SQL - Check For Duplicate Values - javascript
(This project is all written in JS)
So, I have a table called paid_offers, and two columns called offer_id and entity_id
What I'm trying to do is get a count of all the offer_id values associated with a single entity_id.
EDIT: Example: entity_id A has 35 offers available (so, there are 35 rows with unique offer_ids, but all the same entity_id)
So, getting the count is no problem with arrayList.length, but I just need an approach to getting the actual array. Thanks for the help!
EDIT: As per request, more information! I'm going to be using the output as an array.
So, this project is written using Titanium (From appcelerator). I don't need anything besides the query. So, It'd be what's inside the quotes here, for those who don't know.
var offersList = db.execute("SELECT entity_id FROM paid_offers");
Now, the goal is not to just get the list of ID's but instead the list of offer_id values associated with each unique entity_id value. I would think it would look close to:
var offersList = db.execute("SELECT offer_id FROM paid_offers WHERE entity_id = entity_id
Except that wouldn't work, but that's my train of thought while looking through this.
If you're trying to count the offers for each entity, it's
SELECT entity_id, COUNT(offer_id) As Count
FROM paid_offers
GROUP BY entity_id
This will only find entities with at least one offer.
I think what you're after is this...
SELECT offer_id, COUNT(*) As Count
FROM paid_offers
GROUP BY offer_id
Which would give something like.
offer_id Count
1 1
2 4
3 2
...
Note that it will exclude any offer_id that isn't present in the table so there will never be a count of 0
One other note on using the Array.length() to do a count - it returns a (potentially large) recordset to JS which then counts it. This uses a lot of resources for not a lot of benefit - better to do the COUNT in SQL (as shown above) and just get the result.
This isn't simple or possible with pure SQL since each column in the result can always only be a single value but you need a list. Try this approach instead:
select entity_id, offer_id
from paid_offers
In JavaScript, read the results and create an array for each entity_id and append the offer_ids to that array. After processing all the results of the query, you will have the structure that you want. Pseudocode:
data = {}
for (entity_id, offer_id in rows) {
var a = data[entity_id]
if (a === undefined) {
a = []
data[entity_id] = a
}
a.push(offer_id)
}
So how about getting the other column in an array list . Then have an outlet for loop that goes through each offer_id . Then on the inside go through each Entity_id . If more then one entity Id shows up don't delete that offer_id from your final array list .
Or why not just do it with SQL calls ?
Related
array data insertion in mysql and prevent duplicate in node js [duplicate]
I've searched around but didn't find if it's possible. I've this MySQL query: INSERT INTO table (id,a,b,c,d,e,f,g) VALUES (1,2,3,4,5,6,7,8) Field id has a "unique index", so there can't be two of them. Now if the same id is already present in the database, I'd like to update it. But do I really have to specify all these field again, like: INSERT INTO table (id,a,b,c,d,e,f,g) VALUES (1,2,3,4,5,6,7,8) ON DUPLICATE KEY UPDATE a=2,b=3,c=4,d=5,e=6,f=7,g=8 Or: INSERT INTO table (id,a,b,c,d,e,f,g) VALUES (1,2,3,4,5,6,7,8) ON DUPLICATE KEY UPDATE a=VALUES(a),b=VALUES(b),c=VALUES(c),d=VALUES(d),e=VALUES(e),f=VALUES(f),g=VALUES(g) I've specified everything already in the insert... A extra note, I'd like to use the work around to get the ID to! id=LAST_INSERT_ID(id) I hope somebody can tell me what the most efficient way is.
The UPDATE statement is given so that older fields can be updated to new value. If your older values are the same as your new ones, why would you need to update it in any case? For eg. if your columns a to g are already set as 2 to 8; there would be no need to re-update it. Alternatively, you can use: INSERT INTO table (id,a,b,c,d,e,f,g) VALUES (1,2,3,4,5,6,7,8) ON DUPLICATE KEY UPDATE a=a, b=b, c=c, d=d, e=e, f=f, g=g; To get the id from LAST_INSERT_ID; you need to specify the backend app you're using for the same. For LuaSQL, a conn:getlastautoid() fetches the value.
There is a MySQL specific extension to SQL that may be what you want - REPLACE INTO However it does not work quite the same as 'ON DUPLICATE UPDATE' It deletes the old row that clashes with the new row and then inserts the new row. So long as you don't have a primary key on the table that would be fine, but if you do, then if any other table references that primary key You can't reference the values in the old rows so you can't do an equivalent of INSERT INTO mytable (id, a, b, c) values ( 1, 2, 3, 4) ON DUPLICATE KEY UPDATE id=1, a=2, b=3, c=c + 1; I'd like to use the work around to get the ID to! That should work — last_insert_id() should have the correct value so long as your primary key is auto-incrementing. However as I said, if you actually use that primary key in other tables, REPLACE INTO probably won't be acceptable to you, as it deletes the old row that clashed via the unique key. Someone else suggested before you can reduce some typing by doing: INSERT INTO `tableName` (`a`,`b`,`c`) VALUES (1,2,3) ON DUPLICATE KEY UPDATE `a`=VALUES(`a`), `b`=VALUES(`b`), `c`=VALUES(`c`);
There is no other way, I have to specify everything twice. First for the insert, second in the update case.
