Attempting to update table data from another table SQL #SQL - sql

I have two tables, one called whoop_data with fields (id, user_id, date, recovery, sleep, strain)
and another called whoop_user with fields (id, name, average_recovery, average_sleep, average_strain)
I'd like to update the whoop_user average data fields using the whoop_data that is logged. Below are my attempts to do so.
New to SQL - please be kind :)
The code below results in the following table (works as intended):
name
AVG(recovery)
Name2
39.5
Name1
78
Name3
49.5
/*works as intended*/
SELECT name, AVG(recovery) FROM whoop_users JOIN whoop_data
ON whoop_users.id = whoop_data.user_id
GROUP BY name;
Both of the attempts below result in the following table:
Name
average_recovery
Name1
39.5
Name2
39.5
Name3
39.5
I see what is happening, but I don't understand why, how to fix it, or why the statement above DO work as intended and the ones below don't.
/*attempt 1*/
UPDATE whoop_users
SET
average_recovery = (SELECT AVG(recovery)
FROM whoop_users JOIN whoop_data ON
whoop_users.id = whoop_data.user_id
GROUP BY name)
WHERE
EXISTS (
SELECT * FROM whoop_data
WHERE whoop_data.user_id = whoop_users.id );
SELECT * FROM whoop_users;
/*attempt 2*/
WITH a AS
(
SELECT AVG(recovery) as av
FROM whoop_users JOIN whoop_data
ON whoop_users.id = whoop_data.user_id
GROUP BY name
)
UPDATE whoop_users
SET
average_recovery = (SELECT av FROM a);
SELECT * FROM whoop_users;

You must correlate properly the subquery that returns the averages from whoop_data (no joins are needed):
UPDATE whoop_users AS u
SET (average_recovery, average_sleep, average_strain) =
(
SELECT AVG(d.recovery), AVG(d.sleep) avg_sleep, AVG(d.strain)
FROM whoop_data AS d
WHERE d.user_id = u.id
);
If your version of SQLite is 3.33.0+ you could also use the UPDATE...FROM syntax which sometimes performs better:
UPDATE whoop_users AS u
SET average_recovery = d.avg_recovery,
average_sleep = d.avg_sleep,
average_strain = d.avg_strain
FROM (
SELECT user_id,
AVG(recovery) avg_recovery,
AVG(sleep) avg_sleep,
AVG(strain) avg_strain
FROM whoop_data
GROUP BY user_id
) AS d
WHERE u.id = d.user_id;

Related

How To use Where instead of Group by?

I wrote a query , that gives me this Output :
(This is Just a sample obviously the Output Table contains 300000 rows approximatly)
And This is my Query :
proc sql;
create Table Output as
select ID_User, Division_ID, sum(conta) as Tot_Items, max(Counts) as Max_Item
from (select c.ID_User , c.Div_ID as Division_ID, ro.code as Mat, count(*) as Counts
from Ods.R_Ordini o
inner join DMC.Cust_Dupl c
on User_ID = ID_User
inner join ods.R_Nlines ro
on ro.Orders_Id = o.Id_Orders AND RO.SERVICE = 0
inner join ods.R_Mat m
on ro.Mat_Id = Id_Mat and flag = 0
group by
ID_User,
C.Division_ID,
Ro.Code
Having Counts > 1
)
group by
Id_User,
Division_ID
Order by
Tot_Item DESC
;
quit;
So , What i want is to re-write this Query , but instead of the Group by i want to use the Where Condition , (WHERE=(DIVISION_ID=3)) this is the condition.
I tried several attempts , with some i got errors , and with others i did got an output , but the output was not like the original one.
any help would be much appreciated , thank you.
The SAS data set option (where=(<where-expression>)) can only be coded adjacent to a data set name. So the option would have to be applied to the data set containing the column div_id that is the basis for computed column division_id. That would be table alias c
DMC.Cust_Dupl(where=(div_id=3)) as c
Or just use a normal SQL where clause
…
)
where division_id=3
group by …
Just use WHERE DIVISION_ID=3 before group by.
select ID_User, Division_ID, sum(conta) as Tot_Items, max(Counts) as Max_Item from (select c.ID_User , c.Div_ID as Division_ID, ro.code as Mat, count(*) as Counts from Ods.R_Ordini o inner join DMC.Cust_Dupl c on User_ID = ID_User inner join ods.R_Nlines ro on ro.Orders_Id = o.Id_Orders AND RO.SERVICE = 0 inner join ods.R_Mat m on ro.Mat_Id = Id_Mat and flag = 0 WHERE DIVISION_ID=3 group by ID_User, C.Division_ID, Ro.Code Having Counts > 1 ) group by Id_User, Division_ID Order by Tot_Item DESC

