MySQL抑制binlog日志中的binlog部分
MySQL通过binlog来记录整个数据的变更过程,因此我们只要有MySQL的binlog日志即可完整的还原数据库。MySQL binlog日志记录有3种不
MySQL通过binlog来记录整个数据的变更过程,因此我们只要有MySQL的binlog日志即可完整的还原数据库。MySQL binlog日志记录有3种不同的方式,即:STATEMENT,MIXED,,ROW。对于不同的日志模式,生成的binlog有不同的记录方式。对于MIXED(部分SQL语句)和ROW模式是以base-64方式记录,会以BINLOG开头,是一段伪SQL,我们可以用使用base64-output参数来抑制其显示。本文对此给出了描述及演示。
有关mysqlbinlog的用法,请参考:使用mysqlbinlog提取二进制日志
1、mysqlbinlog之base64-output参数
.
BINLOG.
but unlike NEVER, it does not exit with an error if a row event is found.
· Character set information is not available in the binary log, which affects string column display:
CHAR(4) CHARACTER SET latin1
CHAR(2) CHARACTER SET ucs2
SET clause.
2、演示生成binlog日志
--环境
mysql> show variables like 'version';
+---------------+------------+
| Variable_name | Value |
+---------------+------------+
| version | 5.6.12-log |
+---------------+------------+
--如下查询binlog为row记录模式
mysql> show variables like 'binlog_for%';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| binlog_format | ROW |
+---------------+-------+
mysql> reset master;
Query OK, 0 rows affected (0.01 sec)
mysql> show master status;
+-----------------+----------+--------------+------------------+-------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |
+-----------------+----------+--------------+------------------+-------------------+
| APP01bin.000001 | 120 | | | |
+-----------------+----------+--------------+------------------+-------------------+
mysql> use test;
Database changed
--创建表t1
mysql> create table t1(id smallint,val varchar(20));
Query OK, 0 rows affected (0.01 sec)
--插入单条记录
mysql> insert into t1 values(1,'robin');
Query OK, 1 row affected (0.00 sec)
--清空表
mysql> truncate table t1;
Query OK, 0 rows affected (0.01 sec)
--查看binlog events
mysql> show binlog events;
+-----------------+-----+-------------+-----------+-------------+----------------------------------------------------------+
| Log_name | Pos | Event_type | Server_id | End_log_pos | Info |
+-----------------+-----+-------------+-----------+-------------+----------------------------------------------------------+
| APP01bin.000001 | 4 | Format_desc | 11 | 120 | Server ver: 5.6.12-log, Binlog ver: 4 |
| APP01bin.000001 | 120 | Query | 11 | 238 | use `test`; create table t1(id smallint,val varchar(20)) |
| APP01bin.000001 | 238 | Query | 11 | 310 | BEGIN |
| APP01bin.000001 | 310 | Table_map | 11 | 358 | table_id: 74 (test.t1) |
| APP01bin.000001 | 358 | Write_rows | 11 | 402 | table_id: 74 flags: STMT_END_F |
| APP01bin.000001 | 402 | Xid | 11 | 433 | COMMIT /* xid=30 */ |
| APP01bin.000001 | 433 | Query | 11 | 517 | use `test`; truncate table t1 |
+-----------------+-----+-------------+-----------+-------------+----------------------------------------------------------+
7 rows in set (0.00 sec)

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



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.

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
