@ -359,11 +359,9 @@ The result after applying the inner join transformation looks like the following
#### Outer join
An outer join includes all data from an inner join and rows where values do not match in every input.
An outer join includes all data from an inner join and rows where values do not match in every input. While the inner join joins Query A and Query B on the time field, the outer join includes all rows that don’t match on the time field.
Use this transformation to combine the results from multiple queries (combining on a passed join field or the first time column) into one result, and drop rows where a successful join cannot occur - performing an inner join.
In the following example, two queries return table data. It is visualized as two tables before applying the inner join transformation.
In the following example, two queries return table data. It is visualized as two tables before applying the outer join transformation.
Query A:
@ -381,10 +379,12 @@ Query B:
| 2020-07-07 11:24:20 | server 2 | 5 |
| 2020-07-07 11:04:20 | server 3 | 10 |
The result after applying the inner join transformation looks like the following:
The result after applying the outer join transformation looks like the following: