I am working with SQL Server 2012, I have a two tables, Prospects and ProspectContact, with this sample data:
ProspectID ProspectName ProspectAdd
-----------------------------------------------
1 ABC Company India
2 XYZ Company UAE
3 PQR Company KSA
4 JKL Company INDIA
ProspectContacts table:
ProspectID CName CAdd CDesignation Email
---------------------------------------------------------------------------
1 Mr Sagar India Manager sagar#gmail.com
1 Mr Saurabh India Manager Saurabh#gmail.com
2 Mr Swami UAE Director swami#gmail.com
2 Mr .ABC UAE Engg abc#gmail.com
3 Mr PQR KSA Manager pqr#gmail.com
4 Mr XYZ INDIA Manager xyz#gmail.com
If I apply left join on the above tables with below query
SELECT
P.[PROSPECTNAME], P.[ADDRESS], PC.CONTACTPERSON, PC.EMAILID
FROM
[PROSPECTS] P
LEFT JOIN
[PROSPECTCONTACTS] PC ON P.PROSPECTID = PC.PROSPECTID
WHERE
P.USERID = #UserID
ORDER BY
CDATE DESC
I get this result set:
ProspectName Adress Name Email
---------------------------------------------------
ABC COMPANY INDIA Mr. Sagar sagar#gmail.com
ABC COMPANY INDIA Mr. Saurabh saurabh#gmail.com
whereas my expected result set would be this:
ProspectName Adress Name1 Email1 Name2 Email2
-----------------------------------------------------------------------------
ABC COMPANY INDIA Mr. Sagar sagar#gmail.com Mr.Saurabh saurabh#gmail.com
XYZ COMPNAY USA Mr.Swami swami#gmail.com Mr. ABC abc#gmail.com
PQR COMPANY KSA Mr.Pqr pqr#gmail.com NULL NULL
JKL COMPNAY INDIA Mr.XYZ xyz#gmail.com NULL NULL
Try something like this:
SELECT P.[PROSPECTNAME], P.[ADDRESS], PC.CONTACTPERSON, PC.EMAILID
FROM [PROSPECTCONTACTS] PC
LEFT JOIN [PROSPECTS] P
ON P.PROSPECTID=PC.PROSPECTID
WHERE P.USERID=#UserID ORDER BY CDATE Desc
Related
I have one large spreadsheet with names, addresses, phone numbers, emails, Etc. Some records have a second address for which I have a column named "Address 2" I was hopping to write a query that would give me an output with duplicate rows of which the only difference was the "Address 2" column would be in the main address Column.
Data:
A
B
C
D
E
F
G
1
Status
Name
Address
Phone
Email
Address2
Hire Date
2
Joe Smith
123 Smith St
201 555 3099
Joe#stackoverflow.com
7th Avenue Sq
4
Q
Jane Smith
321 Not Smith St
12/15/1980
5
Robert Smith
818 555 4321
Robert#googlesheets.com
12/13/1981
Looking for an Query output to look like:
A
B
C
D
E
F
1
Status
Name
Address
Phone
Email
Hire Date
2
Joe Smith
123 Smith St
201 555 3099
Joe#stackoverflow.com
3
Joe Smith
7th Avenue Sq
201 555 3099
Joe#stackoverflow.com
4
Q
Jane Smith
321 Not Smith St
12/15/1980
5
Robert Smith
818 555 4321
Robert#googlesheets.com
12/13/1981
I was trying something like:
=QUERY({Sheet1!$A2:$G,Sheet1!$B2:$B,Sheet1!$F2:$J },"SELECT Col1, Col2, Col3, Col4, Col5, Col7 JOIN Col6 ON Col2 = Col2")
Which I think is more or less how it would be in SQL, but Google sheets doesn't have a join function.
Is there any way to get this done?
most simple you can do is:
=QUERY({A1:E, G1:G; A2:B, F2:F, D2:E, G2:G}, "where Col3 is not null", )
Something like this?
You can stack data of the same length with {},
this sample create 2 query function and stack them together.
=ArrayFormula(
LAMBDA(DATA_1,DATA_2,
QUERY({DATA_1;DATA_2},"WHERE Col2 IS NOT NULL ORDER BY Col2",1)
)(
QUERY({A1:G4},"SELECT "&JOIN(",","Col"&{1,2,3,4,5,7}),1),
QUERY({A1:G4},"SELECT "&JOIN(",","Col"&{1,2,6,4,5,7})&" WHERE Col6 IS NOT NULL LABEL "&JOIN(",","Col"&{1,2,6,4,5,7}&"''"),1)
)
)
Currently I have three tables I am joining. I have data that was migrated from one system(old) to another system(new). I need to compare this data to ensure matches but also mismatches. I have three tables. One has the list of accounts being moved. The two systems have differnt ID types so this first table is a list of all IDs for the two tables and each account that was moved. So this is my base population.
