I have three SQL tables: Release (which represents a release of a movie), Media (which represents the individual pieces of recordable media in those releases; i.e. for Blu-ray/DVD combos, there will be two rows in Media, one Blu-ray and one DVD, that point back to the same row in Release) and MediaType (which defines Blu-ray, DVD, VHS, etc.). There's a one-to-many relationship for Release/Media and MediaType/Media, with Media being on the "many" side of both relationships. I have a view for Release, vRelease, which contains aggregate functions, such as a COUNT that shows how many media are associated with that release. This is what I have for this view so far:
SELECT dbo.Release.ReleaseID
,dbo.Release.Name
,CASE WHEN Release.Compilation = 0 THEN 'No' WHEN Release.Compilation = 1 THEN 'Yes' END AS Compilation
,dbo.Release.Owner
,CASE WHEN Release.LentOut = 0 THEN 'No' WHEN Release.LentOut = 1 THEN 'Yes' END AS LentOut
,COUNT(dbo.Media.ReleaseID) AS NumberOfMedia
,MIN(dbo.Media.MediaID) AS FirstMediaID
,MIN(dbo.MediaType.Name) AS FirstMediaType
FROM dbo.MediaType INNER JOIN
dbo.Media ON dbo.MediaType.MediaTypeID = dbo.Media.MediaTypeID RIGHT OUTER JOIN
dbo.Release ON dbo.Media.ReleaseID = dbo.Release.ReleaseID
GROUP BY dbo.Release.ReleaseID, dbo.Release.Name, dbo.Release.Compilation, dbo.Release.Owner, dbo.Release.LentOut
You'll notice that I've also included two other aggregate columns: FirstMediaID grabs the ID of the media associated with that release that appears first in the Media table (i.e. if a release has two DVDs associated with it, it gets one with the lower ID value). This column on its own isn't useful; what I want to do is then, in turn, get the MediaType that that Media is associated with. In other words, I want a column that shows the MediaType of the first Media that is attached to each Release. The column after that, FirstMediaType, is supposed to do that, but it instead gets the MediaType among all of the Media associated with the Release and picks the one that is alphabetically first - which means that Blu-ray will always be prioritized over DVD (which is fine), but Audio CD will always be prioritized over everything else (which is not fine).
How do I get the FirstMediaType column in this view to get the MediaType of the Media identified in FirstMediaID?
UPDATE: Here are the tables, their columns and some sample rows.
A couple from Release:
+-----------+----------------------------------------+-------+-------------+---------+
| ReleaseID | Name | Owner | Compilation | LentOut |
+-----------+----------------------------------------+-------+-------------+---------+
| 2 | Alice in Wonderland | NULL | 0 | 0 |
| 6 | 4 Film Favorites - Family Comedies | NULL | 1 | 0 |
| 8 | Aladdin | NULL | 0 | 0 |
| 463 | Harry Potter and the Half-Blood Prince | NULL | 0 | 1 |
| 534 | Spirited Away | Ryan | 0 | 0 |
| 571 | The Original Christmas Classics | NULL | 1 | 0 |
+-----------+----------------------------------------+-------+-------------+---------+
Compilation indicates a release that has more than one movie in it.
