Transformations: Cumulative and window modes for `Add field from calculation` (#77029)

* cumulative sum

* refactor and create new mode

* refactor - use reduceOptions for new mode also

* revert naming

* Add window function, rename statistical to cumulative (#77066)

* Add window function, rename statistical to cumulative

* Fix merge errors

* fix more merge errors

* refactor + add window funcs

Co-authored-by: Oscar Kilhed <oscar.kilhed@grafana.com>

* add ff + tests + centered moving avg

Co-authored-by: Oscar Kilhed <oscar.kilhed@grafana.com>

* make sum and mean cumulative more efficient (#77173)

* make sum and mean cumulative more efficient

* remove cumulative variance, add window stddev

* refactor window to not use reducer for mean. wip variance stdDev

* fix tests after optimization

---------

Co-authored-by: Victor Marin <victor.marin@grafana.com>

* optimize window func (#77266)

* make sum and mean cumulative more efficient

* remove cumulative variance, add window stddev

* refactor window to not use reducer for mean. wip variance stdDev

* fix tests after optimization

* fix test lint

* optimize window

* tests are passing

* fix nulls

* fix all nulls

---------

Co-authored-by: Victor Marin <victor.marin@grafana.com>

* change window size to be percentage

* fix tests to use percentage

* fixed/percentage window size (#77369)

* Add docs for cumulative and window functions of the add field from calculation transform. (#77352)

add docs

* splling

* change WindowType -> WindowAlignment

* update betterer

* refactor getWindowCreator

* add docs to content.ts

* add feature toggle message

---------

Co-authored-by: Oscar Kilhed <oscar.kilhed@grafana.com>

.betterer.results

@@ -5089,7 +5089,12 @@ exports[`better eslint`] = {
       [0, 0, 0, "Styles should be written using objects.", "0"]
     ],
     "public/app/features/transformers/editors/CalculateFieldTransformerEditor.tsx:5381": [
-      [0, 0, 0, "Do not use any type assertions.", "0"]
+      [0, 0, 0, "Do not use any type assertions.", "0"],
+      [0, 0, 0, "Do not use any type assertions.", "1"],
+      [0, 0, 0, "Do not use any type assertions.", "2"],
+      [0, 0, 0, "Do not use any type assertions.", "3"],
+      [0, 0, 0, "Do not use any type assertions.", "4"],
+      [0, 0, 0, "Do not use any type assertions.", "5"]
     ],
     "public/app/features/transformers/editors/ConvertFieldTypeTransformerEditor.tsx:5381": [
       [0, 0, 0, "Do not use any type assertions.", "0"]

docs/sources/panels-visualizations/query-transform-data/transform-data/index.md

@@ -127,6 +127,7 @@ You can perform the following transformations on your data.
 Use this transformation to add a new field calculated from two other fields. Each transformation allows you to add one new field.
 
 - **Mode -** Select a mode:
+
   - **Reduce row -** Apply selected calculation on each row of selected fields independently.
   - **Binary operation -** Apply basic binary operations (for example, sum or multiply) on values in a single row from two selected fields.
   - **Unary operation -** Apply basic unary operations on values in a single row from a selected field. The available operations are:
@@ -135,7 +136,32 @@ Use this transformation to add a new field calculated from two other fields. Eac
     - **Natural logarithm (ln)** - Returns the natural logarithm of a given expression.
     - **Floor (floor)** - Returns the largest integer less than or equal to a given expression.
     - **Ceiling (ceil)** - Returns the smallest integer greater than or equal to a given expression.
+  - **Cumulative functions** - Apply functions on the current row and all preceding rows.
+
+    **Note:** This mode is an experimental feature. Engineering and on-call support is not available.
+    Documentation is either limited or not provided outside of code comments. No SLA is provided.
+    Enable the 'addFieldFromCalculationStatFunctions' in Grafana to use this feature.
+    Contact Grafana Support to enable this feature in Grafana Cloud.
+
+    - **Total** - Calculates the cumulative total up to and including the current row.
+    - **Mean** - Calculates the mean up to and including the current row.
+
+  - **Window functions** - Apply window functions. The window can either be **trailing** or **centered**.
+    With a trailing window the current row will be the last row in the window.
+    With a centered window the window will be centered on the current row.
+    For even window sizes, the window will be centered between the current row, and the previous row.
+
+    **Note:** This mode is an experimental feature. Engineering and on-call support is not available.
+    Documentation is either limited or not provided outside of code comments. No SLA is provided.
+    Enable the 'addFieldFromCalculationStatFunctions' in Grafana to use this feature.
+    Contact Grafana Support to enable this feature in Grafana Cloud.
+
+    - **Mean** - Calculates the moving mean or running average.
+    - **Stddev** - Calculates the moving standard deviation.
+    - **Variance** - Calculates the moving variance.
+
   - **Row index -** Insert a field with the row index.
+
 - **Field name -** Select the names of fields you want to use in the calculation for the new field.
 - **Calculation -** If you select **Reduce row** mode, then the **Calculation** field appears. Click in the field to see a list of calculation choices you can use to create the new field. For information about available calculations, refer to [Calculation types][].
 - **Operation -** If you select **Binary operation** or **Unary operation** mode, then the **Operation** fields appear. These fields allow you to apply basic math operations on values in a single row from selected fields. You can also use numerical values for binary operations.

