indices.breaker.request.limit熔断时的栈

Elasticsearch | 作者 novia | 发布于2017年09月19日 | 阅读数：7498

RemoteTransportException[[node_xxx.xxx.xxx][xxx.xxx.xxx.xxx:xxxx][indices:data/read/search[phase/query]]]; nested: CircuitBreakingException[[request] Data too large, data for [<reused_arrays>] wo

uld be larger than limit of [5569511424/5.1gb]];

Caused by: CircuitBreakingException[[request] Data too large, data for [<reused_arrays>] would be larger than limit of [5569511424/5.1gb]]

        at org.elasticsearch.common.breaker.ChildMemoryCircuitBreaker.circuitBreak(ChildMemoryCircuitBreaker.java:97)

        at org.elasticsearch.common.breaker.ChildMemoryCircuitBreaker.addEstimateBytesAndMaybeBreak(ChildMemoryCircuitBreaker.java:148)

        at org.elasticsearch.common.util.BigArrays.adjustBreaker(BigArrays.java:396)

        at org.elasticsearch.common.util.BigArrays.validate(BigArrays.java:433)

        at org.elasticsearch.common.util.BigArrays.newDoubleArray(BigArrays.java:640)

        at org.elasticsearch.search.aggregations.metrics.sum.SumAggregator.<init>(SumAggregator.java:58)

        at org.elasticsearch.search.aggregations.metrics.sum.SumAggregator$Factory.doCreateInternal(SumAggregator.java:124)

        at org.elasticsearch.search.aggregations.metrics.sum.SumAggregator$Factory.doCreateInternal(SumAggregator.java:108)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactories.createSubAggregators(AggregatorFactories.java:76)

        at org.elasticsearch.search.aggregations.AggregatorBase.<init>(AggregatorBase.java:69)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.<init>(BucketsAggregator.java:48)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregator.<init>(TermsAggregator.java:141)

        at org.elasticsearch.search.aggregations.bucket.terms.AbstractStringTermsAggregator.<init>(AbstractStringTermsAggregator.java:40)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator.<init>(GlobalOrdinalsStringTermsAggregator.java:79)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash.<init>(GlobalOrdinalsStringTermsAggregator.java:275)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory$ExecutionMode$3.create(TermsAggregatorFactory.java:92)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:243)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactory.asMultiBucketAggregator(AggregatorFactory.java:119)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:196)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactories.createSubAggregators(AggregatorFactories.java:76)

        at org.elasticsearch.search.aggregations.AggregatorBase.<init>(AggregatorBase.java:69)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.<init>(BucketsAggregator.java:48)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregator.<init>(TermsAggregator.java:141)

        at org.elasticsearch.search.aggregations.bucket.terms.AbstractStringTermsAggregator.<init>(AbstractStringTermsAggregator.java:40)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator.<init>(GlobalOrdinalsStringTermsAggregator.java:79)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash.<init>(GlobalOrdinalsStringTermsAggregator.java:275)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory$ExecutionMode$3.create(TermsAggregatorFactory.java:92)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:243)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactory.asMultiBucketAggregator(AggregatorFactory.java:119)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:196)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactories.createSubAggregators(AggregatorFactories.java:76)

        at org.elasticsearch.search.aggregations.AggregatorBase.<init>(AggregatorBase.java:69)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.<init>(BucketsAggregator.java:48)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregator.<init>(TermsAggregator.java:141)

        at org.elasticsearch.search.aggregations.bucket.terms.AbstractStringTermsAggregator.<init>(AbstractStringTermsAggregator.java:40)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator.<init>(GlobalOrdinalsStringTermsAggregator.java:79)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash.<init>(GlobalOrdinalsStringTermsAggregator.java:275)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory$ExecutionMode$3.create(TermsAggregatorFactory.java:92)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:243)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactories.createSubAggregators(AggregatorFactories.java:76)

        at org.elasticsearch.search.aggregations.AggregatorBase.<init>(AggregatorBase.java:69)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.<init>(BucketsAggregator.java:48)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregator.<init>(TermsAggregator.java:141)

        at org.elasticsearch.search.aggregations.bucket.terms.AbstractStringTermsAggregator.<init>(AbstractStringTermsAggregator.java:40)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator.<init>(GlobalOrdinalsStringTermsAggregator.java:79)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory$ExecutionMode$2.create(TermsAggregatorFactory.java:72)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:243)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactories.createTopLevelAggregators(AggregatorFactories.java:87)