SQL show records that don't exist in my table variable

I have a table variable that holds orderID, UnitID and OrderServiceId (it is already populated via a query with insert statement).
I then have a query under this that returns 15 columns which also include the OrderId, UnitId, OrderServiceId
I need to only return the rows from this query where the same combination of OrderId, UnitId, and OrderServiceId are not in the table variable.
You can use NOT EXISTS. e.g.
FROM YourQuery q
WHERE NOT EXISTS
(
SELECT * FROM #TableVar t
WHERE t.OrderId = q.OrderId
and t.UnitId = q.UnitId
and t.OrderServiceId=q.OrderServiceId
)
select q.*
from (
MyQuery
) q
left outer join MyTableVariable t on q.ORDERID = t.ORDERID
and q.UNITID= t.UNITID
and q.ORDERSERVICESID = t.ORDERSERVICESID
where t.ORDERID is null
You can use EXCEPT | INTERSECT operators for this (link).
Example:
(select 3,4,1
union all
select 2,4,1)
intersect
(select 1,2,9
union all
select 3,4,1)

Using (IN operator) OR condition in Where clause as AND condition

Please look at following image, I have explained my requirements in the image.
alt text http://img30.imageshack.us/img30/5668/shippment.png
I can't use here WHERE UsageTypeid IN(1,2,3,4) because this will behave as an OR condition and fetch all records.
I just want those records, of first table, which are attached with all 4 ShipmentToID .
All others which are attached with 3 or less ShipmentToIDs are not needed in result set.
Thanks.
if (EntityId, UsageTypeId) is unique:
select s.PrimaryKeyField, s.ShipmentId from shipment s, item a
where s.PrimaryKeyField = a.EntityId and a.UsageTypeId in (1,2,3,4)
group by s.PrimaryKeyField, s.ShipmentId having count(*) = 4
otherwise, 4-way join for the 4 fields,
select distinct s.* from shipment s, item a, item b, item c, item d where
s.PrimaryKeyField = a.EntityId = b.EntityId = c.EntityId = d.EntityId and
a.UsageTypeId = 1 and b.UsageTypeId = 2 and c.UsageTypeId = 3 and
d.UsageTypeId = 4
you'll want appropriate index on (EntityId, UsageTypeId) so it doesn't hang...
If there will never be duplicates of the UsageTypeId-EntityId combo in the 2nd table, so you'll never see:
EntityUsageTypeId | EntityId | UsageTypeId
22685 | 4477 | 1
22687 | 4477 | 1
You can count matching EntityIds in that table.
WHERE (count(*) in <tablename> WHERE EntityId = 4477) = 4
DECLARE #numShippingMethods int;
SELECT #numShippingMethods = COUNT(*)
FROM shippedToTable;
SELECT tbl1.shipmentID, COUNT(UsageTypeId) as Usages
FROM tbl2 JOIN tbl1 ON tbl2.EntityId = tbl1.EntityId
GROUP BY tbl1.EntityID
HAVING COUNT(UsageTypeId) = #numShippingMethods
This way is preferred to the multiple join against same table method, as you can simply modify the IN clause and the COUNT without needing to add or subtract more tables to the query when your list of IDs changes:
select EntityId, ShipmentId
from (
select EntityId
from (
select EntityId
from EntityUsage eu
where UsageTypeId in (1,2,3,4)
group by EntityId, UsageTypeId
) b
group by EntityId
having count(*) = 4
) a
inner join Shipment s on a.EntityId = s.EntityId

