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Combining Data Across Multiple Data Fields

I am trying to create a common data field based on multiple columns below. When I try to use nvl i am getting blank values in the common field and its not getting picked up..The input and output tables are below: Input table model-manufacture model -CAM MODEL -schedule CX190 NM890 NM890 JK1231 LO121 LO121 VB1231 OPE12 ope12 jk7812 Output table

Only return rows where Status Online is the only status is applicable (perhaps a coalesce function or qualify function)

ID Status Date 1 Online 2022-06-31 1 Offline 2022-07-28 2 Online 2022-08-01 3 Online 2022-07-03 3 Stationary 2022-07-05 4 Offline 2022-05-02 5 Online 2022-04-04 5 Online 2022-04-06 The output I’m looking for in SQL/BigQuery ID Status Date 2 Online 2022-08-01 5 Online 2022-04-04 5 Online 2022-04-06 So what SQL query I would want to return is the rows for ID

How to get data for administrative weeks of a month?

What I want to do is to get the data of each “administrative” week (Monday to Sunday), that is if a month starts a Wednesday,the next week when I would launch the query, I would want the data from Wednesday, Thursday, Friday, Saturday, Sunday of the past week. This would get me data of week 1, and so forth for

Insert only specific columns with DBT

As of now, I have an INSERT INTO clause, that works like this: The final_table has 4 columns: ID (incremental/serial), name, age and created_at. The person_table has only name, age, and created_at. When I translate it to the dbt logic, it looks like this: However, dbt keeps compiling as an INSERT CLAUSE containing the ID (that it is auto-generated). Does

how can i optimize this mysql statement, it is very slow

Answer This query is slow because it is actually 16 x 3 = 48 queries. You have 16 SELECT correlated subqueries in your main SELECT query, and you’re looking up three values of p._id. Your first step is to transform at least some of those subqueries into independent subqueries and JOIN them. (This is a vital skill for people who

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