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The use of the timeline tool for chrome rendering analytics

current display of the refresh rate is 60Hz, then our page can be drawn at a frequency of 60 frames per second is the best, because the software frame and hardware refresh frequency consistent, the page can give a very smooth feeling, otherwise you will feel very card, so we have about 16.6ms (1000/ 60) to complete the rendering of each frame, which is what many people call "16.6ms" Optimization .The gray area is a bit difficult to understand, you can understand is the browser internal C + + so

Spark advanced data Analytics in Chinese-reader communication

Note:1. The second chapter of this book the sample data because of the short link, the domestic users may not be able to download. I copied the data set to the Baidu network disk. You can download from this place:Http://pan.baidu.com/s/1pJvjHA7Thank you reader Mr. Qian for pointing out the problem.2.P11, remember to set the Log4j.properties file, change the log level to warn, or the output may not look the same: there are many info!Errata1.2nd Chapter P16 The beginning of the page, "Create an RD

Redis Application Analytics

the specific consumption business, and throws the Rollbackexception exception indicates, the message consumes the failure, needs to rollback, then pushes back from the left to the queue, guarantees the next time to be consumed by the first1 /** 2 * Created by Xiao on 2016/5/20. 3 */ 4 Public Interface Icustomer {56 void throws rollbackexception; 7 8 }View CodeThe business of consuming messages needs to implement Icustomer's customer approach, consuming messages1 /**2 * Rollback Exception3

SSAS Analytics Service role-based dynamic authorization

other unauthorized cells (show N/a when accessed). Key point two: StrToTuple ("[Product].[ Account].["+lcase (UserName) +"] "), This is used to control the use of the dimension when only the authorized dimension is displayed, the other dimensions will not be displayed (because the data displayed is N/a) Note Enable, so that total is the authorized total instead of the real total. Here, the function is set up.Test tip:Using the cube's browser (Browser) to test role-bas

High-performance Server analytics-Rpcserver of Hadoop

collects the request queue for a long time, the whole communication must deteriorate, so this is a typical time to need concurrency, the context of this moment of the switch is necessary, not tangled, concurrency.Responder is single-threaded, obviously, responder will be more relaxed, because although the request is many, but after the Reader->handler buffer and handler processing time, the last batch can send the result has been sent. Responder more is to collect and process those long results

The mutex for Android analytics

); Pthread_mutexattr_setpshared (attr, pthread_process_shared); Pthread_mutex_init (mmutex, attr); Pthread_mutexattr_destroy (AMP;ATTR); } else {pthread_mutex_init (mmutex, NULL);//if branch: Lock}}inline in this process Mutex::~mutex () {Pthread_mutex_destroy (mmutex);} Inline status_t Mutex::lock () {return-pthread_mutex_lock (mmutex);} inline void Mutex::unlock () {pthread_mutex_unlock (mmutex);} Inline status_t Mutex::trylock () {return-pthread_mutex_trylock (mmutex);} #endi

SunFlower mobile analytics enables full application escort !, Sunflower statistical analysis

SunFlower mobile analytics enables full application escort !, Sunflower statistical analysisThe rapid development of mobile Internet has led to the birth of many apps. At the same time, many apps have died of operational decision-making mistakes due to lack of real-time data. In order to allow developers to control the development of applications in real time, there have been companies dedicated to providing application statistical analysis services a

November 15-16, 2014 marketing analytics-Shanghai Training

-face, and use vivid data examples to explain how SPSS data analysis is applied in all aspects of the Marketing Department. This training The data problems and solutions that occur in the marketing department are explained in combination with a wide range of cases to ensure that you can quickly apply them to your actual work after training. Registration link: http://www.databridge.com.cn/html/8169574138.html Registration Method: 1. Email registration:[Email protected] (Name, company

Install Web services and analytics services

=" Wkiol1lhq12tmobmaaanyjcovke164.png "/>To configure, first enter the Web service's main configuration file650) this.width=650; "src=" Https://s3.51cto.com/wyfs02/M01/9B/51/wKiom1lhq3-ip10EAABW4CbtjE4829.png "title=" 14. PNG "alt=" Wkiom1lhq3-ip10eaabw4cbtje4829.png "/>Some of these direct returns are allowed by defaultEnter the " Domain name " to be analyzed650) this.width=650; "src=" Https://s3.51cto.com/wyfs02/M01/9B/51/wKiom1lhq7mxsUncAABJAvlLsmo807.png "title=" 15. PNG "alt=" Wkiom1lhq7mxs

Linux analytics Apache logs get the top 10 IP access

more than 100 times in the log#cat Access_log | Cut-d '-F 7 | Sort |uniq-c | awk ' {if (>) print $} ' | LessStatistics a URL, the number of visits per day#cat access_log|grep ' 12/aug/2009 ' |grep '/images/index/e1.gif ' |wc|awk ' {print $} 'Most visited pages in the first five days#cat Access_log|awk ' {print $7} ' |uniq-c |sort-n-r|head-20See what the IP is doing in the log.#cat Access_log | grep 218.66.36.119| awk ' {print ' \ t ' $7} ' | Sort | uniq-c | Sort-nr | LessList files that have be

