Detailed explanation of the error prompting table primary key conflict when innodb_index_stats imports data

index.html represents the home page file of the web page and is the default page of the website. When a user visits a website, the index.html page is usually loaded first. HTML (HypertextMarkupLanguage) is a markup language used to create web pages, and index.html is also an HTML file. It contains the structure and content of a web page, as well as tags and elements used for formatting and layout. Here is an example index.html code: &lt

InnoDB is one of the database engines of MySQL. It is now the default storage engine of MySQL and one of the standards for binary releases by MySQL AB. InnoDB adopts a dual-track authorization system, one is GPL authorization and the other is proprietary software authorization. InnoDB is the preferred engine for transactional databases and supports transaction security tables (ACID); InnoDB supports row-level locks, which can support concurrency to the greatest extent. Row-level locks are implemented by the storage engine layer.

InnoDB is a storage engine that stores data in tables on disk, so our data will still exist even after shutdown and restart. The actual process of processing data occurs in memory, so the data in the disk needs to be loaded into the memory. If it is processing a write or modification request, the contents in the memory also need to be refreshed to the disk. And we know that the speed of reading and writing to disk is very slow, which is several orders of magnitude different from reading and writing in memory. So when we want to get certain records from the table, does the InnoDB storage engine need to read the records from the disk one by one? The method adopted by InnoDB is to divide the data into several pages, and use pages as the basic unit of interaction between disk and memory. The size of a page in InnoDB is generally 16

1. Roll back and reinstall mysql. In order to avoid the trouble of importing this data from other places, first make a backup of the database file of the current library (/var/lib/mysql/location). Next, I uninstalled the Perconaserver 5.7 package, reinstalled the original 5.1.71 package, started the mysql service, and it prompted Unknown/unsupportedtabletype:innodb and could not start normally. 11050912:04:27InnoDB:Initializingbufferpool,size=384.0M11050912:04:27InnoDB:Complete

MySQL storage engine selection comparison: InnoDB, MyISAM and Memory performance index evaluation Introduction: In the MySQL database, the choice of storage engine plays a vital role in system performance and data integrity. MySQL provides a variety of storage engines, the most commonly used engines include InnoDB, MyISAM and Memory. This article will evaluate the performance indicators of these three storage engines and compare them through code examples. 1. InnoDB engine InnoDB is My

1. Mysql transaction isolation level These four isolation levels, when there are multiple transaction concurrency conflicts, some problems of dirty reading, non-repeatable reading, and phantom reading may occur, and innoDB solves them in the repeatable read isolation level mode. A problem of phantom reading, 2. What is phantom reading? Phantom reading means that in the same transaction, the results obtained when querying the same range twice before and after are inconsistent as shown in the figure. In the first transaction, we execute a range query. At this time, there is only one piece of data that meets the conditions. In the second transaction, it inserts a row of data and submits it. When the first transaction queries again, the result obtained is one more than the result of the first query. Data, note that the first and second queries of the first transaction are both in the same

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

MySQL is a widely used database management system, and different storage engines have different impacts on database performance. MyISAM and InnoDB are the two most commonly used storage engines in MySQL. They have different characteristics and improper use may affect the performance of the database. This article will introduce how to use these two storage engines to optimize MySQL performance. 1. MyISAM storage engine MyISAM is the most commonly used storage engine for MySQL. Its advantages are fast speed and small storage space. MyISA