I have two tables in a database. The tables are called bi_employee and hr_employee. These two tables have few similar columns and then other extra columns specific to each table.
I need to reconcile the data between these two tables based on some user defined columns.
Lets say the common columns are id(pk), emp_code, region, country, title, division etc.
Now when I reconcile these two tables, I would want to see the rows which are there in both the tables but only differ in some columns.
e.g. emp_code 1000 is prsent in both the tables but in hr_employee his title is jr. developer but in bi_employee his title is sr.developer.
I do not want the records which are in one table but not in another table.
I only need to reconcile the rows which are present in both the tables but on columnwise which will be selected by the user.
User may chose to reconcile based on title or region or country or all of them.
Please help.
EDIT 1:
This is what I have done so far, with the following query I could get all the records which are there in both the tables. Now I just need to compare their columns to see if there are any mismatches.
SELECT emp_code FROM bi_employee INTERSECT SELECT emp_code FROM hr_employee
From what I understand, there is only one column that relates the recodes in each table; emp_code. Then you want to show records where the emp_code is the same in each talbe, but other field(s) are different.
You can do that with a simple join and filter in a WHERE clause...
SELECT
*
FROM
bi_employee
INNER JOIN
hr_employee
ON bi_employee.emp_code = hr_employee.emp_code
WHERE
(bi_employee.title <> hr_employee.title)
OR (bi_employee.region <> hr_employee.region)
etc, etc
(If any fields are nullable, you'll need to account for that with something like ISNULL(bi.x, '') <> ISNULL(hr.x, '')).
You might try this.
select hr.<list of columns to reconcile from hr table>
from bi_employee bi join hr_employee hr on hr.emp_code = bi.empcode
minus
select bi.<list of columns to reconcile from bi table>
from bi_employee bi join hr_employee hr on hr.emp_code = bi.empcode
Related
I have two different tables with records I need to join together in a way I can't quite figure out how to make work. My data looks like this.
Table A
Columns: Employee_ID, Employee_Department, Employee_Team, Manager_ID, Is_a_Manager ... many other columns
Sample Values:
12345 Department1 Team1 67890 Yes/No
.
.
.
One employee per row, several thousand rows comprising the entire company
Table B
Employee_ID, Manager_ID ... other columns
The exact same data set as Table A
Currently I'm combining those two tables (and three others) with a simple join on Employee_ID, which I'm then using as a data source in Tableau to visualize the data.
What I'd like to do with a SQL script is as follows:
Check to see whether an employee in Table A is a manager or not based on the Is_a_Manager column
If they are, find an employee in Table B who is one of their direct reports by matching the employee ID in Table A to the Manager ID in Table B.
Lookup that direct report's department and team in Table A by matching the Employee_ID in Table B to Employee_ID in Table A and displaying the Employee_Department and Employee_Team columns.
Add the direct report's department and team to two new columns in the original manager's Table A row
I'd like the final output in Table A to be something like
Employee_ID, Employee_Department, Employee_Team, Manager_ID, Is_a_Manager? ... Direct_Report_Department, Direct_Report_Team
Also, an important point is that some managers will have employees who are on different teams, so values in the Direct_Report_Department and Direct_Report_Team are not distinct. I only actually need any one employee's Department and Team to display, it doesn't matter which employee's it is.
Finally, I am able to do step 1 fairly easily in Tableau, so if the SQL script could do steps 2-4 and simply return a null value if the employee was not a manager, that would work for me as well.
Any ideas on how to accomplish this would be greatly appreciated. Thank you!
This should work based on the requirement provided. You don’t have to do any of the steps in Tableau and can simply export the output from the SQL as your data source
Select Tb1.Employee_ID, Tb1.Employee_Department, Tb1.Employee_Team, Tb1.Manager_ID, Tb1.Is_a_Manager, Tb3. Direct_Report_Department, Tb3. Direct_Report_Team
from Table_A Tb1
join (Select Manager_id, max(Employee_id) as emp_id from Table_B group by Manager_id) Tb2
on Tb1.Employee_id = Tb2.Manager_id
left join (Select Employee_ID, Employee_Department as Direct_Report_Department, Employee_Team as Direct_Report_Team from Table_A group by Employee_ID, Employee_Department, Employee_Team) Tb3
on Tb2.emp_id = Tb3.Employee_ID
where Tb1.Is_a_Manager = 'Yes';
I have a select query which combined several tables. PRODUCTION_ORDER_RESULTS, PRODUCTION_ORDERS and SERVICE_GUARANTY_NEW have common value however STOCKS table does not.
