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Chapter 16 Alternative Storage Engines
Table of Contents [+/-]
- 16.1 Setting the Storage Engine
- 16.2 The MyISAM Storage Engine [+/-]
- 16.3 The MEMORY Storage Engine
- 16.4 The CSV Storage Engine [+/-]
- 16.5 The ARCHIVE Storage Engine
- 16.6 The BLACKHOLE Storage Engine
- 16.7 The MERGE Storage Engine [+/-]
- 16.8 The FEDERATED Storage Engine [+/-]
- 16.9 The EXAMPLE Storage Engine
- 16.10 Other Storage Engines
- 16.11 Overview of MySQL Storage Engine Architecture [+/-]
Storage engines are MySQL components that handle the SQL operations
for different table types. InnoDB
is
the default and most general-purpose storage engine, and Oracle
recommends using it for tables except for specialized use cases.
(The CREATE TABLE
statement in MySQL
8.0 creates InnoDB
tables by
default.)
MySQL Server uses a pluggable storage engine architecture that enables storage engines to be loaded into and unloaded from a running MySQL server.
To determine which storage engines your server supports, use the
SHOW ENGINES
statement. The value in
the Support
column indicates whether an engine
can be used. A value of YES
,
NO
, or DEFAULT
indicates that
an engine is available, not available, or available and currently
set as the default storage engine.
- mysql> SHOW ENGINES\G
- *************************** 1. row ***************************
- Engine: PERFORMANCE_SCHEMA
- Support: YES
- XA: NO
- Savepoints: NO
- *************************** 2. row ***************************
- Support: DEFAULT
- Transactions: YES
- XA: YES
- Savepoints: YES
- *************************** 3. row ***************************
- Support: YES
- XA: NO
- Savepoints: NO
- *************************** 4. row ***************************
- Engine: BLACKHOLE
- Support: YES
- XA: NO
- Savepoints: NO
- *************************** 5. row ***************************
- Engine: MyISAM
- Support: YES
- XA: NO
- Savepoints: NO
- ...
This chapter covers use cases for special-purpose MySQL storage
engines. It does not cover the default
InnoDB
storage engine or the
NDB
storage engine which are covered in
Chapter 15, The InnoDB Storage Engine and
Chapter 22, MySQL NDB Cluster 8.0. For advanced users, it also
contains a description of the pluggable storage engine architecture
(see Section 16.11, “Overview of MySQL Storage Engine Architecture”).
For information about features offered in commercial MySQL Server binaries, see MySQL Editions, on the MySQL website. The storage engines available might depend on which edition of MySQL you are using.
For answers to commonly asked questions about MySQL storage engines, see Section A.2, “MySQL 8.0 FAQ: Storage Engines”.
MySQL 8.0 Supported Storage Engines
InnoDB
: The default storage engine in MySQL 8.0.InnoDB
is a transaction-safe (ACID compliant) storage engine for MySQL that has commit, rollback, and crash-recovery capabilities to protect user data.InnoDB
row-level locking (without escalation to coarser granularity locks) and Oracle-style consistent nonlocking reads increase multi-user concurrency and performance.InnoDB
stores user data in clustered indexes to reduce I/O for common queries based on primary keys. To maintain data integrity,InnoDB
also supportsFOREIGN KEY
referential-integrity constraints. For more information aboutInnoDB
, see Chapter 15, The InnoDB Storage Engine.MyISAM
: These tables have a small footprint. Table-level locking limits the performance in read/write workloads, so it is often used in read-only or read-mostly workloads in Web and data warehousing configurations.Memory
: Stores all data in RAM, for fast access in environments that require quick lookups of non-critical data. This engine was formerly known as theHEAP
engine. Its use cases are decreasing;InnoDB
with its buffer pool memory area provides a general-purpose and durable way to keep most or all data in memory, andNDBCLUSTER
provides fast key-value lookups for huge distributed data sets.CSV
: Its tables are really text files with comma-separated values. CSV tables let you import or dump data in CSV format, to exchange data with scripts and applications that read and write that same format. Because CSV tables are not indexed, you typically keep the data inInnoDB
