elasticsearch performance metrics

the positive case), and TPR is very high, assuming threshold=0.1, fpr=tpr= 1, you can draw the first point in the coordinate system (threshold); In the same vein, with the increase of the FPR and TPR will gradually decrease, and finally even 0. The shape of the curve is usually as follows:If the classifier works well, the curve should be close to the upper-left corner (TPR large, FPR small).The AUC (area under Curve) is defined as the size of the ROC curve, which obviously does not have a value

, occasionally do not have to worry about, if a long time, then you have to start to consider solving the disk IO performance issues.6.Processor:% Processor timeThis is an indicator for monitoring CPU conditions (similar to disk Time). This is a key parameter for observing CPU utilization. If the value of the processor Time counter continues to exceed 80%, there is a bottleneck on the CPU. If it only happens occasionally, it may indicate that there is

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 g

70% 23.33% 5% 0.83% 0.83% CPU consumption Interval (%) 0.00~11.40 11.50~22.80 22.90~34.20 34.30~45.60 45.70~57.00 Number 120 0 0 0 0 Percentage 100% 0% 0% 0% 0% Memory consumption Interval (MB) 0.00~18.13 18.14~36.26 36.27~54.39 54.40~72.52 72.53~9

global statuslike ' open_files '; Mysql> mysql-e "show global statuslike ' open_tables '; (14) Slow query To turn on slow queries: Edit the/etc/my.cnf and add it in the [Mysqld] field: Slow_query_log= 1 # Turn on slow query Slow_query_log_file=/data/mysql/slow.log # Slow Query log path Long_query_time= 1 # Length of slow query To view the number of slow queries: Executive Mysqladminstatus (15) Full-time Records View full-day log: Show global variables like ' general_log '; Open full-day log:

parameterization.Sqlserver:sqlstatistics/failed auto-params/secNumber of failed automatic parameterization attempts per second. the value should be very small. Note that in later versions of SQL Server, automatic parameterization is also known as simple parameterization.Sqlserver:sqlStatistics/batch requests/secNumber of Transact- SQL command batches received per second. This statistic is affected by all constraints, such as I/O, number of users, cache size, complexity of the request, and so on

time. However, this number will be different each time the query is run, except that the range of changes does not vary greatly over time. The total time is the amount of time that is required to execute the query (no time to block or read data), and because the load on the server is constantly changing, the range of this data can sometimes be quite large. In general, the performance of a query statement can be compared in several parameters in a qua

3014885 2127 139857 2117 3014885 2127 0 0 0 0 139857 2117 0 0 0 0where 6th and 8 are listed as Rx_bytes (receive data) and tx_bytes (transmit data) contain statistics on all network traffic such as TCP,UDP.Remarks: Script page http://www.cnblogs.com/penghong2014/p/4530875.html4. PowerMany features of Android are compared to power consumption (such as screen, Gps,sensor sensor, wake-up mechanism, CPU, Internet usage, etc.)1) Anti-screen standby the most power-saving2) WiFi than cellular data, in

Tags: style blog http io color SP data div onOne, SET STATISTICS IO (about the amount of disk activity generated by the TSQL statement query) Scan Count: The number of times a table is accessed in a query;logical reads: The number of pages of data read from the data buffer;physical reads: The number of pages of data read from the physical disk to buffer;Read -ahead: The number of pages of data read from the physical disk to buffer according to the execution plan;--Displays information about

MemoryCpuFlowElectricityStart speedSliding speedInterface switching speedNetwork speed for interacting with the serverExpected standard designation principle: 1) Analysis of competitor's products, all indicator keys are stronger than competing items2) Expected performance data from the product manager3) Meet industry standardsTest methods and tools:1: Memory, test with ADB shell script, view log data. adb shell dump Meminfo2:CPU: Test with adb shell s

I. Assessment METHODOLOGY 1. Leave the method The set up method directly divides the dataset D into two mutually exclusive collections, one of which is used as the training set S and the other as the test set T, and the T is used to evaluate the test error as an estimate of the generalization error when the model is trained at S. 2. Cross-validation method "Cross-validation" first divides the dataset D into K-sized mutually exclusive subsets, each of which maintains the consistency of the data d

/s rkb/s wkb/s avgrq-sz avgqu-sz await r_await w_await SVCTM%utilVDA 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00iostat-x VDA 1 2 command meaning: Every 1 seconds print the VDA this disk usage information, print two times altogether. %util indicates CPU busy, higher and busierUniversal Command-SAR(System Activity Report) is one of the most comprehensive systems performance analysis tools available on Linux and can be used to report

include images, JavaScript, CSS, Flas objects, RSS feeds, JavaScript files, and so on.Measuring full-page load times is useful for monitoring third-party content, especially ads, but it does not tell you which users have seen the ad. For example, it doesn't tell you where third-party content is loaded faster. But from the user's point of view, these are not problems.The author makes a detailed division and explanation of the response time and page load time of the website, I believe you have a

ObjectiveJMeter is an open source tool for performance testing, stress testing, and is being tested by a large number of testers to test product performance, load, and more. JMeter In addition to the powerful presets of various plugins, various visual charting tools, there are some inherent flaws, such as: We often can only analyze the performance of the

The loggly Log Management Service uses Elasticsearch as a search engine in many of its core functions. In his article "ElasticSearch vs SOLR", Jon Gifford noted that the field of log management has a higher demand for search technology. In general, it must be able to: Reliable large-scale real-time indexing-for us, processing more than 100,000 log data per second; High-

First, the basic idea of the server deployment algorithm 1, add 1-2 servers, for the load Balancing node Elasticsearch configuration file has 2 parameters: Node.master and Node.data. These two parameters, when used in combination, can help provide server performance. 1.1> node.master:false node.data:true This node server is used only as a data node for storing index data only. Make the node server funct

the performance of ES. At the same time, assuming that the machine 1 has a routing attribute a document, Machine 2 has a routing attribute B document, then I in the query when the target route attribute is a, even if the machine 2 failure paralysis, the machine 1 structure is not a great influence, so do the query under the disaster situation also proposed a solution. The so-called route, in essence, is a split-bucket (bucketing) operation. Of course

Elasticsearch performance optimization is mainly divided into 4 aspects.First, Server Deployment1. Add 1-2 servers for load Balancing section Point There are 2 parameters in the Elasticsearch configuration file: Node.master and Node.data.When used together, these two parameters can help provide server performance. Node

Collect Elasticsearch performance parameters in Bigdesk and save to database or elk for long-term monitoring. Based on the Python script implementation, the script is as follows:#coding =GBKImport HttplibImport JSONImport timeImport Es_savelogImport ConfigHelperImport Mqhelperdef main ():#变量初始化#上一次统计数据dictlastnodeinfo={}#本次统计当前节点dictnodeinfo={}Print "Start ..."While 1==1:Flag=confighelper.getintconfig ("Fla

discovery.zen.ping.multicast.enabled:falsediscovery.zen.ping.unicast.hosts: ["172.30.1.71", " 172.30.1.72 ","172.30.1.52"]indices.memory.index_buffer_size: 30%indices.reovery.max_bytes_per_sec:10gb index.merge.policy.max_merged_segment:10gbindex.merge.scheduler.max_thread_count: 3index.merge.scheduler.max_merge_count:6index.refresh_interval:30sindex.translog.flush_threshold_ size:5gbindex.translog.flush_threshold_ops:50000index.cache.field.type: softindex.cache.field.max_size:50000index.cache.f