Cascading query SQL SERVER - sql

I have 3 SQL SERVER data tables :
TBL_HOUSE :
|"ID_HOUSE"|"ID_PERSONS"|"QTY_PERSONS"|
|"1" |"|1|2|3|" |"|1|2|1|" |
|"2" |"|2|" |"|3|" |
TBL_PERSON :
|"ID_PERSON"|"ID_PETS"|"QTY_PETS"|
|"1" |"|3|1|" |"|1|2|" |
|"2" |"|1|2|" |"|3|1|" |
TBL_PET :
|"ID_PET"|"PET_TYPE"|"PET_PRICE"|
|"1" |"DOG" |"500" |
|"2" |"CAT" |"200" |
I have to make two queries.
The first for retrieve the number of each PET in a house.
ie. : In the HOUSE"2", there is 3 PERSON"2"
for each PERSON"2" there is 3 DOG and 1 CAT
In total in the HOUSE"2" is 9 DOG and 3 CAT.
The second to get the total value of pets in a house.
In HOUSE"2", the total value is 5100. (3*(3*500+1*200) = 5100)
Can you help me to write these queries?
Thanks a lot.

Sorry, it's all I can do for you. Your DataBase design makes me feel sick.
This query return you TBL_Person table in a NORMAL form. I hope you are smart enough to do the same with another tables and count all amounts that you need.
WITH Split(id_person, stpos_pets, stpos_qpets,endpos_pets, endpos_qpets)
AS(
SELECT id_person, 0 AS stpos_pets, 0 AS stpos_qpets, CHARINDEX('|',id_pets) AS endpos_pets, CHARINDEX('|',qty_pets) AS endpos_qpets
from TBL_PERSON
UNION ALL
SELECT TBL_PERSON.id_person, endpos_pets+1,endpos_qpets+1, CHARINDEX('|',id_pets,endpos_pets+1),CHARINDEX('|',qty_pets,endpos_qpets+1)
FROM TBL_PERSON,Split
WHERE endpos_pets > 0 AND #t.id_person=split.id_person
)
SELECT 'Id' = TBL_PERSON.id_person,
'Pets' = SUBSTRING(id_pets,stpos_pets,COALESCE(NULLIF(endpos_pets,0),LEN('|3|1|')+1)-stpos_pets),
'Quantity' = SUBSTRING(qty_pets,stpos_qpets,COALESCE(NULLIF(endpos_qpets,0),LEN('|3|1|')+1)-stpos_qpets)
FROM Split,TBL_PERSON
Where stpos_pets>0 and endpos_pets>0 and stpos_qpets>0 and endpos_qpets>0 and TBL_PERSON.id_person=split.id_person

Related

Get total count and first 3 columns

I have the following SQL query:
SELECT TOP 3 accounts.username
,COUNT(accounts.username) AS count
FROM relationships
JOIN accounts ON relationships.account = accounts.id
WHERE relationships.following = 4
AND relationships.account IN (
SELECT relationships.following
FROM relationships
WHERE relationships.account = 8
);
I want to return the total count of accounts.username and the first 3 accounts.username (in no particular order). Unfortunately accounts.username and COUNT(accounts.username) cannot coexist. The query works fine removing one of the them. I don't want to send the request twice with different select bodies. The count column could span to 1000+ so I would prefer to calculate it in SQL rather in code.
The current query returns the error Column 'accounts.username' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. which has not led me anywhere and this is different to other questions as I do not want to use the 'group by' clause. Is there a way to do this with FOR JSON AUTO?
The desired output could be:
+-------+----------+
| count | username |
+-------+----------+
| 1551 | simon1 |
| 1551 | simon2 |
| 1551 | simon3 |
+-------+----------+
or
+----------------------------------------------------------------+
| JSON_F52E2B61-18A1-11d1-B105-00805F49916B |
+----------------------------------------------------------------+
| [{"count": 1551, "usernames": ["simon1", "simon2", "simon3"]}] |
+----------------------------------------------------------------+
If you want to display the total count of rows that satisfy the filter conditions (and where username is not null) in an additional column in your resultset, then you could use window functions:
SELECT TOP 3
a.username,
COUNT(a.username) OVER() AS cnt
FROM relationships r
JOIN accounts a ON r.account = a.id
WHERE
r.following = 4
AND EXISTS (
SELECT 1 FROM relationships t1 WHERE r1.account = 8 AND r1.following = r.account
)
;
Side notes:
if username is not nullable, use COUNT(*) rather than COUNT(a.username): this is more efficient since it does not require the database to check every value for nullity
table aliases make the query easier to write, read and maintain
I usually prefer EXISTS over IN (but here this is mostly a matter of taste, as both techniques should work fine for your use case)

How to create two JOIN-tables so that I can compare attributes within?

