ES随着时间的推移缓慢地填满堆并挂起14 up，而最大的索引是164 up？

Question

我对Elasticsearch有一个问题，在某些时候，它试图连续运行GC，因为这个不能释放，因为堆大小设置为14 GC (min和max)据说是完全分配的：

(...)
[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。

当我看到ES堆，而我们的应用程序工作人员使用ES时，堆内存就会增加，每隔几分钟GC就会运行一次，堆几乎又空了，但不是完全的。慢慢地，在很多天里，堆中似乎没有可用的内存。看起来，如果有内存泄漏，除了在我们的Ruby代码中使用轮胎宝石，因为我们是在谈论ES堆？ES的某些使用模式会使ES泄漏内存吗？

基本上，ES是一个专用服务器，有16 no的RAM，没有副本，有5个索引，每个索引有1个碎片。它与java-1.7.0-openjdk-1.7.0.65-2.5.1.2.el6_5.x86_64，一起运行，使用mlockall，min和max堆都被设置为14 to。服务器上没有其他任何运行。我们使用Elasticsearch 0.90.x，因为Dev团队支付不起替换他们用来连接Ruby工人的轮胎宝石的费用。

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)

最大的索引是products，在Bigdesk中显示为164 in。随着时间的推移，ES如何使用到14 up？

索引元数据有什么问题吗？

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我尝试使用6GB的最小/最大堆大小，但是它表现出相同的行为，只是更快地失去响应。

Answer 1

解决问题：

Dev最终允许我将Elasticsearch更新为1.3.2，此时Java更新为Oracle，Ruby被searchkick取代(因为Dev说API离轮胎更近，官方驱动程序看起来太复杂，无法进行快速转换)。

在默认配置(没有-Xmin和Xmax)的情况下，Elasticsearch不会使用超过320 as的堆，并且应用程序和以前一样正在运行。我将尝试将Xmin和Xmax设置为2GB的静态值，以查看是否看到与前面相同的内存使用模式。