I'm quite new to SQL - hope you can help:
I have several tables that all have 3 columns in common: ObjNo, Date(year-month), Product.
Each table has 1 other column, that represents an economic value (sales, count, netsales, plan ..)
I need to join all tables on the 3 common columns giving. The outcome must have one row for each existing combination of the 3 common columns. Not every combination exists in every table.
If I do full outer joins, I get ObjNo, Date, etc. for each table, but only need them once.
How can I achieve this?
+--------------+-------+--------+---------+-----------+
| tblCount | | | | |
+--------------+-------+--------+---------+-----------+
| | ObjNo | Date | Product | count |
| | 1 | 201601 | Snacks | 22 |
| | 2 | 201602 | Coffee | 23 |
| | 4 | 201605 | Tea | 30 |
| | | | | |
| tblSalesPlan | | | | |
| | ObjNo | Date | Product | salesplan |
| | 1 | 201601 | Beer | 2000 |
| | 2 | 201602 | Sancks | 2000 |
| | 5 | 201605 | Tea | 2000 |
| | | | | |
| | | | | |
| tblSales | | | | |
| | ObjNo | Date | Product | Sales |
| | 1 | 201601 | Beer | 1000 |
| | 2 | 201602 | Coffee | 2000 |
| | 3 | 201603 | Tea | 3000 |
+--------------+-------+--------+---------+-----------+
Thx
Devon
It sounds like you're using SELECT * FROM... which is giving you every field from every table. You probably only want to get the values from one table, so you should be explicit about which fields you want to include in the results.
If you're not sure which table is going to have a record for each case (i.e. there is not guaranteed to be a record in any particular table) you can use the COALESCE function to get the first non-null value in each case.
SELECT COALESCE(tbl1.ObjNo, tbl2.ObjNo, tbl3.ObjNo) AS ObjNo, ....
tbl1.Sales, tbl2.Count, tbl3.Netsales
Related
I am using Teradata SQL Assistant Version TD 16.10.06.01 ...
I have seen a lot people transpose data for set smallish tables but I am working on thousands of clients and need the break the columns up into Line Item Values to compare orders/highlight differences between orders. Problem is it is all horizontally linked and I need to transpose it to Id,Transaction id,Version and Line Item Value 1, Line Item Value 2... then another column comparing values to see if they changed.
example:
+----+------------+-----------+------------+----------------+--------+----------+----------+------+-------------+
| Id | First Name | Last Name | DOB | transaction id | Make | Location | Postcode | Year | Price |
+----+------------+-----------+------------+----------------+--------+----------+----------+------+-------------+
| 1 | John | Smith | 15/11/2001 | 1654654 | Audi | NSW | 2222 | 2019 | $ 10,000.00 |
| 2 | Mark | White | 11/02/2002 | 1661200 | BMW | WA | 8888 | 2016 | $ 8,999.00 |
| 3 | Bob | Grey | 10/05/2002 | 1667746 | Ford | QLD | 9999 | 2013 | $ 3,000.00 |
| 4 | Phil | Faux | 6/08/2002 | 1674292 | Holden | SA | 1111 | 2000 | $ 5,800.00 |
+----+------------+-----------+------------+----------------+--------+----------+----------+------+-------------+
hoping to change the data to :
+----+----------+----------+----------+----------------+----------+----------+----------------+---------+-----+
| id | trans_id | Vers_ord | Item Val | Ln_Itm_Dscrptn | Org_Val | Updt_Val | Amndd_Ord_chck | Lbl_Rnk | ... |
+----+----------+----------+----------+----------------+----------+----------+----------------+---------+-----+
| 1 | 1654654 | 2 | 11169 | Make | Audi BLK | Audi WHT | Yes | 1 | |
| 1 | 1654654 | 2 | 11189 | Location | NSW | WA | Yes | 2 | |
| 1 | 1654654 | 2 | 23689 | Postcode | 2222 | 6000 | Yes | 3 | |
+----+----------+----------+----------+----------------+----------+----------+----------------+---------+-----+
Recently with smaller data I created a table added in Values then used a case statement when value 1 then xyz with a product join ... and the data warehouse admins didn't mention anything out of order. but I only had row 16 by 200 column table to transpose ( Sum, Avg, Count, Median(function) x 4 subsets of clients) , which were significantly smaller than my current tables to make comparisons with.
