I have suffered this loss many times. In the sql code before development, many queries with or as the where condition were even updated. Here are examples to illustrate the disadvantages of using or and how to improve it. select f_crm_id from d_dbname1.t_tbname1 where f_xxx_id = 926067 and (f_mobile ='1234567891' or f_phone ='1234567891' ) limit 1 It is easy to see from the query statement that both fields f_mobile and f_phone may store phone numbers. The general idea is The solution is to use OR to create a sql, but a large amount of table data is simply a disaster: t_tbanme1 has an index idx_id_mobile(
1. MySQL avoids using OR conditions for index columns
Introduction: I have suffered this loss many times. In the sql code before development, many used or as the where condition Query, or even update. Here are examples to illustrate the disadvantages of using or, and how to improve selectf_crm_idfromd_db...
##2. MYSQL AND OR condition problem
Introduction: MYSQL AND OR conditional issues
3. MYSQL AND OR conditional issues
Introduction: MYSQL AND OR condition problem SELECT id,name FROM test WHERE type_1 = 1 OR type_2 = 1 AND id = 1 This will print out all, ignoring the condition id=1, How to change it
4. MySQL or condition can use index to avoid full tableIntroduction: In some cases, or condition can avoid full table Scanned. 1. If there is an or condition in the where statement, the myisam table can use the index, but innodb cannot. 1) Myisam table:
##5.bitmap index problem in Oracle
Introduction: Bitmap index problem in Oracle, the and and or conditions in the where clause of the query directly correspond to the bitmap (bitmap ) perform Boolean operations to obtain a bitmap result set without the need to convert the bitmap
6.
Analysis of five situations of mysql index failure
Introduction: The index does not take effect all the time. For example, the following situations will cause the index to fail: If there is or in the condition, even if there is a condition with an index, it will not be used. (This is why you should use or as little as possible) Note: If you want to use or and want the index to take effect, you can only add index 2 to each column in the or condition. For multi-column indexes, it is not the first part used7.
mysql or conditions can use directories to avoid the full table
Introduction: mysql or conditions can use indexes In some cases, the OR condition can avoid a full table scan. ? 1. If there is an or condition in the where statement, the myisam table can use the index, but innodb cannot. 1) myisam table: ?CREATE TABLE IF NOT EXISTS `a` ( ? `id` int(1) NOT NULL AUTO_INCREMENT, ? `uid` i8.
mysql or conditions can use indexes to avoid full table scans_MySQL
Introduction: mysql or conditions can use indexes to avoid full table scans9.
About OR conditions and indexes in mysql
Introduction: About OR conditions and indexes in mysql[Related Q&A recommendations]:
python - In SqlAlchemy, how to execute a filter multiple times to add or conditions to a query?
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InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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