docs/sources/setup-grafana/configure-grafana/feature-toggles/index.md

@@ -157,6 +157,7 @@ Experimental features might be changed or removed without prior notice.
 | `costManagementUi`                          | Toggles the display of the cost management ui plugin                                                                                                                                                                                                                              |
 | `managedPluginsInstall`                     | Install managed plugins directly from plugins catalog                                                                                                                                                                                                                             |
 | `prometheusPromQAIL`                        | Prometheus and AI/ML to assist users in creating a query                                                                                                                                                                                                                          |
+| `addFieldFromCalculationStatFunctions`      | Add cumulative and window functions to the add field from calculation transformation                                                                                                                                                                                              |
 | `alertmanagerRemoteSecondary`               | Enable Grafana to sync configuration and state with a remote Alertmanager.                                                                                                                                                                                                        |
 | `alertmanagerRemotePrimary`                 | Enable Grafana to have a remote Alertmanager instance as the primary Alertmanager.                                                                                                                                                                                                |
 | `alertmanagerRemoteOnly`                    | Disable the internal Alertmanager and only use the external one defined.                                                                                                                                                                                                          |

packages/grafana-data/src/transformations/transformers/calculateField.test.ts

@@ -7,7 +7,13 @@ import { mockTransformationsRegistry } from '../../utils/tests/mockTransformatio
 import { ReducerID } from '../fieldReducer';
 import { transformDataFrame } from '../transformDataFrame';
 
-import { CalculateFieldMode, calculateFieldTransformer, ReduceOptions } from './calculateField';
+import {
+  CalculateFieldMode,
+  calculateFieldTransformer,
+  ReduceOptions,
+  WindowSizeMode,
+  WindowAlignment,
+} from './calculateField';
 import { DataTransformerID } from './ids';
 
