postgresql performance metrics

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

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),

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

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

, 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

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

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

Five tips for Instagram to improve PostgreSQL performance, postgresql Performance Optimization As Instagram grows, Postgres continues to serve as a solid foundation for Instagram and stores a vast majority of user data. Less than a year ago, we also wrote on our blog that Instagram "stores a large amount of data" and a

Use local indexes to improve PostgreSQL Performance You may not know that PostgreSQL supports partial indexing of table data? Its advantage is that it can accelerate the reading speed of the indexed data without additional overhead. the best way is to index the data that is read repeatedly based on the given WHERE clause. this is suitable for some specific analys

In the relational database area, PostgreSQL is a very popular open source database software. Since its release in 1996, it has accumulated nearly 20 years of practical experience, both in PostgreSQL itself and in community ecology. Not only small and medium-sized enterprises, many large industry customers will also use PostgreSQL to build their own database syste

1, Testing purpose By running the standard test program TPC-B and TPC-C, determine the performance differences between different parameters and different versions (8.2.14 vs 8.4.2, it provides reference for parameter configuration and version selection of PostgreSQL databases on ECOP cm. The test platform is: Hardware configuration: CPU e4600 dual-core 2.4g 2g RAM 160g SATA * 2 Operating System: Ubuntu 9.10

The amount of data will be huge in the future/you cannot predict the size of the data. We recommend that you change to PostgreSQL. After a certain amount of data is stored in MySQL (generally, the performance of a single MySQL table is the best-, and the performance starts to decline when there are more data), the performance