Skip to content
Advertisement

Tag: outer-join

Missing rows in full outer join

I am trying to count how many users are observed on each of the 3 consecutive days. Each of the 3 intermediate tables (t0, t1, t2) has 2 columns: uid (unique ID) and d0 (or d1 or d2, which is 1 and indicates that the user is observed on that day). The following query: produces this output from spark.sql(q).toPandas().set_index([“d0″,”d1″,”d2”]): Two

How to remove duplicate rows from a join query in oracle? [closed]

Closed. This question needs debugging details. It is not currently accepting answers. Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question. Closed 2 years ago. Improve this question I have two tables bc_transactions & bc_messages. I used the below query to

SQL Select from multiple tables and count third

I want to count number of rows in table that is referenced by two fields of other tables. I’ve the following structure Result that I want to achieve The statement that I’ve tried, but getting error at right join What I’m missing? Answer You are quite close. Main problems with your query: you are mixing implicit and explicit joins: just