Here is a solution to your problem: I've tried to solve problem like yours & I want to suggest to test from simple aspect. Follow these steps: Learn from simple solution. Step 1: Create a table schema using this SQL Query: CREATE TABLE IF NOT EXISTS `user` ( `id` int(11) NOT NULL AUTO_INCREMENT, `username` varchar(30) NOT NULL, `password` varchar(32) NOT NULL, `status` tinyint(1) DEFAULT '0', PRIMARY KEY (`id`), UNIQUE KEY `no_duplicate` (`username`,`password`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1; Step 2: Create an index of two columns to prevent duplicate data using following SQL Query: ALTER TABLE `user` ADD INDEX no_duplicate (`username`, `password`); or, Create an index of two column from GUI as follows: Step 3: Update if exist, insert if not using following queries: INSERT INTO `user`(`username`, `password`) VALUES ('ersks','Nepal') ON DUPLICATE KEY UPDATE `username`='master',`password`='Nepal'; INSERT INTO `user`(`username`, `password`) VALUES ('master','Nepal') ON DUPLICATE KEY UPDATE `username`='ersks',`password`='Nepal';
Just in case you are able to utilize a scripting language to prepare your SQL queries, you could reuse field=value pairs by using SET instead of (a,b,c) VALUES(a,b,c). An example with PHP: $pairs = "a=$a,b=$b,c=$c"; $query = "INSERT INTO $table SET $pairs ON DUPLICATE KEY UPDATE $pairs"; Example table: CREATE TABLE IF NOT EXISTS `tester` ( `a` int(11) NOT NULL, `b` varchar(50) NOT NULL, `c` text NOT NULL, UNIQUE KEY `a` (`a`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1;
I know it's late, but i hope someone will be helped of this answer INSERT INTO t1 (a,b,c) VALUES (1,2,3),(4,5,6) ON DUPLICATE KEY UPDATE c=VALUES(a)+VALUES(b); You can read the tutorial below here : https://mariadb.com/kb/en/library/insert-on-duplicate-key-update/ http://www.mysqltutorial.org/mysql-insert-or-update-on-duplicate-key-update/
You may want to consider using REPLACE INTO syntax, but be warned, upon duplicate PRIMARY / UNIQUE key, it DELETES the row and INSERTS a new one. You won't need to re-specify all the fields. However, you should consider the possible performance reduction (depends on your table design). Caveats: If you have AUTO_INCREMENT primary key, it will be given a new one Indexes will probably need to be updated
With MySQL v8.0.19 and above you can do this: mysql doc INSERT INTO mytable(fielda, fieldb, fieldc) VALUES("2022-01-01", 97, "hello") AS NEW(newfielda, newfieldb, newfieldc) ON DUPLICATE KEY UPDATE fielda=newfielda, fieldb=newfieldb, fieldc=newfieldc; SIDENOTE: Also if you want a conditional in the on duplicate key update part there is a twist in MySQL. If you update fielda as the first argument and include it inside the IF clause for fieldb it will already be updated to the new value! Move it to the end or alike. Let's say fielda is a date like in the example and you want to update only if the date is newer than the previous: INSERT INTO mytable(fielda, fieldb) VALUES("2022-01-01", 97) AS NEW(newfielda, newfieldb, newfieldc) ON DUPLICATE KEY UPDATE fielda=IF(fielda<STR_TO_DATE(newfielda,'%Y-%m-%d %H:%i:%s'),newfielda,fielda), fieldb=IF(fielda<STR_TO_DATE(newfielda,'%Y-%m-%d %H:%i:%s'),newfieldb,fieldb); in this case fieldb would never be updated because of the <! you need to move the update of fielda below it or check with <= or =...! INSERT INTO mytable(fielda, fieldb) VALUES("2022-01-01", 97) AS NEW(newfielda, newfieldb, newfieldc) ON DUPLICATE KEY UPDATE fielda=IF(fielda<STR_TO_DATE(newfielda,'%Y-%m-%d %H:%i:%s'),newfielda,fielda), fieldb=IF(fielda=STR_TO_DATE(newfielda,'%Y-%m-%d %H:%i:%s'),newfieldb,fieldb); This works as expected with using = since fielda is already updated to its new value before reaching the if clause of fieldb... Personally i like <= the most in such a case if you ever rearrange the statement...
you can use insert ignore for such case, it will ignore if it gets duplicate records INSERT IGNORE ... ; -- without ON DUPLICATE KEY
Use array or JSON to keep track of unique list
I have an object in Parse .com database that can receive thumbs up votes. I want to keep track of which users have provided a thumbs up to prevent the same user doing it again. I am thinking of adding a field to my object called "voters" that will hold the list of voting users. Should this be an array of usernames or a JSON with keys as the usernames? Why would I use an array if i could use a json map and do O(1) lookup of the names on the keys? ie object.voters[uername] = undefined then no votes?
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