{{::translate("PIVOT_RECIPE.PIVOT.EXAMPLES", "Examples")}}
Create columns with
  • {{keyColumn}}
  • Choose at least one column
  • values times
    No value
Row identifiers
Σ
Populate content with
  • Recipe status failed, list cannot be computed
  • Nothing selected, output will be a single row
  • {{identifier}}
  • Choose at least one aggregation
  • Count of records
  • Column
    {{valueColumn.column}} {{valueColumn.type | columnTypeToName}}
    Aggregation
    Ordered by
    {{::translate("PIVOT_RECIPE.PIVOT.AGGREGATIONS.SEPARATED_BY", "Separated by")}}  
    {{::translate("PIVOT_RECIPE.PIVOT.AGGREGATIONS.DISTINCT_", "Distinct")}}  
Database error: {{InfoMessagesUtils.getMessageAtLine(recipeStatus.preFilter, 1).message}}

{{::translate("PIVOT_RECIPE.OTHER_COLUMNS.OTHER_COLUMNS", "Other columns")}} Pick the columns whose values you want to keep alongside the pivoted columns, and how to aggregate them

ACTIONS
    • Enable/disable aggregations
{{selection.selectedObjects.length}} / {{selection.allObjects.length}}

Select Aggregations to be computed for each field

{{column.type | columnTypeToName}}
options

{{::translate("PIVOT_RECIPE.OUTPUT.OUTPUT_COLUMN_NAMES", "Output column names")}} (may change at each run)

Warning if label columns have changed in your dataset, your schema may be out of date. Additionally, the modalities were computed on a different engine, so the handling of null vs. blank can be different.
If not, truncation will depend on engine (128 for Hive/Impala) or on output dataset database (for SQL datasets)

Schema will be computed at runtime

Schema could not be inferred
(no previous run with the current parameters computed the modalities)