I have two tables
TicketsForSale
ticket_id (PK)
type
category
Transactions
transaction_id (PK)
ticket_id (FK)
I want to get the transactions per type of tickets. This is what I've tried:
SELECT ticketsforsale.type
, COUNT(transactions.ticket_id)
FROM ticketsforsale
INNER JOIN transactions ON ticketsforsale.ticket_id = transactions.ticket_id
GROUP BY ticketsforsale.type
What I hope for as a result is something like this
{
Sports 5
Theater 7
Cruise 8
Cinema 10
}
But instead I get the following :
{ Theater 2
Cruise 1
Sports 1
Sports 2
Cruise 3
Cinema 5
}
The numbers aren't accurate, just used for demonstration.
(The category column is listing the specific show you attend by "purchasing" the ticket. E.G If the type is "Sports", the category could be Basketball or Football or Volleyball etc. etc. ) I just thought that this column could somehow be the issue here, but maybe I'm wrong.
Try this:
select distinct type
, encode(type::bytea,'hex') hex_type
from TicketsForSale order by 1;
You'll probably find that you have multiple type values that appear identical but have different hexadecimal representations. Fix those discrepancies, and the you should be good to go.
Related
I'm new to SQL and am a bit confused on how I would write a query in order to get the count of state in a different table.
Ie i have this table [student]
id
school_code
0
0123
1
2345
2
2345
And this other table [school]
school_code
name
State
0123
xxyy
New Jersey
2345
xyxy
Washington
3456
yxyx
Colarado
I want to find out how I would get this table which tells me the entries for state by checking each student and making a count of how often that state occurs, ordered by most occurrences in student table.
State
No. times occured (iterating through student)
Washington
2
New Jersey
1
SELECT school.state, count(school.state)
FROM student, school
WHERE student.school_code = school.school_code
GROUP BY school.state
ORDER BY count(school.state)`
I'm not sure whether this would be iterating through each student and counting them?
Or just natural-joinging student and school and then counting all the states
When I run this on data supplied, the numbers of times occurred is a really low number which doesn't seem right?
We can simply JOIN the two tables and COUNT the school code in the students table, with GROUP BY state:
SELECT
sc.state, COUNT(st.school_code)
FROM
school sc
JOIN student st
ON sc.school_code = st.school_code
GROUP BY sc.state;
We can try out here: db<>fiddle
I've the following tables
series_trailers:
ID EPISODEID CONTENT AUTHOR
-----------------------------
1 122383 url1 Peter
2 9999 url2 Ana
3 923822 stuff Jhon
4 122384 url3 Drake
series_episodes:
ID TITLE SERIESID
--------------------------------
122383 Episode 1 23
9999 Somethingweird 87
923822 Randomtitle 52
122384 Episode 2 23
series:
ID TITLE
-------------------
23 Stranger Things
87 Seriesname
512 Sometrashseries
As you can see there are three tables: one with the series info, one with the series' episodes and another one which contains urls that redirect to the episode's trailers. I'd like to get the lastest rows from series_trailers but without repeating the series where they're from.
I've tried with SELECT DISTINCT EPISODEID FROM series_trailers ORDER BY id DESCbut there are two rows with the same episodes' series so I'll get the seriies Stranger things twice. Summing up I'd like to display the lastest series with new urls but I don't want to get duplicated series (that's what i'd get with the sql above)
EDIT: What I'm supposed to get:
Last updated series:
Stranger Things
Seriesname
Sometrashseries
What I'd get with my sql code:
Stranger Things
Seriesname
Sometrashseries
Stranger Things (again)
If I understood correctly, here is the latest trailer for the latest episodes (latest as in the highest series ID / series_trailer ID, so most likely added lastest).
WITH MostRecentTrailers
AS (
SELECT MAX(st.ID) "TRAILERID"
,s.ID "SERIESID"
,s.TITLE "SERIESTITLE"
FROM series_trailers st
JOIN series_episodes se ON se.ID = st.EPISODEID
JOIN series s ON s.ID = se.SERIESID
GROUP BY s.ID
,s.TITLE
ORDER BY s.ID DESC
)
SELECT *
FROM MostRecentTrailers mrt
JOIN series_trailers st ON st.ID = mrt.TRAILERID
Let me know if that does it for ya.
Edit: Fixed some typo mistakes.
This gives you the trailer with the highest ID for each episode. This answer is based on the assumption that the episode with the highest ID is the latest one.
select id, content from series_trailer where episode_id in
(select max(id)
from series_episodes
group by seriesid)
I have 2 tables: Customers and Actions, where each customer has uniqe ID (which can be found in each table).
Part of the customers became club members at a specific date (change between the customers). I'm trying to summarize their purchases until that date, and to get those who purchase more than (for example) 200 until they become club members.