Corresponding entries in Media:
+---------+-------------+-------------------------------------------------------------------------------------+-----------+
| MediaID | MediaTypeID | Name | ReleaseID |
+---------+-------------+-------------------------------------------------------------------------------------+-----------+
| 2 | 2 | Movie | 2 |
| 3 | 1 | Movie | 2 |
| 12 | 1 | Space Jam; Looney Tunes: Back in Action | 6 |
| 13 | 1 | Funky Monkey; Osmosis Jones | 6 |
| 17 | 3 | Movie | 8 |
| 620 | 1 | Movie | 463 |
| 726 | 1 | Movie | 534 |
| 807 | 1 | Rudolph the Red-Nosed Reindeer; Cricket on the Hearth | 571 |
| 808 | 1 | Frosty the Snowman; Frosty Returns | 571 |
| 809 | 1 | Santa Claus is Comin' to Town!; Mr. Magoo's Christmas Carol; The Little Drummer Boy | 571 |
| 810 | 4 | Tracks 1-7 | 571 |
+---------+-------------+-------------------------------------------------------------------------------------+-----------+
First few in MediaType:
+-------------+--------------+
| MediaTypeID | Name |
+-------------+--------------+
| 1 | DVD Disc |
| 2 | Blu-ray Disc |
| 3 | VHS |
| 4 | Audio CD |
+-------------+--------------+
The corresponding entries in vRelease SHOULD be this:
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
| ReleaseID | Name | Compilation | Owner | LentOut | NumberOfMedia | FirstMediaID | FirstMediaType |
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
| 2 | Alice in Wonderland | No | NULL | No | 2 | 2 | Blu-ray Disc |
| 6 | 4 Film Favorites - Family Comedies | Yes | NULL | No | 2 | 12 | DVD Disc |
| 8 | Aladdin | No | NULL | No | 1 | 17 | VHS |
| 463 | Harry Potter and the Half-Blood Prince | No | NULL | Yes | 1 | 620 | DVD Disc |
| 534 | Spirited Away | No | Ryan | No | 1 | 726 | DVD Disc |
| 571 | The Original Christmas Classics | Yes | NULL | No | 4 | 807 | DVD Disc |
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
But it's actually this:
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
| ReleaseID | Name | Compilation | Owner | LentOut | NumberOfMedia | FirstMediaID | FirstMediaType |
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
| 2 | Alice in Wonderland | No | NULL | No | 2 | 2 | Blu-ray Disc |
| 6 | 4 Film Favorites - Family Comedies | Yes | NULL | No | 2 | 12 | DVD Disc |
| 8 | Aladdin | No | NULL | No | 1 | 17 | VHS |
| 463 | Harry Potter and the Half-Blood Prince | No | NULL | Yes | 1 | 620 | DVD Disc |
| 534 | Spirited Away | No | Ryan | No | 1 | 726 | DVD Disc |
| 571 | The Original Christmas Classics | Yes | NULL | No | 4 | 807 | Audio CD |
+-----------+----------------------------------------+-------------+-------+---------+---------------+--------------+----------------+
It's that last one that's the problem.
I ended up finding a simple way to do what I wanted. It isn't as fancy as Used_By_Already's answer (which did end up working, as far as I could tell) and probably breaks a SQL Best Practices rule somewhere, but it's much easier to understand and maintain - at least for my newbie brain.
Since the problem was trying to get the view to use an aggregate column it calculated in a join, I just split the two-step action over two views. vReleasePre has all of the columns I outlined in my original query except for FirstMediaType. vRelease now simply takes all of the columns from vReleasePre and adds FirstMediaType, which takes its value from a join at the end: LEFT OUTER JOIN dbo.vMedia ON dbo.vReleasePre.FirstMediaID = dbo.vMedia.MediaID, where vMedia is a view with all the columns from Media, plus the MediaType column (I already had vMedia lying around).
Since this database is being used in an ASP.NET MVC web application via Entity Framework, and EF has been pretty strange about what it will and won't accept into the data model, I figure that a simple, if roundabout, solution is probably going to be my best option.
vReleasePre:
SELECT dbo.Release.ReleaseID
,dbo.Release.Name
,CASE WHEN Release.Compilation = 0 THEN 'No' WHEN Release.Compilation = 1 THEN 'Yes' END AS Compilation
,dbo.Release.Owner
,CASE WHEN Release.LentOut = 0 THEN 'No' WHEN Release.LentOut = 1 THEN 'Yes' END AS LentOut
,COUNT(dbo.Media.ReleaseID) AS NumberOfMedia
,MIN(dbo.Media.MediaID) AS FirstMediaID
FROM dbo.MediaType INNER JOIN
dbo.Media ON dbo.MediaType.MediaTypeID = dbo.Media.MediaTypeID RIGHT OUTER JOIN
dbo.Release ON dbo.Media.ReleaseID = dbo.Release.ReleaseID
GROUP BY dbo.Release.ReleaseID, dbo.Release.Name, dbo.Release.Compilation, dbo.Release.Owner, dbo.Release.LentOut
vRelease:
SELECT dbo.vReleasePre.ReleaseID
,dbo.vReleasePre.Name
,dbo.vReleasePre.Compilation
,dbo.vReleasePre.Owner
,dbo.vReleasePre.LentOut
,dbo.vReleasePre.NumberOfMedia
,dbo.vMedia.MediaType
FROM dbo.vReleasePre LEFT OUTER JOIN
dbo.vMedia ON dbo.vReleasePre.FirstMediaID = dbo.vMedia.MediaID
A very convenient technique that returns whole rows associated with needs such as "First", "Last", "Earliest", "Latest" is to use row_number() over(). Here you want the "first media type", so it is relevant here.
