I want to be able to find any potential differences between data inputted on one day to another.
The relevant col. from the table are seen below:
Name | Size | DateSale | Location | Comments | Date
The two current queries are:
Select Name, Size, DateSale, Location, Comments from [Table] where Date = '06/02/2022'
Select Name, Size, DateSale, Location, Comments from [Table] where Date = '06/01/2022'
How would I come up with a list of values that are different from these two lists? Tried working with select distinct but could not figure it out.
Sample Data:
Name | Size | DateSale | Location | Comments | Date
john | 100 |06/05/2022| Houston | proj. | 06/02/2022
john | 100 |06/04/2022| Dallas | | 06/01/2022
jake | 90 |06/04/2022| Houston | proj. | 06/02/2022
jake | 90 |06/04/2022| Houston | proj. | 06/01/2022
Desired Result:
john | 100 |06/05/2022| Houston | proj. | 06/02/2022
Since the keys (Name + Size) are the same, but there are differences in the other categories (Sale Date, Location, or Comments), it will return
the row from the first query (most recent date)
SELECT y.* FROM (SELECT * from Table where Date = '05/31/2022') as x,
(SELECT * FROM Table where DATE = '06/02/2022') as y where x.Name = y.Name
and x.Size = y.Size and (x.DateSale!=y.DateSale or x.Location!=y.Location or
x.COMMENTS != y.COMMENTS)
This solution worked for me
Related
I have a table that looks like that:
+----------+----------+----------+----------+--------------------------+
| Club | Role | Name | Lastname | Email |
+----------+----------+----------+----------+--------------------------+
| Porto | 1 | Peter | Pan | peter.pan#mail.com |
| Porto | 2 | Michelle | Obama | michelle.obama#mail.com |
| Monaco | 1 | Serena | Williams | serena.williams#mail.com |
| Monaco | 2 | David | Beckham | david.beckham#mail.com |
+----------+----------+----------+----------+--------------------------+
and i want to get a table like that:
+----------+-----------------+-----------------+---------------------------------+-----------------+-----------------+---------------------------------+
| Club | Role 1 Name | Role 1 Lastname | Role 1 Email | Role 2 Name | Role 2 Lastname | Role 2 Email |
+----------+-----------------+-----------------+---------------------------------+-----------------+-----------------+---------------------------------+
| Porto | Peter | Pan | peter.pan#mail.com | Michelle | Obama | michelle.obama#mail.com |
| Monaco | Serena | Williams | serena.williams#mail.com | David | Beckham | david.beckham#mail.com |
+----------+-----------------+-----------------+---------------------------------+-----------------+-----------------+---------------------------------+
where the persons with different roles in each club puts in the same row.
I would ideally like to find a way to do that in Excel, but i am not sure if its possible. If not, SQL code would also help a lot.
Here is what I could come up with for an excel formula. Hopefully it can push you in the right direction.
This formula is assuming that your first table exists at the range A1:E5 and the second table exists at the range G1:M3. It is also assuming that the second table's column names are just repeating without the Role number attached to the front of it (same as the first table). This formula is an array formula, so you have to make sure to do CTRL+SHIFT+ENTER when inputting it.
{=INDEX($A$2:$E$5,
MATCH(1,($G2=$A$2:$A$5)*((FLOOR((COLUMN() - COLUMN($H$1) ) / 3,1) + 1)=$B$2:$B$5),0),
MATCH(H$1,$A$1:$E$1,0))}
The first part is using the INDEX forumla which pulls data from the range suppled ($A$2:$E$5) based on the row and column numbers supplied by the following MATCH formulas.
The first MATCH is supplying the row number for when the result of the lookup array section is equal to 1. I am checking two conditions, the first is to check for the "Club" name ($G2=$A$2:$A$5) and the second is to check for which "Role" we are currently on ((FLOOR((COLUMN() - COLUMN($H$1) ) / 3,1) + 1). This is using the FLOOR function to round the result down to the whole number and dividing by the number of columns (3 in this case: Name, Lastname, and Email).
The final MATCH is pulling the column number based on the header names from both tables. If you wanted to incorporate the changing names of the roles in the column headers, you could change this part to something like this:
{=INDEX($A$2:$E$5,
MATCH(1,($G2=$A$2:$A$5)*((FLOOR((COLUMN() - COLUMN($H$1) ) / 3,1) + 1)=$B$2:$B$5),0),
MOD(COLUMN() - COLUMN($H$1),3) + 3)}
I am adding 3 to the end of the mod because of the original range that was selected for table 1. The columns that we want to pull start at location 3 in the range.