I am worried my prior method will probably slow the data Warehouse down, plus take me significant amount of time to type the SQL.
Is there a better way to transpose large tables?
I have a SQL query that returns data similar to this pseudo-table:
| Name | Id1 | Id2 | Guid |
|------+-----+-----+------|
| Joe | 1 | 1 | 1123 |
| Joe | 2 | 1 | 1123 |
| Joe | 3 | 1 | 1120 |
| Jeff | 1 | 1 | 1123 |
| Moe | 3 | 42 | 1120 |
I would like to display an additional column on the output, listing the total number of records that have matching GUIDs to a given row, like this:
| Name | Id1 | Id2 | Guid | # Matching |
+------+-----+-----+------+------------+
| Joe | 1 | 1 | 1123 | 3 |
| Joe | 2 | 1 | 1123 | 3 |
| Joe | 3 | 1 | 1120 | 2 |
| Jeff | 1 | 1 | 1123 | 3 |
| Moe | 3 | 42 | 1120 | 2 |
I was able to accomplish this by joining the query with itself, and doing a count. However, the query is rather large and takes awhile to complete, is there any way I can accomplish this without joining the query with itself?
You want a window function:
select t.*, count(*) over (partition by guid) as num_matching
from t;
I have an ACTIVE_TRANSPORTATION table:
+--------+----------+--------+
| ATN_ID | TYPE | LENGTH |
+--------+----------+--------+
| 1 | SIDEWALK | 20.6 |
| 2 | SIDEWALK | 30.1 |
| 3 | TRAIL | 15.9 |
| 4 | TRAIL | 40.4 |
| 5 | SIDEWALK | 35.2 |
| 6 | TRAIL | 50.5 |
+--------+----------+--------+
It is related to an INSPECTION table via the ATN_ID:
+---------+--------+------------------+
| INSP_ID | ATN_ID | LENGTH_INSPECTED |
+---------+--------+------------------+
| 101 | 2 | 15.2 |
| 102 | 3 | 5.4 |
| 103 | 5 | 15.9 |
| 104 | 6 | 20.1 |
+---------+--------+------------------+
I want to summarize the information like this:
+----------+--------+-------------------+
| TYPE | LENGTH | PERCENT_INSPECTED |
+----------+--------+-------------------+
| SIDEWALK | 85.9 | 36% |
| TRAIL | 106.8 | 23% |
+----------+--------+-------------------+
How can I do this within a single query?
Here is the updated answer using ACCESS 2010. Note that LENGTH is reserved in ACCESS, so it needs to be changed to LENGTH_
SELECT
TYPE,
SUM(LENGTH) as LENGTH_,
SUM(IIF(ISNULL(LENGTH_INSPECTED),0, LENGTH_INSPECTED))/SUM(LENGTH) as PERCENT_INSPECTED
FROM
ACTIVE_TRANSPORTATION A
LEFT JOIN INSPECTION B
ON A.ATN_ID = B.ATN_ID
GROUP BY TYPE
Here is the answer using T-SQL in SQL SERVER 2014 I had originally
SELECT SUM(LENGTH) as LENGTH,
SUM(ISNULL(LENGTH_INSPECTED,0))/SUM(LENGTH) as PERCENT_INSPECTED,
TYPE
FROM
ACTIVE_TRANSPORTATION A
LEFT JOIN INSPECTION B
ON A.ATN_ID = B.ATN_ID
GROUP BY TYPE
Let me know if you need it to be converted to percent, rounded, etc, but I'm guessing that part is easy for you.