As you will see in the following query joining the [Media] table is replaced with a subquery that includes a row number calculation. Here we partition by ReleaseID and order by MediaID, so, for each ReleaseID the first row will be the one with the lowest MediaID value. Then in the join to this derived table an extra condition is added to only consider rows with a row number of 1.
Proposed Query
SELECT
r.ReleaseID
, m.MediaID
, mt.MediaTypeID
, mt.name MediaName
, r.Name
, CASE
WHEN r.Compilation = 0 THEN 'No'
WHEN r.Compilation = 1 THEN 'Yes'
END AS compilation
, r.Owner
, CASE
WHEN r.LentOut = 0 THEN 'No'
WHEN r.LentOut = 1 THEN 'Yes'
END AS lentout
FROM dbo.Release r
INNER JOIN (
SELECT
Media.*
, ROW_NUMBER() OVER(PARTITION BY ReleaseID
ORDER BY MediaID) AS rn
FROM dbo.Media
) m ON r.ReleaseID = m.ReleaseID and rn = 1
INNER JOIN dbo.MediaType mt ON m.MediaTypeID = mt.MediaTypeID
Result
| ReleaseID | MediaID | MediaTypeID | MediaName | Name | compilation | Owner | lentout |
|-----------|---------|-------------|--------------|----------------------------------------|-------------|--------|---------|
| 2 | 2 | 2 | Blu-ray Disc | Alice in Wonderland | No | (null) | No |
| 6 | 12 | 1 | DVD Disc | 4 Film Favorites - Family Comedies | Yes | (null) | No |
| 8 | 17 | 3 | VHS | Aladdin | No | (null) | No |
| 463 | 620 | 1 | DVD Disc | Harry Potter and the Half-Blood Prince | No | (null) | Yes |
| 534 | 726 | 1 | DVD Disc | Spirited Away | No | Ryan | No |
| 571 | 807 | 1 | DVD Disc | The Original Christmas Classics | Yes | (null) | No |
Demo available at SQLFiddle
The easiest way would be to add another join to your MediaType table on FirstMediaId = MediaType.MediaId
;WITH data AS (
SELECT dbo.Release.ReleaseID
,dbo.Release.Name
,CASE WHEN Release.Compilation = 0 THEN 'No' WHEN Release.Compilation = 1 THEN 'Yes' END AS Compilation
,dbo.Release.Owner
,CASE WHEN Release.LentOut = 0 THEN 'No' WHEN Release.LentOut = 1 THEN 'Yes' END AS LentOut
,COUNT(dbo.Media.ReleaseID) AS NumberOfMedia
,MIN(dbo.Media.MediaID) AS FirstMediaID
FROM dbo.MediaType
INNER JOIN dbo.Media
ON dbo.MediaType.MediaTypeID = dbo.Media.MediaTypeID
RIGHT OUTER JOIN dbo.Release
ON dbo.Media.ReleaseID = dbo.Release.ReleaseID
GROUP BY dbo.Release.ReleaseID, dbo.Release.Name, dbo.Release.Compilation, dbo.Release.Owner, dbo.Release.LentOut
)
SELECT data.ReleaseId
,data.Name
,data.Compilation
,data.Owner
,data.LentOut
,data.NumberOfMedia
,data.FirstMediaId
,MediaType.Name as FirstMediaName
FROM data
LEFT OUTER JOIN dbo.MediaType
ON data.FirstMediaId = MediaType.MediaTypeId
for the newbie brain, this is the subquery I used
SELECT
ROW_NUMBER() OVER(PARTITION BY ReleaseID
ORDER BY MediaID) AS rn
, Media.*
FROM dbo.Media
and this is what it does (see the rn column)
| rn | MediaID | MediaTypeID | Name | ReleaseID |
|----|---------|-------------|-------------------------------------------------------------------------------------|-----------|
| 1 | 2 | 2 | Movie | 2 |
| 2 | 3 | 1 | Movie | 2 |
| 1 | 12 | 1 | Space Jam; Looney Tunes: Back in Action | 6 |
| 2 | 13 | 1 | Funky Monkey; Osmosis Jones | 6 |
| 1 | 17 | 3 | Movie | 8 |
| 1 | 620 | 1 | Movie | 463 |
| 1 | 726 | 1 | Movie | 534 |
| 1 | 807 | 1 | Rudolph the Red-Nosed Reindeer; Cricket on the Hearth | 571 |
| 2 | 808 | 1 | Frosty the Snowman; Frosty Returns | 571 |
| 3 | 809 | 1 | Santa Claus is Comin' to Town!; Mr. Magoo's Christmas Carol; The Little Drummer Boy | 571 |
| 4 | 810 | 4 | Tracks 1-7 | 571 |
Now keep only those rows with 1 in the rn column:
| rn | MediaID | MediaTypeID | Name | ReleaseID |
|----|---------|-------------|-------------------------------------------------------|-----------|
| 1 | 2 | 2 | Movie | 2 |
| 1 | 12 | 1 | Space Jam; Looney Tunes: Back in Action | 6 |
| 1 | 17 | 3 | Movie | 8 |
| 1 | 620 | 1 | Movie | 463 |
| 1 | 726 | 1 | Movie | 534 |
| 1 | 807 | 1 | Rudolph the Red-Nosed Reindeer; Cricket on the Hearth | 571 |
Then join just those rows to Releases and MediaType
Bingo
= the wanted result.