I take a Database course in which we have listings of AirBnBs and need to be able to do some SQL queries in the Relationship-Model we made from the data, but I struggle with one in particular :
I have two tables that we are interested in, Billing and Amenities. The first one have the id and price of listings, the second have id and wifi (let's say, to simplify, that it equals 1 if there is Wifi, 0 otherwise). Both have other attributes that we don't really care about here.
So the query is, "What is the difference in the average price of listings with and without Wifi ?"
My idea was to build to JOIN-tables, one with listings that have wifi, the other without, and compare them easily :
SELECT avg(B.price - A.price) as averagePrice
FROM (
SELECT Billing.price, Billing.id
FROM Billing
INNER JOIN Amenities
ON Billing.id = Amenities.id
WHERE Amenities.wifi = 0
) A, (
SELECT Billing.price, Billing.id
FROM Billing
INNER JOIN Amenities
ON Billing.id = Amenities.id
WHERE Amenities.wifi = 1) B
WHERE A.id = B.id;
Obviously this doesn't work... I am pretty sure that there is a far easier solution to it tho, what do I miss ?
(And by the way, is there a way to compute the absolute between the difference of price ?)
I hope that I was clear enough, thank you for your time !
Edit : As mentionned in the comments, forgot to say that, but both tables have idas their primary key, so that there is one row per listing.
Just use conditional aggregation:
SELECT AVG(CASE WHEN a.wifi = 0 THEN b.price END) as avg_no_wifi,
AVG(CASE WHEN a.wifi = 1 THEN b.price END) as avg_wifi
FROM Billing b JOIN
Amenities a
ON b.id = a.id
WHERE a.wifi IN (0, 1);
You can use a - if you want the difference instead of the specific values.
Let's assume we're working with data like the following (problems with your data model are noted below):
Billing
+------------+---------+
| listing_id | price |
+------------+---------+
| 1 | 1500.00 |
| 2 | 1700.00 |
| 3 | 1800.00 |
| 4 | 1900.00 |
+------------+---------+
Amenities
+------------+------+
| listing_id | wifi |
+------------+------+
| 1 | 1 |
| 2 | 1 |
| 3 | 0 |
+------------+------+
Notice that I changed "id" to "listing_id" to make it clear what it was (using "id" as an attribute name is problematic anyways). Also, note that one listing doesn't have an entry in the Amenities table. Depending on your data, that may or may not be a concern (again, refer to the bottom for a discussion of your data model).
Based on this data, your averages should be as follows:
Listings with wifi average $1600 (Listings 1 and 2)
Listings without wifi (just 3) average 1800).
So the difference would be $200.
To achieve this result in SQL, it may be helpful to first get the average cost per amenity (whether wifi is offered). This would be obtained with the following query:
SELECT
Amenities.wifi AS has_wifi,
AVG(Billing.price) AS avg_cost
FROM Billing
INNER JOIN Amenities ON
Amenities.listing_id = Billing.listing_id
GROUP BY Amenities.wifi
which gives you the following results:
+----------+-----------------------+
| has_wifi | avg_cost |
+----------+-----------------------+
| 0 | 1800.0000000000000000 |
| 1 | 1600.0000000000000000 |
+----------+-----------------------+
So far so good. So now we need to calculate the difference between these 2 rows. There are a number of different ways to do this, but one is to use a CASE expression to make one of the values negative, and then simply take the SUM of the result (note that I'm using a CTE, but you can also use a sub-query):
WITH
avg_by_wifi(has_wifi, avg_cost) AS
(
SELECT Amenities.wifi, AVG(Billing.price)
FROM Billing
INNER JOIN Amenities ON
Amenities.listing_id = Billing.listing_id
GROUP BY Amenities.wifi
)
SELECT
ABS(SUM
(
CASE
WHEN has_wifi = 1 THEN avg_cost
ELSE -1 * avg_cost
END
))
FROM avg_by_wifi
which gives us the expected value of 200.
Now regarding your data model:
If both your Billing and Amenities table only have 1 row for each listing, it makes sense to combine them into 1 table. For example: Listings(listing_id, price, wifi)
However, this is still problematic, because you probably have a bunch of other amenities you want to model (pool, sauna, etc.) So you might want to model a many-to-many relationship between listings and amenities using an intermediate table:
Listings(listing_id, price)
Amenities(amenity_id, amenity_name)
ListingsAmenities(listing_id, amenity_id)
This way, you could list multiple amenities for a given listing without having to add additional columns. It also becomes easy to store additional information about an amenity: What's the wifi password? How deep is the pool? etc.
Of course, using this model makes your original query (difference in average cost of listings by wifi) a bit tricker, but definitely still doable.

