I have the below Model structure class Transaction belongs_to :company belongs_to :user end class Company belongs_to :address end class User belongs_to :address end classAddress has_many :companies has_many :users end I want to query all transactions and get both company address…
I am doing curl request and getting response: { "data": [ { "id": "run-12345", "message": "some message", "created-by": "me", "attributes": { "is-cancelable": false, "is-confirmable": false, "is-discardable": false, "is-force-cancelable": false }, "relationships": { "configuration-version": { "data": { "id": "cv-23198", "type": "configuration-version"…
Edited to clarify and simplify I have the following query select Signups.user_id, Count(timeoutTable.user_id) as timeoutCount, Count(confirmedTable.user_id) as confirmedCount from Signups left join ( select * from Confirmations where action = 'timeout' ) as timeoutTable on signups.user_id = timeoutTable.user_id left join…
my table schema looks this way: create table table_with_arrays ( dim_col_code_array integer[] -- contains foreign keys to dict_table.array_code dim_col_val_array varchar[] -- needs to be populated with dict_table.array_value ); create table dict_table( array_code integer, array_value varchar ) there is the field…
I'm trying to think what the most efficient way to do this is, hopefully you can help. I have two tables, one is for Customer Call data (customer calls in to a customer service number), the other is invoice data.…
I'm trying to update a table by using join. Also one of the join is self join. I need to update a column with the same column in the same table. SERVICE ID code value 123 QUANTITY1 2 123 QUANTITY2…
I want to select elements that are not present in the database, but exist in a postgres array. To visualize: Assume that I have this data in my table: I have come close after some research, but I do not…
The database schema below represents a fictional shows database called hbtn_0d_tvshows tables. tv_shows id title tv_genres id name tv_show_genres id show_id genre_id The tv_show_genres is a pivot table that links tv_shows and tv_genres tables. Now I have been given a…
I have this query I'm running in MySQL: SELECT count(*) FROM library AS l JOIN plays AS p ON p.user_id = l.user_id AND l.path = p.path WHERE l.user_id = 20977 AND p.time >= '2022-10-17'; When EXPLAIN ANALYZE is run: |…
I want to combine two tables in a data flow of Azure Data Factory. So I tried to join the tables using the 'Date' column as join condition: I would suspect the output of this join only has 1 'Date'…