Not hard, really not hard. You really will want to learn about those window functions because they can solve heaps of problems.
Related
I need a hierarchy for my database and decided to use the closure table model. The hierarchy tables have the usual structure, like this:
locations table
+----+---------+
| id | name |
+----+---------+
| 1 | Europe |
| 2 | France |
| 3 | Germany |
| 4 | Spain |
| 5 | Paris |
| 6 | Nizza |
| 7 | Berlin |
| 8 | Munich |
| 9 | Madrid |
+----+---------+
CREATE TABLE locations (
id int IDENTITY(1,1) PRIMARY KEY,
name varchar(30)
)
lacations_relation table
+----+--------+--------+-------+
| id | src_id | dst_id | depth |
+----+--------+--------+-------+
| 1 | 1 | 1 | 0 |
| 2 | 2 | 2 | 0 |
| 3 | 1 | 2 | 1 |
| 4 | 3 | 3 | 0 |
| 5 | 1 | 3 | 1 |
| 6 | 4 | 4 | 0 |
| 7 | 1 | 4 | 1 |
| 8 | 5 | 5 | 0 |
| 9 | 2 | 5 | 1 |
| 10 | 1 | 5 | 2 |
| 11 | 6 | 6 | 0 |
| 12 | 2 | 6 | 1 |
| 13 | 1 | 6 | 2 |
| 14 | 7 | 7 | 0 |
| 15 | 3 | 7 | 1 |
| 16 | 1 | 7 | 2 |
| 17 | 8 | 8 | 0 |
| 18 | 3 | 8 | 1 |
| 19 | 1 | 8 | 2 |
| 20 | 9 | 9 | 0 |
| 21 | 4 | 9 | 1 |
| 22 | 1 | 9 | 2 |
+----+--------+--------+-------+
CREATE TABLE locations_relation (
id int IDENTITY(1,1) PRIMARY KEY,
src_id int,
dst_id int,
depth int,
CONSTRAINT FK_src FOREIGN KEY (src_id)
REFERENCES locations (id),
CONSTRAINT FK_dst FOREIGN KEY (dst_id)
REFERENCES locations (id)
)
Now there is a third table, which holds information about documents and is referencing the locations table, which looks like this:
closure_junction
+----+------------+-------------+
| id | country_id | document_id |
+----+------------+-------------+
| 1 | 2 | 1 |
| 2 | 2 | 2 |
| 3 | 6 | 2 |
| 4 | 6 | 3 |
| 5 | 5 | 2 |
| 6 | 5 | 4 |
+----+------------+-------------+
CREATE TABLE closure_junction (
id int IDENTITY(1,1) PRIMARY KEY,
country_id int NOT NULL,
document_id int,
CONSTRAINT FK_countries FOREIGN KEY (id)
REFERENCES countries(id)
)
What I'd like to have is single SQL-Query which counts the document per location and if there are documents in a child it should be counted up in the parent. For example if paris holds 2 documents than france should automatically also hold 2 documents. The query should also output the path of each node to the root aswell as the depth of the node. I know there is way to do this recursively, but I'd like to avoid that.
I have a query which gives me the correct result, but I'm not satisfied with how it works. Is there a way to circumentvent storing the children in a column?