MySql scoping problem with correlated subqueries

I'm having this Mysql query, It works:
SELECT
nom
,prenom
,(SELECT GROUP_CONCAT(category_en) FROM
(SELECT DISTINCT category_en FROM categories c WHERE id IN
(SELECT DISTINCT category_id FROM m3allems_to_categories m2c WHERE m3allem_id = 37)
) cS
) categories
,(SELECT GROUP_CONCAT(area_en) FROM
(SELECT DISTINCT area_en FROM areas c WHERE id IN
(SELECT DISTINCT area_id FROM m3allems_to_areas m2a WHERE m3allem_id = 37)
) aSq
) areas
FROM m3allems m
WHERE m.id = 37
The result is:
nom prenom categories areas
Man Multi Carpentry,Paint,Walls Beirut,Baalbak,Saida
It works correclty, but only when i hardcode into the query the id that I want (37).
I want it to work for all entries in the m3allem table, so I try this:
SELECT
nom
,prenom
,(SELECT GROUP_CONCAT(category_en) FROM
(SELECT DISTINCT category_en FROM categories c WHERE id IN
(SELECT DISTINCT category_id FROM m3allems_to_categories m2c WHERE m3allem_id = m.id)
) cS
) categories
,(SELECT GROUP_CONCAT(area_en) FROM
(SELECT DISTINCT area_en FROM areas c WHERE id IN
(SELECT DISTINCT area_id FROM m3allems_to_areas m2a WHERE m3allem_id = m.id)
) aSq
) areas
FROM m3allems m
And I get an error:
Unknown column 'm.id' in 'where
clause'
Why?
From the MySql manual:
13.2.8.7. Correlated Subqueries
[...]
Scoping rule: MySQL evaluates from inside to outside.
So... do this not work when the subquery is in a SELECT section? I did not read anything about that.
Does anyone know? What should I do? It took me a long time to build this query... I know it's a monster query but it gets what I want in a single query, and I am so close to getting it to work!
Can anyone help?
You can only correlate one level deep.
Use:
SELECT m.nom,
m.prenom,
x.categories,
y.areas
FROM m3allens m
LEFT JOIN (SELECT m2c.m3allem_id,
GROUP_CONCAT(DISTINCT c.category_en) AS categories
FROM CATEGORIES c
JOIN m3allems_to_categories m2c ON m2c.category_id = c.id
GROUP BY m2c.m3allem_id) x ON x.m3allem_id = m.id
LEFT JOIN (SELECT m2a.m3allem_id,
GROUP_CONCAT(DISTINCT a.area_en) AS areas
FROM AREAS a
JOIN m3allems_to_areas m2a ON m2a.area_id = a.id
GROUP BY m2a.m3allem_id) y ON y.m3allem_id = m.id
WHERE m.id = ?
The reason for the error is that in the subquery m is not defined. It is defined later in the outer query.