 const seriesA = toDataFrame({
@@ -398,4 +404,492 @@ describe('calculateField transformer w/ timeseries', () => {
       `);
     });
   });
+
+  it('calculates centered moving average on odd window size', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 1,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1.5);
+      expect(data.fields[1].values[1]).toEqual(2);
+      expect(data.fields[1].values[2]).toEqual(2.5);
+    });
+  });
+
+  it('calculates centered moving average on even window size', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 0.5,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1.5);
+      expect(data.fields[1].values[2]).toEqual(2.5);
+    });
+  });
+
+  it('calculates centered moving average when window size larger than dataset', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 5,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(2);
+      expect(data.fields[1].values[1]).toEqual(2);
+      expect(data.fields[1].values[2]).toEqual(2);
+    });
+  });
+
+  it('calculates trailing moving average', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 1,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1.5);
+      expect(data.fields[1].values[2]).toEqual(2);
+    });
+  });
+
+  it('throws error when calculating moving average if window size < 1', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 0,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const err = new Error('Add field from calculation transformation - Window size must be larger than 0');
+      expect(received[0]).toEqual(err);
+    });
+  });
+
+  it('calculates cumulative total', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.CumulativeFunctions,
+        cumulative: {
+          field: 'x',
+          reducer: ReducerID.sum,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(3);
+      expect(data.fields[1].values[2]).toEqual(6);
+    });
+  });
+
+  it('calculates cumulative mean', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.CumulativeFunctions,
+        cumulative: {
+          field: 'x',
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1.5);
+      expect(data.fields[1].values[2]).toEqual(2);
+    });
+  });
+
+  it('calculates cumulative total with nulls', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.CumulativeFunctions,
+        cumulative: {
+          field: 'x',
+          reducer: ReducerID.sum,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, null, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1);
+      expect(data.fields[1].values[2]).toEqual(3);
+      expect(data.fields[1].values[3]).toEqual(6);
+    });
+  });
+
+  it('calculates trailing moving average with nulls', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, null, 2, 7] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1);
+      expect(data.fields[1].values[2]).toEqual(1.5);
+      expect(data.fields[1].values[3]).toEqual(4.5);
+    });
+  });
+
+  it('calculates trailing moving variance', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 1,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.variance,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0);
+      expect(data.fields[1].values[1]).toEqual(0.25);
+      expect(data.fields[1].values[2]).toBeCloseTo(0.6666666, 4);
+    });
+  });
+
+  it('calculates centered moving stddev', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 1,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.stdDev,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0.5);
+      expect(data.fields[1].values[1]).toBeCloseTo(0.8164, 2);
+      expect(data.fields[1].values[2]).toEqual(0.5);
+    });
+  });
+
+  it('calculates centered moving stddev with null', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.stdDev,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, null, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0);
+      expect(data.fields[1].values[1]).toEqual(0.5);
+      expect(data.fields[1].values[2]).toEqual(0.5);
+      expect(data.fields[1].values[3]).toEqual(0.5);
+    });
+  });
+
+  it('calculates centered moving average with nulls', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, null, 2, 7] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1);
+      expect(data.fields[1].values[1]).toEqual(1.5);
+      expect(data.fields[1].values[2]).toEqual(4.5);
+      expect(data.fields[1].values[3]).toEqual(4.5);
+    });
+  });
+
+  it('calculates centered moving average with only nulls', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [null, null, null, null] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0);
+      expect(data.fields[1].values[1]).toEqual(0);
+      expect(data.fields[1].values[2]).toEqual(0);
+      expect(data.fields[1].values[3]).toEqual(0);
+    });
+  });
+
+  it('calculates centered moving average with 4 values', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Centered,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.mean,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, 2, 3, 4] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(1.5);
+      expect(data.fields[1].values[1]).toEqual(2);
+      expect(data.fields[1].values[2]).toEqual(3);
+      expect(data.fields[1].values[3]).toEqual(3.5);
+    });
+  });
+
+  it('calculates trailing moving variance with null in the middle', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.variance,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [1, null, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0);
+      expect(data.fields[1].values[1]).toEqual(0);
+      expect(data.fields[1].values[2]).toEqual(0.25);
+      expect(data.fields[1].values[3]).toEqual(0.25);
+    });
+  });
+
+  it('calculates trailing moving variance with null in position 0', async () => {
+    const cfg = {
+      id: DataTransformerID.calculateField,
+      options: {
+        mode: CalculateFieldMode.WindowFunctions,
+        window: {
+          windowAlignment: WindowAlignment.Trailing,
+          field: 'x',
+          windowSize: 0.75,
+          windowSizeMode: WindowSizeMode.Percentage,
+          reducer: ReducerID.variance,
+        },
+      },
+    };
+
+    const series = toDataFrame({
+      fields: [{ name: 'x', type: FieldType.number, values: [null, 1, 2, 3] }],
+    });
+
+    await expect(transformDataFrame([cfg], [series])).toEmitValuesWith((received) => {
+      const data = received[0][0];
+
+      expect(data.fields.length).toEqual(2);
+      expect(data.fields[1].values[0]).toEqual(0);
+      expect(data.fields[1].values[1]).toEqual(0);
+      expect(data.fields[1].values[2]).toEqual(0.25);
+      expect(data.fields[1].values[3]).toBeCloseTo(0.6666666, 4);
+    });
+  });
 });

packages/grafana-data/src/transformations/transformers/calculateField.ts

@@ -16,17 +16,40 @@ import { noopTransformer } from './noop';
 
 export enum CalculateFieldMode {
   ReduceRow = 'reduceRow',
+  CumulativeFunctions = 'cumulativeFunctions',
+  WindowFunctions = 'windowFunctions',
   BinaryOperation = 'binary',
   UnaryOperation = 'unary',
   Index = 'index',
 }
 
+export enum WindowSizeMode {
+  Percentage = 'percentage',
+  Fixed = 'fixed',
+}
+
+export enum WindowAlignment {
+  Trailing = 'trailing',
+  Centered = 'centered',
+}
+
 export interface ReduceOptions {
   include?: string[]; // Assume all fields
   reducer: ReducerID;
   nullValueMode?: NullValueMode;
 }
 
+export interface CumulativeOptions {
+  field?: string;
+  reducer: ReducerID;
+}
+
+export interface WindowOptions extends CumulativeOptions {
+  windowSize?: number;
+  windowSizeMode?: WindowSizeMode;
+  windowAlignment?: WindowAlignment;
+}
+
 export interface UnaryOptions {
   operator: UnaryOperationID;
   fieldName: string;
@@ -46,6 +69,13 @@ const defaultReduceOptions: ReduceOptions = {
   reducer: ReducerID.sum,
 };
 
