ES随着时间的推移慢慢堆积起来，挂在14GB，而最大的索引是164MB？

我有一个与Elasticsearch的问题，在某些时候，它试图连续运行GC，因为这是一个无法释放，因为堆大小设置为14GB（最小和最大）被说成是完全分配的：

(...) [2014-09-18 13:43:45,984][INFO ][monitor.jvm ] [staging02.onldev] [gc][old][1128185][65590] duration [7.1s], collections [1]/[7.2s], total [7.1s]/[9.3h], memory [13.9gb]->[13.9gb]/[13.9gb], all_pools {[young] [532.5mb]->[532.5mb]/[532.5mb]}{[survivor] [ 49.9mb]->[49.6mb]/[66.5mb]}{[old] [13.3gb]->[13.3gb]/[13.3gb]} [2014-09-18 13:43:53,307][INFO ][monitor.jvm ] [staging02.onldev] [gc][old][1128186][65591] duration [7.2s], collections [1]/[7.3s], total [7.2s]/[9.3h], memory [13.9gb]->[13.9gb]/[13.9gb], all_pools {[young] [532.5mb]->[532.5mb]/[532.5mb]}{[survivor] [ 49.6mb]->[49.7mb]/[66.5mb]}{[old] [13.3gb]->[13.3gb]/[13.3gb]} [2014-09-18 13:43:58,647][INFO ][monitor.jvm ] [staging02.onldev] [gc][old][1128187][65592] duration [5.2s], collections [1]/[5.3s], total [5.2s]/[9.3h], memory [13.9gb]->[13.9gb]/[13.9gb], all_pools {[young] [532.5mb]->[532.5mb]/[532.5mb]}{[survivor] [ 49.7mb]->[49.8mb]/[66.5mb]}{[old] [13.3gb]->[13.3gb]/[13.3gb]} 

此时ES没有响应，我们重新启动它

当我观看ES堆时，我们的应用程序工作人员使用ES，堆内存增长，每隔几分钟GC运行一次，堆又几乎清空，但不完全。 多less天慢慢地，堆里似乎没有回忆。 它看起来像是有内存泄漏，除了我们正在谈论ES堆的情况下，在使用Tire gem的Ruby代码中如何呢？ ES的一些使用模式能否使ES泄漏内存？

基本上，ES是一个专用的服务器，每个索引有16GB的RAM，没有副本，5个索引和1个碎片。 它运行java-1.7.0-openjdk-1.7.0.65-2.5.1.2.el6_5.x86_64，使用mlockall，最小和最大堆都设置为14GB。 没有别的东西在服务器上运行。 我们使用Elasticsearch 0.90.x，因为开发团队无法替代他们用来连接Ruby工作人员的Tire gem

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 products size: 164Mi (164Mi) docs: 98,760 (157,138) product_brands size: 4.52Mi (4.52Mi) docs: 5,123 (5,123) product_categories size: 358ki (358ki) docs: 538 (538) store_company_categories size: 389ki (389ki) docs: 4,028 (4,028) stores size: 1.44Mi (1.44Mi) docs: 1,090 (1,090) 

最大的指标是products ，在Bigdesk显示为164MB。 ES如何使用14GB以上？

索引元数据有问题吗？

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index.analysis.filter.french_stop.stopwords.33: en index.analysis.filter.french_stop.stopwords.32: elles index.analysis.filter.french_stop.stopwords.31: elle } mappings: { product_category: { properties: { tags: { analyzer: category_analyzer type: string } ancestry_path: { type: string } name: { analyzer: product_analyzer type: string } leaf?: { type: boolean } category_depth_0: { properties: { tags: { type: string } name: { analyzer: product_analyzer type: string } } } name_suggest: { index_analyzer: nGram_analyzer search_analyzer: whitespace_analyzer type: string } category_depth_3: { properties: { name: { type: string } } } self_and_ancestors_ids: { type: string } depth: { type: integer } category_depth_1: { properties: { tags: { type: string } name: { analyzer: product_analyzer type: string } } } category_depth_2: { properties: { tags: { type: string } name: { analyzer: product_analyzer type: string } } } } } } aliases: [ ] } 

我尝试使用6GB的最小/最大堆大小，但它performance出相同的行为，只是变得迟钝。