Sphinx aggregation query

Sphinx is an open source full-text search engine that, although primarily used for full-text search, also supports some aggregated queries. Here are some common aggregation queries supported by Sphinx and their examples: 1. Count aggregation: Counts the total number of results that match query criteria. Example: SELECT COUNT(*) FROM index_name WHERE MATCH('keyword'); 2. Group aggregation: Group the results based on a certain field and calculate the number of each group. Example: SELECT COUNT(*) AS count, field_name FROM index_name WHERE MATCH('keyword') GROUP BY field_name; 3. Sum aggregation: Perform a sum operation on the values of a certain field. Example: SELECT SUM(field_name) FROM index_name WHERE MATCH('keyword'); 4. Average aggregation: Calculate the average value of a certain field. Example: SELECT AVG(field_name) FROM index_name WHERE MATCH('keyword'); 5. Maximum aggregation: Find the maximum value of a certain field. Example: SELECT MAX(field_name) FROM index_name WHERE MATCH('keyword'); 6. Minimum aggregation: Find the minimum value of a certain field. Example: SELECT MIN(field_name) FROM index_name WHERE MATCH('keyword'); It should be noted that the 'index' in the above example_ Name 'is the name of the index in Sphinx,' field '_ Name 'is the name of the field. The above are only some common aggregation query examples supported by Sphinx. In fact, Sphinx also supports more aggregation query operations, which can be selected and used according to specific needs.