How can I select only rows with multiple hits for a specific column?

I am not sure how to phrase this question so I'll give an example:
Suppose there is a table called tagged that has two columns: tagger and taggee. What would the SQL query look like to return the taggee(s) that are in multiple rows? That is to say, they have been tagged 2 or more times by any tagger.
I would like a 'generic' SQL query and not something that only works on a specific DBMS.
EDIT: Added "tagged 2 or more times by any tagger."
HAVING can operate on the result of aggregate functions. So if you have data like this:
Row tagger | taggee
--------+----------
1. Joe | Cat
2. Fred | Cat
3. Denise | Dog
4. Joe | Horse
5. Denise | Horse
It sounds like you want Cat, Horse.
To get the taggee's that are in multiple rows, you would execute:
SELECT taggee, count(*) FROM tagged GROUP BY taggee HAVING count(*) > 1
That being said, when you say "select only rows with multiple hits for a specific column", which row do you want? Do you want row 1 for Cat, or row 2?
select distinct t1.taggee from tagged t1 inner join tagged t2
on t1.taggee = t2.taggee and t1.tagger != t2.tagger;
Will give you all the taggees who have been tagged by more than one tagger

MYSQL - Combining Two Results in One Query

I have a query I need to perform to show search results for a project. What needs to happen, I need to sort the results by the "horsesActiveDate" and this applies to all of them except for any ad with the adtypesID=7. Those results are sorted by date but they must always result after all other ads.
So I will have all my ads in the result set be ordered by the Active Date AND adtypesID != 7. After that, I need all adtypesID=7 to be sorted by Active Date and appended at the bottom of all the results.
I'm hoping to put this in one query instead of two and appending them together in PHP. The way the code is written, I have to find a way to get it all in one query.
So here is my original query which has worked great until I had to ad the adtypesID=7 which has different sorting requirements.
This is the query that exists now that doesn't take into account the adtypesID for sorting.
SELECT
horses.horsesID,
horsesDescription,
horsesActiveDate,
adtypesID,
states.statesName,
horses_images.himagesPath
FROM horses
LEFT JOIN states ON horses.statesID = states.statesID
LEFT JOIN horses_images ON horses_images.himagesDefault = 1 AND horses_images.horsesID = horses.horsesID AND horses_images.himagesPath != ''
WHERE
horses.horsesStud = 0
AND horses.horsesSold = 0
AND horses.horsesID IN
(
SELECT DISTINCT horses.horsesID
FROM horses
LEFT JOIN horses_featured ON horses_featured.horsesID = horses.horsesID
WHERE horses.horsesActive = 1
)
ORDER BY adtypesID, horses.horsesActiveDate DESC
My first thought was to do two queries where one looked for all the ads that did not contain adtypesID=7 and sort those as the query does, then run a second query to find only those ads with adtypesID=7 and sort those by date. Then take those two results and append them to each other. Since I need to get this all into one query, I can't use a php function to do that.
Is there a way to merge the two query results one after the other in mysql? Is there a better way to run this query that will accomplish this sorting?
The Ideal Results would be as below (I modified the column names so they would be shorter):
ID | Description | ActiveDate | adtypesID | statesName | himagesPath
___________________________________________________________________________
3 | Ad Text | 06-01-2010 | 3 | OK | image.jpg
2 | Ad Text | 05-31-2010 | 2 | LA | image1.jpg
9 | Ad Text | 03-01-2010 | 4 | OK | image3.jpg
6 | Ad Text | 06-01-2010 | 7 | OK | image5.jpg
6 | Ad Text | 05-01-2010 | 7 | OK | image5.jpg
6 | Ad Text | 04-01-2010 | 7 | OK | image5.jpg
Any help that can be provided will be greatly appreciated!
I am not sure about the exact syntax in MySQL, but something like
ORDER BY case when adtypesID = 7 then 2 else 1 end ASC, horses.horsesActiveDate DESC
would work in many other SQL dielects.
Note that most SQL dialects allow the order by to not only be a column, but an expression.
This should work:
ORDER BY (adtypesID = 7) ASC, horses.horsesActiveDate DESC
Use a Union to append two queries together, like this:
SELECT whatever FROM wherever ORDER BY something AND adtypesID!=7
UNION
SELECT another FROM somewhere ORDER BY whocares AND adtypesID=7
http://dev.mysql.com/doc/refman/5.0/en/union.html
I re-wrote your query as:
SELECT h.horsesID,
h.horsesDescription,
h.horsesActiveDate,
adtypesID,
s.statesName,
hi.himagesPath
FROM HORSES h
LEFT JOIN STATES s ON s.stateid = h.statesID
LEFT JOIN HORSES_IMAGES hi ON hi.horsesID = h.horsesID
AND hi.himagesDefault = 1
AND hi.himagesPath != ''
LEFT JOIN HORSES_FEATURED hf ON hf.horsesID = h.horsesID
WHERE h.horsesStud = 0
AND h.horsesSold = 0
AND h.horsesActive = 1
ORDER BY (adtypesID = 7) ASC, h.horsesActiveDate DESC
The IN subquery, using a LEFT JOIN and such, will mean that any horse record whose horsesActive value is 1 will be returned - regardless if they have an associated HORSES_FEATURED record. I leave it to you for checking your data to decide if it should really be an INNER JOIN. Likewise for the STATES table relationship...

