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This article mainly introduces the distinct statement in MySQL to query duplicate records and related performance discussions. the point in this article is to avoid using distinct in top-level queries under certain circumstances, for more information, see MySQL Query. duplic
the various types of fields are stored, more importantly, how the database data storage, how to partition, how to manage, such as Oracle's data files, table space, segments, and so on. Understanding this mechanism can alleviate a lot of I/O load. For example: Using show engines under MySQL, you can see the support of various storage engines. Different storage engines have different priorities, and for different business or database designs you will h
very good for caching, for complex SELECT statements can use the query cache, but it should be noted that the table on the update, DELETE, insert operation compared to select is very few.3, query Cache hit ratio: qcache_hits/(qcahce_hits+com_select), query cache hit rate is a good hit rate, needs specific analysis. As long as the
Tags: large number of advance group Check life cycle entry Expression src No
This article is "high-performance MySQL" Reading notes
Slow Query Basics: Optimizing data accessThe most basic reason for poor query performance is that there is too much data to acces
Database Tuning tutorial (4) Explain performance analysis command, tuning explain
In the previous chapter, we learned how to find slow queries and record statements into logs. How can we know where statement problems occur after slow queries are found. This chapter describes how to use the database performance analysis
High-Performance MySql evolution (10): Limitations of the query optimizer bitsCN.com
The article "common methods of the query optimizer" lists some common optimization methods of the optimizer. The query optimizer also has some limitations while providing these features. the
Statistics update inserted values
Determining the order in which values are taken
Write a lazy Union
Other uses of user-defined variables
Query run-time calculation totals and averages
function first () and last () in the simulation group statement
Do some data calculations on a large amount of data
Calculates the MD5 hash value of a large table
Write a sample processing function to ch
MySQL queries random data in four ways and performance comparison below from the following four solutions to analyze their respective advantages and disadvantages.
Solution 1:SELECT * FROM 'table' order by rand () LIMIT 0, 1;
This method is very slow. The reason is that MySQL creates a zero-time table to store all result sets, then creates a random index for eac
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
Label:Objective About SQL Server Tuning series is a huge content system, not a word two words can be analyzed clearly, this article first in the SQL tuning in the most commonly used query plan to parse, to do a good job of the basic grasp, tamping basic skills! Then we talk about the overall statement tuning. Learn how
| +---------------------+-------+ The configuration of the record slow query, the execution time of more than 2 seconds is slow query, the system shows that there are 4,148 slow query, you can analyze the slow query log, find the problem of SQL statements, slow query time
wait for the lock ). For example:
thread 1 does 1000 insertsthread 2, 3, and 4 does 1 insertthread 5 does 1000 inserts
If you do not use the lock, 2, 3, and 4 will be completed before 1 and 5. If you use locking, 2, 3, and 4 may not be completed before 1 or 5, but the overall time should be about 40% faster. Because INSERT, UPDATE, and DELETE operations are fast in MySQL, you will get better overall performance
queries are the most commonly used operations in database technology. The query operation process is relatively simple, first from the client issued a query SQL statement, the database server after receiving the SQL statement sent by the client, execute the SQL statement, and then return the results of the query to the client. Although the process is very simple,
This article mainly introduces how to greatly optimize MySQL Query performance. based on the actual running time, the author analyzes several important MySQL Performance Optimization points such as InnoDB, which are strongly recommended! For more information, see the
engine, which require in-memory operations, CPU operationsAnd out-of-memory time-consuming IO operations, depending on the context, can result in a large number of context switches and system calls.2. Slow Query Basics: Optimizing data accessThe most basic reason for poor query performance is that there is too much data to access. Some queries may inevitably nee
MySQL Performance Profiling Tool (pt-query-digest) is also from percona-toolkit
Other tools in this tool set
Troubleshooting of abnormal shutdown of MySQL Slave (pt-slave-restart)
Including
1. slow log (default)
2. tcpdump
3. general log
4. binlog
5. show processlist
The experiment simulates a certain amount of pr
MySQL optimization-performance analysis and query optimizationoptimization should be carried out throughout the product development cycle, such as when writing complex SQL to view the execution plan, when installing the MySQL server as reasonable as possible (see too much to completely use the default configuration ins
increase the simultaneous processing capacity
Determine earnings
Determine cost
Monitoring tasks with common bottlenecks
Monitor memory usage
Monitor thread and CPU usage
Monitor hard disk I/O
Monitor low-performance queries
Monitor stored procedures, SQL, and user activities
Monitor current locks and user interactions
Create a performance tuning
Database Tuning tutorial (4) Explain performance analysis command, tuning explain
In the previous chapter, we learned how to find slow queries and record statements into logs. How can we know where statement problems occur after slow queries are found. This chapter describes how to use the database performance analysis
Test Data Volume: 10407608Num docs:10407608In the project one of the most commonly used queries, query a certain period of time data, SQL query to obtain data, 30s or soSELECT * from ' tf_hotspotdata_copy_test ' WHERE collecttime BETWEEN ' 2014-12-06 00:00:00 ' and ' 2014-12-10 21:31:55 ';After indexing the collecttime, the same query, 2s, is much faster.SOLR Ind
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