This is my query with the correct output:
;WITH cte (name, path, depth, children) AS
(
SELECT
node.name,
STRING_AGG(locations.name, ' / ' ) WITHIN GROUP (ORDER BY relation.depth DESC) as path,
MAX(relation.depth) as depth,
STRING_AGG(locations.id, ' ') as children
FROM locations node
INNER JOIN locations_relation relation
ON node.id = relation.dst_id
INNER JOIN locations
ON relation.src_id = locations.id
GROUP BY node.name
)
SELECT
name,
path,
depth,
COUNT(DISTINCT document_id) as count_docs
FROM cte
CROSS APPLY string_split(children, ' ')
LEFT JOIN closure_junction ON
closure_junction.country_id = value
GROUP BY name, path, depth
ORDER BY depth ASC
+---------+---------------------------+-------+------------+
| name | path | depth | count_docs |
+---------+---------------------------+-------+------------+
| Europe | Europe | 0 | 0 |
| France | Europe / France | 1 | 2 |
| Germany | Europe / Germany | 1 | 0 |
| Spain | Europe / Spain | 1 | 0 |
| Berlin | Europe / Germany / Berlin | 2 | 0 |
| Madrid | Europe / Spain / Madrid | 2 | 0 |
| Munich | Europe / Germany / Munich | 2 | 0 |
| Nizza | Europe / France / Nizza | 2 | 3 |
| Paris | Europe / France / Paris | 2 | 3 |
+---------+---------------------------+-------+------------+
Would be great if someone could give me a clue on how to accomplish this.
The count you can easily replace with a simple LEFT JOIN, but for this path you will still need to concatenate it somehow.
Something like this:
WITH CTE_path
AS
( SELECT node.id,
STRING_AGG(locations.name, ' / ' ) WITHIN GROUP (ORDER BY relation.depth DESC) as path
FROM locations node
INNER JOIN locations_relation relation
ON node.id = relation.dst_id
INNER JOIN locations
ON relation.src_id = locations.id
GROUP BY node.id)
SELECT l.name,count(DISTINCT cj.document_id),pa.path
FROM locations l
JOIN CTE_path pa
ON pa.id = l.id
LEFT JOIN locations_relation lr
ON l.id = lr.dst_id
LEFT JOIN closure_junction cj
ON cj.country_id = lr.src_id
GROUP BY l.name,pa.path
I have a code that output a long list of the sum of count of work orders per name and sorts it by total, name and count:
;with cte as (
SELECT [Name],
[Emergency],
count([Emergency]) as [CountItem]
FROM tableA
GROUP BY [Name], [Emergency])
select Name,[Emergency],[Count],SUM([CountItem]) OVER(PARTITION BY Name) as Total from cte
order by Total desc, Name, [CountItem] desc
but I only want to get the top 10 Names with the highest total like the one below:
+-------+-------------------------------+-------+-------+
| Name | Emergency | Count | Total |
+-------+-------------------------------+-------+-------+
| PLB | No | 7 | 15 |
| PLB | No Hot Water | 4 | 15 |
| PLB | Resident Locked Out | 2 | 15 |
| PLB | Overflowing Tub | 1 | 15 |
| PLB | No Heat | 1 | 15 |
| GG | Broken Lock - Exterior | 6 | 6 |
| BOA | Broken Lock - Exterior | 2 | 4 |
| BOA | Garage Door not working | 1 | 4 |
| BOA | Resident Locked Out | 1 | 4 |
| 15777 | Smoke Alarm not working | 3 | 3 |
| FP | No air conditioning | 2 | 3 |
| FP | Flood | 1 | 3 |
| KB | No electrical power | 2 | 3 |
| KB | No | 1 | 3 |
| MEM | Noise Complaint | 3 | 3 |
| ANG | Parking Issue | 2 | 2 |
| ALL | Smoke Alarm not working | 2 | 2 |
| AAS | No air conditioning | 1 | 2 |
| AAS | Toilet - Clogged (1 Bathroom) | 1 | 2 |
+-------+-------------------------------+-------+-------+
Note: I'm not after unique values. As you can see from the example above it gets the top 10 names from a very long table.
What I want to happen is assign a row id for each name so all PLB above will have a row id of 1, GG = 2, BOA = 3, ...
So on my final select I will only add the where clause where row id <= 10. I already tried ROW_NUMBER() OVER(PARTITION BY Name ORDER BY Name) but it's assigning 1 to every unique Name it encounters.