+export const defaultWindowOptions: WindowOptions = {
+  reducer: ReducerID.mean,
+  windowAlignment: WindowAlignment.Trailing,
+  windowSizeMode: WindowSizeMode.Percentage,
+  windowSize: 0.1,
+};
+
 const defaultBinaryOptions: BinaryOptions = {
   left: '',
   operator: BinaryOperationID.Add,
@@ -64,6 +94,8 @@ export interface CalculateFieldTransformerOptions {
 
   // Only one should be filled
   reduce?: ReduceOptions;
+  window?: WindowOptions;
+  cumulative?: CumulativeOptions;
   binary?: BinaryOptions;
   unary?: UnaryOptions;
   index?: IndexOptions;
@@ -104,39 +136,49 @@ export const calculateFieldTransformer: DataTransformerInfo<CalculateFieldTransf
         const mode = options.mode ?? CalculateFieldMode.ReduceRow;
         let creator: ValuesCreator | undefined = undefined;
 
-        if (mode === CalculateFieldMode.ReduceRow) {
-          creator = getReduceRowCreator(defaults(options.reduce, defaultReduceOptions), data);
-        } else if (mode === CalculateFieldMode.UnaryOperation) {
-          creator = getUnaryCreator(defaults(options.unary, defaultUnaryOptions), data);
-        } else if (mode === CalculateFieldMode.BinaryOperation) {
-          const binaryOptions = {
-            ...options.binary,
-            left: ctx.interpolate(options.binary?.left!),
-            right: ctx.interpolate(options.binary?.right!),
-          };
+        switch (mode) {
+          case CalculateFieldMode.ReduceRow:
+            creator = getReduceRowCreator(defaults(options.reduce, defaultReduceOptions), data);
+            break;
+          case CalculateFieldMode.CumulativeFunctions:
+            creator = getCumulativeCreator(defaults(options.cumulative, defaultReduceOptions), data);
+            break;
+          case CalculateFieldMode.WindowFunctions:
+            creator = getWindowCreator(defaults(options.window, defaultWindowOptions), data);
+            break;
+          case CalculateFieldMode.UnaryOperation:
+            creator = getUnaryCreator(defaults(options.unary, defaultUnaryOptions), data);
+            break;
+          case CalculateFieldMode.BinaryOperation:
+            const binaryOptions = {
+              ...options.binary,
+              left: ctx.interpolate(options.binary?.left!),
+              right: ctx.interpolate(options.binary?.right!),
+            };
 
-          creator = getBinaryCreator(defaults(binaryOptions, defaultBinaryOptions), data);
-        } else if (mode === CalculateFieldMode.Index) {
-          return data.map((frame) => {
-            const indexArr = [...Array(frame.length).keys()];
+            creator = getBinaryCreator(defaults(binaryOptions, defaultBinaryOptions), data);
+            break;
+          case CalculateFieldMode.Index:
+            return data.map((frame) => {
+              const indexArr = [...Array(frame.length).keys()];
 
-            if (options.index?.asPercentile) {
-              for (let i = 0; i < indexArr.length; i++) {
-                indexArr[i] = indexArr[i] / indexArr.length;
+              if (options.index?.asPercentile) {
+                for (let i = 0; i < indexArr.length; i++) {
+                  indexArr[i] = indexArr[i] / indexArr.length;
+                }
               }
-            }
 
-            const f = {
-              name: options.alias ?? 'Row',
-              type: FieldType.number,
-              values: indexArr,
-              config: options.index?.asPercentile ? { unit: 'percentunit' } : {},
-            };
-            return {
-              ...frame,
-              fields: options.replaceFields ? [f] : [...frame.fields, f],
-            };
-          });
+              const f = {
+                name: options.alias ?? 'Row',
+                type: FieldType.number,
+                values: indexArr,
+                config: options.index?.asPercentile ? { unit: 'percentunit' } : {},
+              };
+              return {
+                ...frame,
+                fields: options.replaceFields ? [f] : [...frame.fields, f],
+              };
+            });
         }
 
         // Nothing configured
@@ -180,6 +222,213 @@ export const calculateFieldTransformer: DataTransformerInfo<CalculateFieldTransf
   },
 };
 