ID1 ID2
ABC 123
ABC 123
ABC 123
DEF 456
DEF 456
DEF 456
I then have table 2 which is all the data from the old system.
ID Fname Lname
ABC John Smith
ABC Tom Smith
ABC Kate Smith
DEF Jason Thomas
DEF Ruby Thomas
DEF Alex Johnson
Then table 3 is all the data found in the new system.
ID Fname Lname
123 John Smith
123 Tom Smith
123 Kate Smith
456 Jason Thomas
456 Ruby Thomas
Right now when I join these tables on the ID I get a lot more rows than I need.
When I do my join I receive this:
ID Fname_old Lname_old ID2 Fname_new Lname_new
ABC John Smith 123 John Smith
ABC John Smith 123 Tom Smith
ABC John Smith 123 Kate Smith
I am trying to join them where it only returns the row that matches, and if it can't find a match I should still get the ID from the ID file and the data from table 2(old data) as this is the data that was sent to the new system.
ID1 ID2 Fname_old Lname_old Fname_new Lname_new
ABC 123 John Smith John Smith
ABC 123 Tom Smith Tom Smith
ABC 123 Kate Smith Kate Smith
DEF 456 Jason Thomas Jason Thomas
DEF 456 Ruby Thomas Ruby Thomas
DEF 456 Alex Johnson
The code I am using is:
Select a.ID1, a.ID2, b.fname as fname_old, b.lnam as lname_old,
c.fname as fname_new, c.lname as lname_new
from table1 a
left join table2 b
on a.ID1 = b.ID
left join table3 c
on a.ID2 = c.ID
If its just duplicate rows in your first table you could try distincting them in a derived table like below:
Select a.ID1, a.ID2, b.fname as fname_old, b.lnam as lname_old,
c.fname as fname_new, c.lname as lname_new
from (SELECT DISTINCT ID1, ID2 FROM table1) a
left join table2 b
on a.ID1 = b.ID
left join table3 c
on a.ID2 = c.ID
You are joining them on ID columns.
ID columns are usually UNIQUE while you have multiple identical IDs and specify join on those IDs.
Since you need to compare data, i suggest you lookup MATCH and how it works as that seems to be closer to what you are looking for here.
You can get a match using row_number():
Select a.ID1, a.ID2, b.fname as fname_old, b.lnam as lname_old,
c.fname as fname_new, c.lname as lname_new
from (select a.*,
row_number() over (partition by id order by id) as seqnum
from table1 a
) a left join
(select b.*,
row_number() over (partition by id order by id) as seqnum
from table2 b
) b
on a.ID1 = b.ID and a.seqnum = b.seqnum
(select c.*,
row_number() over (partition by id order by id) as seqnum
from table3 c
) c
on a.ID2 = c.ID and a.seqnum = c.seqnum;
Note: This does not preserve the "ordering" of the original values, so any rows can be matched with any other. Why? SQL tables represent unordered sets.
If there is an ordering in the tables, you can use that in the order by clauses to get a match consistent with the ordering.
If you have a compare chance for name and last name this code will work.
select DISTINCT a.ID1, a.ID2, b.fname as fname_old, b.lname as lname_old, c.fname as
fname_new, c.lname as lname_new from table2 b
left join table1 a on a.ID1=b.ID
left join table3 c on a.ID2=c.ID and b.Fname=c.Fname and b.Lname=c.Lname
My Result :
ID1 ID2 fname_old lname_old fname_new lname_new
ABC 123 John Smith John Smith
ABC 123 Kate Smith Kate Smith
ABC 123 Tom Smith Tom Smith
DEF 456 Alex Johnson NULL NULL
DEF 456 Jason Thomas Jason Thomas
DEF 456 Ruby Thomas Ruby Thomas
You say that this is data transferred to two systems. So you expect all data to match. You could hence reduce the query to only find data that doesn't match, if any.
Here is a SQL standard compliant query. You tagged your request with hive. I don't know about hive, so you may have to adjust the query.
select
t2.id as id1,
t3.id as id2,
t2.fname as fname_old,
t2.lname as lname_old,
t3.fname as fname_new,
t3.lname as lname_new
from table2 t2
full outer join t3
on t3.fname = t2.fname
and t3.lname = t2.lname
and exists (select null from table1 t1 where t1.id1 = t2.id and t1.id2 = t3.id)
where t2.id is null or t3.id is null;
This is a full anti join. It returns all rows that have no exact match in the other table. It doesn't, however guesstimate which deviating rows may be pairs. You will get a result like this:
ID1 | ID2 | Fname_old | Lname_old | Fname_new | Lname_new
----+-----+-----------+-----------+-----------+----------
DEF | | Alex | Johnson | |
GHI | | Jone | Miller | |
GHI | | Maxx | Miller | |
GHI | | Fritz | Miller | |
| 789 | | | Joan | Miller
| 789 | | | Max | Miller
| 799 | | | Fritz | Miller
As you see, you would have to examine this result manually. But ideally the query shouldn't return any row at all, which would just prove that everything went as expected and nobody (system or person) messed with the data :-)
I have a table with say 10 columns where the unique identifier is id column.
I need print all the rows where value for any given id changes for any of the 10 coloums.
Eg:
Id name city state address mail phn number store no business name date
1 adam california ca acbb street xyz#gmail.com 12345 456 abc pvt 01-01-2017
1 adam newyork Ny avc xyz#gmail.com 12345 456 abc pvt 11-03-2018
1 adam newyork Ny avc xyz#gmail.com 12345 456 abcd pvt 24-03-2018
2 brian dallas Tx sasa sasa#gmail.com 21212 dsdssd ltd 01-01-2017
2 brian dallas Tx sasa sasa#gmail.com 232323 21212 dsdssd ltd 01-01-2017
3 donald dallas Tx qwer qwwqw#gmail.com 2121212 435345 sffsss ltd 23-01-2017
As shown above for id 1 there is a change from the first row to 2nd row on city state address so that should come .also for id 1 the 3rd row changes only business name so that should also be printed.
So basically for an id the status for that id before that date should be checked and if there is any change in any column it should be printed.
Same goes for id 2.For id 3 there is only one entry so that should not be printed.
The check needs to be done based on date for an id.
The data set that I have is in millions so would need a fine tuned query.
If you have a column for row number( for example ROWID), you can simply select all rows that has a pair (based on ID) in previous records and check if any of the last row columns differs from the first one:
select a.* from [yourTable] a
inner join [yourTable] b
on a.Id = b.Id where a.RowId > b.RowId
and (a.name <> b.name OR a.city <> b.city OR a.state <> b.state OR a.address <> b.address ... )
-----------------------
country | city | ids
-----------------------
India Mumbai 1
India Chennai 2
India Kolkata 3
---------------------
USA New York 2
USA Utah 3
---------------------
I have given a sample from a table. From the table, I am trying to query all the countries without id 1. I wrote this(Country was not included in the Where condition since it needs to apply to all the countries of the table).
Select * from Countries
WHERE id<>1
I got this.
-----------------------
country | city | ids
-----------------------
India Chennai 2
India Kolkata 3
---------------------
USA New York 2
USA Utah 3
---------------------
But I need the output to contain only USA(which does not have id=1). Is there any workaround for this?
SELECT * from Countries WHERE country not in
(SELECT country from Countries WHERE id=1)
use NOT EXISTS
Select *
from Countries c
where not exists
(
select *
from Countries x
where x.country = c.country
and x.id = 1
)
You need to group by Country like below :
SELECT C.Country
FROM City
WHERE C.Country NOT IN
(SELECT country FROM City WHERE id=1)
SQL Fiddle Demo
OR
SELECT
C.Country
FROM
City C
GROUP BY C.Country
HAVING C.Country NOT IN
(
SELECT Country FROM City WHERE Id =1
)
SQL Fiddle Demo
I have a tables below
Main Table: tblMain
Phase Country City
AAA India Bangalore
AAA USA Chicago
ZZZ USA
ZZZ UK
SubTable: tblSub
Phase Country City Value
AAA USA Chicago 3
AAA USA NY 6
AAA UK London 5
AAA India Bangalore 6
AAA India Delhi 9
ZZZ USA Chicago 7
ZZZ UK London 8
Expected Result
Phase Country City Value
AAA India Bangalore 6
AAA USA Chicago 3
ZZZ USA 7
ZZZ UK 8
I want to join this with my Main table which has Phase, Country and City, however the condition is
For Phase "ZZZ" i want to join only by Country where as for Phase "AAA" i want to join ty Country & City. Is is possible to do in SQL Query without a Stored procedure or temp tables
I am looking to achieve this in plain query. Thanks in advance!!!
SELECT *
FROM This_Table TT
LEFT JOIN Main_Table MT ON TT.Countrry = MT.Country
AND TT.Phase = 'ZZZ'
LEFT JOIN Main_Table MT2 ON TT.Countrry = MT2.Country
AND TT.City = MT2.City
AND TT.Phase = 'AAA'
This should do it:
WHERE
(a.phase = 'ZZZ' AND a.country = b.country)
OR
(a.phase = 'AAA' AND a.country = b.country AND a.city = b.city)