dropbox oom

Before the app finishes the test, run through the entire aging phase, including data transmission and dispatch, type adb shell top-m 5 found my app PID occupiedCPU is the most, in fact, I want to say that writing an app is not difficult, you do not have a comprehensive analysis of the memory usage of the app? Avoid problems such as oom, and other possiblecan bring about some of the occasional problems that some estimates a lot of small partners have n

This is a creation in Article, where the information may have evolved or changed. Problem scenario: In the high-frequency system, the agent will issue a flush and pre-cache request to the ATS server, where the request head has get, purge, etc., because the general pre-cache is small files, but one day, suddenly server oom ... The culprit found that the concurrent get large file killed the server. The first version is Python, and the second version is

Slave memory leak and trigger oom-killer, leakoom-killer Bug Description We have this problem: We have set innodb_buffer_pool = 80 GB on both master and slave, master offer usually workload, but slave with nothing workload handle T these slave threads, But with the memory consumption is increasing, after a few days, it uses about 120 GB of memory (RES) and sometime the machine starts swapping out. and in the/var/log/message(Loged:Out of memory: Kill p

, but usually to avoid frequent resizing of heapsize, set-XMS and-XMX values to be the same.-xx:permsize-xx:maxpermsize: Method Area Persistent Generation size: The method area is also globally shared, and under certain conditions it is also GC, and when the method area needs to use more memory than it allows, it throws outofmemory error messages.Common Memory Overflow Error resolution OutOfMemoryError exceptionIn addition to the program counters, several other runtime areas of the virtual m

Android efficiently loads large charts and multi-graph solutions, effectively avoiding program OOM and androidoom The following code shows the maximum memory available for each application. int maxMemory = (int) (Runtime.getRuntime().maxMemory() / 1024); Log.d("TAG", "Max memory is " + maxMemory + "KB"); The BitmapFactory class provides multiple parsing methods (decodeByteArray, decodeFile, decodeResource, etc.) for creating Bitmap objects. We should

Android Application Thread cpu gc Operatiing and OOM Question 0603-notes, operatiing0603- Before the app completes the test, it is okay to finish the entire aging stage, including data sending and receiving. If you type adb shell top-m 5, you will find that the pid occupied by my app The CPU is the most. In fact, it is not difficult to write an app. Have you not fully analyzed the memory usage of the app? Avoid problems such as

I. Introduction to the Volley frameworkbefore this, we need to communicate with the network in the program, the general use of things like Asynctaskloader,httpurlconnection,asynctask,httpclient (Apache), Google At the I/O Conference in 2013, volley was released. Volley is a network communication library on the Android platform that makes network communication faster, simpler, and more robust. Volley provides the request form of jsonobjectrequest, jsonarrayrequeststringrequest, etc.Jsonobjectrequ

Tags: Memory OOM android Article, reference from: http://blog.csdn.net/guolin_blog/article/details/34093441 But its own code has also been modified a lot. I have found many examples on the Internet, but many of them are not very satisfied, 1. Or picture disorder, 2. During the first running, if the rolling load is too fast, or there are infinite threads, 3. Some views are not displayed if they are not buffered and have the same link in

We can see how much memory is available for each application using the following codeint maxmemory = (int) (Runtime.getruntime (). MaxMemory ()/1024); LOG.D ("TAG", "Max memory is" + MaxMemory + "KB");　　Bitmapfactory This class provides multiple parsing methods (Decodebytearray, DecodeFile, Decoderesource, etc.) for creating bitmap objects, and we should choose the appropriate method based on the source of the image. For example, the image on the SD card can use the DecodeFile method, the pictur

]:[xxxxx]mongos/zmodem:297bytes,151 bpsapr2315:01:55localhostkernel:[20387]49720387 69432642793200 0mongosapr2315:01:55 localhostkernel:Outofmemory:Killprocess20387 (MONGOs) score890orsacrificechildapr2315:01:55localhostkernel: Killedprocess20387,UID497, (MONGOs) total-vm:2777304kb,anon-rss : 1711700kb,file-rss:28kB It can be seen that the process was killed by the kernel because of mongos memory overflow.4. Check the MONGOs pull script logTo prevent the MONGOs process from automatically restart

