1. Home
  2. Other Releases
  3. On-premises 5.2
  4. Guides
  5. Tours
  6. Concepts
    1. Aggregate filter
    2. Alias
    3. Apache Avro™
    4. Apache Kafka™
    5. Applied filter
    6. Base table
    7. Bookmark
    8. Business schema
    9. Business schema view
    10. Business schema view column
    11. Business schema view formula column
    12. Column
    13. Connector
    14. Dashboard filter
    15. Dashboard folder
    16. Dashboard runtime filter
    17. Data agent
    18. Data alert
    19. Data destination
    20. Date system variable
    21. Distinct filter
    22. Expression
    23. External data source
    24. External session variable
    25. Filter expression
    26. Filter expression session variable
    27. Filter option
    28. Formula column
    29. Formula expression
    30. Full load
    31. Global Variable
    32. Incorta Analyzer Table
    33. Incorta Analyzer Table column
    34. Incorta Analyzer Table formula column
    35. Incorta Analyzer View
    36. Incorta Analyzer View formula column
    37. Incorta SQL Table
    38. Incorta SQL View
    39. Individual filter
    40. Insight filter
    41. Internal query expression
    42. Internal session variable
    43. Join
    44. Join condition
    45. Join condition column
    46. Join filter
    47. Join filter column
    48. Level based measure
    49. Load filter
    50. Local data file
    51. Local data folder
    52. Materialized View
    53. Materialized View Column
    54. Materialized View Formula Column
    55. Measure filter
    56. Miscellaneous system variable
    57. Multi-Source table
    58. Physical schema
    59. Physical schema table
    60. Physical schema table column
    61. Physical schema table formula column
    62. Physical schema table runtime security filter
    63. Presentation variable
    64. Prompt
    65. Query system variable
    66. Runtime business view
    67. Runtime business view formula column
    68. Runtime security filter
    69. Session variable
    70. Shared Storage
    71. SQL Interface
    72. Upgrade Readiness
    73. Variable
    74. Visualization
  7. Tools
  8. References
  9. Integrations
  10. Data applications
  11. Releases

Concepts → Distinct Filter

About a distinct filter

You can use a distinct filter to show only unique values. In terms of SQL, the distinct filter is synonymous with the SELECT DISTINCT statement.

A common use case for a distinct filter would be an insight that shows a distinct product from a transaction table. Without the filter, the table shows more than 9 million rows. With a distinct filter, the table shows 266 rows. Critically, the distinct filter will not aggregate data. In the prior example only each unique product will be listed. The distinct filter will not, for example, aggregate the revenue from each unit of that product.

When you use a distinct filter the use case should not rely on the values of related columns. The distinct filter is designed to efficiently provide the distinct values in a desired column, without consideration to the order of values in related columns.

Distinct filter properties

The following are the properties of a distinct filter, accessible by clicking the pill once added to the Distinct Filter tray:

PropertyDescription
Column LabelChange the label of the filter pill in the Analyzer

Create a distinct filter

You can only create a distinct filter within the Analyzer. A distinct filter can be used with a key, dimension, or measure column from a physical schema table or business schema view. You cannot use the Add Formula feature of the Analyzer as a distinct filter.

Important: Incorta Analyzer View

When a measure and/or dimension pills are columns or formula columns from an Incorta Analyzer View, all filterable columns must be from the Incorta Analyzer View. Similarly, if the measures and/or dimensions pills are not columns or formula columns from an Incorta Analyzer View, all filterable columns must not be from an Incorta Analyzer View.

Applicable visualizations

The following are the visualizations that can be used with a distinct filter:

Important

In both a listing table and aggregated table, you cannot use a distinct filter when utilizing the grouping dimension.

The following are the steps to create a distinct filter in the Analyzer:

  • In the Analyzer, from the Data panel select Manage Dataset.
  • Select the desired tables and views to add to the Analyzer.
  • From the insight panel, select a visualization (Listing or Aggregated Table).
  • Drag and drop the desired columns from the Data panel to the Measures tray.
  • Drag and drop a column to the Distinct Filters tray.