Description
TheJOIN statement combines two or more tables based ON a specified column(s). It functions as a standard JOIN in SQL while offering the added capability of combining data from multiple data sources, allowing users to join data from one or more data sources seamlessly.
Syntax
Here is the syntax:datasource1, datasource2, and datasource3 - allowing users to execute federated queries accross multiple data sources.
Nested
JOINsMindsDB provides you with two categories of JOINs. One is the JOIN statement which combines the data table with the model table in order to fetch bulk predictions. Another is the regular JOIN used throughout SQL, which requires the ON clause.You can nest these types of JOINs as follows:Example 1
Let’s use the following data to see how the different types ofJOINs work.
The pets table that stores pets:
owners table that stores pets’ owners:
JOIN or INNER JOIN
The JOIN or INNER JOIN command joins the rows of the owners and pets tables wherever there is a match. For example, a pet named Lake does not have an owner, so it’ll be left out.
WHERE clause to filter the output data.
LEFT JOIN
The LEFT JOIN command joins the rows of two tables such that all rows from the left table, even the ones with no match, show up. Here, the left table is the owners table.
RIGHT JOIN
The RIGHT JOIN command joins the rows of two tables such that all rows from the right table, even the ones with no match, show up. Here, the right table is the pets table.
FULL JOIN or FULL OUTER JOIN
The FULL [OUTER] JOIN command joins the rows of two tables such that all rows from both tables, even the ones with no match, show up.
Example 2
More than two tables can be joined subsequently. Let’s use another table calledanimals: