Concatenates two or more strings into one. Non-string arguments must be explicitly converted to string using the TO_STRING() function.

CONCAT(TO_STRING(float_attr), ',', TO_STRING(int_attr), ',', title)

LEVENSHTEIN ( pattern, source, {normalize=0, length_delta=0}) returns number (Levenshtein distance) of single-character edits (insertions, deletions or substitutions) between pattern and source strings required to make in pattern to make it source.

• pattern, source - constant string, string field name, JSON field name, or any expression that produces a string (like e.g., SUBSTRING_INDEX())
• normalize - option to return the distance as a float number in the range [0.0 - 1.0], where 0.0 is an exact match, and 1.0 is the maximum difference. The default value is 0, meaning not to normalize and provide the result as an integer.
• length_delta - skips Levenshtein distance calculation and returns max(strlen(pattern), strlen(source)) if the option is set and the lengths of the strings differ by more than the length_delta value. The default value is 0, meaning to calculate Levenshtein distance for any input strings. This option can be useful when checking mostly similar strings.

SELECT LEVENSHTEIN('gily', attr1) AS dist, WEIGHT() AS w FROM test WHERE MATCH('test') ORDER BY w DESC, dist ASC;
SELECT LEVENSHTEIN('gily', j.name, {length_delta=6}) AS dist, WEIGHT() AS w FROM test WHERE MATCH('test') ORDER BY w DESC;
SELECT LEVENSHTEIN(title, j.name, {normalize=1}) AS dist, WEIGHT() AS w FROM test WHERE MATCH ('test') ORDER BY w DESC, dist ASC;

The REGEX(attr,expr) function returns 1 if a regular expression matches the attribute's string, and 0 otherwise. It works with both string and JSON attributes.

SELECT REGEX(content, 'box?') FROM test;
SELECT REGEX(j.color, 'red | pink') FROM test;

Expressions should adhere to the RE2 syntax. To perform a case-insensitive search, for instance, you can use:

SELECT REGEX(content, '(?i)box') FROM test;

The SNIPPET() function can be used to highlight search results within a given text. The first two arguments are: the text to be highlighted, and a query. Options can be passed to the function as the third, fourth, and so on arguments. SNIPPET() can obtain the text for highlighting directly from the table. In this case, the first argument should be the field name:

SELECT SNIPPET(body, QUERY()) FROM myIndex WHERE MATCH('my.query')

In this example, the QUERY() expression returns the current full-text query. SNIPPET() can also highlight non-indexed text:

mysql  SELECT id, SNIPPET('text to highlight', 'my.query', 'limit=100') FROM myIndex WHERE MATCH('my.query')

Additionally, it can be used to highlight text fetched from other sources using a User-Defined Function (UDF):

SELECT id, SNIPPET(myUdf(id), 'my.query', 'limit=100') FROM myIndex WHERE MATCH('my.query')

In this context, myUdf() is a User-Defined Function (UDF) that retrieves a document by its ID from an external storage source. The SNIPPET() function is considered a "post limit" function, which means that the computation of snippets is delayed until the entire final result set is prepared, and even after the LIMIT clause has been applied. For instance, if a LIMIT 20,10 clause is used, SNIPPET() will be called no more than 10 times.

It is important to note that SNIPPET() does not support field-based limitations. For this functionality, use HIGHLIGHT() instead.

SELECT SUBSTRING_INDEX('www.w3schools.com', '.', 2) FROM test;
SELECT SUBSTRING_INDEX(j.coord, ' ', 1) FROM test;
SELECT          SUBSTRING_INDEX('1.2 3.4', ' ',  1);  /* '1.2' */
SELECT          SUBSTRING_INDEX('1.2 3.4', ' ', -1);  /* '3.4' */
SELECT sint (   SUBSTRING_INDEX('1.2 3.4', ' ',  1)); /* 1 */
SELECT sint (   SUBSTRING_INDEX('1.2 3.4', ' ', -1)); /* 3 */
SELECT double ( SUBSTRING_INDEX('1.2 3.4', ' ',  1)); /* 1.200000 */
SELECT double ( SUBSTRING_INDEX('1.2 3.4', ' ', -1)); /* 3.400000 */

UPPER(string) convert argument to upper case, LOWER(string) convert argument to lower case.

Result also can be promoted to numeric, but only if string argument is convertible to a number. Numeric values could be promoted with arbitrary functions (BITINT, DOUBLE, etc.).

SELECT upper('www.w3schools.com', '.', 2); /* WWW.W3SCHOOLS.COM  */
SELECT double (upper ('1.2e3')); /* 1200.000000 */
SELECT integer (lower ('12345')); /* 12345 */

Returns the current connection ID.

mysql> select CONNECTION_ID();
+-----------------+
| CONNECTION_ID() |
+-----------------+
| 6               |
+-----------------+
1 row in set (0.00 sec)

Returns KNN vector search distance.

mysql> select id, knn_dist() from test where knn ( image_vector, 5, (0.286569,-0.031816,0.066684,0.032926) ) and match('white') and id < 10;
+------+------------+
| id   | knn_dist() |
+------+------------+
|    2 | 0.81527930 |
+------+------------+
1 row in set (0.00 sec)

Returns the IDs of documents that were inserted or replaced by the last statement in the current session.

The same value can also be obtained via the @@session.last_insert_id variable.

mysql> select @@session.last_insert_id;
+--------------------------+
| @@session.last_insert_id |
+--------------------------+
| 11,32                    |
+--------------------------+
1 rows in set

mysql> select LAST_INSERT_ID();
+------------------+
| LAST_INSERT_ID() |
+------------------+
| 25,26,29         |
+------------------+
1 rows in set   

Returns a "short" universal identifier as a 63-bit unsigned integer following the same algorithm as for auto-id generation.

NOTE: Using uuid_short() will increase the counter used for auto-IDs, so use it carefully. While you can run uuid_short() in queries like SELECT uuid_short() FROM ..., this approach isn't ideal as it may create large gaps in your auto-generated IDs.

mysql> select uuid_short();
+---------------------+
| uuid_short()        |
+---------------------+
| 5839598169280741377 |
+---------------------+
1 row in set (0.00 sec)

mysql> select uuid_short();
+---------------------+
| uuid_short()        |
+---------------------+
| 5839598169280741378 |
+---------------------+
1 row in set (0.00 sec)