        at org.elasticsearch.search.aggregations.AggregationPhase.preProcess(AggregationPhase.java:78)

        at org.elasticsearch.search.query.QueryPhase.execute(QueryPhase.java:104)

        at org.elasticsearch.search.SearchService.loadOrExecuteQueryPhase(SearchService.java:363)

        at org.elasticsearch.search.SearchService.executeQueryPhase(SearchService.java:375)

        at org.elasticsearch.search.action.SearchServiceTransportAction$SearchQueryTransportHandler.messageReceived(SearchServiceTransportAction.java:368)

        at org.elasticsearch.search.action.SearchServiceTransportAction$SearchQueryTransportHandler.messageReceived(SearchServiceTransportAction.java:365)

        at org.elasticsearch.transport.TransportService$4.doRun(TransportService.java:350)

        at org.elasticsearch.common.util.concurrent.AbstractRunnable.run(AbstractRunnable.java:37)

        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

        at java.lang.Thread.run(Thread.java:745)

error.rar

6 个回复

kennywu76 - Wood

赞同来自: novia 、famoss

@novia

我看了下代码，ES里很多计算，包括terms aggregation，都是通过BigArrays这个工具类申请大数组来存放计算数据的。不管申请什么类型数据(long,int,byte, etc..)的数组，都会在实际分配内存之前，调用adjustBreaker()方法，将新申请数组的大小交给breaker service来判断是否应该熔断。

Screen_Shot_2017-09-19_at_14.35_.13_.png

这个方法内部会调用
breaker.addEstimateBytesAndMaybeBreak，传入新申请的数组字节大小，作为一个增量值delta计入总的request的总字节数里面，然后判断是否超过request breaker设置的上限。如果超过则触发一个"<reused_arrays>"类型的异常，也就是你贴的日志里看到的错误信息:

Screen_Shot_2017-09-19_at_14.36_.04_.png

breaker service对于一个node来说是全局的，也就是说这个结点上所有申请的bigarray的内存消耗会进行累计。

另外这些申请的大数组，都是继承自AbstractArray这个抽象类，这个类是releasable的，其close()方法里会调用
bigArrays.adjustBreaker将释放的内存从breaker的记录里减去。

因此breaker是以所有进行中的查询聚合生成持有的bigarrays占用的内存为基础，再将新的内存申请累加上去，判断是否应该触发熔断掉，从而尽量避免内存消耗过大导致结点挂掉。

根据你描述的有一段时间一直熔断的特征，要么是当时一直有大内存消耗的聚合请求在进来，要么是有大聚合耗时非常长，导致申请的bigarrays长时间被占用没有释放，并且接近request breaker临界值，致使新进来的聚合不断的被熔断。重启就好了，可能只是因为释放掉了这些进行中的高消耗查询。

建议下次再遇到问题时，用hot threads api看一下，高消耗的线程在做什么。

PS. 我看的代码是5.6的，不排除早期版本熔断存在一些不完善的地方。

kennywu76 - Wood

导致熔断的是外层一个terms aggs，内部嵌套了一个sum aggs。应该是外层terms aggs的字段唯一值(cardinality)过多，导致生成的bucket过多所致。查一下原始的查询是怎样写的，聚合的字段cardinality有多高，设置的size有多大。

novia - 1&0

这个报错原因确实如你所说，是进行了一个很大的aggs，但之后的查询数据量都非常小，却依然报这个错误，这个就让人很难理解，如异常之后我进行了下面的查询，数据量只有62条，依然会报此错误

{

  "query": {

    "bool": {

      "must": [

        {

          "term": {

            "keywords_code": "3574305971261990"

          }

        },

        {

          "range": {

            "release_date_day": {

              "lte": "2017-09-18",

              "gte": "2017-09-12"

            }

          }

        }

      ]

    }

  },

  "aggs": {

    "a": {

      "terms": {

        "field": "keywords_code"

      }

    }

  }

}

novia - 1&0

不好意思，当时的日志没有及时抓取，执行上面的测试查询后，返回结果为：4个片fail，异常为：
Caused by: CircuitBreakingException[[request] Data too large, data for [<reused_arrays>] would be larger than limit of [5569511424/5.1gb]]
栈信息应该是下面的（抱歉，当时日志没有及时抓到）：

