One: background

1. Tell a story

Some time ago, a friend wx found me and said that his program had a staged increase in memory. He asked how to solve it. After communicating with his friend, his memory is usually about 5G , and it will soar to 10G+ at some point. The picture is probably like this.

So the next step is to find a way to find him 5-6G is, and talk to windbg.

Two: Windbg analysis

1. Determine whether to host or non-custodial

!address -summary a problem at the hosting level, but for the completeness of the article, we still use 0616cd53179849 and !eeheap -gc take a look.


0:000> !address -summary

--- Usage Summary ---------------- RgnCount ----------- Total Size -------- %ofBusy %ofTotal
Free                                   1164      7f5`58f12000 (   7.958 TB)           99.48%
<unknown>                              6924        a`6de84000 (  41.717 GB)  97.90%    0.51%
Stack                                  1123        0`16340000 ( 355.250 MB)   0.81%    0.00%
Image                                  4063        0`1607d000 ( 352.488 MB)   0.81%    0.00%
Heap                                     71        0`0c9ea000 ( 201.914 MB)   0.46%    0.00%
TEB                                     374        0`002ec000 (   2.922 MB)   0.01%    0.00%
Other                                    13        0`001c6000 (   1.773 MB)   0.00%    0.00%
PEB                                       1        0`00001000 (   4.000 kB)   0.00%    0.00%

--- Type Summary (for busy) ------ RgnCount ----------- Total Size -------- %ofBusy %ofTotal
MEM_PRIVATE                            5423        a`87200000 (  42.111 GB)  98.83%    0.51%
MEM_IMAGE                              7033        0`1e5d6000 ( 485.836 MB)   1.11%    0.01%
MEM_MAPPED                              113        0`01908000 (  25.031 MB)   0.06%    0.00%

--- State Summary ---------------- RgnCount ----------- Total Size -------- %ofBusy %ofTotal
MEM_FREE                               1164      7f5`58f12000 (   7.958 TB)           99.48%
MEM_RESERVE                            4165        8`1b873000 (  32.430 GB)  76.11%    0.40%
MEM_COMMIT                             8404        2`8b86b000 (  10.180 GB)  23.89%    0.12%


0:000> !eeheap -gc
Number of GC Heaps: 32
------------------------------
Heap 0 (00000000004106d0)
generation 0 starts at 0x0000000082eb0e58
generation 1 starts at 0x0000000082d79b20
generation 2 starts at 0x000000007fff1000
ephemeral segment allocation context: none
         segment             begin         allocated              size
000000007fff0000  000000007fff1000  0000000083f80128  0x3f8f128(66646312)
Large object heap starts at 0x000000087fff1000
         segment             begin         allocated              size
000000087fff0000  000000087fff1000  0000000883fe4190  0x3ff3190(67056016)
0000000927ff0000  0000000927ff1000  000000092bfe2430  0x3ff1430(67048496)
0000000a81c50000  0000000a81c51000  0000000a8221c858  0x5cb858(6076504)
Heap Size:               Size: 0xc53ef40 (206827328) bytes.
------------------------------
...
Heap 31 (0000000019c84130)
generation 0 starts at 0x0000000844fc5170
generation 1 starts at 0x0000000844f851f8
generation 2 starts at 0x000000083fff1000
ephemeral segment allocation context: none
         segment             begin         allocated              size
000000083fff0000  000000083fff1000  0000000845171ca0  0x5180ca0(85462176)
Large object heap starts at 0x00000008fbff1000
         segment             begin         allocated              size
00000008fbff0000  00000008fbff1000  00000008fffe2290  0x3ff1290(67048080)
000000094bff0000  000000094bff1000  000000094ea2ebb8  0x2a3dbb8(44293048)
000000096bff0000  000000096bff1000  000000096dbdec00  0x1bedc00(29285376)
Heap Size:               Size: 0xd79d6e8 (226088680) bytes.
------------------------------
GC Heap Size:            Size: 0x1f1986a88 (8348265096) bytes.

