I have these 6 tables and query which returns everything I want, but I want to add a new pivot table, so I can get a list of rows linked to it. Query: SELECT DI
I am attempting to join two tables to create a visualization that shows the relationship between weight, BMI, and total steps using the following code: SELECT
I want to export some data from the DB. Basically what I want to say is this: 1- Select mbr_name from the members table 2- Choose the ones that exist at the cou
Suppose we have these two tables. TABLE1: |column_1 | ... | -------------------- | 'a' | ... | | 'b' | ... | | 'c' | ... | |
I connot able to filter the current user record. I want to display the data of current user only. But I did not understand how to handl query. here is the ss of
I have a table that gives me data every month and I need that range of time. I noticed that sometimes I don't have data for 3/4 month but I need to duplicate th
I have a table that gives me data every month and I need that range of time. I noticed that sometimes I don't have data for 3/4 month but I need to duplicate th
In AWS Athena, I am trying to join two tables in the db using the date, but one of the tables (table2) is not clean, and contains values that are not dates, as
I have two Kinesis streams and I would like to create a third stream that is the intersection of these two streams. My goal is to have a stream processor respon
I have a table that looks like this: name val 1 1 2 2 3 1 4 2 5 2 6 10 For each row,
I need to do 'pandas non equi join', when first table joined with second table in range. first_table EMPLOYEE_ID SALARY 100 3000.00 101 17000.00 102
I have two tables, categories and movies. In movies table I have a column categories. That column consists of the categories that movie fits in. The categories
I have two tables exchange_rate (100 Thousand Rows) and paid_date_t (9 million rows) with below structure. "exchange_rate"
SELECT d.millid, d.bookno, d.partyname, d.count, d.counttype, d.orderqty, d.dispqty, d.pending from ( SELECT b.millid, b.count, b.counttype, b.bookno,
I am writing a query to be used as databases view, it looks now like this: SELECT contact.*, contact_users.names AS user_names, contact_status.status_
The Rails 5 command rails g migration create_foo_bar_join_table generates the following migration: class CreateFooBarJoinTable < ActiveRecord::Migration[5.0]
I have table A id1 dt x1 2022-04-10 a2 2022-04-10 a1 2022-04-10 x1 2022-05-10 x2 2022-04-10 y2 2022-04-10 y1 2022-05-10 x1 2022-06 -10 Table B id1 dt a1 2022
I have two sets of data that have a column mean_wage in common, but they are described differently. First one as 1 (wage), 2, 2.4 ... and the other one as 1256.
So I am very new to pyspark but I am still unable to correctly create my own query. I try googling my problems but I just don't understand how most of this work
I have two config tables. The structure is as below: Table 1: Client_Config id, name, value, type, description Table 2: App_Config name, value, type, descript