+function getWindowCreator(options: WindowOptions, allFrames: DataFrame[]): ValuesCreator {
+  if (options.windowSize! <= 0) {
+    throw new Error('Add field from calculation transformation - Window size must be larger than 0');
+  }
+
+  let matcher = getFieldMatcher({
+    id: FieldMatcherID.numeric,
+  });
+
+  if (options.field) {
+    matcher = getFieldMatcher({
+      id: FieldMatcherID.byNames,
+      options: {
+        names: [options.field],
+      },
+    });
+  }
+
+  return (frame: DataFrame) => {
+    const window = Math.ceil(
+      options.windowSize! * (options.windowSizeMode === WindowSizeMode.Percentage ? frame.length : 1)
+    );
+
+    // Find the columns that should be examined
+    let selectedField: Field | null = null;
+    for (const field of frame.fields) {
+      if (matcher(field, frame, allFrames)) {
+        selectedField = field;
+        break;
+      }
+    }
+
+    if (!selectedField) {
+      return;
+    }
+
+    if (![ReducerID.mean, ReducerID.stdDev, ReducerID.variance].includes(options.reducer)) {
+      throw new Error(`Add field from calculation transformation - Unsupported reducer: ${options.reducer}`);
+    }
+
+    if (options.windowAlignment === WindowAlignment.Centered) {
+      return getCenteredWindowValues(frame, options.reducer, selectedField, window);
+    } else {
+      return getTrailingWindowValues(frame, options.reducer, selectedField, window);
+    }
+  };
+}
+
+function getTrailingWindowValues(frame: DataFrame, reducer: ReducerID, selectedField: Field, window: number) {
+  const vals: number[] = [];
+  let sum = 0;
+  let count = 0;
+  for (let i = 0; i < frame.length; i++) {
+    if (reducer === ReducerID.mean) {
+      const currentValue = selectedField.values[i];
+      if (currentValue !== null) {
+        count++;
+        sum += currentValue;
+
+        if (i > window - 1) {
+          sum -= selectedField.values[i - window];
+          count--;
+        }
+      }
+      vals.push(count === 0 ? 0 : sum / count);
+    } else if (reducer === ReducerID.variance) {
+      const start = Math.max(0, i - window + 1);
+      const end = i + 1;
+      vals.push(calculateVariance(selectedField.values.slice(start, end)));
+    } else if (reducer === ReducerID.stdDev) {
+      const start = Math.max(0, i - window + 1);
+      const end = i + 1;
+      vals.push(calculateStdDev(selectedField.values.slice(start, end)));
+    }
+  }
+  return vals;
+}
+
+function getCenteredWindowValues(frame: DataFrame, reducer: ReducerID, selectedField: Field, window: number) {
+  const vals: number[] = [];
+  let sum = 0;
+  let count = 0;
+  // Current value (i) is included in the leading part of the window. Which means if the window size is odd,
+  // the leading part of the window will be larger than the trailing part.
+  const leadingPartOfWindow = Math.ceil(window / 2) - 1;
+  const trailingPartOfWindow = Math.floor(window / 2);
+  for (let i = 0; i < frame.length; i++) {
+    const first = i - trailingPartOfWindow;
+    const last = i + leadingPartOfWindow;
+    if (reducer === ReducerID.mean) {
+      if (i === 0) {
+        // We're at the start and need to prime the leading part of the window
+        for (let x = 0; x < leadingPartOfWindow + 1 && x < selectedField.values.length; x++) {
+          if (selectedField.values[x] !== null) {
+            sum += selectedField.values[x];
+            count++;
+          }
+        }
+      } else {
+        if (last < selectedField.values.length) {
+          // Last is inside the data and should be added.
+          if (selectedField.values[last] !== null) {
+            sum += selectedField.values[last];
+            count++;
+          }
+        }
+        if (first > 0) {
+          // Remove values that have fallen outside of the window, if the start of the window isn't outside of the data.
+          if (selectedField.values[first - 1] !== null) {
+            sum -= selectedField.values[first - 1];
+            count--;
+          }
+        }
+      }
+      vals.push(count === 0 ? 0 : sum / count);
+    } else if (reducer === ReducerID.variance) {
+      const windowVals = selectedField.values.slice(
+        Math.max(0, first),
+        Math.min(last + 1, selectedField.values.length)
+      );
+      vals.push(calculateVariance(windowVals));
+    } else if (reducer === ReducerID.stdDev) {
+      const windowVals = selectedField.values.slice(
+        Math.max(0, first),
+        Math.min(last + 1, selectedField.values.length)
+      );
+      vals.push(calculateStdDev(windowVals));
+    }
+  }
+  return vals;
+}
+
+function calculateVariance(vals: number[]): number {
+  if (vals.length < 1) {
+    return 0;
+  }
+  let squareSum = 0;
+  let runningMean = 0;
+  let nonNullCount = 0;
+  for (let i = 0; i < vals.length; i++) {
+    const currentValue = vals[i];
+    if (currentValue !== null) {
+      nonNullCount++;
+      let _oldMean = runningMean;
+      runningMean += (currentValue - _oldMean) / nonNullCount;
+      squareSum += (currentValue - _oldMean) * (currentValue - runningMean);
+    }
+  }
+  if (nonNullCount === 0) {
+    return 0;
+  }
+  const variance = squareSum / nonNullCount;
+  return variance;
+}
+
+function calculateStdDev(vals: number[]): number {
+  return Math.sqrt(calculateVariance(vals));
+}
+
+function getCumulativeCreator(options: CumulativeOptions, allFrames: DataFrame[]): ValuesCreator {
+  let matcher = getFieldMatcher({
+    id: FieldMatcherID.numeric,
+  });
+
+  if (options.field) {
+    matcher = getFieldMatcher({
+      id: FieldMatcherID.byNames,
+      options: {
+        names: [options.field],
+      },
+    });
+  }
+
+  if (![ReducerID.mean, ReducerID.sum].includes(options.reducer)) {
+    throw new Error(`Add field from calculation transformation - Unsupported reducer: ${options.reducer}`);
+  }
+
+  return (frame: DataFrame) => {
+    // Find the columns that should be examined
+    let selectedField: Field | null = null;
+    for (const field of frame.fields) {
+      if (matcher(field, frame, allFrames)) {
+        selectedField = field;
+        break;
+      }
+    }
+
+    if (!selectedField) {
+      return;
+    }
+
+    const vals: number[] = [];
+
+    let total = 0;
+    for (let i = 0; i < frame.length; i++) {
+      total += selectedField.values[i];
+      if (options.reducer === ReducerID.sum) {
+        vals.push(total);
+      } else if (options.reducer === ReducerID.mean) {
+        vals.push(total / (i + 1));
+      }
+    }
+
+    return vals;
+  };
+}
+
 function getReduceRowCreator(options: ReduceOptions, allFrames: DataFrame[]): ValuesCreator {
   let matcher = getFieldMatcher({
     id: FieldMatcherID.numeric,
@@ -227,6 +476,7 @@ function getReduceRowCreator(options: ReduceOptions, allFrames: DataFrame[]): Va
       for (let j = 0; j < size; j++) {
         row.values[j] = columns[j][i];
       }
+
       vals.push(reducer(row, ignoreNulls, nullAsZero)[options.reducer]);
     }
 