Caused by: CircuitBreakingException[[request] Data too large, data for [<reused_arrays>] would be larger than limit of [5569511424/5.1gb]]

        at org.elasticsearch.common.breaker.ChildMemoryCircuitBreaker.circuitBreak(ChildMemoryCircuitBreaker.java:97)

        at org.elasticsearch.common.breaker.ChildMemoryCircuitBreaker.addEstimateBytesAndMaybeBreak(ChildMemoryCircuitBreaker.java:148)

        at org.elasticsearch.common.util.BigArrays.adjustBreaker(BigArrays.java:396)

        at org.elasticsearch.common.util.BigArrays.validate(BigArrays.java:433)

        at org.elasticsearch.common.util.BigArrays.newLongArray(BigArrays.java:590)

        at org.elasticsearch.common.util.LongHash.<init>(LongHash.java:44)

        at org.elasticsearch.common.util.LongHash.<init>(LongHash.java:38)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash.<init>(GlobalOrdinalsStringTermsAggregator.java:277)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory$ExecutionMode$3.create(TermsAggregatorFactory.java:92)

        at org.elasticsearch.search.aggregations.bucket.terms.TermsAggregatorFactory.doCreateInternal(TermsAggregatorFactory.java:243)

        at org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory.createInternal(ValuesSourceAggregatorFactory.java:64)

        at org.elasticsearch.search.aggregations.AggregatorFactory.create(AggregatorFactory.java:102)

        at org.elasticsearch.search.aggregations.AggregatorFactory$1$1.collect(AggregatorFactory.java:200)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.collectExistingBucket(BucketsAggregator.java:80)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.collectBucket(BucketsAggregator.java:72)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash$2.collect(GlobalOrdinalsStringTermsAggregator.java:312)

        at org.elasticsearch.search.aggregations.AggregatorFactory$1$1.collect(AggregatorFactory.java:208)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.collectExistingBucket(BucketsAggregator.java:80)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$WithHash$2.collect(GlobalOrdinalsStringTermsAggregator.java:310)

        at org.elasticsearch.search.aggregations.AggregatorFactory$1$1.collect(AggregatorFactory.java:208)

        at org.elasticsearch.search.aggregations.bucket.BucketsAggregator.collectExistingBucket(BucketsAggregator.java:80)

        at org.elasticsearch.search.aggregations.bucket.terms.GlobalOrdinalsStringTermsAggregator$2.collect(GlobalOrdinalsStringTermsAggregator.java:130)

        at org.elasticsearch.search.aggregations.LeafBucketCollector.collect(LeafBucketCollector.java:88)

        at org.apache.lucene.search.MultiCollector$MultiLeafCollector.collect(MultiCollector.java:145)

        at org.apache.lucene.search.Weight$DefaultBulkScorer.scoreAll(Weight.java:218)

        at org.apache.lucene.search.Weight$DefaultBulkScorer.score(Weight.java:169)

        at org.apache.lucene.search.BulkScorer.score(BulkScorer.java:39)

        at org.apache.lucene.search.IndexSearcher.search(IndexSearcher.java:772)

        at org.apache.lucene.search.IndexSearcher.search(IndexSearcher.java:486)

        at org.elasticsearch.search.query.QueryPhase.execute(QueryPhase.java:324)

而且还有一个现象，集群从前天开始就有如下的warn

[2017-09-18 00:01:01,315][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569513960 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

[2017-09-18 00:01:01,321][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569513696 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

[2017-09-18 00:01:01,322][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569513776 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

[2017-09-18 00:01:01,323][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569514128 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

[2017-09-18 00:01:01,324][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569513992 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

[2017-09-18 00:01:01,327][WARN ][indices.breaker          ] [node_30.206.179] [request] New used memory 5569513784 [5.1gb] for data of [<reused_arrays>] would be larger than configured breaker: 5569511424 [5.1gb], breaking

error1.rar

novia - 1&0

从这监控看，确实每次请求之后会释放，但是从上面的warn日志看，es为什么会有个监控一直检测这个值呢？难道有一次查询超出后，就会出问题么

weizijun - elasticsearch fan

request的breaker是记录节点实时状态内存分配的使用，如果有内存分配泄露或者程序异常，request的breaker记录就居高不下了。楼主用的监控很好啊，能推荐下吗？

要回复问题请先登录或注册

indices.breaker.request.limit熔断时的栈

6 个回复

发起人

活动推荐

相关问题

问题状态

indices.breaker.request.limit熔断时的栈

与内容相关的链接

6 个回复

发起人

活动推荐

相关问题

问题状态