SQL Elaborate Joins Query

I'm trying to solve the below problem.
I feel like it is possible, but I can't seem to get it.
Here's the scenario:
Table 1 (Assets)
1 Asset-A
2 Asset-B
3 Asset-C
4 Asset-D
Table 2 (Attributes)
1 Asset-A Red
2 Asset-A Hard
3 Asset-B Red
4 Asset-B Hard
5 Asset-B Heavy
6 Asset-C Blue
7 Asset-C Hard
If I am looking for something having the same attributes as Asset-A, then it should identify Asset-B since Asset-B has all the same attributes as Asset-A (it should discard heavy, since Asset-A didn't specify anything different or the similar). Also, if I wanted the attributes for only Asset-A AND Asset-B that were common, how would I get that?
Seems simple, but I can't nail it...
The actual table I am using, is almost precisely Table2, simply an association of an AssetId, and an AttributeId so:
PK: Id
int: AssetId
int: AttributeId
I only included the idea of the asset table to simplify the question.
SELECT ato.id, ato.value
FROM (
SELECT id
FROM assets a
WHERE NOT EXISTS
(
SELECT NULL
FROM attributes ata
LEFT JOIN
attributes ato
ON ato.id = ata.id
AND ato.value = ata.value
WHERE ata.id = 1
AND ato.id IS NULL
)
) ao
JOIN attributes ato
ON ato.id = ao.id
JOIN attributes ata
ON ata.id = 1
AND ata.value = ato.value
, or in SQL Server 2005 (with sample data to check):
WITH assets AS
(
SELECT 1 AS id, 'A' AS name
UNION ALL
SELECT 2 AS id, 'B' AS name
UNION ALL
SELECT 3 AS id, 'C' AS name
UNION ALL
SELECT 4 AS id, 'D' AS name
),
attributes AS
(
SELECT 1 AS id, 'Red' AS value
UNION ALL
SELECT 1 AS id, 'Hard' AS value
UNION ALL
SELECT 2 AS id, 'Red' AS value
UNION ALL
SELECT 2 AS id, 'Hard' AS value
UNION ALL
SELECT 2 AS id, 'Heavy' AS value
UNION ALL
SELECT 3 AS id, 'Blue' AS value
UNION ALL
SELECT 3 AS id, 'Hard' AS value
)
SELECT ato.id, ato.value
FROM (
SELECT id
FROM assets a
WHERE a.id <> 1
AND NOT EXISTS
(
SELECT ata.value
FROM attributes ata
WHERE ata.id = 1
EXCEPT
SELECT ato.value
FROM attributes ato
WHERE ato.id = a.id
)
) ao
JOIN attributes ato
ON ato.id = ao.id
JOIN attributes ata
ON ata.id = 1
AND ata.value = ato.value
I don't completely understand the first part of your question, identifying assets based on their attributes.
Making some assumptions about column names, the following query would yield the common attributes between Asset-A and Asset-B:
SELECT [Table 2].Name
FROM [Table 2]
JOIN [Table 1] a ON a.ID = [Table 2].AssetID AND a.Name = 'Asset-A'
JOIN [Table 1] b ON b.ID = [Table 2].AssetID AND b.Name = 'Asset-B'
GROUP BY [Table 2].Name
Select * From Assets A
Where Exists
(Select * From Assets
Where AssetId <> A.AssetID
And (Select Count(*)
From Attributes At1 Join Attributes At2
On At1.AssetId <> At2.AssetId
And At1.attribute <> At2.Attribute
Where At1.AssetId = A.AssetId Asset) = 0 )
And AssetId = 'Asset-A'
select at2.asset, count(*)
from attribute at1
inner join attribute at2 on at1.value = at2.value
where at1.asset = "Asset-A"
and at2.asset != "Asset-A"
group by at2.asset
having count(*) = (select count(*) from attribute where asset = "Asset-A");
Find all assets who have every attribute that "A" has (but also may have additional attributes):
SELECT Other.ID
FROM Assets Other
WHERE
Other.AssetID <> 'Asset-A' -- do not return Asset A as a match to itself
AND NOT EXISTS (SELECT NULL FROM Attributes AttA WHERE
AttA.AssetID='Asset-A'
AND NOT EXISTS (SELECT NULL FROM Attributes AttOther WHERE
AttOther.AssetID=Other.ID AND AttOther.AttributeID = AttA.AttributeID
)
)
I.e., "find any asset where there is no attribute of A that is not also an attribute of this asset".
Find all assets who have exactly the same attributes as "A":
SELECT Other.ID
FROM Assets Other
WHERE
Other.AssetID <> 'Asset-A' -- do not return Asset A as a match to itself
AND NOT EXISTS (SELECT NULL FROM Attributes AttA WHERE
AttA.AssetID='Asset-A'
AND NOT EXISTS (SELECT NULL FROM Attributes AttOther WHERE
AttOther.AssetID=Other.ID
AND AttOther.AttributeID = AttA.AttributeID
)
)
AND NOT EXISTS (SELECT NULL FROM Attributes AttaOther WHERE
AttaOther.AssetID=Other.ID
AND NOT EXISTS (SELECT NULL FROM Attributes AttaA WHERE
AttaA.AssetID='Asset-A'
AND AttaA.AttributeID = AttaOther.AttributeID
)
)
I.e., "find any asset where there is no attribute of A that is not also an attribute of this asset, and where there is no attribute of this asset that is not also an attribute of A."
This solution works as prescribed, thanks for the input.
WITH Atts AS
(
SELECT
DISTINCT
at1.[Attribute]
FROM
Attribute at1
WHERE
at1.[Asset] = 'Asset-A'
)
SELECT
DISTINCT
Asset,
(
SELECT
COUNT(ta2.[Attribute])
FROM
Attribute ta2
INNER JOIN
Atts b
ON
b.[Attribute] = ta2.[attribute]
WHERE
ta2.[Asset] = ta.Asset
)
AS [Count]
FROM
Atts a
INNER JOIN
Attribute ta
ON
a.[Attribute] = ta.[Attribute]
Find all assets that have all the same attributes as asset-a:
select att2.Asset from attribute att1
inner join attribute att2 on att2.Attribute = att1.Attribute and att1.Asset <> att2.Asset
where att1.Asset = 'Asset-A'
group by att2.Asset, att1.Asset
having COUNT(*) = (select COUNT(*) from attribute where Asset=att1.Asset)
I thought maybe I can do this with LINQ and then work my way backwards with:
var result = from productsNotA in DevProducts
where productsNotA.Product != "A" &&
(
from productsA in DevProducts
where productsA.Product == "A"
select productsA.Attribute
).Except
(
from productOther in DevProducts
where productOther.Product == productsNotA.Product
select productOther.Attribute
).Single() == null
select new {productsNotA.Product};
result.Distinct()
I thought that translating this back to SQL with LinqPad would result into a pretty SQL query. However it didn't :). DevProducts is my testtable with a column Product and Attribute. I thought I'd post the LINQ query anyways, might be useful to people who are playing around with LINQ.
If you can optimize the LINQ query above, please let me know (it might result in better SQL ;))
I'm using following DDL
CREATE TABLE Attributes (
Asset VARCHAR(100)
, Name VARCHAR(100)
, UNIQUE(Asset, Name)
)
Second question is easy
SELECT Name
FROM Attributes
WHERE Name IN (SELECT Name FROM Attributes WHERE Asset = 'A')
AND Asset = 'B'
First question is not more difficult
SELECT Asset
FROM Attributes
WHERE Name IN (SELECT Name FROM Attributes WHERE Asset = 'A')
GROUP BY Asset
HAVING COUNT(*) = (SELECT COUNT(*) FROM FROM Attributes WHERE Asset = 'A')
Edit:
I left AND Asset != 'A' out of the WHERE clause of the second snippet for brevity