@@ -309,6 +559,16 @@ export function getNameFromOptions(options: CalculateFieldTransformerOptions) {
   }
 
   switch (options.mode) {
+    case CalculateFieldMode.CumulativeFunctions: {
+      const { cumulative } = options;
+      return `cumulative ${cumulative?.reducer ?? ''}${cumulative?.field ? `(${cumulative.field})` : ''}`;
+    }
+    case CalculateFieldMode.WindowFunctions: {
+      const { window } = options;
+      return `${window?.windowAlignment ?? ''} moving ${window?.reducer ?? ''}${
+        window?.field ? `(${window.field})` : ''
+      }`;
+    }
     case CalculateFieldMode.UnaryOperation: {
       const { unary } = options;
       return `${unary?.operator ?? ''}${unary?.fieldName ? `(${unary.fieldName})` : ''}`;

packages/grafana-data/src/types/featureToggles.gen.ts

@@ -151,6 +151,7 @@ export interface FeatureToggles {
   costManagementUi?: boolean;
   managedPluginsInstall?: boolean;
   prometheusPromQAIL?: boolean;
+  addFieldFromCalculationStatFunctions?: boolean;
   alertmanagerRemoteSecondary?: boolean;
   alertmanagerRemotePrimary?: boolean;
   alertmanagerRemoteOnly?: boolean;

pkg/services/featuremgmt/registry.go

@@ -935,6 +935,13 @@ var (
 			FrontendOnly: true,
 			Owner:        grafanaObservabilityMetricsSquad,
 		},
+		{
+			Name:         "addFieldFromCalculationStatFunctions",
+			Description:  "Add cumulative and window functions to the add field from calculation transformation",
+			Stage:        FeatureStageExperimental,
+			FrontendOnly: true,
+			Owner:        grafanaBiSquad,
+		},
 		{
 			Name:        "alertmanagerRemoteSecondary",
 			Description: "Enable Grafana to sync configuration and state with a remote Alertmanager.",

pkg/services/featuremgmt/toggles_gen.csv

@@ -132,6 +132,7 @@ pluginsInstrumentationStatusSource,experimental,@grafana/plugins-platform-backen
 costManagementUi,experimental,@grafana/databases-frontend,false,false,false,false
 managedPluginsInstall,experimental,@grafana/plugins-platform-backend,false,false,false,false
 prometheusPromQAIL,experimental,@grafana/observability-metrics,false,false,false,true
+addFieldFromCalculationStatFunctions,experimental,@grafana/grafana-bi-squad,false,false,false,true
 alertmanagerRemoteSecondary,experimental,@grafana/alerting-squad,false,false,false,false
 alertmanagerRemotePrimary,experimental,@grafana/alerting-squad,false,false,false,false
 alertmanagerRemoteOnly,experimental,@grafana/alerting-squad,false,false,false,false

pkg/services/featuremgmt/toggles_gen.go

@@ -539,6 +539,10 @@ const (
 	// Prometheus and AI/ML to assist users in creating a query
 	FlagPrometheusPromQAIL = "prometheusPromQAIL"
 