SELECT PR_ORDERS.ARRIVED_CITY,
PR_ORDERS.MONTAJ_DATE,
PR_ORDER_RESULT.TRANSFER_DATE,
PR_ORDERS.P_ORDER_ID,
PR_ORDER_RESULT.P_ORDER_ID,
SG.SALE_CONSUMER_ID,
SG.IS_SERI_SONU,
S.BRAND_ID,
S.PROPERTY
FROM workcube_test_1.PRODUCTION_ORDER_RESULTS PR_ORDER_RESULT,
workcube_test_1.PRODUCTION_ORDERS PR_ORDERS,
workcube_test_1.SERVICE_GUARANTY_NEW SG,
workcube_test_1.STOCKS S
WHERE PR_ORDER_RESULT.P_ORDER_ID = PR_ORDERS.P_ORDER_ID
AND PR_ORDER_RESULT.PR_ORDER_ID = SG.PROCESS_ID
when I run the query, it shows the output as below.
The problem here is there are four data rows returned from PRODUCTION_ORDER_RESULTS, PRODUCTION_ORDERS, SERVICE_GUARANTY_NEW and once I have added the STOCKS table, arrived_city, montaj_date, transfer_date columns are side by side with STOCKS table's rows, but the columns value should be null, not filled with data.
The way I tried is UNION of STOCKS table, however unioned table values are ignored, can not use them in html blocks.
there needs to be at least one more join condition among tables where there's for STOCKS table, I think there might exist such a column STOCK_ID within a table such as PRODUCTION_ORDER_RESULTS in order to join with STOCKS table. I think this should be the reason for multiple returning rows. If there's no common column, then the returning data will be produced as many as the number of records within STOCK table due to existing CROSS JOIN logic within the current query. So rearrange your query as
SELECT PR_ORDERS.ARRIVED_CITY,
PR_ORDERS.MONTAJ_DATE,
PR_ORDER_RESULT.TRANSFER_DATE,
PR_ORDERS.P_ORDER_ID,
PR_ORDER_RESULT.P_ORDER_ID,
SG.SALE_CONSUMER_ID,
SG.IS_SERI_SONU,
S.BRAND_ID,
S.PROPERTY
FROM workcube_test_1.PRODUCTION_ORDER_RESULTS PR_ORDER_RESULT
JOIN workcube_test_1.PRODUCTION_ORDERS PR_ORDERS
ON PR_ORDER_RESULT.P_ORDER_ID = PR_ORDERS.P_ORDER_ID
JOIN workcube_test_1.SERVICE_GUARANTY_NEW SG
ON PR_ORDER_RESULT.PR_ORDER_ID = SG.PROCESS_ID
JOIN workcube_test_1.STOCKS S
ON PR_ORDER_RESULT.STOCK_ID = S.ID
I have two separate tables in my access database, which both use a third table as the reference for one particular field on each table. The data is entered onto the different tables by separate forms. Then I have several queries that then reference those particular fields that count and show unique values. Those queries show the actual values, then I created an sql query that does the same thing, only it shows the reference ID instead of the value in the actual field.
table ODI----------table CDN----------reference table
id RHA---------id CHA----------------id HA
1 blank----------1 radio---------------1 internet
2 internet-------2 tv------------------2 radio
3 referral-------3 radio---------------3 referral
4 tv-------------4 blank---------------4 repeat customer
5 blank----------5 internet------------5 tv
6 internet-------6 referral------------6 employee
7 referral-------7 referral------------7 social media
this is the code I am trying to make work.