For example, I can have the following customer:
custID purchDate purchAmount
1 2015-05-12 100
1 2015-07-12 150
1 2015-12-29 320
Now, assume that custID=1 became a club member at 2015-12-25; in that case, I'd like to get SUM(purchAmount)=250 (pay attention that I'd like to get this customer because 250>200).
I tried the following:
SELECT cust.custID, SUM(purchAmount)totAmount
FROM customers cust
JOIN actions act
ON cust.custID=act.custID
WHERE act.clubMember=1
AND cust.purchDate<act.clubMemberDate
GROUP BY cust.custID
HAVING totAmount>200;
Is it the right way to "attack" this question, or should I use something like while loop over the clubMemberDate (which telling the truth-I don't know how to do)?
I'm working with Teradata.
Your help will be appreciated.
At the moment I am busy with two tables, Students and Classes. These two both contain a column project_group, a way to categorize multiple students from one class into smaller groups.
In the Students table there is a column City that states in which town/city students live, from the rows that have been filled there are already several cities occurring multiple times. The code I used to check how many times a city is being showed is this:
SELECT City, count(*)
FROM Students
GROUP BY City
Now the next thing I want to do is show per class in which cities the students live and how many live there, so for example a result like:
A | - | 2
A | New York | 3
A | Los Angeles | 1
B | - | 1
B | Miami | 2
B | Seattle | 1
Students and Classes can join each other on the column project_group but what I'm mostly interested in his using both the GROUP BY mentioned earlier, using the JOIN and also showing the results per class.
Thanks in advance,
KRAD
I'm not sure what the column name is for A and B in your example. I'm assuming Classes.Class in the following:
SELECT
C.Class
, S.City
, COUNT(S.*) AS Count
FROM
Classes AS C INNER JOIN
Students AS S ON C.Project_Group = S.Project_Group
GROUP BY
C.Class
, S.City
I managed to get it working. While doing some tests to see which exact error message it was that I got, I used this and managed to get it working. I now get an overview per class that shows how many people live in which city. This is the code used.
SELECT class_id, city, count(*) AS amount
FROM students, classes
WHERE students.project_group = classes.project_group
GROUP BY class_id, city
ORDER BY class_id
I have a question about updating multiple rows with different values in MS Access 2010.
Table 1: Food
ID | Favourite Food
1 | Apple
2 | Orange
3 | Pear
Table 2: New
ID | Favourite Food
1 | Watermelon
3 | Cherries
Right now, it looks deceptively simple to execute them separately (because this is just an example). But how would I execute a whole lot of them at the same time if I had, say, 500 rows to update out of 1000 records.
So what I want to do is to update the "Food" table based on the new values from the "New" table.
Would appreciate if anyone could give me some direction / syntax so that I can test it out on MS Access 2010. If this requires VBA, do provide some samples of how I should carry this out programmatically, not manually statement-by-statement.
Thank you!
ADDENDUM (REAL DATA)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
query: FinalScore
Columns: CompetitorNo, Score, Ranking
Note - this query is a query of another query, which in turn, is a query of another query (could there be a potential problem here? There are at least 4 queries before this FinalScore query is derived. Should I post them?)
In the competitors table, all the columns except "Score" and "Ranking" are filled. We would need to take the values from the FinalScore query and insert them into the relevant competitor columns.
Addendum (Brief Explanation of Query)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
Sample Data: AX1234, Simpson, Danny, <blank initially>, <blank initially>
Table: CompetitionRecord
Columns: EventNo (PK composite), CompetitorNo (PK composite), Timing, Bonus
Sample Data1: E01, AX1234, 14.4, 1
Sample Data2: E01, AB1938, 12.5, 0
Sample Data3: E01, BB1919, 13.0, 2
Event No specifies unique event ID
Timing measures the time taken to run 200 metres. The lesser, the better.
Bonus can be given in 3 values (0 - Disqualified, 1 - Normal, 2 - Exceptional). Competitors with Exceptional are given bonus points (5% off their timing).
Query: FinalScore
Columns: CompetitorNo (PK), Score, Ranking
Score is calculated by wins. For example, in the above event (E01), there are three competitors. The winner of the event is BB1919. Winners get 1 point. Losers don't get any points. Those that are disqualified do not receive any points as well.
This query lists the competitors and their cumulative scores (from a list of many events - E01, E02, E03 etc.) and calculates their ranking in the ranking column everytime the query is executed. (For example, a person who wins the most 200m events would be at the top of this list).
Now, I am required to update the Competitors table with this information. The query is rather complex - with all the grouping, summations, rankings and whatnots. Thus, I had to create multiple queries to achieve the end result.
How about:
UPDATE Food
INNER JOIN [New]
ON Food.ID=New.ID
SET Food.[Favourite Food] = New.[Favourite Food]