MVCC schema. The cost estimate in the execution plan is not equal to the actual cost of execution. So even if the statistical information is accurate, the optimizer's execution plan may not be a crime-superior. For example, sometimes an execution plan needs to read more pages, but his cost is even smaller. Because if these pages are sequential read or the pages are already in memory, the cost of access will be minimal. MySQL level and only know those pages in memory, those on disk, so the
Tags: MySQL database
If a large table contains millions, tens of millions, or even hundreds of millions of data records, the query results should be queried in real time within 10 seconds. What should I do? How to optimize it?
In my current project, there is a table with more than 10 million rows of data and more than 3 GB of data. Now we need to perform query statistics on the data in the table. Previo
ORDER (40 + 2 = 42 pages). The output table contains about 95 rows on each page, with a total of 160 pages. Writing and accessing these pages triggers 5*160 = 800 reads and writes, and the index reads and writes 892 pages.
3. Connect the output and the part to get the final result:
SELECT pvvn_by_pn. *, part. part_desc
FROM pvvn_by_pn, part
WHERE pvvn_by_pn.part_num = part. part_num
Drop table pvvn_by_pn
In this way, the query reads pvvn_by_pn sequen
can greatly optimize the query speed, basically can be completed within dozens of milliseconds. The restriction is only used to explicitly know the ID, but when the table is established, the Basic ID field is added, which brings a lot of traversal to the paging query.There is another way to do this:selectfromwhereid1000001limit100;Of course, you can also use in the way to query, this method is often used i
Label:MySQL Database optimization pt-query-digest use I. Introduction of PT-QUERY-DIGEST Tools Pt-query-digest is a tool for analyzing MySQL slow query, which can analyze Binlog, general log, Slowlog, or through show Processlist or the MySQL protocol data captured by Tcpdump
SQL Server query performance optimization analysis transactions and locks (I) SQL Server query performance optimization analysis transactions and locks (ii) SQL Server query performance optimization analysis transactions and locks
Essential SQL query optimization techniques to speed up Website access and SQL access
In this article, I will introduce how to identify queries that cause performance problems, how to locate their problems, and how to quickly fix these problems and other methods to speed up the query.
You must know that a website with quick access can be liked by users, help web
The following articles mainly describe five useful methods for MySQL query optimization. Anyone familiar with SQL statements knows that if you want to operate a task, SQL statements can be written in many ways, but the query performance varies with different writing methods. This article lists five MySQL query
meaning of the expression "specific optimizations" in the table above
Q Contrast S8 and S9, can be seen, toprowdb to S9 did not provide optimization, and PostgreSQL, MySQL can optimize, this toprowdb need to work hard
Q contrast S11, toprowdb and MySQL are stronger than PostgreSQL
In the first part of the subquery optimization, we found that MySQL's in subquery opti
Label:From: SQL Server Query performance optimization-heap table, fragmentation, and index (i) SQL Server Query performance optimization-heap table, fragmentation, and index (ii) SQL Server Query performance optimization-overwrite
) for user in user_list: print(user["username"], user["nickname"], user["job"]) return render(request,'index.html')
To run the program, print the information in the server backend:
SELECT "app01_userinfo"."username", "app01_userinfo"."nickname", "app01_userinfo"."job_id" FROM "app01_userinfo"
As you can see, the result of the query is still a user_list QuerySet , but inside this object collection is a dictionary.
A
In-depth analysis of explain for MySQL Query optimization MySQLexplain
BitsCN.com
When analyzing query performance, it is also useful to consider the EXPLAIN keyword. The EXPLAIN keyword is generally placed before the SELECT query statement to describe how MySQL performs the query
[Slow query optimization] use MySQL subqueries with caution, especially when you see the DEPENDENTSUBQUERY tag bitsCN.com case study:
Preface:
I have repeatedly stressed the importance of explain in slow query optimization 1 and 2, but sometimes I cannot see how the explain results Guide
the operation, all of which provide favorable evidence for optimizing the query. 1th, the 3 diagram IO overhead is relatively large, the 2nd graph estimates the number of rows is larger, and then according to other information, the first thought should be to build the index, not the words to change the query.Let's take a look at what optimization information the Database Engine Tuning Advisor can give us,
I used an example of MySQLleftjoin optimization to deepen my understanding of the query plan. Today, I encountered a leftjoin optimization problem. After an afternoon, I checked a lot of information, I have a better understanding of the MySQL query plan and query
cannot select a single row based on a keyword, and may find multiple rows that meet the criteria. It is called ref because the index is compared to a reference value. The reference value is either a constant or a result value of a multiple-table query from a list.
Ref_or_null
Like ref, but MySQL must find the null entry in the results of the initial lookup, and then make two lookups.
Index_merge
Explains that index mer
This article describes how to optimize queries in the DB2 parallel version, at the same time, this article also describes the query optimization and query plan generation, the parallelization of all operations, and the issues that need to be paid attention to in subquery processing. The following is the main content of this article.
a reference value. This reference value is either a constant or a result value from a multi-Table query in a table.
Ref_or_null
Like ref, but MySQL must find a null entry in the first search result and perform a second search.
Index_merge
This indicates that the index merge optimization is used.
Unique_subquery
This type is used IN some IN queries, rather than regular re
4.2 MySQL Query optimization programWhen you publish a query that selects rows, MySQL analyzes it to see if it can be optimized to make it perform faster. In this section, we'll look at how the query optimizer works. For more information, refer to "Getting Maximum performance from MySQL" in the MySQL Reference Guide, w
This article mainly describes three useful methods to optimize MySQL database queries, in practice, we sometimes feel that MySQL database queries are somewhat outdated in some applications. How can we transform them?
In the optimization query, database applications such as MySQL (the best combination of PHP and MySQL) mean the operation and use of the tool. Using indexes, using EXPLAIN to analyze queries, a
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