Aggregate on condition

Supported in: Batch

Aggregate expressions based on a condition statement.

Transform categories: Aggregate, Popular

Declared arguments

• Condition for columns to aggregate on: All columns in the input schema will be tested to see if they match this condition. If they match, the given expressions will be applied to them.
  ColumnPredicate
• Dataset: Dataset to apply operations to.
  Table
• Expressions to aggregate: The aggregate expression to apply once per each column that matches condition.
  List<Expression<AnyType>>
• optional Group by columns: List of columns to group the dataset by when aggregating. If empty, no group by is applied.
  List<Column<AnyType>>

Examples

Example 1: Edge case

Description: Count non null rows for all columns. Argument values:

• Condition for columns to aggregate on:
  allColumns(
  
  )
• Dataset: ri.foundry.main.dataset.a
• Expressions to aggregate: [
  dynamicAlias(
   expression:
  rowCount(
   expression: column,
  ),
   transformer:
  columnNameConcat(
   inputs: [column, _non_null],
  ),
  )]
• Group by columns: null

Input:

Output:

---

Example 2: Edge case

Description: Count non null and mean of integer columns. Argument values:

• Condition for columns to aggregate on:
  columnHasType(
   type: Integer,
  )
• Dataset: ri.foundry.main.dataset.a
• Expressions to aggregate: [
  dynamicAlias(
   expression:
  rowCount(
   expression: column,
  ),
   transformer:
  columnNameConcat(
   inputs: [column, _non_null],
  ),
  ),
  dynamicAlias(
   expression:
  mean(
   expression: column,
  ),
   transformer:
  columnNameConcat(
   inputs: [column, _mean],
  ),
  )]
• Group by columns: null

Input:

Output:

---

Example 3: Edge case

Argument values:

• Condition for columns to aggregate on:
  columnHasType(
   type: Integer,
  )
• Dataset: ri.foundry.main.dataset.a
• Expressions to aggregate: [
  dynamicAlias(
   expression:
  mean(
   expression: column,
  ),
   transformer:
  columnNameConcat(
   inputs: [column, _mean],
  ),
  )]
• Group by columns: [id]

Input:

Output:

---

Example 4: Edge case

Description: Mean of all integer columns. Argument values:

• Condition for columns to aggregate on:
  columnHasType(
   type: Integer,
  )
• Dataset: ri.foundry.main.dataset.a
• Expressions to aggregate: [
  dynamicAlias(
   expression:
  mean(
   expression: column,
  ),
   transformer:
  columnNameConcat(
   inputs: [column, _mean],
  ),
  )]
• Group by columns: null

Input:

Output:

---