You may try this:
;with cte as (
SELECT [Name],
[Emergency],
count([Emergency]) as [CountItem]
FROM tableA
GROUP BY [Name], [Emergency]),
ct as (
select Name,[Emergency],[Count],SUM([CountItem]) OVER(PARTITION BY PropertyName) as Total from cte
),
ctname as (
select dense_rank() over ( order by total, name ) as RankName, Name,[Emergency],[Count], total from ct )
select * from ctname where rankname < 11
I have three tables:
My products with their IDs and their features.
is a table with treatments of my products with a treatment-ID, a method, and a date. The treatments are done in batches of many products so there is a crosstable
with the products IDs and the treatment IDs and a bool value for the success of the treatment.
Each product can undergo many different treatments so there is a many-to-many relation. I now want to add to the product table (1.) for every product a value that shows the method of its most recent successful treatment if there is any.
I made a query that groups the crosstable's entries by product-ID but I don't know how to show the method and date of it's last treatment.
table 1:
| productID | size | weight | height | ... |
|-----------|:----:|-------:|--------|-----|
| 1 | 13 | 16 | 9 | ... |
| 2 | 12 | 17 | 12 | ... |
| 3 | 11 | 15 | 15 | ... |
| ... | ... | ... | ... | ... |
table 2:
| treatmentID | method | date |
|-------------|:--------:|-----------:|
| 1 | dye blue | 01.02.2016 |
| 2 | dye red | 01.02.2017 |
| 3 | dye blue | 01.02.2018 |
| ... | ... | ... |
table 3:
| productID | treatmentID | success |
|-----------|:-----------:|--------:|
| 1 | 1 | yes |
| 1 | 2 | yes |
| 1 | 3 | no |
| ... | ... | ... |
I need table 1 to be like:
table 1:
| productID | size | weight | height | latest succesful method |
|-----------|:----:|-------:|--------|-------------------------|
| 1 | 13 | 16 | 9 | dye red |
| 2 | 12 | 17 | 12 | ... |
| 3 | 11 | 15 | 15 | ... |
| ... | ... | ... | ... | ... |
My query:
SELECT table3.productID, table2.method
FROM table2 INNER JOIN table3 ON table2.treatmentID = table3.treatmentID
GROUP BY table3.productID, table2.method
HAVING (((table3.productID)=Max([table2].[date])))
ORDER BY table3.productID DESC;
but this does NOT show only one (the most recent) entry but all of them.
Simplest solution here would be to write either a subquery within your sql, or create a new query to act as a subquery(it will look like a table) to help indicate(or elminate) the records you want to see.
Using similar but potentially slightly different source data as you only gave one example.
Table1
| ProductID | Size | Weight | Height |
|-----------|------|--------|--------|
| 1 | 13 | 16 | 9 |
| 2 | 12 | 17 | 12 |
| 3 | 11 | 15 | 15 |
Table2
| TreatmentID | Method | Date |
|-------------|------------|----------|
| 1 | dye blue | 1/2/2016 |
| 2 | dye red | 1/2/2017 |
| 3 | dye blue | 1/2/2018 |
| 4 | dye yellow | 1/4/2017 |
| 5 | dye brown | 1/5/2018 |
Table3
| ProductID | TreatmentID | Success |
|-----------|-------------|---------|
| 1 | 1 | yes |
| 1 | 2 | yes |
| 1 | 3 | no |
| 2 | 4 | no |
| 2 | 5 | yes |
First order of business is to get the max(dates) and productIds of successful treatments.
We'll do this by aggregating the date along with the productIDs and "success".
SELECT Table3.productid, Max(Table2.Date) AS MaxOfdate, Table3.success
FROM Table2 INNER JOIN Table3 ON Table2.treatmentid = Table3.treatmentid
GROUP BY Table3.productid, Table3.success;
This should give us something along the lines of:
| ProductID | MaxofDate | Success |
|-----------|-----------|---------|
| 1 | 1/2/2018 | No |
| 1 | 1/2/2017 | Yes |
| 2 | 1/4/2017 | No |
| 2 | 1/8/2017 | Yes |
We'll save this query as a "regular" query. I named mine "max", you should probably use something more descriptive. You'll see "max" in this next query.
Next we'll join tables1-3 together but in addition we will also use this "max" subquery to link tables 1 and 2 by the productID and MaxOfDate to TreatmentDate where success = "yes" to find the details of the most recent SUCCESSFUL treatment.
