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| 1 | +--- |
| 2 | +title: Rank transformation in mapping data flow |
| 3 | +description: Learn how to use a mapping data flow rank transformation to generate a ranking column in Azure Data Factory or Synapse Analytics pipelines. |
| 4 | +titleSuffix: Azure Data Factory & Azure Synapse |
| 5 | +author: kromerm |
| 6 | +ms.author: makromer |
| 7 | +ms.reviewer: makromer |
| 8 | +ms.service: data-factory |
| 9 | +ms.subservice: data-flows |
| 10 | +ms.topic: conceptual |
| 11 | +ms.custom: synapse |
| 12 | +ms.date: 09/09/2021 |
| 13 | +--- |
| 14 | + |
| 15 | +# Rank transformation in mapping data flow |
| 16 | + |
| 17 | +[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)] |
| 18 | + |
| 19 | +[!INCLUDE[data-flow-preamble](includes/data-flow-preamble.md)] |
| 20 | + |
| 21 | +Use the rank transformation to generate an ordered ranking based upon sort conditions specified by the user. |
| 22 | + |
| 23 | +> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE4GGJo] |
| 24 | +
|
| 25 | +## Configuration |
| 26 | + |
| 27 | +:::image type="content" source="media/data-flow/rank-configuration.png" alt-text="Rank settings"::: |
| 28 | + |
| 29 | +**Case insensitive:** If a sort column is of type string, case will be factored into the ranking. |
| 30 | + |
| 31 | +**Dense:** If enabled, the rank column will be dense ranked. Each rank count will be a consecutive number and rank values won't be skipped after a tie. |
| 32 | + |
| 33 | +**Rank column:** The name of the rank column generated. This column will be of type long. |
| 34 | + |
| 35 | +**Sort conditions:** Choose which columns you're sorting by and in which order the sort happens. The order determines sorting priority. |
| 36 | + |
| 37 | +The above configuration takes incoming basketball data and creates a rank column called 'pointsRanking'. The row with the highest value of the column *PTS* will have a *pointsRanking* value of 1. |
| 38 | + |
| 39 | +## Data flow script |
| 40 | + |
| 41 | +### Syntax |
| 42 | + |
| 43 | +``` |
| 44 | +<incomingStream> |
| 45 | + rank( |
| 46 | + desc(<sortColumn1>), |
| 47 | + asc(<sortColumn2>), |
| 48 | + ..., |
| 49 | + caseInsensitive: { true | false } |
| 50 | + dense: { true | false } |
| 51 | + output(<rankColumn> as long) |
| 52 | + ) ~> <sortTransformationName<> |
| 53 | +``` |
| 54 | + |
| 55 | +### Example |
| 56 | + |
| 57 | +:::image type="content" source="media/data-flow/rank-configuration.png" alt-text="Rank settings"::: |
| 58 | + |
| 59 | +The data flow script for the above rank configuration is in the following code snippet. |
| 60 | + |
| 61 | +``` |
| 62 | +PruneColumns |
| 63 | + rank( |
| 64 | + desc(PTS, true), |
| 65 | + caseInsensitive: false, |
| 66 | + output(pointsRanking as long), |
| 67 | + dense: false |
| 68 | + ) ~> RankByPoints |
| 69 | +``` |
| 70 | + |
| 71 | +## Next steps |
| 72 | + |
| 73 | +Filter rows based upon the rank values using the [filter transformation](data-flow-filter.md). |
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