BINARY
The BINARY operator throws the following string into a binary string. This is a simple way to force column comparisons to be done byte-by-byte rather than character-by-character. This makes the comparison case-sensitive, even if the column is not defined as a BINARY or BLOB. BINARY also produces trailing whitespace, making it more conspicuous.
mysql> SELECT 'a' = 'A'; -> 1 mysql> SELECT BINARY 'a' = 'A'; -> 0 mysql> SELECT 'a' = 'a '; -> 1 mysql> SELECT BINARY 'a' = 'a '; -> 0
BINARY affects the entire comparison; it can be given before any operand and produce the same result.
BINARY str is the abbreviation of CAST (str AS BINARY).
Note that in some contexts, if you assign an indexed column to a BINARY, MySQL will not be able to effectively use the index.
If you want to do a case-sensitive comparison of a BLOB value or other binary string, you can do this by taking advantage of the fact that binary strings do not have character sets, so there is no concept of folders. To perform a case-sensitive comparison, use the CONVERT() function to convert a string value to a case-insensitive character set. The result is a non-binary string, so the LIKE operation is not case-sensitive:
SELECT 'A' LIKE CONVERT(blob_col USING latin1) FROM tbl_name;
To use a different character set, replace its latin1 name in the above statement.
CONVERT() can generally be used to compare strings that appear in different character sets.
CAST(expr AS type), CONVERT(expr,type) , CONVERT(expr USING transcoding_name)
CAST() and CONVERT() functions can be used to get a value of one type and produce a value of another type.
This type can be one of the following values:
BINARY[(N)]
CHAR[(N)]
DATE
DATETIME
DECIMAL
SIGNED [INTEGER]
TIME
UNSIGNED [ INTEGER]
BINARY generates a binary string. See the BINARY operator entry in this chapter for a description of how it affects the comparison result.
If an arbitrary length N is given, BINARY[N] causes the cast to use no more than N bytes for this parameter. Likewise, CHAR[N] will cause the cast to use no more than N characters with that argument.
CAST() and CONVERT(... USING...) are standard SQL syntax. The non-USING format of CONVERT() is ofis ODBC syntax.
CONVERT() with USING is used to convert data between different character sets. In MySQL, the auto-decoding name is the same as the corresponding character set name. For example. This statement converts the string 'abc' in the server's default character set into the corresponding string in the utf8 character set:
SELECT CONVERT('abc' USING utf8);
When you want to create a special type of column in a CREATE ... SELECT statement, the cast function Will be useful:
CREATE TABLE new_table SELECT CAST('2000-01-01' AS DATE);
This function is also used to sort ENUM columns in lexical order. Normally sorting of ENUM columns occurs when using internal numeric values. Assigning these values to CHAR in lexical order results:
SELECT enum_col FROM tbl_name ORDER BY CAST(enum_col AS CHAR);
CAST(str AS BINARY) is the same as BINARY str. CAST(expr AS CHAR) treats the expression as a string with the default character set.
If used as part of a more complex expression such as CONCAT('Date: ',CAST(NOW() AS DATE)), CAST() will also change the result.
You should not use CAST() to extract data in different formats, but you can use string functions such as LEFT() or EXTRACT() instead. See "Date and Time Functions".
To assign a string to a numeric value in a numeric context, normally you don’t need to do anything except use the string value as a number:
mysql> SELECT 1+'1'; -> 2
To assign a string value in a numeric context When using a number, the number will be automatically converted into a BINARY string.
mysql> SELECT CONCAT('hello you ',2); -> 'hello you 2'
MySQL supports operations on signed and unsigned 64-bit values. If you are using a numeric operator (such as +) and one of the operands is an unsigned integer, the result is unsigned. This can be overridden using the SIGNED and UNSIGNED cast operators. Dispatches operations to signed or unsigned 64-bit integers respectively.
mysql> SELECT CAST(1-2 AS UNSIGNED) -> 18446744073709551615 mysql> SELECT CAST(CAST(1-2 AS UNSIGNED) AS SIGNED); -> -1
Note that if either operand is a floating point value, the result will be a floating point value and will not be affected by the above rules (for this point, DECIMAL column values are treated as floating point values).
mysql> SELECT CAST(1 AS UNSIGNED) - 2.0; -> -1.0
If you use a string in an arithmetic operation, it will be converted to a floating point number.

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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