SELECT table1.productid, table1.size, table1.weight, table1.height, Table2.method
FROM ((table1 INNER JOIN [max] ON table1.productid = max.productid)
INNER JOIN Table2 ON max.MaxOfdate = Table2.date) INNER JOIN Table3 ON
(Table2.treatmentid = Table3.treatmentid) AND (table1.productid = Table3.productid)
WHERE (((max.success)="yes"));
The design will look something like this:
Design
(ps. you can add queries to your design query editor by clicking on the "Queries" tab when you are adding tables to your query design. They act just like tables, just be careful as very detailed queries tend to bog down Access)
Running this query should give us our final results.
| ProductID | Size | Weight | Height | Method |
|-----------|------|--------|--------|-----------|
| 1 | 13 | 16 | 9 | dye red |
| 2 | 12 | 17 | 12 | dye brown |
Let's say I have the following table (data is completely fiction):
ID | MonthDate | PersonID | Name | Status | MonthsAgoSinceLastCheck
1 | 2017-12 | 900 | Jack | Ill | -
2 | 2018-01 | 900 | Jack | Ill | 1
3 | 2018-02 | 900 | Jack | Ill | 2
4 | 2018-03 | 900 | Jack | Healthy | 1
5 | 2017-02 | 901 | Bill | Ill | -
6 | 2017-03 | 901 | Bill | Ill | 1
7 | 2017-05 | 901 | Bill | Healthy | 1
For each record, I would like to see the previous status that person had X months ago since last check (column MonthsAgoSinceLastCheck). Notice that MonthDate can skip months.
So in this case, the result would be
ID | MonthDate | PersonID | Name | Status | MonthsAgoSinceLastCheck | PreviousSatus
1 | 2017-12 | 900 | Jack | Ill | - | -
2 | 2018-01 | 900 | Jack | Ill | 1 | Ill
3 | 2018-02 | 900 | Jack | Ill | 2 | Ill
4 | 2018-03 | 900 | Jack | Healthy | 1 | Ill
5 | 2017-02 | 901 | Bill | Healthy | - | -
6 | 2017-03 | 901 | Bill | Healthy | 1 | Healthy
7 | 2017-05 | 901 | Bill | Ill | 2 | Healthy
Any sugestions/tips? I tried to do this with CTE's and self-joins but failed on both.
It's way easier to use full dates than year and months separately. The first thing you should do is generate a full date from your year + month. Then just self join with previous month, depending on the last check.
;WITH DataWithDates AS
(
SELECT
T.ID,
MonthDate = CONVERT(DATE, T.MonthDate + '-01'),
T.PersonID,
T.Name,
T.Status,
T.MonthsAgoSinceLastCheck
FROM
YourTable AS T
)
SELECT
D.ID,
D.MonthDate,
D.PersonID,
D.Name,
D.Status,
D.MonthsAgoSinceLastCheck,
PreviousStatus = N.Status
FROM
DataWithDates AS D
LEFT JOIN DataWithDates AS N ON
D.PersonID = N.PersonID AND
N.MonthDate = DATEADD(MONTH, -1 * D.MonthsAgoSinceLastCheck, D.MonthDate)
I'm assuming your MonthDate has values for all rows, otherwise the conversion will fail. I'm also assuming that your - values for MonthsAgoSinceLastCheck are actually NULL.
try this:
select *,LAG(Status) OVER(Partition by Name Order by MonthDate,Id) AS PreviousSatus
from tab1
order by id
SQl Fiddle:http://sqlfiddle.com/#!18/04407/4
I'm trying to have 2 tables (In this case it's actually 1 table in a self join) joined by their matching children.
Let me preface the purpose of this which might give a better understanding what I need:
I'm trying to look up a new order that I just got, to see if we ever had the same order, in order to find out in which box type this would be packaged.
So i'd need the matching order to contain the same item and the same qty for the item.
Look at the tables below and note that order 1300981 has the same items as order 1303097, how do I write this join?
Remember: I don't want the results to include any matches that do not match %100.
