SELECT latest data from 2 joined tables - mysql

I have looked pretty hard through other SQL query questions but have been unable to narrow down a response that seems to work in my case... so here goes.
I have two mySQL tables:
players:
pid
pname
player_stats:
pid
statdate
rank
score
I would like to show output of the players name and their latest score and rank like this:
player1 | rank10 | 123345
player2 | rank15 | 480993
I have played around with max(statdate) and GROUP BY on pname but the closest I have gotten is below, which gives me the right number of rows but not the latest date (thus not the latest rank or score).
SELECT p.pname, s.rank, s.score
FROM players p INNER JOIN player_stats s ON p.pid = s.pid
GROUP BY p.pname
as mentioned this is close but the rank/score are not always the last date's

You can have an extra join in a subquery which separately get the latest date for every pid.
The subquery contains only two columns: pid and statdate. To get the other columns you need to join it with the other table.
SELECT a.pname, b.rank, b.score
FROM players a
INNER JOIN player_stats b
ON a.pid = b.pid
INNER JOIN
(
SELECT pid, MAX(statdate) statdate
FROM player_stats
GROUP BY pid
) c ON b.pid = c.pid
AND b.statdate = c.statdate

Related

Count comments and get average rating from mysql

I just can't figure out how to get average rating and count comments from my mysql database.
I have 3 tables (activity, rating, comments) activity contains the main data the "activities", rating holds the ratings and comments - of course, the ratings.
activity_table
id | title |short_desc | long_desc | address | lat | long |last_updated
rating_table
id | activityid | userid | rating
comment_table
id | activityid | userid | rating
I'm now trying to the data from activity plus the comment_counts and average_rating in one query.
SELECT activity.*, AVG(rating.rating) as average_rating, count(comments.activityid) as total_comments
FROM activity LEFT JOIN
rating
ON activity.aid = rating.activityid LEFT JOIN
comments
ON activity.aid = comments.activityid
GROUP BY activity.aid
...doesn't do the job. It gives me the right average_rating, but the wrong amount of comments.
Any ideas?
Thanks a lot!
You are aggregating along two different dimensions. The Cartesian product generated by the joins affects the aggregation.
So, you should aggregate before the joins:
SELECT a.*, r.average_rating, COALESCE(c.total_comments, 0) as total_comments
FROM activity a LEFT JOIN
(SELECT r.activityid, AVG(r.rating) as average_rating
FROM rating r
GROUP BY r.activityid
) r
ON a.aid = r.activityid LEFT JOIN
(SELECT c.activityid, COUNT(*) as total_comments
FROM comments c
GROUP BY c.activityid
) c
ON a.aid = c.activityid;
Notice that the outer GROUP BY is no longer needed.

SQL query to get results between 2 tables, and the second one has 3 possibilities of returning data

Even though my question was warned as similar title, I couldn't find here any similar problem. Let me explain in details:
I've got two tables (I'm working with MySQL) with these values inserted:
table products:
id name
1 TV
2 RADIO
3 COMPUTER
table sales (product_id is A FK which references products(id)):
id quantity product_id
1 50 2
2 100 3
3 200 3
The tv's haven't been sold, radios got 1 sale (of 50 unities) and computers got two sales (one of 100 e other of 200 unities);
Now I must create a query where I can show the products and its sales, but there are some conditions that make that task difficult:
1 - If there's no sales, show obviously NULL;
2 - If there's 1 sale, show that sale;
3 - If there's more than 1 sale, show the latest sale (which I've tried to use function MAX(id) to make it simple, and yet didn't worked);
In the tables example above, I expect to show this, after a proper SQL Query:
products.NAME sales.QUANTITY
TV NULL
RADIO 50
COMPUTER 200
I've been trying lots of joins, inner joins, etc., but couldn't find the result I expect. Which SQL query can give the answer I expect?
Any help will be very appreciated.
Thanks.
Hope the below query works.
SELECT products.name, sl.quantity
FROM products LEFT JOIN (
SELECT product_id, max(quantity) as quantity FROM sales GROUP BY product_id) sl
ON products.id = sl.product_id
In MySQL 8.0 you can do:
with m (product_id, max_id) as ( -- This is a CTE
select product_id, max(id) from sales group by product_id
)
select
p.name,
s.quantity
from products p
left join m on m.product_id = p.id
left join sales s on s.id = m.max_id
If you have an older MySQL, you can use a Table Expression:
select
p.name,
s.quantity
from products p
left join ( -- This is a table expression
select product_id, max(id) as max_id from sales group by product_id
) m on m.product_id = p.id
left join sales s on s.id = m.max_id

Sql conditional count with join

I cannot find the answer to my problem here on stackoverflow. I have a query that spans 3 tables:
newsitem
+------+----------+----------+----------+--------+----------+
| Guid | Supplier | LastEdit | ShowDate | Title | Contents |
+------+----------+----------+----------+--------+----------+
newsrating
+----+----------+--------+--------+
| Id | NewsGuid | UserId | Rating |
+----+----------+--------+--------+
usernews
+----+----------+--------+----------+
| Id | NewsGuid | UserId | ReadDate |
+----+----------+--------+----------+
Newsitem obviously contains newsitems, newsrating contains ratings that users give to newsitems, and usernews contains the date when a user has read a newsitem.
In my query I want to get every newsitem, including the number of ratings for that newsitem and the average rating, and how many times that newsitem has been read by the current user.
What I have so far is:
select newsitem.guid, supplier, count(newsrating.id) as numberofratings,
avg(newsrating.rating) as rating,
count(case usernews.UserId when 3 then 1 else null end) as numberofreads from newsitem
left join newsrating on newsitem.guid = newsrating.newsguid
left join usernews on newsitem.guid = usernews.newsguid
group by newsitem.guid
I have created an sql fiddle here: http://sqlfiddle.com/#!9/c8add/8
Both count() calls don't return the numbers I want. numberofratings should return the total number of ratings for that newsitem (by all users). numberofreads should return the number of reads for the current user for that newsitem.
So, newsitem with guid d104c330-c319-40e8-8be3-a7c4f549d35c should have 2 ratings and 3 reads for the current user with userid = 3.
I have tried conditional counts and sums, but no success yet. How can this be accomplished?
The main problem that I see is that you're joining in both tables together, which means that you're going to effectively be multiplying out by both numbers, which is why your counts aren't going to be correct. For example, if the Newsitem has been read 3 times by the user and rated by 8 users then you're going to end up getting 24 rows, so it will look like it has been rated 24 times. You can add a DISTINCT to your COUNT of the ratings IDs and that should correct that issue. Average should be unaffected because the average of 1 and 2 is the same as the average of 1, 1, 2, & 2 (for example).
You can then handle the reads by adding the userid to the JOIN condition (since it's an OUTER JOIN it shouldn't cause any loss of results) instead of in a CASE statement for your COUNT, then you can do a COUNT on distinct id values from Usernews. The resulting query would be:
SELECT
I.guid,
I.supplier,
COUNT(DISTINCT R.id) AS number_of_ratings,
AVG(R.rating) AS avg_rating,
COUNT(DISTINCT UN.id) AS number_of_reads
FROM
NewsItem I
LEFT OUTER JOIN NewsRating R ON R.newsguid = I.guid
LEFT OUTER JOIN UserNews UN ON
UN.newsguid = I.guid AND
UN.userid = #userid
GROUP BY
I.guid,
I.supplier
While that should work, you might get better results from a subquery, as the above needs to explode out the results and then aggregate them, perhaps unnecessarily. Also, some people might find the below to be a little clearer.
SELECT
I.guid,
I.supplier,
R.number_of_ratings,
R.avg_rating,
COUNT(*) AS number_of_reads
FROM
NewsItem I
LEFT OUTER JOIN
(
SELECT
newsguid,
COUNT(*) AS number_of_ratings,
AVG(rating) AS avg_rating
FROM
NewsRating
GROUP BY
newsguid
) R ON R.newsguid = I.guid
LEFT OUTER JOIN UserNews UN ON UN.newsguid = I.guid AND UN.userid = #userid
GROUP BY
I.guid,
I.supplier,
R.number_of_ratings,
R.avg_rating
I'm with Tom you should use a subquery to calculate the user count.
SQL Fiddle Demo
SELECT NI.guid,
NI.supplier,
COUNT(NR.ID) as numberofratings,
AVG(NR.rating) as rating,
user_read as numberofreads
FROM newsitem NI
LEFT JOIN newsrating NR
ON NI.guid = NR.newsguid
LEFT JOIN (SELECT NewsGuid, COUNT(*) user_read
FROM usernews
WHERE UserId = 3 -- use a variable #user_id here
GROUP BY NewsGuid) UR
ON NI.guid = UR.NewsGuid
GROUP BY NI.guid,
NI.supplier,
numberofreads;

