1 row in set (0.00 sec) 

Executing the SELECT  statement without the spatial index yields the same result but causes the execution time to rise from 0.00 seconds to 0.46 seconds: 

## 11.5 The JSON Data Type 

mysql> SET @poly = -> ’Polygon((30000 15000, 31000 15000, 31000 16000, 30000 16000, 30000 15000))’; mysql> SELECT fid,ST_AsText(g) FROM geom IGNORE INDEX (g) WHERE -> MBRContains(ST_GeomFromText(@poly),g); +-----+---------------------------------------------------------------+ | fid | ST_AsText(g) | +-----+---------------------------------------------------------------+ | 1 | LINESTRING(30250.4 15129.2,30248.8 15138.4,30238.2 15136. ... | | 2 | LINESTRING(30220.2 15122.8,30217.2 15137.8,30207.6 15136, ... | | 3 | LINESTRING(30179 15114.4,30176.6 15129.4,30167 15128,3016 ... | | 4 | LINESTRING(30155.2 15121.4,30140.4 15118.6,30142 15109,30 ... | | 5 | LINESTRING(30192.4 15085,30177.6 15082.2,30179.2 15072.4, ... | | 6 | LINESTRING(30244 15087,30229 15086.2,30229.4 15076.4,3024 ... | | 7 | LINESTRING(30200.6 15059.4,30185.6 15058.6,30186 15048.8, ... | | 10 | LINESTRING(30179.6 15017.8,30181 15002.8,30190.8 15003.6, ... | | 11 | LINESTRING(30154.2 15000.4,30168.6 15004.8,30166 15014.2, ... | | 13 | LINESTRING(30105 15065.8,30108.4 15050.8,30118 15053,3011 ... | | 21 | LINESTRING(30350.4 15828.8,30350.6 15845,30333.8 15845,30 ... | | 22 | LINESTRING(30350.6 15871.4,30350.6 15887.8,30334 15887.8, ... | | 23 | LINESTRING(30350.6 15914.2,30350.6 15930.4,30334 15930.4, ... | | 24 | LINESTRING(30290.2 15823,30290.2 15839.4,30273.4 15839.4, ... | | 25 | LINESTRING(30291.4 15866.2,30291.6 15882.4,30274.8 15882. ... | | 26 | LINESTRING(30291.6 15918.2,30291.6 15934.4,30275 15934.4, ... | | 154 | LINESTRING(30276.2 15143.8,30261.4 15141,30263 15131.4,30 ... | | 155 | LINESTRING(30269.8 15084,30269.4 15093.4,30258.6 15093,30 ... | | 157 | LINESTRING(30128.2 15011,30113.2 15010.2,30113.6 15000.4, ... | | 249 | LINESTRING(30337.8 15938.6,30337.8 15946.8,30320.4 15946. ... | +-----+---------------------------------------------------------------+ 20 rows in set (0.46 sec) 

•Creating JSON Values 

•Normalization, Merging, and Autowrapping of JSON Values 

•Searching and Modifying JSON Values 

•JSON Path Syntax 

•Comparison and Ordering of JSON Values 

•Converting between JSON and non-JSON values 

•Aggregation of JSON Values 

MySQL supports a native JSON  data type defined by RFC 7159 that enables efficient access to data in JSON (JavaScript Object Notation) documents. The JSON  data type provides these advantages over storing JSON-format strings in a string column: 

•Automatic validation of JSON documents stored in JSON  columns. Invalid documents produce an error. 

•Optimized storage format. JSON documents stored in JSON  columns are converted to an internal format that permits quick read access to document elements. When the server later must read a JSON value 

