Cross join

Supported in: Batch

Cross joins left and right dataset inputs together, matching all rows from each side against all rows from the other. The output is the cartesian product of the two datasets.

Transform categories: Join

Declared arguments

• Condition for columns to select on the left - All columns in the left input schema will be tested to see if they match this condition. If they match, the column will be selected in the output.
  ColumnPredicate
• Condition for columns to select on the right - All columns in the right input schema will be tested to see if they match this condition. If they match, the column will be selected in the output.
  ColumnPredicate
• Left dataset - Left dataset to use in join.
  Table
• Right dataset - Right dataset to use in join.
  Table
• optional Prefix for columns from right - Prefix to add to all columns on the right hand side.
  Literal<String>

Examples

Example 1: Base case

Argument values:

• Condition for columns to select on the left:
  columnNameIsIn(
   columnNames: [tail_number, airline],
  )
• Condition for columns to select on the right:
  columnNameIsIn(
   columnNames: [home_airport],
  )
• Left dataset: ri.foundry.main.dataset.left
• Right dataset: ri.foundry.main.dataset.right
• Prefix for columns from right: null

Inputs: ri.foundry.main.dataset.left

ri.foundry.main.dataset.right

Output:

---

Example 2: Base case

Argument values:

• Condition for columns to select on the left:
  allColumns(
  
  )
• Condition for columns to select on the right:
  columnNameIsIn(
   columnNames: [home_airport],
  )
• Left dataset: ri.foundry.main.dataset.left
• Right dataset: ri.foundry.main.dataset.right
• Prefix for columns from right: null

Inputs: ri.foundry.main.dataset.left

ri.foundry.main.dataset.right

Output:

---