I have an employee table with columns
employee_ID, employee_name, employee_DOB, emp_Email, Emp_Phone, Emp_Position
and a transaction table with columns
transaction_ID, employee_ID, distribution_ID, Invoice_Number, transaction_Date
I want to show these columns using a SQL query:
Emp_Position, Transaction_done
Transaction_done is a number consisting of how many transactions employees in each position has done.
I've tried to use select count(transaction_ID) but it didn't show a correct count.
Try this:
SELECT Emp_Position
,count(transaction_ID)
FROM employee e
INNER JOIN [transaction] t
ON e.[employee_ID] = t.[employee_ID]
GROUP BY Emp_Position;
I have a requirement to find emplid having data difference in same table. Table consist of 50-60 columns.. I need to check if any column has change in data from previous row, emplidshould get pick up as well as if any new employee get add that also needs to pick up..
I have created a basic query and it is working but need some way to achieve same purpose as I do not want to write every column name.
My query:
select
emplid
from
ps_custom_tbl t, ps_custom_tbl prev_t
where
prev_t.emplid = t.emplid
and t.effdt = (select max effdt from ps_custom_tbl t2
where t2.emplid = t.emplid)
and prev_t.effdt = (select max(effdt) from ps_custom_tbl prev_t2
where emplid = prev_t.emplid and effdt < t.effdt)
and (t.first_name prev_t.first_name Or t.last_name prev_t.last_name …. 50 columns);
Can you please suggest another way to achieve same thing?
You can use MINUS.
if no_data then both are the same, if there are some records - mean that there is a difference between
create table emp as select * from hr.employees;
insert into emp select employee_id+1000, first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id,
decode(department_id ,30,70, department_id)
from hr.employees;
select first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id
from emp where employee_id <= 1000
minus
select first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id
from emp where employee_id > 1000;
But you have to list all columns, because if you have eg different dates or ids - they will be compared too. But it's easier to list columns in SELECT clause then write for everyone WHERE condition.
Maybe it will help.
-- or if different tables and want to compare all cols simply do
drop table emp;
create table emp as select * from hr.employees;
create table emp2 as
select employee_id, first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id,
decode(department_id ,30,70, department_id) department_id
from hr.employees;
select * from emp
minus
select * from emp2;
---- ADD DATE CRITERIA
-- yes, you can add date criteria and using analytical functions check which
-- is newer and which is
older and then compare one to another. like below:
drop table emp;
create table emp as select * from hr.employees;
insert into emp
select
employee_id,
first_name,
last_name,
email,
phone_number,
hire_date+1,
job_id,
salary,
commission_pct,
manager_id,
decode(department_id ,30,70, department_id)
from hr.employees;
with data as --- thanks to WITH you retrieve data only once
(select employee_id, first_name, last_name, email, phone_number,
hire_date,
row_number() over(partition by employee_id order by hire_date desc) rn -- distinguish newer and older record,
job_id, salary, commission_pct, manager_id, department_id
from emp)
select employee_id, first_name, last_name, email, phone_number, department_id from data where rn = 1
MIUNUS--- find the differences
select employee_id, first_name, last_name, email, phone_number, department_id from data where rn = 2;
You will have to write all columns in some sense no matter what you do.
In terms of comparing current and previous, you might find this easier
select
col1,
col2,
...
lag(col1) over ( partition by empid order by effdt ) as prev_col1,
lag(col2) over ( partition by empid order by effdt ) as prev_col2
...
and then you comparison will be along the lines of
select *
from ( <query above >
where
decode(col1,prev_col1,0,1) = 1 or
decode(col2,prev_col2,0,1) = 1 or
...
The use of DECODE in this way handles the issues of nulls.
My requirement is to send out data to managers, they change any/all/none of the data in the columns, and send back to me. I then have to identify each column that has a difference from what I sent, and mark those columns as changed for a central office reviewer to visually scan and approve/deny the changes for integration back into the central data set.
This solution may not fit your needs of course, but a template structure is offered here that you can augment to meet your needs no matter the number of columns. In the case of your question, 50-60 columns will make this SQL query huge, but I've written heinously long queries in the past with great success. Add columns a few at a time rather than all wholesale according to this template and see if they work along the way.
You could easily write pl/sql to write this query for you for the tables in question.
This would get very cumbersome if you had to compare columns from 3 or more tables or bi-directional changes. I only care about single direction changes. Did the person change my original row columns or not. If so, what columns did they change, and what was my before value and what is their after value, and show me nothing else please.