SQL Fiddle
OrderMain:
| OrderID | BoxId |
|---------|--------|
| 1300981 | 34 |
| 1303096 | (null) |
| 1303097 | (null) |
| 1303098 | (null) |
| 1303099 | (null) |
| 1303100 | (null) |
| 1303101 | (null) |
| 1303102 | (null) |
| 1303103 | (null) |
| 1303104 | B1 |
| 1303105 | (null) |
| 1303106 | (null) |
| 1303107 | 48 |
| 1303108 | (null) |
| 1303109 | (null) |
| 1303110 | (null) |
| 1303111 | (null) |
| 1303112 | (null) |
| 1303113 | (null) |
| 1303114 | (null) |
| 1303115 | (null) |
| 1303116 | (null) |
| 1303117 | (null) |
Order Detail:
| id | OrderID | Item | Qty |
|----|---------|--------|-----|
| 1 | 1300981 | 172263 | 3 |
| 2 | 1300981 | 171345 | 3 |
| 3 | 1300981 | 138757 | 3 |
| 4 | 1303117 | 231711 | 1 |
| 5 | 1303116 | 227835 | 1 |
| 6 | 1303115 | 244798 | 1 |
| 7 | 1303114 | 121755 | 1 |
| 8 | 1303113 | 145275 | 2 |
| 9 | 1303112 | 219554 | 1 |
| 10 | 1303111 | 179385 | 1 |
| 11 | 1303110 | 6229 | 1 |
| 12 | 1303109 | 217330 | 1 |
| 13 | 1303108 | 243596 | 1 |
| 14 | 1303107 | 246758 | 1 |
| 15 | 1303106 | 193931 | 1 |
| 16 | 1303105 | 244659 | 1 |
| 17 | 1303104 | 192548 | 1 |
| 18 | 1303103 | 228410 | 1 |
| 19 | 1303102 | 147474 | 1 |
| 20 | 1303101 | 239191 | 1 |
| 21 | 1303100 | 243594 | 1 |
| 22 | 1303099 | 232301 | 1 |
| 23 | 1303098 | 201212 | 1 |
| 24 | 1303097 | 172263 | 3 |
| 25 | 1303097 | 171345 | 3 |
| 26 | 1303097 | 138757 | 3 |
| 27 | 1303096 | 172263 | 3 |
| 28 | 1303096 | 171345 | 1 |
| 29 | 1303096 | 138757 | 3 |
| 30 | 1303095 | 172263 | 3 |
Expected Results
| OrderID | BoxId |
|---------|--------|
| 1303097 | 34 |
May be a weird way to do this, but if you convert the order details to xml and compare it to other orders, you can look for matches.
WITH BoxOrders AS
(
SELECT om.[OrderId],
om.[BoxId],
(SELECT Item, Qty
FROM orderDetails od
WHERE od.[OrderId] = om.[OrderId]
ORDER BY Item
FOR XML PATH('')) Details
FROM orderMain om
WHERE BoxID IS NOT NULL
)
SELECT mo.OrderId, bo.BoxId
FROM BoxOrders bo
JOIN (
SELECT om.[OrderId],
om.[BoxId],
(SELECT Item, Qty
FROM orderDetails od
WHERE od.[OrderId] = om.[OrderId]
ORDER BY Item
FOR XML PATH('')) Details
FROM orderMain om
WHERE BoxID IS NULL
) mo ON bo.Details = mo.Details
SQL Fiddle
Here's a different approach using SQL and a few analytics.
This joins order detail to itself based on item and qty and order number < other order number and ensures the count of items in each order matches. Thus if items match, count matches and qty matches then the order has the same items.
This returns both orders but easily enough to adjust. Using the CTE so the count materializes. Pretty sure you can't use a having with an analytic like this.
The one major assumption I'm making is that order numbers are sequential and when you say see if an older order exists, I should only need to look at earlier order numbers when evaluating if a prior order had the same items and quantities.
I'm also assuming a 100% match means: Exact same items. Same Quantity of items. and SAME Item Count so count of items for order 1 is 3 and order 2 is 3 and items and quantities match that is 100% but if order 2 had 4 items and order 1 only had 3, no match.
with cte as (
SELECT distinct OD1.OrderID PriorOrder, od2.orderID newOrder, OM.BoxId,
count(OD1.Item) over (partition by OD1.OrderID) OD1Cnt,
count(OD2.Item) over (partition by OD2.OrderID) OD2cnt
FROM OrderDetails OD1
INNER JOIN orderDetails OD2
on OD1.item=OD2.item
and od1.qty = od2.qty
and OD1.OrderID < OD2.OrderID
LEFT JOIN ORderMain OM
on OM.OrderID = OD1.orderID)
Select PriorOrder, NewOrder, boxID from cte where od1cnt = od2cnt