If you want to do this in Oracle Sql, there's a nice approach in analytical sql.
To convert/swap rows to columns or columns to rows, we can use Pivot or Unpivot operators.
In you example use below query to covert data as you like,
select * from
(
with all_roles as
(select 1 role from dual union all
select 2 role from dual),
ddata as
(select 1 c_role, 'porto' club, 'peter' fname,'pan' lname,'peter.pan#mail.com' email from dual union all
select 2 c_role, 'porto' club, 'Michelle' fname, 'Obama' lname,'michelle.obama#mail.com' email from dual union all
select 1 c_role, 'monaco' club, 'Serena' fname, 'Williams' lname,'serena.williams#mail.com' email from dual union all
select 2 c_role, 'monaco' club, 'David' fname, 'Beckham' lname,'david.beckham#mail.com' email from dual )
(select role, club, fname,lname, email from ddata,all_roles
where all_roles.role=ddata.c_role)) all_data
pivot (
max(fname) fname,
max(lname) lname,
max(email) email
for role in ( 1 role1, 2 role2 )
)
order by club;
I have a table car that looks like this:
| mileage | carid |
------------------
| 30 | 1 |
| 50 | 1 |
| 100 | 1 |
| 0 | 2 |
| 70 | 2 |
I would like to get the average difference for each car. So for example for car 1 I would like to get ((50-30)+(100-50))/2 = 35. So I created the following query
SELECT AVG(diff),carid FROM (
SELECT (mileage-
(SELECT Max(mileage) FROM car Where mileage<mileage AND carid=carid GROUP BY carid))
AS diff,carid
FROM car GROUP BY carid)
But this doesn't work as I'm not able to use current row for the other column. And I'm quite clueless on how to actually solve this in a different way.
So how would I be able to obtain the value of the next row somehow?
The average difference is the maximum minus he minimum divided by one less than the count (you can do the arithmetic to convince yourself this is true).
Hence:
select carid,
( (max(mileage) - min(mileage)) / nullif(count(*) - 1, 0)) as avg_diff
from cars
group by carid;
I have an app that has the built in initial Select option and only allows me to enter from the Where section. I have rows with duplicate values. I'm trying to get the list of just one record for each distinct value but am unsure how to get the statement to work. I've found one that almost does the trick but it doesn't give me any rows that had a dup. I assume due to the = so just need a way to get one for each that matches my where criteria. Examples below.
Initial Data Set
Date | Name | ANI | CallIndex | Duration
---------------------------------------------------------
2/2/2015 | John | 5555051000 | 00000.0001 | 60
2/2/2015 | John | | 00000.0001 | 70
3/1/2015 | Jim | 5555051001 | 00000.0012 | 80
3/4/2015 | Susan | | 00000.0022 | 90
3/4/2015 | Susan | 5555051002 | 00000.0022 | 30
4/10/2015 | April | 5555051003 | 00000.0030 | 35
4/11/2015 | Leon | 5555051004 | 00000.0035 | 10
4/15/2015 | Jane | 5555051005 | 00000.0050 | 20
4/15/2015 | Jane | 5555051005 | 00000.0050 | 60
4/15/2015 | Kevin | 5555051006 | 00000.0061 | 35
What I Want the Query to Return
Date | Name | ANI | CallIndex | Duration
---------------------------------------------------------
2/2/2015 | John | 5555051000 | 00000.0001 | 60
3/1/2015 | Jim | 5555051001 | 00000.0012 | 80
3/4/2015 | Susan | 5555051002 | 00000.0022 | 30
4/10/2015 | April | 5555051003 | 00000.0030 | 35
4/11/2015 | Leon | 5555051004 | 00000.0035 | 10
4/15/2015 | Jane | 5555051005 | 00000.0050 | 20
4/15/2015 | Kevin | 5555051006 | 00000.0061 | 35
Here is what I was able to get but when i run it I don't get the rows that did have dups callindex values. duration doesn't mattern and they never match up so if it helps to query using that as a filter that would be fine. I've added mock data to assist.
use Database
SELECT * FROM table
WHERE Date between '4/15/15 00:00' and '4/15/15 23:59'
and callindex in
(SELECT callindex
FROM table
GROUP BY callinex
HAVING COUNT(callindex) = 1)
Any help would be greatly appreciated.
