Before upgrading from MySQL 5.5 to 5.6, I read therelevant pagein thereference manualand found this section about the storage format change forDATETIME
,TIME
,TIMESTAMP
data types to support microseconds:
Incompatible change: For TIME, DATETIME, and TIMESTAMP columns, the storage required for tables created before MySQL 5.6.4 differs from storage required for tables created in 5.6.4 and later. This is due to a change in 5.6.4 that permits these temporal types to have a fractional part. After upgrading from MySQL 5.5 to MySQL 5.6.4 or later, it is recommended that you also upgrade from MySQL 5.5 to MySQL 5.6 TIME, DATETIME, and TIMESTAMP types…
The problem is that the manual doesn’t tell youhowto “upgrade from MySQL 5.5 to MySQL 5.6 TIME, DATETIME, and TIMESTAMP types”. I figured simply rebuilding the relevant tables would probably do the trick, and I found some confirmation in ablog postfrom the MySQL server team. Quoting that post:
The ALTER TABLE requests ADD/CHANGE/MODIFY COLUMN, ADD INDEX or FORCE operation upon detecting old temporal data types upgrades them to the new format. Also a ‘NOTE’ is reported to indicate the user that an upgrade of the old temporal columns to the new format has been performed as well.
So I figured I would useALTER TABLE ... FORCE
to rebuild my tables. But which tables need to be rebuilt? I could simply rebuild every table that hasDATETIME
,TIME
, and/orTIMESTAMP
columns, but I’d rather be able to tell which storage format the table is using so don’t end up rebuilding it if I don’t need to. For InnoDB tables I can identify the columns using the old temporal types by checking theMTYPE
value in theINFORMATION_SCHEMA.INNODB_SYS_COLUMNS
table, since that value will be6 (INT)
for the old storage format and3 (FIXBINARY)
for the new storage format. Since almost all of my tables are InnoDB that approach works well for me. For other storage engines I’ll just rebuild all tables withDATETIME
,TIME
, and/orTIMESTAMP
columns.
Here’s a query to list all of the relevant columns suspected of using the old format:
<code>select t.table_schema,t.engine,t.table_name,c.column_name,c.column_typefrom information_schema.tables t inner join information_schema.columns c on c.table_schema = t.table_schema and c.table_name = t.table_nameleft outer join information_schema.innodb_sys_tables ist on ist.name = concat(t.table_schema,'/',t.table_name)left outer join information_schema.innodb_sys_columns isc on isc.table_id = ist.table_id and isc.name = c.column_name where c.column_type in ('time','timestamp','datetime')and t.table_schema not in ('mysql','information_schema','performance_schema')and t.table_type = 'base table'and (t.engine != 'innodb' or (t.engine = 'innodb' and isc.mtype = 6))order by t.table_schema,t.table_name,c.column_name;</code> |
And here’s a quick way to dump theALTER TABLE
commands to a script and then execute that script:
<code>select distinct concat('set sql_log_bin = 0; alter table ',t.table_schema,'.',t.table_name,' force;') as ddlinto outfile '/tmp/rebuild_tables_to_upgrade_tempral_storage_format.sql'from information_schema.tables t inner join information_schema.columns c on c.table_schema = t.table_schema and c.table_name = t.table_nameleft outer join information_schema.innodb_sys_tables ist on ist.name = concat(t.table_schema,'/',t.table_name)left outer join information_schema.innodb_sys_columns isc on isc.table_id = ist.table_id and isc.name = c.column_name where c.column_type in ('time','timestamp','datetime')and t.table_schema not in ('mysql','information_schema','performance_schema')and t.table_type = 'base table'and (t.engine != 'innodb' or (t.engine = 'innodb' and isc.mtype = 6))order by (t.data_length + t.index_length) asc;/W /. /tmp/rebuild_tables_to_upgrade_tempral_storage_format.sql</code> |
If I re-run the above it will not rebuild the InnoDB tables that were already rebuilt, but it will rebuild the MyISAM tables that were already rebuilt because I don’t know how to tell if they are using the old format or not.
Since I enabled warnings I get this friendly note every time I convert a table:
Note (Code 1880): TIME/TIMESTAMP/DATETIME columns of old format have been upgraded to the new format.
As an added bonus all of myDATETIME
columns shrink from 8 bytes to 5 bytes (assuming I’m not using fractional seconds)!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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