MyRocks engine: Improve MySQL's IO efficiency and storage capacity

MyRocks Engine: Improving MySQL’s IO efficiency and storage capacity

With the development of the Internet, the explosive growth of data volume has put forward higher requirements for the storage capacity and reading and writing efficiency of the database. As one of the most widely used relational databases, MySQL has been continuously improved and optimized. Among them, the MyRocks engine, as a storage engine of MySQL, has received widespread attention for its excellent IO efficiency and storage capacity advantages.

MyRocks is a storage engine open sourced by Facebook. Its main advantage lies in the optimization of IO efficiency and storage capacity. Compared with InnoDB, MyRocks adopts a more compact data storage method, which can significantly reduce disk space usage. At the same time, the MyRocks engine uses less memory and is suitable for processing large volumes of data.

1. Installation and configuration of MyRocks engine
In order to use the MyRocks engine, you first need to ensure that the running MySQL version is above 5.6.x. Then, we need to download the source code of the MyRocks engine, compile and install it. The following is a simple example:

1. Download the source code of MyRocks:
   $ git clone https://github.com/facebook/mysql-5.6.git
2. Compile MyRocks Engine:
   $ cd mysql-5.6
   $ git submodule init rocksdb
   $ git submodule update --recursive
   $ cmake . -DWITH_ROCKSDB=1 -DCMAKE_INSTALL_PREFIX=/your/install/path
   $ make
   $ make install
3. Modify MySQL configuration file my.cnf:
   [mysqld]
   default_storage_engine=rocksdb

2. Advantages of MyRocks engine And application scenarios

1. Improve IO efficiency:
   MyRocks uses the Log-structured Merge-Tree (LSM-Tree) storage method to cache the written data in the memtable in the memory. Then the background thread writes it to the immutable memtable on the disk, and finally the merge operation is performed. This method reduces random IO write operations and improves writing efficiency.
2. Save storage space:
   MyRocks adopts a more compact data storage method, adopts a compression algorithm, and supports column compression of the data dictionary, which can significantly reduce data storage space. This is useful for scenarios where large amounts of data are stored.

3. Code example using MyRocks engine
The following is a simple code example using MyRocks engine:

1. Create a table using MyRocks engine:
   CREATE TABLE my_table (
   id INT PRIMARY KEY,
   name VARCHAR(50)
   ) ENGINE=ROCKSDB;
2. Insert data into the table:
   INSERT INTO my_table (id , name) VALUES (1, 'John');
3. Query data:
   SELECT * FROM my_table;

Through the above sample code, we can see that using The MyRocks engine is basically the same as the code using other storage engines, which is convenient and fast.

Summary:
MyRocks engine, as a storage engine of MySQL, promotes the development of MySQL in big data storage and processing with its excellent IO efficiency and storage capacity advantages. By properly configuring and using the MyRocks engine, we can improve MySQL's reading and writing efficiency and save a lot of storage space. However, it should be noted that when using the MyRocks engine, it will also bring some new problems and challenges, such as the impact of merge operations on system performance, etc., so careful evaluation and trade-offs are required.

In any case, the emergence of the MyRocks engine undoubtedly provides more possibilities for MySQL performance optimization and storage expansion, providing developers and enterprises with better choices when processing big data.

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