Ok with the assistance of everyone here i was able to get the query to work perfectly within SQL. That said apparently the app I'm trying this on has a built in character limit and the below query is too long. This is the query i have to use as far as the restrictions and i have to be able to search both ID's at the same time because some get stamped with one or the other rarely both. I'm hoping someone might be able to help me shorten it?
use Database
select * from tblCall
WHERE
flddate between '4/15/15 00:00' and '4/15/15 23:59'
and fldAgentLoginID='1234'
and fldcalldir='incoming'
and fldcalltype='external'
and EXISTS (SELECT * FROM (SELECT MAX(fldCallName) AS fldCallName, fldCallID FROM tblCall GROUP BY fldCallID) derv WHERE tblCall.fldCallName = derv.fldCallName AND tblCall.fldCallID = derv.fldCallID)
or
flddate between '4/15/15 00:00' and '4/15/15 23:59'
and '4/15/15 23:59'
and fldPhoneLoginID='56789'
and fldcalldir='incoming'
and fldcalltype='external'
and EXISTS (SELECT * FROM (SELECT MAX(fldCallName) AS fldCallName, fldCallID FROM tblCall GROUP BY fldCallID) derv WHERE tblCall.fldCallName = derv.fldCallName AND tblCall.fldCallID = derv.fldCallID)
If the constraint is that we can only add to the WHERE clause, I don't think it's possible, due to there being 2 absolutely identical rows:
4/15/2015 | Jane | 5555051005 | 00000.0050
4/15/2015 | Jane | 5555051005 | 00000.0050
Is it possible that you can add HAVING or GROUP BY to the WHERE? or possibly UNION the SELECT to another SELECT statement? That may open up some additional possibilities.
Maybe with an union:
SELECT *
FROM table
GROUP BY Date, Name, ANI, CallIndex
HAVING ( COUNT(*) > 1 )
UNION
SELECT *
FROM table
WHERE Name not in (SELECT name from table
GROUP BY Date, Name, ANI, CallIndex
HAVING ( COUNT(*) > 1 ))
From your sample, it seems like you could just exclude rows in which there was no value in the ANI column. If that is the case you could simply do:
use Database
SELECT * FROM table
WHERE Date between '4/15/15 00:00' and '4/15/15 23:59'
and ANI is not null
If this doesn't work for you, let me know and I can see what else I can do.
Edit:
You've made it sound like the CallIndex combined with the Duration is a unique value. That seems somewhat doubtful to me, but if that is the case you could do something like this:
use Database
SELECT * FROM table
WHERE Date between '4/15/15 00:00' and '4/15/15 23:59'
and cast(callindex as varchar(80))+'-'+cast(min(duration) as varchar(80)) in
(SELECT cast(callindex as varchar(80))+'-'+cast(min(duration) as varchar(80))
FROM table
GROUP BY callindex)
There are two keywords you can use to get non-duplicated data, either DISTINCT or GROUP BY. In this case, I would use a GROUP BY, but you should read up on both.
This query groups all of the records by CallIndex and takes the MAX value for each of the other columns and should give you the results you want:
SELECT MAX(Date) AS Date, MAX(Name) AS Name, MAX(ANI) AS ANI, CallIndex
FROM table
GROUP BY CallIndex
EDIT
Since you can't use GROUP BY directly but you can have any SQL in the WHERE clause you can do:
SELECT *
FROM table
WHERE EXISTS
(
SELECT *
FROM
(
SELECT MAX(Date) AS Date, MAX(Name) AS Name, MAX(ANI) AS ANI, CallIndex
FROM table
GROUP BY CallIndex
) derv
WHERE table.Date = derv.Date
AND table.Name = derv.Name
AND table.ANI = derv.ANI
AND table.CallIndex = derv.CallIndex
)
This selects all rows from the table where there exists a matching row from the GROUP BY.
It won't be perfect, if any two rows match exactly, you'll still have duplicates, but that's the best you'll get with your restriction.
In your data, why not just do this?
SELECT *
FROM table
WHERE Date >= '2015-04-15' and Date < '2015-04-16'
ani is not null;
If the blank values are only a coincidence, then you have a problem just using a where clause. If the results are full duplicates (no column has a different value), then you probably cannot do what you want with just a where clause -- unless you are using SQLite, Oracle, or Postgres.
Let's say I have a table in BigQuery containing 2 columns. The first column represents a name, and the second is a delimited list of values, of arbitrary length. Example:
Name | Scores
-----+-------
Bob |10;20;20
Sue |14;12;19;90
Joe |30;15
I want to transform into columns where the first is the name, and the second is a single score value, like so:
Name,Score
Bob,10
Bob,20
Bob,20
Sue,14
Sue,12
Sue,19
Sue,90
Joe,30
Joe,15
Can this be done in BigQuery alone?
Good news everyone! BigQuery can now SPLIT()!
Look at "find all two word phrases that appear in more than one row in a dataset".
There is no current way to split() a value in BigQuery to generate multiple rows from a string, but you could use a regular expression to look for the commas and find the first value. Then run a similar query to find the 2nd value, and so on. They can all be merged into only one query, using the pattern presented in the above example (UNION through commas).
Trying to rewrite Elad Ben Akoune's answer in Standart SQL, the query becomes like this;
WITH name_score AS (
SELECT Name, split(Scores,';') AS Score
FROM (
(SELECT * FROM (SELECT 'Bob' AS Name ,'10;20;20' AS Scores))
UNION ALL
(SELECT * FROM (SELECT 'Sue' AS Name ,'14;12;19;90' AS Scores))
UNION ALL
(SELECT * FROM (SELECT 'Joe' AS Name ,'30;15' AS Scores))
))
SELECT name, score
FROM name_score
CROSS JOIN UNNEST(name_score.score) AS score;
And this outputs;
+------+-------+
| name | score |
+------+-------+
| Bob | 10 |
| Bob | 20 |
| Bob | 20 |
| Sue | 14 |
| Sue | 12 |
| Sue | 19 |
| Sue | 90 |
| Joe | 30 |
| Joe | 15 |
+------+-------+
If someone is still looking for an answer
select Name,split(Scores,';') as Score
from (
# replace the inner custome select with your source table
select *
from
(select 'Bob' as Name ,'10;20;20' as Scores),
(select 'Sue' as Name ,'14;12;19;90' as Scores),
(select 'Joe' as Name ,'30;15' as Scores)
);
I have this table on MS Access:
Name | Week | Manager | Sales
John | 201409 | Marcelo | 53
John | 201410 | Marcelo | 20
John | 201410 | Raquel | 30
John | 201411 | Raquel | 53
I have to merge Week 201410 by the max Sales and choose which Manager. After this I'd like to sum the Total Sales for this two and make like this:
Name | Week | Manager | Sales
John | 201409 | Marcelo | 53
John | 201410 | Raquel | 50
John | 201411 | Raquel | 53
Could anybody help me? I tried a lot of SQL and couldn't do nothing useful.
You can try this:
SELECT [Name], [Week], [Manager], SUM([Sales]) as Sales1
From [YourTable]
GROUP BY [Name], [Week], [Manager]
I did not test this so let me know what errors you get.
If each row had a unique identifier (Primary Key), it would be a lot simpler. However, you work with the data you have, not with the data you wish you had, so here's my circuitous way of accomplishing it. You could combine this all into one query and avoid using temporary tables; I split it out this way to make it convenient to understand, rather than being concise.
First, extract the highest Sales for each Name-Week combination:
SELECT Name, Week, MAX(Sales)
INTO #MaxSales
FROM [YourTable]
GROUP BY Name, Week
Use this information to get the Manager that you should use for each week (We use TOP 1 to resolve the case where two managers have the same sales for the same Name/Week; I'm not sure how you would want to resolve this.):
SELECT Name, Week, Manager
INTO #MaxSalesManager
FROM [YourTable]
INNER JOIN #MaxSales
ON [YourTable].Name = #MaxSales.Name
AND [YourTable].Week = #MaxSales.Week
WHERE [YourTable].Sales = #MaxSales.Sales
Now you can extract the information you need:
SELECT [YourTable].Name, [YourTable].Week, #MaxSalesManager.Manager, SUM([YourTable].Sales)
FROM [YourTable]
INNER JOIN #MaxSalesManager
ON [YourTable].Name = #MaxSalesManager.Name
AND [YourTable].Week = #MaxSalesManager.Week
GROUP BY [YourTable].Name, [YourTable].Week, #MaxSalesManager.Manager
Hope this helps!
EDIT:
Combining them all into one query:
SELECT [YourTable].Name,
[YourTable].Week,
#MaxSalesManager.Manager,
SUM([YourTable].Sales)
FROM [YourTable]
INNER JOIN
(SELECT Name, Week, Manager
FROM [YourTable]
INNER JOIN
(SELECT Name, Week, MAX(Sales)
FROM [YourTable]
GROUP BY Name, Week) AS #MaxSales
ON [YourTable].Name = #MaxSales.Name
AND [YourTable].Week = #MaxSales.Week
WHERE [YourTable].Sales = #MaxSales.Sales) AS #MaxSalesManager
ON [YourTable].Name = #MaxSalesManager.Name
AND [YourTable].Week = #MaxSalesManager.Week
GROUP BY [YourTable].Name, [YourTable].Week, #MaxSalesManager.Manager