In other words, only show me rows with columns that have changes with their before values and nothing else.
create table thing1 (id number, firstname varchar2(10), lastname varchar2(10));
create table thing2 (id number, firstname varchar2(10), lastname varchar2(10));
insert into thing1 values (1,'Buddy', 'Slacker');
insert into thing2 values (1,'Buddy', 'Slacker');
insert into thing1 values (2,'Mary', 'Slacker');
insert into thing2 values (2,'Mary', 'Slacke');
insert into thing1 values (3,'Timmy', 'Slacker');
insert into thing2 values (3,'Timm', 'Slacker');
insert into thing1 values (4,'Missy', 'Slacker');
insert into thing2 values (4,'Missy', 'Slacker');
commit;
Un-comment commented select * queries one at a time after each data set to understand what is in each data set at each stage of the refinement process.
with rowdifferences as
(
select
id
,firstname
,lastname
from thing2
minus
select
id
,firstname
,lastname
from thing1
)
--select * from rowdifferences
,thing1matches as
(
select
t1.id
,t1.firstname
,t1.lastname
from thing1 t1
join rowdifferences rd on t1.id = rd.id
)
--select * from thing1matches
, col1differences as
(
select
id
,firstname
from rowdifferences
minus
select
id
,firstname
from thing1matches
)
--select * from col1differences
, col2differences as
(
select
id
,lastname
from rowdifferences
minus
select
id
,lastname
from thing1matches
)
--select * from col2differences
,truedifferences as
(
select
case when c1.id is not null then c1.id
when c2.id is not null then c2.id
end id
,c1.firstname
,c2.lastname
from col1differences c1
full join col2differences c2 on c1.id = c2.id
)
--select * from truedifferences
select
t1m.id
,case when td.firstname is not null then t1m.firstname end beforefirstname
,td.firstname afterfirstname
,case when td.lastname is not null then t1m.lastname end beforelastname
,td.lastname afterlastname
from thing1matches t1m
join truedifferences td on t1m.id = td.id
;
I have a table which contains duplicates and I would like to keep only one row for each duplicates.
I can select duplicates with my SQL command :
SELECT DISTINCT ON (email, first_name, last_name) * from customer;
But I would like to use DELETE with my previous command.
This command should work right ?
DELETE FROM customer WHERE customer.id NOT IN
(SELECT id FROM
(SELECT DISTINCT ON (email, first_name, last_name) * from customer));
Is it true ?
I guess you have a id field.
delete from customer
where id not in (
select min(id)
from customer
group by email, first_name, last_name
)
The subquery finds the id of the rows you want to keep.
Then you delete the other rows
I can't find your ID in (SELECT DISTINCT ON (email, first_name, last_name) * from customer));
The distinct on only return the first row of the duplication data that is unpredictable
I know it is possible to insert records into a table by using a select statement on a different table, but I need to use a where clause to select which record. For example,
INSERT INTO Employee_Archive(EmployeeID, Name, ArchiveReason)
SELECT EmployeeID FROM Employees, Name from Employees, 'Retired'
WHERE EmployeeID = '001'
I hope that example makes sense. I wish to get the EmployeeID and the Name from the Employees table, and add my own ArchiveReason value, but I need to specify by which EmployeeID. Cheers
You can simply add a WHERE clause in your SELECT statement:
SELECT
EmployeeID,
Name,
'Retired'
FROM Employees
WHERE EmployeeID = '001'
I have a table in MySQL of contact information ;
first name, last name, address, etc.
I would like to run a query on this table that will return only rows with first and last name combinations which appear in the table more than once.
I do not want to group the "duplicates" (which may only be duplicates of the first and last name, but not other information like address or birthdate) -
I want to return all the "duplicate" rows so I can look over the results and determine if they are dupes or not. This seemed like it would be a simple thing to do, but it has not been.
Every solution I can find either groups the dupes and gives me a count only (which is not useful for what I need to do with the results) or doesn't work at all.
Is this kind of logic even possible in a query ? Should I try and do this in Python or something?
You should be able doing this with the GROUP BY approach in a sub-query.
SELECT t.first_name, t.last_name, t.address
FROM your_table t
JOIN ( SELECT first_name, last_name
FROM your_table
GROUP BY first_name, last_name
HAVING COUNT(*) > 1
) t2
ON ( t.first_name = t2.first_name, t.last_name = t2.last_name )
The sub-query returns all names (first_name and last_name) that exist more than once, and the JOIN returns all records that match these names.
You could do it with a GROUP BY / HAVING and A SUB SELECT. Something like
SELECT t.*
FROM Table t INNER JOIN
(
SELECT FirstName, LastName
FROM Table
GROUP BY FirstName, LastName
HAVING COUNT(*) > 1
) Dups ON t.FirstName = Dups.FirstName
AND t.LastName = Dups.LastName
select * from people
join (select firstName, lastName
from people
group by firstName, lastName
having count(*) > 1
) dupe
using (firstName, lastName)