Creating new table from data of other tables

I'm very new to SQL and I hope someone can help me with some SQL syntax. I have a database with these tables and fields,
DATA: data_id, person_id, attribute_id, date, value
PERSONS: person_id, parent_id, name
ATTRIBUTES: attribute_id, attribute_type
attribute_type can be "Height" or "Weight"
Question 1
Give a person's "Name", I would like to return a table of "Weight" measurements for each children. Ie: if John has 3 children names Alice, Bob and Carol, then I want a table like this
| date | Alice | Bob | Carol |
I know how to get a long list of children's weights like this:
select d.date,
d.value
from data d,
persons child,
persons parent,
attributes a
where parent.name='John'
and child.parent_id = parent.person_id
and d.attribute_id = a.attribute_id
and a.attribute_type = "Weight';
but I don't know how to create a new table that looks like:
| date | Child 1 name | Child 2 name | ... | Child N name |
Question 2
Also, I would like to select the attributes to be between a certain range.
Question 3
What happens if the dates are not consistent across the children? For example, suppose Alice is 3 years older than Bob, then there's no data for Bob during the first 3 years of Alice's life. How does the database handle this if we request all the data?
1) It might not be so easy. MS SQL Server can PIVOT a table on an axis, but dumping the resultset to an array and sorting there (assuming this is tied to some sort of program) might be the simpler way right now if you're new to SQL.
If you can manage to do it in SQL it still won't be enough info to create a new table, just return the data you'd use to fill it in, so some sort of external manipulation will probably be required. But you can probably just use INSERT INTO [new table] SELECT [...] to fill that new table from your select query, at least.
2) You can join on attributes for each unique attribute:
SELECT [...] FROM data AS d
JOIN persons AS p ON d.person_id = p.person_id
JOIN attributes AS weight ON p.attribute_id = weight.attribute_id
HAVING weight.attribute_type = 'Weight'
JOIN attributes AS height ON p.attribute_id = height.attribute_id
HAVING height.attribute_type = 'Height'
[...]
(The way you're joining in the original query is just shorthand for [INNER] JOIN .. ON, same thing except you'll need the HAVING clause in there)
3) It depends on the type of JOIN you use to match parent/child relationships, and any dates you're filtering on in the WHERE, if I'm reading that right (entirely possible I'm not). I'm not sure quite what you're looking for, or what kind of database you're using, so no good answer. If you're new enough to SQL that you don't know the different kinds of JOINs and what they can do, it's very worthwhile to learn them - they put the R in RDBMS.
when you do a select, you need to specify the exact columns you want. In other words you can't return the Nth child's name. Ie this isn't possible:
1/2/2010 | Child_1_name | Child_2_name | Child_3_name
1/3/2010 | Child_1_name
1/4/2010 | Child_1_name | Child_2_name
Each record needs to have the same amount of columns. So you might be able to make a select that does this:
1/2/2010 | Child_1_name
1/2/2010 | Child_2_name
1/2/2010 | Child_3_name
1/3/2010 | Child_1_name
1/4/2010 | Child_1_name
1/4/2010 | Child_2_name
And then in a report remap it to how you want it displayed