The first time I saw Spark crashSpark Shell Memory Oom phenomenonTo do the spark graph calculation, so with Google's web-google.txt, size 71.8MB.With the command:Val graph = Graphloader.edgelistfile (SC, "Hdfs://192.168.0.10:9000/input/graph/web-google.txt")When the diagram is established, the operation is returned to the console directly after half a day.Interface Xianscala> val graph = Graphloader.edgelistfile (SC, "Hdfs://192.168.0.10:9000/input/gr

sections:while (Rs.next ()) { Linkedmap=newmymapThis code is used to treat each field of the query results of each data special processing, if there are 10,000 records, each record 100 fields, Linkedmap will produce 100W of data, and then Oom, The workaround is to empty the linkedmap at the end (i.e., linkedmap=null), and also to prevent the initialization of the object from affecting the execution of the application in the while loop.This article i

Oom?Java.lang.OutOfMemoryError:java head space heap memory overflowJava.lang.OutOfMemoryError:Permgen Space Java Eternal Overflow, that is, methods to overflow, generally because of the emergence of a large number of classes and JSPs, or the use of Cglib reflection mechanism,This can be resolved by changing the size of the method area and modifying it in the form of a similar-xx:permsize=64m-xx:maxpermsize=256m. In addition, too many constants, especi

Introduction: Online A server specifically for the company's internal apk packaging services, due to the app's business and functionality and increased, APK packaging needs to rely on more and more resources, the last few days each time the APK packaging due to oom caused by the package failure. Because APK packaging business is not online business, but occasionally used, the frequency is basically the same as once a week. So moving the business to an

MySQL OOM Series 3 get rid of the bad luck of MySQL being killed, oommysql In the previous two chapters, we analyzed the Linux memory allocation policy and the Linux OOM_Killer mechanism to solve the risks caused by "oversales". MySQL is the same as other applications, the Innodb_buffer_pool must be smaller than the actual physical memory. Otherwise, MySQL may fail to start. In fact, this is a misunderstanding. This is not controlled by the MySQL laye

Examples Script 1:convert a name into a class code (JAVA naming convention) conversion class name. foreach_part (%Name%, "' _-'")%. Fu:currentpart%.nextThe conversion script would output:Name = Employee Shareholder + Code = Employeeshareholder Script 2:convert a name into a Class attribute code (JAVA naming Convention) conversion property name. Set_value (_first, True, new). Foreach_part (%Name%, "' _-'"). if (%_first%)%. L:currentpart%.set_value (_first,

interrupted due to the following errorError:Execution failed for task ‘:app:dexDebug‘. ... Error Code: 3 Output: UNEXPECTED TOP-LEVEL ERROR: java.lang.OutOfMemoryError: GC overhead limit exceeded at com.android.dx.cf.cst.ConstantPoolParser.parse0(ConstantPoolParser.java:326) ...Add the following code below the Build.gralde android tab to resolvedexOptions { incremental true javaMaxHeapSize "4g" }Slow application StartupBased on our experience, this support library

, example configuration:Mapred-site.xmlset mapreduce.map.memory.mb=1024;set mapreduce.map.java.opts=-xmx819m;set mapreduce.reduce.memory.mb=2048;set mapreduce.reduce.java.opts=-xmx1638m;Yarn-site.xmlset yarn.nodemanager.resource.memory-mb=2048;set yarn.app.mapreduce.am.command-opts=-xmx1638m;This article specifically explains the cause of the problem and the recommended configurationhttp://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.0.9.1/bk_installing_manually_book/content/ rpm-chap1-11.html?t

fileinputstream (environment. getexternalstoragedirectory () + file. separator + "abc.png"); mbitmap = bitmapfactory. decodestream (FS, NUL L, OPT); int width = OPT. outwidth; int Height = OPT. outheight; If (height/width> = 1.6) {// judge the portrait mgestureimageview. setscaletype (imageview. scaletype. center_crop);} else {mgestureimageview. setscaletype (imageview. scaletype. fit_center);} displayimageoptions op = new displayimageoptions. builder (). cacheinmemory (true) // default. build

optimizes the performance and does not fundamentally solve the memory problem. When too many bitmaps are loaded, there will still be a memory overflow problem.2.Use softreference to cache ImagesThe code is not pasted, here there is a detailed implementation method, as well as the introduction of soft reference: http://www.cnblogs.com/dwinter/archive/2012/01/30/2331556.html implementation principle is to establish a softreference used to store pictures and indexes, because softreference is easy