+	// FlagAddFieldFromCalculationStatFunctions
+	// Add cumulative and window functions to the add field from calculation transformation
+	FlagAddFieldFromCalculationStatFunctions = "addFieldFromCalculationStatFunctions"
+
 	// FlagAlertmanagerRemoteSecondary
 	// Enable Grafana to sync configuration and state with a remote Alertmanager.
 	FlagAlertmanagerRemoteSecondary = "alertmanagerRemoteSecondary"

public/app/features/transformers/docs/content.ts

@@ -50,6 +50,26 @@ export const transformationDocsContent: TransformationDocsContentType = {
       - **Natural logarithm (ln)** - Returns the natural logarithm of a given expression.
       - **Floor (floor)** - Returns the largest integer less than or equal to a given expression.
       - **Ceiling (ceil)** - Returns the smallest integer greater than or equal to a given expression.
+    - **Cumulative functions** - Apply functions on the current row and all preceding rows.
+      
+      **Note:** This mode is an experimental feature. Engineering and on-call support is not available.
+      Documentation is either limited or not provided outside of code comments. No SLA is provided.
+      Enable the 'addFieldFromCalculationStatFunctions' in Grafana to use this feature.
+      Contact Grafana Support to enable this feature in Grafana Cloud.
+      - **Total** - Calculates the cumulative total up to and including the current row.
+      - **Mean** - Calculates the mean up to and including the current row.
+    - **Window functions** - Apply window functions. The window can either be **trailing** or **centered**.
+      With a trailing window the current row will be the last row in the window. 
+      With a centered window the window will be centered on the current row. 
+      For even window sizes, the window will be centered between the current row, and the previous row. 
+      
+      **Note:** This mode is an experimental feature. Engineering and on-call support is not available. 
+      Documentation is either limited or not provided outside of code comments. No SLA is provided. 
+      Enable the 'addFieldFromCalculationStatFunctions' in Grafana to use this feature. 
+      Contact Grafana Support to enable this feature in Grafana Cloud.
+      - **Mean** - Calculates the moving mean or running average.
+      - **Stddev** - Calculates the moving standard deviation.
+      - **Variance** - Calculates the moving variance.
     - **Row index -** Insert a field with the row index.
   - **Field name -** Select the names of fields you want to use in the calculation for the new field.
   - **Calculation -** If you select **Reduce row** mode, then the **Calculation** field appears. Click in the field to see a list of calculation choices you can use to create the new field. For information about available calculations, refer to [Calculation types][].

public/app/features/transformers/editors/CalculateFieldTransformerEditor.tsx

@@ -24,10 +24,15 @@ import {
   BinaryOptions,
   UnaryOptions,
   CalculateFieldMode,
+  WindowAlignment,
   CalculateFieldTransformerOptions,
   getNameFromOptions,
   IndexOptions,
   ReduceOptions,
+  CumulativeOptions,
+  WindowOptions,
+  WindowSizeMode,
+  defaultWindowOptions,
 } from '@grafana/data/src/transformations/transformers/calculateField';
 import { getTemplateSrv, config as cfg } from '@grafana/runtime';
 import {
@@ -38,9 +43,11 @@ import {
   InlineLabel,
   InlineSwitch,
   Input,
+  RadioButtonGroup,
   Select,
   StatsPicker,
 } from '@grafana/ui';
+import { NumberInput } from 'app/core/components/OptionsUI/NumberInput';
 
 interface CalculateFieldTransformerEditorProps extends TransformerUIProps<CalculateFieldTransformerOptions> {}
 
@@ -57,6 +64,13 @@ const calculationModes = [
   { value: CalculateFieldMode.Index, label: 'Row index' },
 ];
 
