MySQL optimization based on TokuDB engine: improving writing and compression performance

MySQL optimization based on TokuDB engine: improving writing and compression performance

Introduction:
As a commonly used relational database management system, MySQL is facing increasing challenges in the context of the big data era. coming with higher write pressure and storage requirements. To meet this challenge, TokuDB engine came into being. This article will introduce how to use the TokuDB engine to improve MySQL's writing performance and compression performance.

1. What is TokuDB engine?
TokuDB engine is a storage engine for big data that handles high write loads and compresses data. It uses a variety of technologies to improve writing performance and compression ratio, including Fractal Tree index, LSM tree (Log-Structured Merge Tree), multi-threaded writing, discrete compression and hotspot caching.

2. How to install TokuDB engine?
Before installing MySQL, we need to download the TokuDB plug-in and compile it into MySQL. The following are the installation steps:

1. Download the TokuDB plug-in:
   git clone https://github.com/Tokutek/tokudb-engine.git
2. Enter the download directory:
   cd tokudb-engine
3. Switch to the desired version branch (for example, 5.7):
   git checkout branch-5.7
4. Execute the compilation command:
   ./configure - -prefix=MySQL installation path
   make
   sudo make install

After the installation is complete, add the following configuration in the my.cnf file of MySQL:

[mysqld]
default-storage-engine = TokuDB
tokudb_cache_size = 4G

The above configuration , we set the default-storage-engine to TokuDB and specified the TokuDB cache size to be 4G.

3. How to optimize writing performance?
TokuDB engine has significant advantages in writing. The following are some optimization strategies and sample codes:

1. Use multi-threaded writing:
   TokuDB engine supports multi-threaded writing Enter, you can enable the multi-threaded writing function by setting the following parameters:

   tokudb_loader_threads = 8

   This example will enable 8 writing threads, you can adjust it according to the specific environment.

2. Batch insert:
   TokuDB engine has higher performance for batch insert. The following is a sample code for batch insertion:

   INSERT INTO table_name (column1, column2)
   VALUES (value1, value2),
          (value3, value4),
          ...

3. Delayed index creation:
   The TokuDB engine allows index creation after inserting data, which can greatly speed up write operations. The following is a sample code for delayed index creation:

   ALTER TABLE table_name ADD INDEX index_name (column1) WITH ONLINE=1;

4. How to optimize compression performance?
TokuDB engine uses discrete compression to reduce the space occupied by data. The following are some optimization strategies and sample codes:

1. Compression level settings:
   TokuDB engine provides multiple Several compression levels can be selected and can be set through the following parameters:

   tokudb_compress_algorithm = quicklz
   tokudb_compress_algorithm = zlib
   tokudb_compress_algorithm = snappy

   quicklz is an algorithm with fast compression speed but low compression ratio, zlib is a compromise algorithm, and snappy is a slightly slower compression speed but higher compression ratio. algorithm.

2. Discrete compression configuration:
   The TokuDB engine's discrete compression can be optimized with the following configuration:

   tokudb_compress_leveldb_block_size = 64K
   tokudb_fanout = 32

   This example configures a 64KB block size and a 32-way The number of forks can be adjusted according to different situations.

Conclusion:
TokuDB engine is a powerful storage engine that can effectively improve MySQL's writing performance and compression performance. By properly configuring and using the optimization strategies of the TokuDB engine, we can better cope with database challenges in the big data era. I hope this article will help you understand and use the TokuDB engine.

References:

• https://github.com/Tokutek/tokudb-engine

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