query left join or data insert?

OK - I have three tables, structured below
tbl_1
------
userid
teamid
teamname
eliminated
tbl_2
------
teamid
week
team
tbl_3
------
team
NFLname
nfl-schedule
------
week
time
awayteam (same as "team" in tbl_3)
hometeam (same as "team" in tbl_3)
This is a query on a "survivor league" where I need to get the teamid, teamname, eliminated, team, week, and NFLname for each week. If a user hasn't selected a team for this week, week 2 for instance, I want to see a blank row for that week. I"m assuming I could backfill the rows into the database for each teamid, but was wondering if I could do this simply with sql and some inner joins?
select a.teamid, a.teamname, a.eliminated, b.team, b.week, c.NFLnamefrom `tbl_1` a
left join `tbl_2` b on a.teamid = b.teamid
left join `tbl_3` c on c.`team` = b.team
where a.userid = XXX
You can use left joins for this, but you have to take care of the order you use the tables.
Another problem would be when there is a pick for this week from another user, so I think you would have to use a subquery like this:
select w.week,t.teamid,t.teamname,t.eliminated,t.team,t.NFLname
from nfl-schedule w
left join (
select a.teamid, a.teamname, a.eliminated, b.team, b.week, c.NFLname
from `tbl_1` a
left join `tbl_2` b on a.teamid = b.teamid
left join `tbl_3` c on c.`team` = b.team
where a.userid = XXX
) t on w.week = t.week

Select data based on another table

I have three tables, I'll just list the important columns
db_players
id | name
players
id | teamid | careerid
db_teams
The db_teams id links to the players teamid.
I need to run a query where I select rows from db_players as long as db_teams.id isn't in a row in players as teamid where the careerid = 1.
I've never attempted this type of query with mysql before, I know I could do two queries and involve php but I'm intrigued as to whether it's possible with a pure db query.
Thanks.
EDIT - simpler now.
SELECT dp.first_name
FROM tbl_foot_career_db_players dp
INNER JOIN tbl_foot_career_players p
ON p.playerid != dp.id
WHERE p.careerid = 1
The idea is that I want to return all rows from tbl_foot_career_db_players WHERE the id from that table isn't present in a row in tbl_foot_career_players in the column playerid. And the tbl_foot_career_players.careerid must also equal 1.
List all db_players that are not in players with career = 1
SELECT d.*
FROM db_players d
LEFT JOIN players p
ON p.player_id = d.id
AND p.career = 1
WHERE p.id IS NULL
Try to JOIN them with db_players id is not in players teamid.
SELECT db_players.* FROM db_players
LEFT JOIN players ON players.id != db_players.id
LEFT JOIN db_teams ON players.teamid = db_teams.id
WHERE careerid = 1