I have a master table (Project List) along with several sub tables that are joined on one common field (RecNum). I need to get totals for all of the sub tables, by column and am not sure how to do it. This is a sample of the table design. There are more columns in each table (I need to pull * from "Project List") but I'm showing a sampling of the column names and values to get an idea of what to do.
Project List
| RecNum | Project Description |
| 6 | Sample description |
| 7 | Another sample |
WeekA
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 6 | NotMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
WeekB
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 6 | NotMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
So the first query should return the complete totals for both users, like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 40 | 52 |
| 7 | Another sample | 0 | 0 |
The second query should return the totals for just a specified user, (WHERE UserName = 'JustMe') like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 20 | 26 |
| 7 | Another sample | 0 | 0 |
Multiple parallel tables with the same structure is usually a sign of poor database design. The data should really be all in one table, with additional columns specifying the week.
You can, however, use union all to bring the data together. The following is an example of a query:
select pl.recNum, pl.ProjectDescription,
sum(Day1Reg + Day2Reg + Day3Reg) as reg,
sum(Day1OT + Day2OT + Day3OT) as ot
from ProjectList pl join
(select * from weekA union all
select * from weekB
) w
on pl.recNum = w.recNum
group by l.recNum, pl.ProjectDescription,;
In practice, you should use select * with union all. You should list the columns out explicitly. You can add appropraite where clauses or conditional aggregation to get the results you want in any particular case.
Ok, so i'm trying to write a complex query (at least complex to me) and need some pro help. This is my database setup:
Table: MakeList
| MakeListId | Make |
| 1 | Acura |
| 2 | Chevy |
| 3 | Pontiac |
| 4 | Scion |
| 5 | Toyota |
Table: CustomerMake
| CustomerMakeId | CustomerId | _Descriptor |
| 1 | 123 | Acura |
| 2 | 124 | Chevy |
| 3 | 125 | Pontiac |
| 4 | 126 | Scion |
| 5 | 127 | Toyota |
| 6 | 128 | Acura |
| 7 | 129 | Chevy |
| 8 | 130 | Pontiac |
| 9 | 131 | Scion |
| 10 | 132 | Toyota |
Table: Customer
| CustomerId | StatusId |
| 123 | 1 |
| 124 | 1 |
| 125 | 1 |
| 126 | 2 |
| 127 | 1 |
| 128 | 1 |
| 129 | 2 |
| 130 | 1 |
| 131 | 1 |
| 132 | 1 |
What i am trying to end up with is this...
Desired Result Set:
| Make | CustomerId|
| Acura | 123 |
| Chevy | 124 |
| Pontiac | 125 |
| Scion | 131 |
| Toyota | 127 |
I am wanting a list of unique Makes with one active (StatusId = 1) CustomerId to go with it. I'm assuming i'll have to do some GROUP BYs and JOINS but i haven't been able to figure it out. Any help would be greatly appreciated. Let me know if i haven't given enough info for my question. Thanks!
UPDATE: The script doesn't have to be performant - it will be used one time for testing purposes.
Something like this:
select cm._Descriptor,
min(cu.customerid)
from CustomerMake cm
join Customer cu on cuo.CustomerId = cm.CustomerId and cu.StatusId = 1
group by cm._Descriptor
I left out the MakeList table as it seems unnecessary because you are storing the full make name as _Descriptorin the CustomerMake table anyway (so the question is what is the MakeList table for? Why don't you store a FK to it in the CustomerMake table?)
You want to
(a) join the customer and customermake tables
(b) filter on customer.statusid
(c) group by customermake._descriptor
Depending on your RDBMS, you may need to explicitly apply a group function to customer.customerid to include it in the select list. Since you don't care which particular customerid is displayed, you could use MIN or MAX to just pick an essentially arbitrary value.