Documentation Home
MySQL 5.7 Reference Manual
Related Documentation Download this Manual
PDF (US Ltr) - 35.7Mb
PDF (A4) - 35.8Mb
PDF (RPM) - 34.8Mb
EPUB - 8.7Mb
HTML Download (TGZ) - 8.5Mb
HTML Download (Zip) - 8.5Mb
HTML Download (RPM) - 7.3Mb
Eclipse Doc Plugin (TGZ) - 9.3Mb
Eclipse Doc Plugin (Zip) - 11.5Mb
Man Pages (TGZ) - 203.7Kb
Man Pages (Zip) - 309.0Kb
Info (Gzip) - 3.4Mb
Info (Zip) - 3.4Mb
Excerpts from this Manual

MySQL 5.7 Reference Manual  /  ...  /  Optimizing Spatial Analysis

12.5.3.5 Optimizing Spatial Analysis

For MyISAM and (as of MySQL 5.7.5) InnoDB tables, search operations in columns containing spatial data can be optimized using SPATIAL indexes. The most typical operations are:

  • Point queries that search for all objects that contain a given point

  • Region queries that search for all objects that overlap a given region

MySQL uses R-Trees with quadratic splitting for SPATIAL indexes on spatial columns. A SPATIAL index is built using the minimum bounding rectangle (MBR) of a geometry. For most geometries, the MBR is a minimum rectangle that surrounds the geometries. For a horizontal or a vertical linestring, the MBR is a rectangle degenerated into the linestring. For a point, the MBR is a rectangle degenerated into the point.

It is also possible to create normal indexes on spatial columns. In a non-SPATIAL index, you must declare a prefix for any spatial column except for POINT columns.

MyISAM and InnoDB support both SPATIAL and non-SPATIAL indexes. Other storage engines support non-SPATIAL indexes, as described in Section 14.1.14, “CREATE INDEX Syntax”.


User Comments
Sign Up Login You must be logged in to post a comment.