From the hexagram, 10G , the managed heap ate up 8.3G . It is obvious that there is a problem with the managed layer. After knowing the general direction, you can go to the managed heap to take a look. According to past experience, the program must have generated a large number of classes. Caused by the object, on the order !dumpheap -stat .


0:000> !dumpheap -stat
Statistics:
              MT    Count    TotalSize Class Name
...
000007fe9ddd5fc0   341280     30032640 System.ServiceModel.Description.MessagePartDescription
000007fe9c4865a0   866349     41584752 System.Xml.XmlDictionaryString
000007fe9defb098   937801     45014448 System.Xml.XmlDictionaryString
000007fe9c66bd28   105052     45086880 System.Collections.Generic.Dictionary`2+Entry[[System.String, mscorlib],[System.Xml.XmlDictionaryString, System.Runtime.Serialization]][]
000007fe9e0f4d20   113299     49050864 System.Collections.Generic.Dictionary`2+Entry[[System.String, mscorlib],[System.Xml.XmlDictionaryString, System.Runtime.Serialization]][]
00000000003c9190    44573    618414438      Free
000007fef8f6c168   428410   1209974642 System.Char[]
000007fef8f4f1b8  2849758   1246912848 System.Object[]
000007fef8f6f058   531963   1670620873 System.Byte[]
000007fef8f6aee0  2368431   2382587716 System.String

It’s really so smooth, and it didn’t hit the past experience. It can be seen that the most occupies are the Byte,String,Char,Object . In fact, these basic types are difficult to investigate. Either constantly use -min, -max to filter or write a script to it. For grouping and sorting, the crappy script is as follows:


"use strict";

/*
   按 mt 对托管堆类型的size进行分组
*/

let platform = 64
let mtlist = ["000007fef8f4f1b8"];
let maxlimit = 100;

function initializeScript() { return [new host.apiVersionSupport(1, 7)]; }
function log(str) { host.diagnostics.debugLog(str + "\n"); }
function exec(str) { log("\n" + str); return host.namespace.Debugger.Utility.Control.ExecuteCommand(str); }
function invokeScript() { for (var mt of mtlist) { groupby_mtsize_inheap(mt); } }

//对某个类型按照size 进行分组
function groupby_mtsize_inheap(mt) {
    var size_group = {};
    var commandText = "!dumpheap -mt " + mt;
    var output = exec(commandText);
    for (var line of output) {
        if (line == "" || line.indexOf("Address") > -1) continue;
        if (line.indexOf("Statistics") > -1) break;
        var size = parseInt(line.substring(Math.ceil(platform / 2) + 1).trim());

        if (!size_group[size]) size_group[size] = 0;

        size_group[size]++;
    }
    show_top10_format(mt, size_group);
}

function show_top10_format(mt, size_group) {
    var maparr = [];

    //转数组
    for (var size in size_group) {
        maparr.push({ "size": size, "count": size_group[size], "totalsize": (size * size_group[size]) });
    }

    maparr.sort(function (a, b) { return b.totalsize - a.totalsize });

    var topTotalSize = 0;

    //按size输出
    for (var i = 0; i < Math.min(maparr.length, maxlimit); i++) {
        var size = maparr[i].size;
        var count = maparr[i].count;
        var totalsize = Math.round(maparr[i].totalsize / 1024 / 1024, 2);

        topTotalSize += totalsize

        log("size=" + size + ",count=" + count + ",totalsize=" + totalsize + "M");
    }

    log("Total:" + topTotalSize + "M");

    //show max
    if (maparr.length > 0) {
        var size = maparr[0].size;
        var totalsize = Math.round(maparr[0].totalsize / 1024 / 1024, 2) + "M";
        var output = exec("!dumpheap -mt " + mt + " -min 0n" + size + " -max 0n" + size + " -short").Take(maxlimit);
        for (var line of output) {
            log(line);
        }
    }
}

Next, pass down the method table address of string to see the sorting result. The simplified output is as follows:


!dumpheap -mt 000007fef8f6aee0
size=29285946,count=2,totalsize=56M
size=29285540,count=2,totalsize=56M
size=29285502,count=2,totalsize=56M
size=29285348,count=2,totalsize=56M
size=27455186,count=2,totalsize=52M
size=31116504,count=1,totalsize=30M
size=31116490,count=1,totalsize=30M
size=31116306,count=1,totalsize=30M
size=31115934,count=1,totalsize=30M
size=31115920,count=1,totalsize=30M
size=31115718,count=1,totalsize=30M
size=29286342,count=1,totalsize=28M
size=29285898,count=1,totalsize=28M
...
Total:1198M

As you can see, there are a lot of large-size strings. What are these strings? Here I will export them to txt to see.


0:000> !dumpheap -mt 000007fef8f6aee0 -min 0n31116490 -max 0n31116490 -short 
0000000a61c51000
0:000> !do 0000000a61c51000 
Name:        System.String
MethodTable: 000007fef8f6aee0
EEClass:     000007fef88d3720
Size:        31116490(0x1daccca) bytes
File:        C:\Windows\Microsoft.Net\assembly\GAC_64\mscorlib\v4.0_4.0.0.0__b77a5c561934e089\mscorlib.dll
String:      <String is invalid or too large to print>

Fields:
              MT    Field   Offset                 Type VT     Attr            Value Name
000007fef8f6dc90  40000aa        8         System.Int32  1 instance         15558232 m_stringLength
000007fef8f6c1c8  40000ab        c          System.Char  1 instance               50 m_firstChar
000007fef8f6aee0  40000ac       18        System.String  0   shared           static Empty
                                 >> Domain:Value  00000000003fb620:NotInit  000000001ca30bd0:NotInit  000000001f7b21a0:NotInit  000000001f8940c0:NotInit  0000000027dc46b0:NotInit  00000000281bd720:NotInit  00000000282b7ee0:NotInit  <<

0:000> .writemem D:\dumps\xxxx\string.txt 0000000a61c51000 L?0x1daccca
Writing 1daccca bytes..........

From the content, it is actually the base64 encoding of pdf. In the same way, we investigated the char[] and byte[] , and found that most of them were also pdf. It is guessed that the program byte[] , char[] , and string during the process of processing pdf, so these In theory, most of the objects are !heapstat -iu you can also see that the 5.5G objects of about 0616cd53179a36 are waiting for GC to collect.


0:000> !heapstat -iu                                        
Heap             Gen0         Gen1         Gen2          LOH                                        
Heap0        17625808      1274680     47745824    140181016                                        
...                                    
Total       357486256     28100616   2229673376   5733004848                                        
                                        
Free space:                                                 Percentage                                        
Heap0         3962240           24     11211224       298616SOH: 22% LOH:  0%                                        
Heap1         5625856          144      9857168       302152SOH: 27% LOH:  0%                                        
...                                    
Heap31        1448576           24     19957312       218024SOH: 25% LOH:  0%                                        
Total       181492784         1136    431825856      5183128                                        
                                        
Unrooted objects:                                           Percentage                                        
Heap0        12163928       243584        42872    137153536SOH: 18% LOH: 97%                                        
...                                    
Heap31         236832       239272      1435840    139770656SOH:  2% LOH: 99%                                        
Total       164954952      7948448     29066480   5530423784                                        

Three: Summary

memory is that the program has received too many 1616cd53179aae pdf files from the upstream. After all, these are large objects, and the char[], string, byte[] switch has also been performed, which causes the size to be too large in a short period of time. Memory footprint.

The last is my personal solution proposal:

  1. For a large number of pdfs, can you borrow third-party oss software to avoid unnecessary memory usage?
  2. Whether the cleaning service can be used to limit the current or use the service sharing method.

Later, I heard from a friend that he did screening and filtering and some business process optimization to solve this problem. I think many friends must have encountered this kind of problem in reality. Welcome to leave a message to supplement your solution.


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