I have an SQLite database. I am trying to insert values (users_id
, lessoninfo_id
) in table bookmarks
, only if both do not exist before in a row.
INSERT INTO bookmarks(users_id,lessoninfo_id)
VALUES(
(SELECT _id FROM Users WHERE User=\'\"+$(\'#user_lesson\').html()+\"\'),
(SELECT _id FROM lessoninfo
WHERE Lesson=\"+lesson_no+\" AND cast(starttime AS int)=\"+Math.floor(result_set.rows.item(markerCount-1).starttime)+\")
WHERE NOT EXISTS (
SELECT users_id,lessoninfo_id from bookmarks
WHERE users_id=(SELECT _id FROM Users
WHERE User=\'\"+$(\'#user_lesson\').html()+\"\') AND lessoninfo_id=(
SELECT _id FROM lessoninfo
WHERE Lesson=\"+lesson_no+\")))
This gives an error saying:
db error near where syntax.
If you have a table called memos that has two columns id
and text
you should be able to do like this:
INSERT INTO memos(id,text)
SELECT 5, \'text to insert\'
WHERE NOT EXISTS(SELECT 1 FROM memos WHERE id = 5 AND text = \'text to insert\');
If a record already contains a row where text
is equal to \'text to insert\' and id
is equal to 5, then the insert operation will be ignored.
I don\'t know if this will work for your particular query, but perhaps it give you a hint on how to proceed.
I would advice that you instead design your table so that no duplicates are allowed as explained in @CLs answer
below.
If you never want to have duplicates, you should declare this as a table constraint:
CREATE TABLE bookmarks(
users_id INTEGER,
lessoninfo_id INTEGER,
UNIQUE(users_id, lessoninfo_id)
);
(A primary key over both columns would have the same effect.)
It is then possible to tell the database that you want to silently ignore records that would violate such a constraint:
INSERT OR IGNORE INTO bookmarks(users_id, lessoninfo_id) VALUES(123, 456)
For a unique column, use this:
INSERT OR REPLACE INTO table () values();
For more information, see: sqlite.org/lang_insert
insert into bookmarks (users_id, lessoninfo_id)
select 1, 167
EXCEPT
select user_id, lessoninfo_id
from bookmarks
where user_id=1
and lessoninfo_id=167;
This is the fastest way.
For some other SQL engines, you can use a Dummy table containing 1 record.
e.g:
select 1, 167 from ONE_RECORD_DUMMY_TABLE