RethinkDB queries let you filter on column results using a regular expression match. You can do something very similar to “LIKE”, like so:
r.db('test')
 .table('users')
 .filter( (doc) => doc('user_name').match("test") )
SQL LIKE also treats “_” as any letter – so to reproduce this behavior, you’d need to use a period instead:
r.db('test')
 .table('users')
  .filter( (doc) => doc('user_name').match("t.st") )
If you want to make this case insensitive, you’ll also want to lowercase the table data:
r.db('test')
 .table('users')
  .filter( (doc) => doc('user_name').downcase().match("t.st") )
| 
 first_name 
 | 
 id 
 | 
 last_name 
 | 
 user_name 
 | 
|
| 
 1 
 | 
 test 6 
 | 
 a31dd384-cd63-44c8-addd-cb81db15e278 
 | 
 test 6 
 | 
 test 6 
 | 
| 
 2 
 | 
 test 5 
 | 
 3e9345bf-a16b-4bcd-927f-0ff226bf3228 
 | 
 test 5 
 | 
 test 5 
 | 
| 
 3 
 | 
 test 8 
 | 
 d83d84fb-88e6-413a-8f13-742f77bed5c5 
 | 
 test 8 
 | 
 test 8 
 | 
| 
 4 
 | 
 test 2 
 | 
 a86e769d-32fa-4853-9018-f8c360795304 
 | 
 test 2 
 | 
 test 2 
 | 
| 
 5 
 | 
 test 9 
 | 
 1e1f4b1c-9d72-4473-b997-dfc545bec253 
 | 
 test 9 
 | 
 test 9 
 | 
| 
 6 
 | 
 test 10 
 | 
 edabe8a9-b77e-4446-97aa-be9b7d542784 
 | 
 test 10 
 | 
 test 10 
 | 
| 
 7 
 | 
 test 1 
 | 
 02b2fa2b-7e50-43cc-a476-a14d3b4324ac 
 | 
 test 1 
 | 
 test 
 | 
| 
 8 
 | 
 test 7 
 | 
 d6503bb3-3e85-464e-9019-5beee03d1d9d 
 | 
 test 7 
 | 
 test 7 
 | 
| 
 9 
 | 
 test 3 
 | 
 bfff0d26-f1f1-4a07-9bb6-e54302c5ee05 
 | 
 test 3 
 | 
 test 3 
 | 
| 
 10 
 | 
 test 4 
 | 
 d6c17523-8857-44c4-a014-12ac58764276 
 | 
 test 4 
 | 
 test 4 
 | 
| 
 11 
 | 
 test 
 | 
 cb93de7e-2d91-48ce-956e-4090694e5cb9 
 | 
 test 
 | 
 test 
 |