⪢ Adding documents to a table

Adding rules to a percolate table

In a percolate table documents that are percolate query rules are stored and must follow the exact schema of four fields:

field type description
id bigint PQ rule identifier (if omitted, it will be assigned automatically)
query string Full-text query (can be empty) compatible with the percolate table
filters string Additional filters by non-full-text fields (can be empty) compatible with the percolate table
tags string A string with one or many comma-separated tags, which may be used to selectively show/delete saved queries

Any other field names are not supported and will trigger an error.

Warning: Inserting/replacing JSON-formatted PQ rules via SQL will not work. In other words, the JSON-specific operators (match etc) will be considered just parts of the rule's text that should match with documents. If you prefer JSON syntax, use the HTTP endpoint instead of INSERT/REPLACE.

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  • SQL
  • JSON
  • PHP
  • Python
  • Python-asyncio
  • Javascript
  • Java
  • C#
  • Rust
📋
INSERT INTO pq(id, query, filters) VALUES (1, '@title shoes', 'price > 5');
INSERT INTO pq(id, query, tags) VALUES (2, '@title bag', 'Louis Vuitton');
SELECT * FROM pq;
‹›
Response
+------+--------------+---------------+---------+
| id   | query        | tags          | filters |
+------+--------------+---------------+---------+
|    1 | @title shoes |               | price>5 |
|    2 | @title bag   | Louis Vuitton |         |
+------+--------------+---------------+---------+

Auto ID provisioning

If you don't specify an ID, it will be assigned automatically. You can read more about auto-ID here.

‹›
  • SQL
  • JSON
  • PHP
  • Python
  • Python-asyncio
  • Javascript
  • Java
  • C#
  • Rust
📋
INSERT INTO pq(query, filters) VALUES ('wristband', 'price > 5');
SELECT * FROM pq;
‹›
Response
+---------------------+-----------+------+---------+
| id                  | query     | tags | filters |
+---------------------+-----------+------+---------+
| 1657843905795719192 | wristband |      | price>5 |
+---------------------+-----------+------+---------+

No schema in SQL

In case of omitted schema in SQL INSERT command, the following parameters are expected:

  1. ID. You can use 0 as the ID to trigger auto-ID generation.
  2. Query - Full-text query.
  3. Tags - PQ rule tags string.
  4. Filters - Additional filters by attributes.
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  • SQL
SQL
📋
INSERT INTO pq VALUES (0, '@title shoes', '', '');
INSERT INTO pq VALUES (0, '@title shoes', 'Louis Vuitton', '');
SELECT * FROM pq;
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Response
+---------------------+--------------+---------------+---------+
| id                  | query        | tags          | filters |
+---------------------+--------------+---------------+---------+
| 2810855531667783688 | @title shoes |               |         |
| 2810855531667783689 | @title shoes | Louis Vuitton |         |
+---------------------+--------------+---------------+---------+

Replacing rules in a PQ table

To replace an existing PQ rule with a new one in SQL, just use a regular REPLACE command. There's a special syntax ?refresh=1 to replace a PQ rule defined in JSON mode via the HTTP JSON interface.

‹›
  • SQL
  • JSON
📋
mysql> select * from pq;
+---------------------+--------------+------+---------+
| id                  | query        | tags | filters |
+---------------------+--------------+------+---------+
| 2810823411335430148 | @title shoes |      |         |
+---------------------+--------------+------+---------+
1 row in set (0.00 sec)

mysql> replace into pq(id,query) values(2810823411335430148,'@title boots');
Query OK, 1 row affected (0.00 sec)

mysql> select * from pq;
+---------------------+--------------+------+---------+
| id                  | query        | tags | filters |
+---------------------+--------------+------+---------+
| 2810823411335430148 | @title boots |      |         |
+---------------------+--------------+------+---------+
1 row in set (0.00 sec)
Adding documents to a real-time table Adding data from external storages