innodb monitor

Tags: author memory read output operation AST inventory OOP databaseInnoDB is the most critical database storage engine ever developed for MySQL database, which not only supports transactional features, but also has rich statistics to make it easy for database managers to understand the state of the recent InnoDB storage engine.Earlier versions of the InnoDB storage engine were implemented by creating a new

InnoDB source code analysis-transaction log (2), innodb source code Original article, reproduced please indicate the original link: http://www.cnblogs.com/wingsless/p/5708992.html Yesterday I wrote some basic points about the transaction log (http://www.cnblogs.com/wingsless/p/5705314.html), today combined with my recent learning results continue to summarize the knowledge of the transaction log.3. log stru

14.5.5.1 an InnoDB deadlock Example a InnoDB deadlock instance the following example demonstrates an error that can occur when a lock request causes a deadlock, example design 2 clients, A and b:jekins:/root# MySQL -uroot-p1234567-e "show ENGINE INNODB status\g;" | Grep-i dead warning:using A password on the command line interface can is insecure. First, client

Multiple versions of InnoDB and InnoDB InnoDB is a multi-version storage engine. To support some features of transactions, such as concurrency and rollback, InnoDB maintains the old version of the modified row. This information is stored in a tablespace called "rollback segments" (similar to the rollback segments in Or

InnoDB achieves serialization isolation level, and innodb serializes Serialization implementation InnoDB implements serialization in two ways. First, when the SELECT statement is in an explicit transaction block, such as executing the number 1 in Table 11-9, The LOCK_S lock will be applied, according to table 11-6 (record lock transaction lock compatibility table

insert a large number of record rows, you can use multiple-line (multi-line) inserts to reduce the communication overhead between the client and the server: INSERT into Yourtable VALUES (1, 2), (5, 5); This technique works for inserting any table, not just InnoDB. 12. If there is a unique constraint on the secondary key, starting with 3.23.52 and 4.0.3, you can improve the data import speed by closing the unique key check (uniqueness check) in an

[Note] InnoDB memory allocation and innodb Memory Allocation Original article: http://www.mysqlperformanceblog.com/2006/05/30/innodb-memory-usage/ There are many problems related to how InnoDB allocates memory. Here I try to explain the memory allocation at startup. First, list important constants: NBLOCKS = number of

InnoDB engineThe InnoDB engine provides support for database acid transactions and implements four isolation levels for the SQL standard. The engine also provides row-level and foreign-key constraints, which are designed to handle a large-capacity database system, which is itself a complete database system based on the MySQL backend, and the MySQL runtime InnoDB

, this is also why many people think that InnoDB is not as useful as MyISAM because innodb_buffer_pool_size = 4G # InnoDB shares the tablespace initialization size. the default value is 10 MB, which is also very bad X and changed to 1 GB, innodb_data_file_path = ibdata1: 1G: autoextend # If you do not know this option, we recommend that you set it to 1 to better protect data reliability and affect performan

Mysql> show InnoDB status\g;1. Row ***************************Type:innodbName:Status:=====================================140423 4:15:38 INNODB MONITOR OUTPUT=====================================Per second averages calculated to the last seconds The parameter values are basically in seconds and you need to select the appropriate time interval sampling. ==========

basically did not change, can easily be changed to Linux programs, of course, Linux is the command line interface.About the performance, ordinary Pc,i3 550CPU, mechanical hard disk, if sweep cluster scan or scan by sector, the CPU does not have pressure, can reach the maximum speed of reading hard disk, when scanning byte by bit, the CPU single core full load, the speed has a certain impact, and then there is the mechanical hard disk if read and write are on the same block, Speed has a greater

) systems are not suitable for partitioning tables, and partitioning tables are not recommended if disk space and disk IO do not appear to be bottlenecks. OLAP (online analytical processing, such as Data Warehouse, Data mart) is more suitable for partitioning operations.Indexes and algorithmsIndexes and overhead are the need to find a balance, too much or too little will affect performance, resulting in excessive load, wasting hardware resources. And the index should be added at the outset, and

InnoDB storage engine becomes more efficient for storing blobs and text fields. You can monitor the internal workings of the storage engine through the INFORMATION_SCHEMA table. You can monitor the performance information of the storage engine through the performance schema table. You can randomly mix the tables under the