Following is my Sample data1 Expected Output1 Here column “CP” and “NNP” are hierarchical (i.e.) we will start with query like below, for a particular NP and then get the corresponding MC and DS values using the below logic first look at value A from column CP and then see if column NNP as a corresponding value, here it is
How avoid ambiguousness when joining tables with a where statement?
i have a query such as SELECT * FROM bookings left JOIN answers on bookings.id=answers.booking_id where id=1 since both tables have id and booking_id i am getting : column reference “id”…
Counting events with a specified event.value.string_value in big query
This is a follow up question to this question I have a query: Which returns: I now want to update the query to only count those purchases that have That event is stored like so: I added: Is this the correct way to count only those events that has a specified event_params.value.string_value? I am not sure about the CROSS JOIN
Percentage in SQL Server
I want to find the percentage between two columns and I tried this : select (count(id)* 100.0 /(select count(id) FROM db.table where log = ’40’)) as percentage from db.table; And the result is this: …
How to Join two tables on two separate variables with one variable having the same name
This is what I have so far. I’m trying to join these two tables and if I do not use a using() function, then SQL tells me there is an invalid relational operator just simply using an ON. However using a “using” also throws an error that I did not end it properly. Any help would be nice, thanks. Answer
DAU WAU MAU Error in Redshift: [Amazon](500310) Invalid operation: This type of correlated subquery pattern is not supported due to internal error;
I am trying to compute DAU WAU MAU ratios. DAU: active users on the day WAU: active users of the past 7 days MAU: active users of the past 30 days The DAU:WAU, DAU:MAU, and WAU:MAU ratios compute stickiness of user engagement in terms of %. I have a table called my_table that entails datetime_field user_id This table lists all
How to split data in SQL
I have the following code: Used Table names: WIPtransaction, WIPtransactiontype, Feeearner I want to display two more columns at the end of the output, namely: Invoiced and Uninvoiced. The “Invoicenumber” field in the “WIPtransaction” database will be tested for this. If the “Invoicenumber” is NULL – the transaction amount will be added to a sum in the uninvoiced column and
How to assign the IDs to the referring table and how to display this correctly? (SSMS)
I am in the process of creating an audit plan using ERD, going off the below image you can see that there’s a permissions table with four FK columns referring to the other four tables PK column. I am just confused as to how the IDs will relate to the other tables and how will it show up correctly in
How do I convert this SQL into LINQ?
How Do I convert this sql query: select * from Trades where tradestatus = 1 and tradetype = 1 and maturitydate < GETDATE() and referenceId not in (select referenceid from Trades where tradetype = 2)…
running sum or cumulative frequency using subquery
Below is the output of cumulative frequency according to datewise, which I want to change into the subquery. The output is also correct but I want to do it by using a subquery. OUTPUT Answer You would use window functions: Not only is this simpler to write, but it should be significantly faster — and no CTE or subquery is