I would like to combine two columns(both from different table) into one column.
As shown below, both are expiry date and I would like them to be combined. Either one column will be present. If one is present, the other will not be present. But at times, both will not be present at the same time. I have looked at concat in sql but it is used to combine.
Need some guidance on this.
If you are using SQL Server can update the blanks in Expiry column as NULLs then you can do this
ISNULL(Expiry,Expiration_date)
Check if the first exists then take it else take the second one: like below:
select if(Expiry!='',Expiry, Expiration_date) as expiry from table
Related
I've 250+ columns in customer table. As per my process, there should be only one row per customer however I've found few customers who are having more than one entry in the table
After running distinct on entire table for that customer it still returns two rows for me. I suspect one of column may be suffixed with space / junk from source tables resulting two rows of same information.
select distinct * from ( select * from customer_table where custoemr = '123' ) a;
Above query returns two rows. If you see with naked eye to results there is not difference in any of column.
I can identify which column is causing duplicates if I run query every time for each column with distinct but thinking that would be very manual task for 250+ columns.
This sounds like very dumb question but kind of stuck here. Please suggest if you have any better way to identify this, thank you.
Solving this one-time issue with sql is too much effort. Simply copy-paste to excel, transpose data into columns and use some simple function like "if a==b then 1 else 0".
I can't find the hql to solve my problem.
I have 2 nice tables.
The first table has a column with strings in the form 'xxx-xxx-xxx'.
The second table has a column with strings in the form 'some_prefix:xxx-xxx-xxx'.
What I want to do is given a subset of rows in the second table, find all the entries in the first table that match in the 'xxx-xxx-xxx' part. And I know for sure there cannot be more that one entry in the fist table for each row in the second.
I'm looking for a hql query that fetches those objects but I could use a sql too.
Cheers.
you can use a combination of locate and substring function on column of the second table to get the string after the : sign.
I haven't tested it but it should be something like:
where table1.column = substring(table2.column, locate(table2.column, ':'))
We are Getting inputs from two different tables and passing it to the Filter rows.
But we are getting the below error.
The DATE_ADDED Table has only one column DATE_ADDED and similarly the TODAYS_DATE Table has a single column TODAYS_DATE .
The condition given in the Filter is DATE_ADDED < TODAYS_DATE .
The transaformation is
Can someone tell, where I am doing the mistake
It won't work like this. You expect a join of two streams (like SQL JOIN of two tables) but actually you will have a union (like SQL UNION).
When two streams are intersected on a step they must have identical columns - names, order and types - and the result will be the union of both streams with the same structure as origins.
When you intersect streams with different structures - different column names in your case - you will have unpredictable column names and actually only one column - nothing to compare with.
To do what you need use the Merge Join step (do not forget to sort streams on the joining key)
Both the column names and types should be identical if you wanna merge the columns in single step, right click on both steps and click output fields to verify the datatypes.
if datatype issues arrives OR you want to rename the columns, you can place select step(for each table steps) after table steps and select the DATE Type(in your case)in the Meta-data tab, and rename the fields as well.
Hope this helps... :)
I am using PyODBC to fetch some data, since I am not fetching all data in my table, I need to write a query which grabs only rows which have associated columns. For example my initial query is:
SELECT SRNumber FROM SO_SC_1 WHERE SRNumber LIKE '%1-%'
This returns the SRNumber values that I want.
Next I want to return the associated last edited user with this SRNumber. This column is named last_edited_user. What is the proper syntax to incorporate multiple queries into one for this scenario? Basically I would like to use the initial query and grab all associated data for each SRNumber.
You query all needed columns using their comma separated names
SELECT SRNumber, last_edited_user
FROM SO_SC_1
WHERE SRNumber LIKE '%1-%'
I would like to write a SQL Server query which should get the difference between two dates (i.e. dates are available in two columns named "Start date" and "End date"). I would like to find the difference between two dates in these two different columns and update in another column as "Expired" if the difference is -1 or below. Most importantly: The time should start from the specified start date and it should check periodically.
To find the differential between two date values you use the DATEDIFF() function.
Also, depending on your requirements, you can set this up in your table as a Computed Column. That way any changes to the component columns in the computed column's definition will automatically update the computed column to reflect the new values.
With the PERSISTED keyword you can also allow the computed column to be indexed on.
Check the documentation here for more details: https://technet.microsoft.com/en-us/library/ms191250%28v=sql.105%29.aspx
This is based on what I think you are trying to do, it's not exactly clear.
I don't think you want to add a column to your table to identify what is expired because that column would be dependant on the "End Date" column as well as the primary key which would violate the 3rd normal form. It really shouldn't be needed because you can query out which ones are expired at any time. I can't really think of a scenario where you would need to have a column that indicates expiry. You can create a query like others mentioned to display (not create) another column that marks the expired rows, or you can simply display only the ones expired, or it might make more sense to move them to a different table.
SET IDENTITY_INSERT ExpiredTableName ON
INSERT INTO ExpiredTableName (Column1, Column2, StartDate, EndDate)
SELECT *
FROM TableName
WHERE DATEDIFF(day, InvoiceDate, '2015-04-20') >0
Identity Insert is for auto-generated keys only.
You can run your queries at regular time intervals like was already mentioned.
You can use DATEDIFF and case when like this:
update table set expColumn = case when DATEDIFF(day,start_date,end_date) > 0
then 'Expired' end FROM table
Hope this helps.