "indexOnly" : false,
    "nYields" : 0,
    "nChunkSkips" : 0,
    "millis" : 0,
    "indexBounds" : {
        "_id" : [
            [
                ObjectId("51a8f3e9cb8168350e3711d1"),
                ObjectId("51a8f3e9cb8168350e3711d1")
            ],
            [
                ObjectId("51a8f3eacb8168350e3711d2"),
                ObjectId("51a8f3eacb8168350e3711d2")
            ],
            [
                ObjectId("51a8f59ecb8168350e37172b"),
                ObjectId("51a8f59ecb8168350e37172b")
            ],
            [
                ObjectId("51a8f786cb8168350e371d42"),
                ObjectId("51a8f786cb8168350e371d42")
            ],
            [
                ObjectId("51a8f9aacb8168350e372418"),
                ObjectId("51a8f9aacb8168350e372418")
            ],
            [
                ObjectId("51a8feb5cb8168350e373428"),
                ObjectId("51a8feb5cb8168350e373428")
            ],
            [
                ObjectId("51a8ff3ecb8168350e3735df"),
                ObjectId("51a8ff3ecb8168350e3735df")
            ],
            [
                ObjectId("51a90053cb8168350e373948"),
                ObjectId("51a90053cb8168350e373948")
            ],
            [
                ObjectId("51a901fecb8168350e373e82"),
                ObjectId("51a901fecb8168350e373e82")
            ],
            [
                ObjectId("51ba0b43cb81e6b83acd9e6b"),
                ObjectId("51ba0b43cb81e6b83acd9e6b")
            ]
        ]
    },
    "server" : "ip-10-0-0-41:27017"
}

我打开了探查器,这就是我得到的:

I turned on the profiler and this is what I get:

{
   "op":"query",
   "ns":"sytrue.record",
   "query":{
      "_id":{
     "$in":[
        ObjectId("51b1c98dcb81e4c1566b7436"),
        ObjectId("51b1cb3ccb81e4c1566b79ab"),
        ObjectId("51b1d741cb81e4c1566ba219"),
        ObjectId("51b1caa8cb81e4c1566b77d4"),
        ObjectId("51b1c98ccb81e4c1566b7433"),
        ObjectId("51b1c691cb81e4c1566b6a8c"),
        ObjectId("51b1cc21cb81e4c1566b7c9f"),
        ObjectId("51b1c390cb81e4c1566b60c9"),
        ObjectId("51b1d578cb81e4c1566b9c1d"),
        ObjectId("51b1e13dcb81e4c1566bc30e")
     ]
      }
   },
   "ntoreturn":0,
   "ntoskip":0,
   "nscanned":19,
   "keyUpdates":0,
   "numYield":0,
   "lockStats":{
      "timeLockedMicros":{
     "r":NumberLong(380),
     "w":NumberLong(0)
      },
      "timeAcquiringMicros":{
     "r":NumberLong(2),
     "w":NumberLong(4)
      }
   },
   "nreturned":10,
   "responseLength":36745,
   "millis":0,
   "ts":   ISODate("2014-03-24T09:55:20.988   Z"),
   "client":"127.0.0.1",
   "allUsers":[
      {
     "user":"sytrue-user",
     "userSource":"sytrue"
      }
   ],
   "user":"sytrue-user@sytrue"
}

  • 我还注意到,当我通过其ID检索单个记录时,它是 也很慢(使用PagingAndSortingRepository的findd方法).
  • 我不得不提到Windows服务器上没有这个问题.
  • 请有人解释发生了什么事.
    • I also notice that when I retrieve individual record by its ID it is also slow (findOne method of PagingAndSortingRepository).
    • I have to mention that I did not have this problem on the windows server.
    • Please someone explain what's going on.
    • 更新:我注意到返回结果时,CPU被Java代码消耗,而不是mongo服务器进程.所以问题出在mongodb-java驱动程序或spring-data-mongodb

      Update: I noticed that while the results are returned the CPU is consumed by the java code and not mongo server process. So the problem is either in the mongodb-java driver or spring-data-mongodb

      推荐答案

      发现了与MongoDB开发人员聊天的问题: 我运行的是Spring Framework 4.0.0,运行速度与此问题有关:

      Found the problem chatting with a MongoDB developer: I was running spring framework 4.0.0 and the slowness is related to this issue:

      https://jira.spring.io/browse/SPR-11335

      将Spring更新到4.0.1(或更高版本)可以解决此问题.

      Updating Spring to version 4.0.1 (or above) solves the problem.

