国产av日韩一区二区三区精品,成人性爱视频在线观看,国产,欧美,日韩,一区,www.成色av久久成人,2222eeee成人天堂

Table of Contents
What is a temporary table?
Common uses:
Recommended usage:
What is a memory table?
Temporary table vs memory table: key differences
How to choose in practical applications?
Home Database Mysql Tutorial mysql temporary table vs memory table

mysql temporary table vs memory table

Jul 13, 2025 am 02:23 AM
mysql Temporary tables

Temporary tables are tables with limited scope, and memory tables are tables with different storage methods. Temporary tables are visible in the current session and are automatically deleted after the connection is disconnected. Various storage engines can be used, which are suitable for saving intermediate results and avoiding repeated calculations; 1. Temporary tables support indexing, and multiple sessions can create tables with the same name without affecting each other; 2. The memory table uses the MEMORY engine, and the data is stored in memory, and the restart is lost, which is suitable for cache small data sets with high frequency access; 3. The memory table supports hash indexing, and does not support BLOB and TEXT types, so you need to pay attention to memory usage; 4. The life cycle of the temporary table is limited to the current session, and the memory table is shared by all connections. When choosing, it should be decided based on whether the data is private, whether high-speed access is required and whether it can tolerate loss.

mysql temporary table vs memory table

There are temporary tables and memory tables in MySQL, which are easy to be confused when many people use them. In fact, they are two different things and the problems they solve are also different. Simply put: a temporary table is a table with a limited scope of function, while a memory table is a table with different storage methods .

mysql temporary table vs memory table

The following is a few common usage scenarios to talk about their differences and application.


What is a temporary table?

A temporary table is a table structure that is only visible in the current session. Once the connection is disconnected, the table will be automatically deleted. It can be used with any storage engine, such as InnoDB, MyISAM, or Memory.

mysql temporary table vs memory table

Common uses:

  • Save temporary data in the middle of complex query
  • Avoid repeated calculations and improve performance
  • Used for intermediate results in stored procedures or functions
  • If you only need a "intermediate table" for the current operation and do not want to affect other users, use temporary tables
  • You can create indexes or operate like normal tables
  • Multiple sessions can create temporary tables with the same name without affecting each other

Example statement:

 CREATE TEMPORARY TABLE temp_users (
    id INT,
    name VARCHAR(100)
);

What is a memory table?

Memory Table, also known as HEAP table, is a table that stores data in memory and uses the MEMORY storage engine. It reads and writes quickly, but data is lost after restarting.

mysql temporary table vs memory table

Common uses:

  • Caches small datasets with high frequency access
  • Speed up certain operations as temporary cache
  • Used for fast read and write scenarios such as statistics and counting
  • Used when the data is not large and you are not afraid of losing it
  • Supports hash index, suitable for point-checking
  • BLOB and TEXT type fields are not supported
  • Pay attention to memory usage and don't crash the server

Example statement:

 CREATE TABLE cache_data (
    key_name VARCHAR(50) PRIMARY KEY,
    value TEXT
) ENGINE=MEMORY;

Temporary table vs memory table: key differences

characteristic Temporary table Memory table
life cycle Destroy the current session as soon as it is finished Data is lost with service restart
Storage Engine Multiple engines can be specified (default InnoDB) Fixed as MEMORY engine
Whether it is persistent no no
Whether to share No (each session is independent) Yes (all connections are accessible)
Applicable scenarios Intermediate data processing, private data storage Fast cache, high-frequency access to data

How to choose in practical applications?

If you just want to save some intermediate results during SQL execution and don't want others to see it, then use temporary tables ;
If there is a set of data that you want to keep it alive and access it quickly and you are not afraid of reboot loss, you can consider using memory tables .

Of course, sometimes you can also use it in combination, such as using temporary tables for intermediate processing, and then put the results in the memory table for subsequent calls.


Basically, these are all. Both types of tables have their own positioning. Understand their essence so that they will not make mistakes when used.

The above is the detailed content of mysql temporary table vs memory table. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Performing logical backups using mysqldump in MySQL Performing logical backups using mysqldump in MySQL Jul 06, 2025 am 02:55 AM

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.

Handling NULL Values in MySQL Columns and Queries Handling NULL Values in MySQL Columns and Queries Jul 05, 2025 am 02:46 AM

When handling NULL values ??in MySQL, please note: 1. When designing the table, the key fields are set to NOTNULL, and optional fields are allowed NULL; 2. ISNULL or ISNOTNULL must be used with = or !=; 3. IFNULL or COALESCE functions can be used to replace the display default values; 4. Be cautious when using NULL values ??directly when inserting or updating, and pay attention to the data source and ORM framework processing methods. NULL represents an unknown value and does not equal any value, including itself. Therefore, be careful when querying, counting, and connecting tables to avoid missing data or logical errors. Rational use of functions and constraints can effectively reduce interference caused by NULL.

Aggregating data with GROUP BY and HAVING clauses in MySQL Aggregating data with GROUP BY and HAVING clauses in MySQL Jul 05, 2025 am 02:42 AM

GROUPBY is used to group data by field and perform aggregation operations, and HAVING is used to filter the results after grouping. For example, using GROUPBYcustomer_id can calculate the total consumption amount of each customer; using HAVING can filter out customers with a total consumption of more than 1,000. The non-aggregated fields after SELECT must appear in GROUPBY, and HAVING can be conditionally filtered using an alias or original expressions. Common techniques include counting the number of each group, grouping multiple fields, and filtering with multiple conditions.

Paginating Results with LIMIT and OFFSET in MySQL Paginating Results with LIMIT and OFFSET in MySQL Jul 05, 2025 am 02:41 AM

MySQL paging is commonly implemented using LIMIT and OFFSET, but its performance is poor under large data volume. 1. LIMIT controls the number of each page, OFFSET controls the starting position, and the syntax is LIMITNOFFSETM; 2. Performance problems are caused by excessive records and discarding OFFSET scans, resulting in low efficiency; 3. Optimization suggestions include using cursor paging, index acceleration, and lazy loading; 4. Cursor paging locates the starting point of the next page through the unique value of the last record of the previous page, avoiding OFFSET, which is suitable for "next page" operation, and is not suitable for random jumps.

Implementing Transactions and Understanding ACID Properties in MySQL Implementing Transactions and Understanding ACID Properties in MySQL Jul 08, 2025 am 02:50 AM

MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.

Calculating Database and Table Sizes in MySQL Calculating Database and Table Sizes in MySQL Jul 06, 2025 am 02:41 AM

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

Handling character sets and collations issues in MySQL Handling character sets and collations issues in MySQL Jul 08, 2025 am 02:51 AM

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.

Setting up asynchronous primary-replica replication in MySQL Setting up asynchronous primary-replica replication in MySQL Jul 06, 2025 am 02:52 AM

To set up asynchronous master-slave replication for MySQL, follow these steps: 1. Prepare the master server, enable binary logs and set a unique server-id, create a replication user and record the current log location; 2. Use mysqldump to back up the master library data and import it to the slave server; 3. Configure the server-id and relay-log of the slave server, use the CHANGEMASTER command to connect to the master library and start the replication thread; 4. Check for common problems, such as network, permissions, data consistency and self-increase conflicts, and monitor replication delays. Follow the steps above to ensure that the configuration is completed correctly.

See all articles