elasticsearch metrics

If all of the internal technical factors are left behind, we only look at the performance metrics of the application, so generally speaking, the performance of the program can be measured in the following ways. N Response Time: The time the system responds to user behavior or events. The shorter the response time, the better performance, so we should try to use asynchronous processing in the system design process, so that users can receive receipts as

1.ElasticSearch Simple DescriptionA.elasticsearch is a Lucene-based search server with distributed multiuser capabilities, Elasticsearch is an open source project (Apache License terms) developed in Java, based on a restful web interface that enables real-time search, Stable, reliable, fast, high performance, easy to install and use, and its scale-out capability is very strong, do not need to restart the se

Swap/set"CAS has three operations: current in-memory value V, expected value A, updated value B, only when A==v is updated to B, otherwise nothingTaking Atomiclong as an examplePublic final long Incrementandget () {for (;;) { Long current = Get (); Long Next = current + 1; if (Compareandset (current, next)) return next; } }The Compareandset method calls the native method to implement the CAS operation, where current is a value obt

/down) # method two: Solve X=np.vstack according to the SCIPY library ([x, Y]) d2=pdist (x, ' jaccard " ) Brecotis distance (Bray Curtis Distance)Bray Curtis Distance is mainly used in ecology and environmental science to calculate the distance between coordinates. The distance value is between [0,1]. It can also be used to calculate the differences between samples.Sample data:Calculation:Implementations in Python:Import NumPy as NPimport pdistx=np.array ([11,0,7,8, 0]) Y=np.array ([24,37,5,18,

 The following is a brief list of common recommended system metrics: 1. Accuracy rate and Recall rate (Precision Recall) Accuracy and recall rates are two measures widely used in the field of information retrieval and statistical classification to evaluate the quality of the results. The accuracy is to retrieve the number of related documents and the total number of documents retrieved, to measure the precision of the retrieval system; Recall is t

Usability Checklist, Website usability Detection Tool (http://web.mit.edu/is/usability/usability-guidelines.html)Web content Accessibility Guidelines, accessibility guidance from W3 Web site (http://www.w3.org/TR/WAI-WEBCONTENT/SEO checklist, this humble web page provides amazing value for Google seo (http://www.vaughns-1-pagers.com/internet/google-ranking-factors.htm)SEOMOZ, if you want to find a global SEO's only authority, that's them. (http://www.seomoz.org)22. Point stone Interaction, if y

My team has popularized the use of Codeanalyzer to analyze Code metrics (metric), sharing experience here. The first explanation is that Codeanalyzer is a jar file that you can run, and it can be used to get statistics on our code, and here is a detailed explanation of how to use the tool in conjunction with our development environment. (1) Copy the Code-analyzer- (2) The configuration X-window is as follows, in particular, the input in the command

Shutter is a good tool. I have installed this software and the installation method. Today I have seen this application Applet in Webupd8. It is good. It is specially used for the application metrics of Shutter. Add WebUpd8PPA and install shutter indicator use the following command: sudoadd-apt-repositoryppa: nilarimogard/webupd8sudoapt-getupdatesudoapt-getins Shutter is a good tool. I have installed this software and the installation method. Today I

1. Confusion Matrixis a confusion matrix of two types of problems in which the output uses a different category labelCommonly used metrics to measure classification performance are: The correct rate (Precision), which is equal to tp/(TP+FP), gives the ratio of the true positive example in the sample that is predicted to be a positive example. recall Rate (Recall), which he equals to tp/(TP+FN), gives the true positive example of the predi

When doing jmeter testing, if you want to count the disk IO read and write speed, then it is very easy to think of the perfmon Metrics collector this plug-in, but the specific use of the process has the following needs to be noted.1, such as first, need to choose monitoring Read or monitor write, such as to monitor write so long select Writebytes, choose this statistic result has unit, at a glance.2, Filesystem filter must be designated here to monito

Size metrics for Java projects: Micro: Just a person, even half-day work in a few days to complete the software; Small: A person within six months to complete the 2000 lines within the program; Medium: 5 people in more than 1 years of time to complete the 5000-50000-line program; Large: 5-10 people completed in two years of 50000-100000 lines of procedures; Very large: 100-1000 people participated in a 4-5-year completed softw

Open one project/solution in Visual Studio (premium) and use the "analyze> calculate code metrics for solution" menu item to generate the code metrics report. Once calculated, the data can be exported to a data sheet for further analysis (e.g. counting the number of methods whose cyclomatic complexity is greater than 25 ). Note: Cyclomatic complexity (or conditional complexity) is a software metric (meas

Use Windows performance monitor to monitor common SQL Server metrics As mentioned in the above article, Win's Performance Monitor is an essential tool for monitoring database performance. Next I will introduce some common monitoring metrics, which are nothing more than disks, CPUs, memory and other hardware operating indicators include database locks, user connections, and parameter indicators that need to

Performance Metrics)Before we start to travel this book, I must first understand the performance indicators of this book and the results to be optimized. In chapter 2, we will explore more performance testing tools and performance indicators, however, you must use these tools and understand the significance of these performance indicators.The performance metrics of applications vary depending on different b

Skewed classesSkewed classes: The number of a species is much higher (or less than) another class, that is, two extreme cases.Predicting the classification model of cancer, if there is only a 1% classification error on test set, at first glance is a good result, actually if we predict all Y to be 0 (that is, none is cancer), the classification error is 0.5% (because the ratio of cancer is 0.5%). The error is reduced, is this an improvement to the algorithm? Obviously not. Because the latter meth

the ratio of the number of samples to the total number of samples.A = (tp + tn)/(P+N) = (tp + TN)/(TP + FN + FP + TN); It reflects the ability of the classifier to judge the whole sample-positive judgment is positive and negative judgment is negative.2. Confusion matrices (confusion matrix)3. Accuracy rate (Precision), recall rate (Recall) and F1-measureAccuracy rate (Precision):PRE = tp/(TP+FP); Reflects the proportion of the true positive sample in the positive case determined by the classifi

1.0 Download serveragent. zipDownloadhttps://jmeter-plugins.org/wiki/PerfMonAgent/in the Serveragent.zip, store it in the JMeter directory and unzip it.1.1 Jmeter-winBefore testing the win performance, start the bat file and start the SH file before testing Linux.Note:① data must have a writable file, otherwise it will error, unable to execute the test plan. (The fact that my home notebook error, the company does not error)The length of the ② thread group is set longer, otherwise the time is too

indicator that can display system-wide delay type errors. It is the sum of memory\\pages input/sec and memory\\pages output/sec . is calculated using the number of pages, so that it can be compared with other page counts, such as memory\\page faults/sec , without having to do the conversion , which includes the file system cache to satisfy the error ( typically requested by the application The page is retrieved in a non-cached mapped memory file. Recommended indicatorsThis value should not exc

Linux CPU metrics Linux provides a wealth of commands to monitor CPU-related data, such as top and vmstat. Top is a dynamic display process, that is, you can press the key to continuously refresh the current status. If you execute this command on the foreground, it will exclusively occupy the foreground until the user terminates the program. More accurately, the top command provides real-time monitoring of the status of the system processor, it displa

[Method] outputs the running metrics of workflow to target, and workflowtarget Take the output workflow start time as an example: First, create the workflow-level variable $ test (datetype: date/time) in workflow) Next, double-click the link after Start and assign starttime to the newly defined wk variable $ test. Return to the Designer and add the mapping-level variable $ test (datetype: date/time) to the mapping) Return to Workflow Manage