      这是从我的电话到问题的堆栈跟踪:

      This was the stack trace from my call to the problem:

          at java.lang.Class.getGenericSignature(Native Method)
          at java.lang.Class.getGenericInterfaces(Class.java:813)
          at org.springframework.core.SerializableTypeWrapper$2.getType(SerializableTypeWrapper.java:106)
          at org.springframework.core.SerializableTypeWrapper$TypeProxyInvocationHandler.invoke(SerializableTypeWrapper.java:220)
          at com.sun.proxy.$Proxy5.equals(Unknown Source)
          at org.springframework.util.ObjectUtils.nullSafeEquals(ObjectUtils.java:252)
          at org.springframework.core.ResolvableType.equals(ResolvableType.java:682)
          at org.springframework.util.ObjectUtils.nullSafeEquals(ObjectUtils.java:252)
          at org.springframework.core.ResolvableType.variableResolverSourceEquals(ResolvableType.java:719)
          at org.springframework.core.ResolvableType.equals(ResolvableType.java:683)
          at org.springframework.util.ConcurrentReferenceHashMap$Segment.findInChain(ConcurrentReferenceHashMap.java:571)
          at org.springframework.util.ConcurrentReferenceHashMap$Segment.getReference(ConcurrentReferenceHashMap.java:439)
          at org.springframework.util.ConcurrentReferenceHashMap.getReference(ConcurrentReferenceHashMap.java:238)
          at org.springframework.util.ConcurrentReferenceHashMap.get(ConcurrentReferenceHashMap.java:217)
          at org.springframework.core.ResolvableType.forType(ResolvableType.java:1018)
          at org.springframework.core.ResolvableType.forType(ResolvableType.java:998)
          at org.springframework.core.ResolvableType.getGenerics(ResolvableType.java:489)
          at org.springframework.core.ResolvableType.getGeneric(ResolvableType.java:451)
          at org.springframework.core.convert.TypeDescriptor.getElementTypeDescriptor(TypeDescriptor.java:305)
          at org.springframework.core.convert.TypeDescriptor.equals(TypeDescriptor.java:456)
          at org.springframework.util.ObjectUtils.nullSafeEquals(ObjectUtils.java:252)
          at org.springframework.core.convert.support.GenericConversionService$ConverterCacheKey.equals(GenericConversionService.java:436)
          at java.util.concurrent.ConcurrentHashMap.get(ConcurrentHashMap.java:996)
          at org.springframework.core.convert.support.GenericConversionService.getConverter(GenericConversionService.java:235)
          at org.springframework.core.convert.support.GenericConversionService.convert(GenericConversionService.java:176)
          at org.springframework.core.convert.support.GenericConversionService.convert(GenericConversionService.java:162)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.getPotentiallyConvertedSimpleRead(MappingMongoConverter.java:715)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.readCollectionOrArray(MappingMongoConverter.java:773)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.readValue(MappingMongoConverter.java:1048)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.access$100(MappingMongoConverter.java:77)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter$MongoDbPropertyValueProvider.getPropertyValue(MappingMongoConverter.java:999)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.getValueInternal(MappingMongoConverter.java:755)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter$1.doWithPersistentProperty(MappingMongoConverter.java:256)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter$1.doWithPersistentProperty(MappingMongoConverter.java:249)
          at org.springframework.data.mapping.model.BasicPersistentEntity.doWithProperties(BasicPersistentEntity.java:261)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.read(MappingMongoConverter.java:249)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.read(MappingMongoConverter.java:223)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.read(MappingMongoConverter.java:187)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.read(MappingMongoConverter.java:183)
          at org.springframework.data.mongodb.core.convert.MappingMongoConverter.read(MappingMongoConverter.java:77)
          at org.springframework.data.mongodb.core.MongoTemplate$ReadDbObjectCallback.doWith(MongoTemplate.java:1966)
          at org.springframework.data.mongodb.core.MongoTemplate.executeFindMultiInternal(MongoTemplate.java:1662)
          at org.springframework.data.mongodb.core.MongoTemplate.doFind(MongoTemplate.java:1487)
          at org.springframework.data.mongodb.core.MongoTemplate.doFind(MongoTemplate.java:1471)
          at org.springframework.data.mongodb.core.MongoTemplate.find(MongoTemplate.java:527)
          at org.springframework.data.mongodb.core.MongoTemplate.find(MongoTemplate.java:518)
          at com.sytrue.record.persistence.repo.impl.RecordRepositoryImpl.findAsMapIds(RecordRepositoryImpl.java:139)
      

      这篇关于MongoDB按ID慢查询的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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