SELECT m.[Marketing Results], Count(*) AS [Count]
FROM (SELECT RHA as [Marketing Results] FROM ODI
UNION ALL
SELECT CHA as [Marketing Results] FROM CDN) AS m
GROUP BY m.[Marketing Results]
HAVING (((m.[Marketing Results]) Is Not Null))
ORDER BY Count(*) DESC;
and what my desired result is,
Marketing Results--Counts
referral------------------4
internet------------------3
radio---------------------2
tv------------------------2
Lookup fields with alias don't show what is actually stored in table. ID is stored, not descriptive alias. Lookup alias will carry into regular queries but Union query only pulls actual stored values. At some point need to include reference table in query by joining on key fields in order to retrieve descriptive alias. Options:
in each UNION query SELECT line, join tables
join UNION query to reference table
join aggregate query to reference table
Most experienced developers will not build lookups in table because of confusion they cause. Also, they are not portable to other database platforms. http://access.mvps.org/Access/lookupfields.htm
I have two tables that I want to join. Table1 has sales order, but it doesn’t have the name of the sales person. It only has employee ID. I have table2, that has the names of employees, and employeeID is common between the two tables. Normally I would use an inner join to get the name of the sales person from table2. The problem is that on table2, there are multiple entries for each employee. If they changed manager, or changed roles within the company, or perhaps went on FMLA, it creates a new row. Therefore, when I join the tables, it creates duplicates because of the multiple entries in table2. A sale shows 3 or 4 times in my results.
Select
a.state_name
,order_number
,a.employeeID
,b.Sales_Rep_Name
,a.order_date
from
table1 as A
Inner join table2 as B
On a.employeeid = b.employeeID
where
b.monthperiod = 'November' <-- If I remove this one it adds duplicates
Is there a way to not get these duplicates? I tried distinct but didn’t work. Probably because the rows have at least one column different. I was able to eliminate the duplicates when I added a where clause asking for last month on table 2, but I am in a situation where I need all months, not just one. I have to manually change the month in order to get the full year.
Any help would be appreciated. Thanks
Use a subquery to get list of distinct employee records and then query the sales table
In my tables I have for example
CountyID,County and CityID in the county table and in the city table I have table I have for example
City ID and City
How do I create a report that pulls the County from the county table and pulls city based upon the cityid in the county table.
Thanks
Since this is quite a basic question, I'll give you a basic answer instead of the code to do it for you.
Where tables have columns that "match" each other, you can join them together on what they have in common, and query the result almost as if it was one table.
There are also different types of join based on what you want - for example it might be that some rows in one of the tables you're joining together don't have a corresponding match.
If you're sure that a city will definitely have a corresponding county, try inner joining the two tables on their matching column CityID and querying the result.
The obvious common link between both tables is CityID, so you'd be joining on that. I think you have the data organized wrong though, I'd put CountryID in the City table rather than CityID in the country table. Then, based on the CountryID selected, you can limit your query of the City table based on that.
To follow in context of Bridge's answer, you are obviously new to SQL and there are many places to dig up how to write them. However, the most fundamental basics you should train yourself with is always apply the table name or alias to prevent ambiguity and try to avoid using column names that might be considered reserved words to the language... they always appear to bite people.
That said, the most basic of queries is
select
T1.field1,
T1.field2,
etc with more fields you want
from
FirstTable as T1
where
(some conditional criteria)
order by
(some column or columns)
Now, when dealing with multiple tables, you need the JOINs... typically INNER or LEFT are most common. Inner means MUST match in both tables. LEFT means must match the table on the left side regardless of a match to the right... ex:
select
T1.Field1,
T2.SomeField,
T3.MaybeExistsField
from
SomeTable T1
Join SecondTable T2
on T1.SomeKey = T2.MatchingColumnInSecondTable
LEFT JOIN ThirdTable T3
on T1.AnotherKey = T3.ColumnThatMayHaveTheMatchingKey
order by
T2.SomeField DESC,
T1.Field1
From these examples, you should easily be able to incorporate your tables and their relationships to each other into your results...