一. 问题再现

　　在做某个金融项目时，其中有个服务的流程组水平分库上线后，导致我们组的 xxx-app gc时间过长，在这个机器上 2021-01-26T00:00:00.000+0800 - 2021-01-26T11:00:00.000+0800 gc时间超过1s有482次。

　　二. 异常分析

　　2.1 gc日志

　　我们来查看一下线上服务器的日志文件：

　　cat gc.log.* |grep 'Total time for which application threads'|grep '2021-01-26T'|awk 'BEGIN{FS=" "} { if ($11 > 1) print $0}'|wc -l

　　观察了这台服务器上的gc日志，发现gc时间超过1s的gc，gc时间都消耗在Scan RS阶段

　　2021-01-26T12:45:47.366+0800: 399301.151: Total time for which application threads were stopped: 0.0292893 seconds, Stopping threads took: 0.0004658 seconds 2021-01-26T12:45:47.398+0800: 399301.183: [GC pause (G1 Evacuation Pause) (mixed), 2.0761779 secs] [Parallel Time: 1980.3 ms, GC Workers: 8] [GC Worker Start (ms): Min: 399301184.2, Avg: 399301185.7, Max: 399301186.1, Diff: 1.9] [Ext Root Scanning (ms): Min: 7.1, Avg: 10.3, Max: 12.8, Diff: 5.7, Sum: 82.5] [Update RS (ms): Min: 23.7, Avg: 25.4, Max: 30.9, Diff: 7.3, Sum: 203.6] [Processed Buffers: Min: 14, Avg: 38.4, Max: 76, Diff: 62, Sum: 307] [Scan RS (ms): Min: 1912.8, Avg: 1918.6, Max: 1924.0, Diff: 11.2, Sum: 15349.1] [Code Root Scanning (ms): Min: 0.0, Avg: 1.0, Max: 6.8, Diff: 6.8, Sum: 8.2] [Object Copy (ms): Min: 17.5, Avg: 22.8, Max: 24.8, Diff: 7.2, Sum: 182.7] [Termination (ms): Min: 0.0, Avg: 0.2, Max: 0.2, Diff: 0.2, Sum: 1.2] [Termination Attempts: Min: 1, Avg: 86.1, Max: 113, Diff: 112, Sum: 689] [GC Worker Other (ms): Min: 0.0, Avg: 0.1, Max: 0.1, Diff: 0.1, Sum: 0.5] [GC Worker Total (ms): Min: 1978.1, Avg: 1978.5, Max: 1980.0, Diff: 1.9, Sum: 15827.8] [GC Worker End (ms): Min: 399303164.2, Avg: 399303164.2, Max: 399303164.2, Diff: 0.0] [Code Root Fixup: 0.1 ms] [Code Root Purge: 0.0 ms] [Clear CT: 1.3 ms] [Other: 94.5 ms] [Choose CSet: 0.3 ms] [Ref Proc: 82.9 ms] [Ref Enq: 0.5 ms] [Redirty Cards: 7.6 ms] [Humongous Register: 0.1 ms] [Humongous Reclaim: 0.0 ms] [Free CSet: 0.5 ms] [Eden: 396.0M(396.0M)->0.0B(396.0M) Survivors: 12.0M->12.0M Heap: 5583.9M(8192.0M)->5181.2M(8192.0M)] [Times: user=15.91 sys=0.00, real=2.07 secs] 2021-01-26T12:45:49.475+0800: 399303.260: Total time for which application threads were stopped: 2.0895828 seconds, Stopping threads took: 0.0019140 seconds 2021-01-26T12:45:49.488+0800: 399303.273: Total time for which application threads were stopped: 0.0107491 seconds, Stopping threads took: 0.0003724 seconds

　　xxx-app 机器 gc 超过1s 的次数按天统计，以下是每天的次数统计表：

　　2.2 jvm内存的内容

　　停止xxx-app服务器上的服务，把内存dump下来分析，情况如下图所示：

　　由上面的图可以得到下面的数据：

　　cache使用内存4.5G左右，pf和core组各占2.2G左右，每个group最大存储数量为1千万的key value对，由图可以看到key和value一共2千万，已经到了最大值。 每个key 88字节，每个value 88字节，则1千万的key value对占用内存10000000*88byte=1.67G。再加上387M的map结构，134M的频率统计数组，1.67G+387M+134M大致等于2.2G。

　　2.3 原因猜测

　　那到底是什么原因导致了以上这些问题呢?猜测有如下原因：

　　缓存对象太多了，pf和core 1千万的缓存，key + value 就4千万对象，总共占4G内存。这些key和value分布在不同Region，可能有互相引用，导致RSet很大，Scan RS时间长。

　　三. 解决办法

　　既然现在百泽对以上故障有了大致的猜测方向，我就按如下思路进行解决。

　　3.1 部分机器缓存关停验证

　　在xxx-app增加apollo开关，可以关停指定goup的缓存，通过apollo的灰度发布关停部分机器的缓存，观察这些机器是否gc是正常，redis访问次数是否突增。如果gc正常，对redis访问量增加不大，可以考虑取消java内存缓存

　　3.2 -XX:G1RSetRegionEntries 参数调整

　　Scan RS 时间过长，官方文档推荐调整G1RSetRegionEntries参数，但是具体调整成多少，需要根据服务器的相关调整。 下图是官方文档的说明，大致意思是如果RS时间过长可以跳转该参数

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