Tags: implementation mechanism originally page organizes tables based on free article content index ClustFollowing the book on SQL tuning (SQL tuning or SQL optimization) in the essentials of high-performance SQL tuning and case resolution, we talk today about one of the most important core mechanisms of SQL tuning tec
Tags: and fast speaking tuning market buffer way a completely"High-performance SQL Tuning essentials and Case Resolution" a book has been launched, many enthusiastic readers on the contents of the book and some of the specific questions raised questions, because of the numerous readers plus my daily work busy, here on the SQL tuning learning to discuss and a unif
Label:Original: SQL Server Tuning series advanced (How to index tuning)ObjectiveIn the previous article we analyzed the role of statistical information in the database, and we have learned how the database uses statistics to control the distribution of the contents of tables in the database. Children's shoes are not clear and can be clicked for reference.As a tuning
Label:11g new Features-automatic SQL tuning (Automatic SQL Tuning) In Oracle 10g, an automatic SQL Tuning feature was introduced. In addition, ADDM monitors SQL statements that capture high loads. In Oracle 11g, the automatic SQL Tuning feature is enhanced by running SQL Tuning
11g new Features-automatic SQL tuning (Automatic SQL Tuning)In Oracle 10g, an automatic SQL Tuning feature was introduced. In addition, ADDM monitors SQL statements that capture high loads.In Oracle 11g, the automatic SQL Tuning feature is enhanced by running SQL Tuning Advi
in 10g, Oracle launched its own SQL optimization aids : SQL Optimizer (SQL Tuning Advisor :STA) , it is the new Dbms_sqltune package. Use the STA to make sure that the optimizer is in CBO mode. but I think that using this tool is only suitable for people who don't understand SQL at all, and don't think that tools can solve problems. SQL is ultimately an expression of a business, how the tool might understand the business. SQL
I will share 11 practical tips on Java performance tuning and java Tuning
Most developers think that performance optimization is a complicated problem and requires a lot of experience and knowledge. Yes, it is not wrong. It is not easy to optimize the application to achieve the best performance, but it does not mean that you cannot do anything before getting the experience and knowledge. Below are a few sug
SQL Server Performance Tuning methodology and common tools, SQL Server Tuning
In earlier articles, we mentioned the DETECT methodology in Performance Tuning. Here we will briefly review the DETECT methodology.
Discover the problem: found the problem
Lead e the conditions: Explore causes
Track down possible approaches: provides possible solutions
Execute the most
Today, developers continue to develop and deploy applications that use lamp (linux®, Apache, MySQL, and Php/perl) architectures. However, server administrators often have little control over the application itself, because the application is written by someone else. This article focuses on tuning the database layer to achieve maximum efficiency.
About MySQL Tuning
There are 3 ways to speed up the running
A basic knowledge
1.1 What is the performance
Before performance tuning, let's first look at what performance is. As for performance, I think everyone who has studied Java can list a few points or even talk about it. In the book "Java TM Platform Performance", the following five aspects are defined as criteria for evaluating performance:
1 performance of the operation-which algorithm is the best performing performance?
2 memory allocation-How much
How to use Oracle's Dbms_sqltune package to execute SQL Tuning Advisor for SQL self-tuning1 ". Here is a simple example to illustrate the use of Dbms_sqltuneStart by running a SQL that you want to tune, and then get the SqlidSql> SELECT * from V$sqltext where sql_text like ' select * from dual% ';ADDRESS hash_value sql_id command_type PIECE sql_text---------------- ---------- ------------- ------------ ---------- --------------------------------------
JVM tuning is primarily for heap memory, where heap memory is divided into: new, old, and permanent areasThe permanent zone stores the interface and class metadata of the system JDK itself, so only the new and old-age areas have optimized space.New District: Eden Area and survivor area. All the classes were new in the Eden District, and the survivor Zone was divided into 0 and 1 districts. When the space in the Eden area is exhausted,Garbage Collectio
Tags: ATI latest sel Opening technical file reference tis onlineNow has been doing the project, the amount of data is relatively small, at the beginning of the time did not feel, because it is just beginning, the amount of data is very small, in the process of the use of speed is very fast, but with the constant growth of data volume, found that the program is more and more slow, even the problem of timeouts, so to the program Early project is relatively tight, not for the Big Data volume busine
Common tuning methods in linux and common tuning methods in linux
Performance Tuning is one of the most important tasks for O M engineers. If your production environment experiences slow system response speed, abnormal hard disk I/O throughput, and the data processing speed is lower than the expected value, or if the CPU, memory, hard disk, network, and other sy
. Net Performance Tuning Series
Article
Index of series articles
. Net Performance Tuning: Use of ants performance profiler
. NET performance optimization 2: Use Visual Studio for code measurement
. Net Performance Tuning 3: tuning tools and methods for yslow-related rules
1. Introduction to yslow
The performance tuning of Enterprise Java applications is a daunting, sometimes futile task, caused by the complexity of modern applications and the lack of formal tuning methods. Modern enterprise applications are quite different from those applied ten years ago, and these applications now support multiple inputs, multiple outputs, complex frameworks, and business processing engines. and 10 years ago, web-
Model Selection Models Selection An important task in ML is model selection, or using data to find the best model or parameter for a given task. This is also known as tuning. Individual estimators such as logistic regression can be adjusted, or the entire pipeline including multiple algorithms, features, and other steps may be adjusted. The user can adjust the entire pipeline at once without having to individually adjust each element in the pipeline.
Explain:1, JVM reuse is the content of the Hadoop tuning parameters, the performance of the hive has a very large impact, especially for the difficult to avoid small file scenes or more task scenes, such scenes most of the execution time is very short. The Hadoop default configuration is to use a derived JVM to perform the map and reduce tasks, which can cause considerable overhead in the JVM's startup process, especially if the job executed contains
I. Preface
Index plays an important role in database performance. The advantages and disadvantages of index design directly affect the efficiency of DB execution. Therefore, when performing DB tuning, some of them will start to process the index. SQL server also provides a good tool for Database Engine Tuning Advisor and provides some advice on index creation and optimization.
Ii. Index Overview
In this re
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