ORDER BY Clauses
In general, the optimizer will skip the sort procedure for the ORDER BY clause if it sees that the rows
will be in order anyway. But let's examine some exceptional situations.
For the query:
SELECT column1 FROM Table1 ORDER BY 'x';
the optimizer will throw out the ORDER BY clause. This is another example of dead code elimination.
For the query:
SELECT column1 FROM Table1 ORDER BY column1;
the optimizer will use an index on column1, if it exists.
For the query:
SELECT column1 FROM Table1 ORDER BY column1+1;
the optimizer will use an index on column1, if it exists. But don't let that fool you! The index is only
for finding the values. (It's cheaper to do a sequential scan of the index than a sequential scan of the table,
that's why index is a better join type than ALL — see Section 3.2.2.4, “The index Join Type”.)
There will still be a full sort of the results.
For the query:
SELECT * FROM Table1
WHERE column1 > 'x' AND column2 > 'x'
ORDER BY column2;
i
f both column1 and column2 are indexed, the optimizer will choose an index on ... column1. The
fact that ordering takes place by column2 values does not affect the choice of driver in this case.
See: /sql/sql_select.cc, test_if_order_by_key(), and /sql/sql_select.cc,
test_if_skip_sort_order().
ORDER BY Optimization [http://dev.mysql.com/doc/refman/5.1/en/order-by-optimization.html],
provides a description of the internal sort procedure which we will not repeat here, but urge you to read,
because it describes how the buffering and the quicksort mechanisms operate.
See: /sql/sql_select.cc, create_sort_index().

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

MySQL asynchronous master-slave replication enables data synchronization through binlog, improving read performance and high availability. 1) The master server record changes to binlog; 2) The slave server reads binlog through I/O threads; 3) The server SQL thread applies binlog to synchronize data.

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.

The installation and basic operations of MySQL include: 1. Download and install MySQL, set the root user password; 2. Use SQL commands to create databases and tables, such as CREATEDATABASE and CREATETABLE; 3. Execute CRUD operations, use INSERT, SELECT, UPDATE, DELETE commands; 4. Create indexes and stored procedures to optimize performance and implement complex logic. With these steps, you can build and manage MySQL databases from scratch.

InnoDBBufferPool improves the performance of MySQL databases by loading data and index pages into memory. 1) The data page is loaded into the BufferPool to reduce disk I/O. 2) Dirty pages are marked and refreshed to disk regularly. 3) LRU algorithm management data page elimination. 4) The read-out mechanism loads the possible data pages in advance.

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

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.


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