The CSV Storage Engine in Software

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The CSV Storage Engine
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The CSV storage engine provides a convenient way to merge the portability of text files with the power of SQL queries CSV tables are essentially plain ASCII files, with commas separating each field of a record This format is easily understood by non-SQL applications, such as Microsoft Excel, and thus allows data to be easily transferred between SQL and non-SQL environments A fairly obvious limitation, however, is that CSV tables don t support indexing and SELECT operations must, therefore, perform a full table scan, with the attendant impact on performance CSV tables also don t support the NULL data type
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The MERGE Storage Engine
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A MERGE table is a virtual table created by combining multiple MyISAM tables into a single table Such a combination of tables is only possible if the tables involved have completely identical table structures Any difference in field types or indexes won t permit a successful union A MERGE table uses the indexes of its component tables and doesn t maintain any indexes of its own, which can improve its speed in certain situations MERGE tables permit SELECT, DELETE, and UPDATE operations, and can come in handy when you need to pull together data from different tables or to speed up performance in joins or searches between a series of tables
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The ISAM Storage Engine
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ISAM tables are similar to MyISAM tables, although they lack many of the performance enhancements of the MyISAM format and, therefore, don t offer the optimization and performance efficiency of that type Because ISAM indexes cannot be compressed, they use fewer system resources than their MyISAM counterparts ISAM indexes also require more disk space, however, which can be a problem in small-footprint environments Like MyISAM, ISAM tables can be either fixed-length or dynamic-length, though maximum key lengths are smaller with the ISAM format The format cannot handle tables greater than 4GB, and the tables aren t immediately portable across different platforms In addition, the ISAM table format is more prone to fragmentation, which can reduce query speed, and has limited support for data/index compression
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note MySQL versions prior to MySQL 51 included the ISAM storage engine primarily
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for compatibility with legacy tables This storage engine is no longer supported as of MySQL 51
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What Is a Temporary Table Is It the Same as a Table Created with the Memory Storage Engine
No Memory tables, which are created by adding the ENGINE=MEMORY modifier to a CREATE TABLE statement, remain extant during the lifetime of the server They are destroyed once the server process is terminated; however, while extant, they are visible to all connecting clients Temporary tables, which are initialized with the CREATE TEMPORARY TABLE statement, are a different kettle of fish These tables are client-specific and remain in existence only for the duration of a single client session They can use any of MySQL s supported storage engines, but they are automatically deleted when the client that created them closes its connection with the MySQL server As such, they come in handy for transient, session-based data storage or calculations And, because they re session-dependent, two different client sessions can use the same table name without conflicting
The NDB Storage Engine
The NDB storage engine implements a high-availability, in-memory table type designed only for use in clustered MySQL server environments The NDB format supports large table files (up to 384EB in size), variable-length fields, and replication However, NDB tables don t support foreign keys, savepoints, or statement-based replication, and limit the number of fields and indexes per table to 128
note A new addition to MySQL is the Blackhole storage engine As you might guess from
the name, this is MySQL s equivalent of a bit bucket: Any data entered into a Blackhole table immediately disappears, never to be seen again This storage engine isn t just the MySQL development team s idea of a joke, however it does have some utility as a cheap SQL syntax verification tool, a statement logger, or a replication filter
Storage Engine Selection Checklist
To decide the most appropriate storage engine for a table, take into account the following factors: Frequency of reads versus writes Whether transactional support is needed
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