tables during normal operation, and only use CSV tables during the import or export stage.Archive
: These compact, unindexed tables are intended for storing and retrieving large amounts of seldom-referenced historical, archived, or security audit information.Blackhole
: The Blackhole storage engine accepts but does not store data, similar to the Unix/dev/null
device. Queries always return an empty set. These tables can be used in replication configurations where DML statements are sent to slave servers, but the master server does not keep its own copy of the data.NDB
(also known asNDBCLUSTER
): This clustered database engine is particularly suited for applications that require the highest possible degree of uptime and availability.Merge
: Enables a MySQL DBA or developer to logically group a series of identicalMyISAM
tables and reference them as one object. Good for VLDB environments such as data warehousing.Federated
: Offers the ability to link separate MySQL servers to create one logical database from many physical servers. Very good for distributed or data mart environments.Example
: This engine serves as an example in the MySQL source code that illustrates how to begin writing new storage engines. It is primarily of interest to developers. The storage engine is a “stub” that does nothing. You can create tables with this engine, but no data can be stored in them or retrieved from them.
You are not restricted to using the same storage engine for an
entire server or schema. You can specify the storage engine for any
table. For example, an application might use mostly
InnoDB
tables, with one CSV
table for exporting data to a spreadsheet and a few
MEMORY
tables for temporary workspaces.
Choosing a Storage Engine
The various storage engines provided with MySQL are designed with different use cases in mind. The following table provides an overview of some storage engines provided with MySQL, with clarifying notes following the table.
Table 16.1 Storage Engines Feature Summary
Feature | MyISAM | Memory | InnoDB | Archive | NDB |
---|---|---|---|---|---|
B-tree indexes | Yes | Yes | Yes | No | No |
Backup/point-in-time recovery (note 1) | Yes | Yes | Yes | Yes | Yes |
Cluster database support | No | No | No | No | Yes |
Clustered indexes | No | No | Yes | No | No |
Compressed data | Yes (note 2) | No | Yes | Yes | No |
Data caches | No | N/A | Yes | No | Yes |
Encrypted data | Yes (note 3) | Yes (note 3) | Yes (note 4) | Yes (note 3) | Yes (note 3) |
Foreign key support | No | No | Yes | No | Yes (note 5) |
Full-text search indexes | Yes | No | Yes (note 6) | No | No |
Geospatial data type support | Yes | No | Yes | Yes | Yes |
Geospatial indexing support | Yes | No | Yes (note 7) | No | No |
Hash indexes | No | Yes | No (note 8) | No | Yes |
Index caches | Yes | N/A | Yes | No | Yes |
Locking granularity | Table | Table | Row | Row | Row |
MVCC | No | No | Yes | No | No |
Replication support (note 1) | Yes | Limited (note 9) | Yes | Yes | Yes |
Storage limits | 256TB | RAM | 64TB | None | 384EB |
T-tree indexes | No | No | No | No | Yes |
Transactions | No | No | Yes | No | Yes |
Update statistics for data dictionary | Yes | Yes | Yes | Yes | Yes |
Notes:
1. Implemented in the server, rather than in the storage engine.
2. Compressed MyISAM tables are supported only when using the compressed row format. Tables using the compressed row format with MyISAM are read only.
3. Implemented in the server via encryption functions.
4. Implemented in the server via encryption functions; In MySQL 5.7 and later, data-at-rest tablespace encryption is supported.
5. Support for foreign keys is available in MySQL Cluster NDB 7.3 and later.
6. InnoDB support for FULLTEXT indexes is available in MySQL 5.6 and later.
7. InnoDB support for geospatial indexing is available in MySQL 5.7 and later.
8. InnoDB utilizes hash indexes internally for its Adaptive Hash Index feature.
9. See the discussion later in this section.
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