I have a table with a column holding the schema (key, type) of a JSON object, and another table with a column holding instances of objects described by that sch
Here is sample data I am looking for total buying trade value and total selling trades value based on country. Here are two tables, country, and trades Table [c
Each dataset looks something like this: df1 season win FO 2019 0.586 0.512 There are 5 of those datasets, and I want to merge/join all of them, by all three v
Here are two datasets: (this is fake data) library(tidyverse) myfruit <- tibble(fruit_name = c("apple", "pear", "banana", "cherry"), number
Consider a table where rows may be linked to each other. We need to select the rows that meet a certain requirement, OR where its linked row meets that requirem
I have 1 main table and 3 tables for ordering the fields in the main table. I return all these tables as lists. The main table structure is like this: Color Ma
The table tbl has a column xml_data of type XMLTYPE. Consider the following XML: <root> <element> <id>1</id> <data>abc&l
I have 2 tables: table "person" with columns: person_id, person_name table "pet" with columns: pet_id, owner_id, pet_name person data: 1, 'John' 2, 'Jill' 3,
I am doing manual join and I need to pass a parameter to its ON clause: Foo.joins("LEFT OUTER JOIN bars ON foos.id = bars.foo_id AND bars.baz = #{baz}") Is t
I am doing manual join and I need to pass a parameter to its ON clause: Foo.joins("LEFT OUTER JOIN bars ON foos.id = bars.foo_id AND bars.baz = #{baz}") Is t
I am doing manual join and I need to pass a parameter to its ON clause: Foo.joins("LEFT OUTER JOIN bars ON foos.id = bars.foo_id AND bars.baz = #{baz}") Is t