Android Memory Management Analytics

there is red-green blindness, you can choose the last item. After the click, the interface is as follows, according to the above-mentioned rendering level, Genymotion's interface does quite well:Next, start our project:First you'll notice that the title of the app is over-drawn. Why does it lead to this? Because at the time of drawing, the theme of the app first adds a layer of background to the entire interface. We can remove this background and add it in the OnCreate () method:getWindow().set

Android Asynctask Analytics Internal implementation

5 Public synchronized voidExecuteFinalRunnable R) { 6Mtasks.offer (NewRunnable () {7 Public voidrun () {8 Try { 9 R.run (); Ten}finally { One Schedulenext (); A } - } - }); the if(Mactive = =NULL) { - Schedulenext (); - } - } + - protected synchronized voidSchedulenext () { + if((mactive = Mtasks.poll ())! =NULL) { A Thread_pool_execut

3.4 Web Analytics Algorithms

under the variousThe level of the page. Therefore, it is simpler and more efficient than the algorithm based on the granularity of web pages, but it will bring some missingPoints, such as accuracy, are less accurate than web page granularity based analysis algorithms.3 Web page analysis algorithm based on Web contentIn the Web page analysis algorithm based on Web content, the Web page will be based on the data, text and other Web content characteristics,Evaluation of the response.Master if ther

APP Log Analytics

process for a period of time.Search data from top to bottom with ANR in filter dataANR needs to commit the log file : Logcat (after use from ANR in +cpu) +trace.txt (last ANR information saved)7. Multiple ANR: Direct the DATA_APP_ANR under Dropbox to the developerCollect exception information (including ANR) over a period of time via Dropbox/data/system/dropboxData_app is a third-party app8.APP exception occurredL First determine if it is a crash or a non-responsive ANR (based on the dialog box

Linux kernel Analytics Job (1)-How does a computer work?

,%esp;subtract the value of ESP by 4 bytes, that is, the stack grows downward by a segment -MOVL $8, (%ESP);assign 8 to the stack space that the ESP points to - PagerF;jump into function f, turn to F-segment code, at which point the EIP points to function f -Addl $1,%eax;Add a value of EAX to 1 and save it in eax, at which time eax = - Leave ;The value of EBP is assigned to ESP, then the ESP will point to the end of stack 0, then the EBP will be out of the stack, and

Linux analytics logs get the top 10 IP for most accesses

$7} ' | Sort | uniq-c | Sort-nr | LessView pages that have been accessed more than 100 times in the log#cat Access_log | Cut-d '-F 7 | Sort |uniq-c | awk ' {if (>) print $} ' | LessStatistics a URL, the number of visits per day#cat Access_log | grep ' 12/aug/2009 ' | grep '/images/index/e1.gif ' | WC | awk ' {print '} 'Most visited pages in the first five days#cat Access_log | awk ' {print $7} ' | uniq-c | Sort-n-R | Head-20See what the IP is doing in the log.#cat Access_log | grep 218.66.36.11

"Linux Drive Analytics" Misc device drivers

Misc Device driver. Also known as hybrid device driver.Misc Device driver shares a device driver number misc_major. It is defined in Include\linux\major.h: #define MISC_MAJOR the structure of the miscdevice is as follows, itDefined in Include\linux\miscdevice.h:struct Miscdevice {int minor;const char *name;const struct File_operations *fops;struct List_head list;struct device *parent;struct device *this_device;const char *nodename;mode_t mode;};Misc Device-driven registration and logoff with the

"Python data analytics Combat" 7 Matplotlib

DrawingPlt.axis ([0,5,0,20]): Coordinate rangePlt.title (' PLOT ', fontsize=20): Picture titlePlt.xlable (' Row '): Row headerPlt.ylable (' COL '): column headerPlt.text (' text '): Write text in the specified coordinatesPlt.grid (True): Draw MeshPlt.plot (x, y): Line chartPlt.plot (x, Y, '-'): Line chartPlt.plot (x, y, ' o '): Scatter plotPlt.hist (x,bins=20): HistogramPlt.bar (x, y): Bar chartPlt.bar (x,y1,0.3,color= ' B ');p Lt.bar (x+0.3,y2,0.3,color= ' G '): Multi-sequence bar graphDat.plot

Bluetooth Driver Analytics Linux

relatively short as followsstatic int __init btmrvl_sdio_init_module (void){if (Sdio_register_driver (bt_mrvl_sdio)! = 0) {Bt_err ("SDIO Driver registration Failed");Return-enodev;}User_rmmod = 0;return 0;}We look at the function of the red flag as follows:int sdio_register_driver (struct sdio_driver *drv){Drv->drv.name = drv->name;Drv->drv.bus = sdio_bus_type;Return Driver_register (DRV->DRV);}It is relatively simple to see the bus (red part) that we previously registered to insert the device

LogParser's IIS Web Analytics technology

Where To_date (To_localtime (To_timestamp (Date))) =timestamp (' 10/08/2010 ', ' mm/dd/yyyy '). Splitting files By default, IIS produces a log file every day. For some particularly busy websites, IIS log files can be very large. I used to have a client with 2 grams per log file. Such a large file is very slow to analyze with logparser, and it is easy to make an error. The solution is to split the log file into a number of small files for analysis separately. The

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