+if (cfg.featureToggles.addFieldFromCalculationStatFunctions) {
+  calculationModes.push(
+    { value: CalculateFieldMode.CumulativeFunctions, label: 'Cumulative functions' },
+    { value: CalculateFieldMode.WindowFunctions, label: 'Window functions' }
+  );
+}
+
 const okTypes = new Set<FieldType>([FieldType.time, FieldType.number, FieldType.string]);
 
 const labelWidth = 16;
@@ -188,6 +202,9 @@ export class CalculateFieldTransformerEditor extends React.PureComponent<
   onModeChanged = (value: SelectableValue<CalculateFieldMode>) => {
     const { options, onChange } = this.props;
     const mode = value.value ?? CalculateFieldMode.BinaryOperation;
+    if (mode === CalculateFieldMode.WindowFunctions) {
+      options.window = options.window ?? defaultWindowOptions;
+    }
     onChange({
       ...options,
       mode,
@@ -203,14 +220,13 @@ export class CalculateFieldTransformerEditor extends React.PureComponent<
   };
 
   //---------------------------------------------------------
-  // Reduce by Row
+  // Cumulative functions
   //---------------------------------------------------------
 
   updateReduceOptions = (v: ReduceOptions) => {
     const { options, onChange } = this.props;
     onChange({
       ...options,
-      mode: CalculateFieldMode.ReduceRow,
       reduce: v,
     });
   };
@@ -250,6 +266,149 @@ export class CalculateFieldTransformerEditor extends React.PureComponent<
     );
   }
 
+  //---------------------------------------------------------
+  // Window functions
+  //---------------------------------------------------------
+
+  updateWindowOptions = (v: WindowOptions) => {
+    const { options, onChange } = this.props;
+    onChange({
+      ...options,
+      mode: CalculateFieldMode.WindowFunctions,
+      window: v,
+    });
+  };
+
+  onWindowFieldChange = (v: SelectableValue<string>) => {
+    const { window } = this.props.options;
+    this.updateWindowOptions({
+      ...window!,
+      field: v.value!,
+    });
+  };
+
+  onWindowSizeChange = (v?: number) => {
+    const { window } = this.props.options;
+    this.updateWindowOptions({
+      ...window!,
+      windowSize: v && window?.windowSizeMode === WindowSizeMode.Percentage ? v / 100 : v,
+    });
+  };
+
+  onWindowSizeModeChange = (val: string) => {
+    const { window } = this.props.options;
+    const mode = val as WindowSizeMode;
+    this.updateWindowOptions({
+      ...window!,
+      windowSize: window?.windowSize
+        ? mode === WindowSizeMode.Percentage
+          ? window!.windowSize! / 100
+          : window!.windowSize! * 100
+        : undefined,
+      windowSizeMode: mode,
+    });
+  };
+
+  onWindowStatsChange = (stats: string[]) => {
+    const reducer = stats.length ? (stats[0] as ReducerID) : ReducerID.sum;
+
+    const { window } = this.props.options;
+    this.updateWindowOptions({ ...window, reducer });
+  };
+
+  onTypeChange = (val: string) => {
+    const { window } = this.props.options;
+    this.updateWindowOptions({
+      ...window!,
+      windowAlignment: val as WindowAlignment,
+    });
+  };
+
+  renderWindowFunctions(options?: WindowOptions) {
+    const { names } = this.state;
+    options = defaults(options, { reducer: ReducerID.sum });
+    const selectOptions = names.map((v) => ({ label: v, value: v }));
+    const typeOptions = [
+      { label: 'Trailing', value: WindowAlignment.Trailing },
+      { label: 'Centered', value: WindowAlignment.Centered },
+    ];
+    const windowSizeModeOptions = [
+      { label: 'Percentage', value: WindowSizeMode.Percentage },
+      { label: 'Fixed', value: WindowSizeMode.Fixed },
+    ];
+
+    return (
+      <>
+        <InlineField label="Field" labelWidth={labelWidth}>
+          <Select
+            placeholder="Field"
+            options={selectOptions}
+            className="min-width-18"
+            value={options?.field}
+            onChange={this.onWindowFieldChange}
+          />
+        </InlineField>
+        <InlineField label="Calculation" labelWidth={labelWidth}>
+          <StatsPicker
+            allowMultiple={false}
+            className="width-18"
+            stats={[options.reducer]}
+            onChange={this.onWindowStatsChange}
+            defaultStat={ReducerID.mean}
+            filterOptions={(ext) =>
+              ext.id === ReducerID.mean || ext.id === ReducerID.variance || ext.id === ReducerID.stdDev
+            }
+          />
+        </InlineField>
+        <InlineField label="Type" labelWidth={labelWidth}>
+          <RadioButtonGroup
+            value={options.windowAlignment ?? WindowAlignment.Trailing}
+            options={typeOptions}
+            onChange={this.onTypeChange}
+          />
+        </InlineField>
+        <InlineField label="Window size mode">
+          <RadioButtonGroup
+            value={options.windowSizeMode ?? WindowSizeMode.Percentage}
+            options={windowSizeModeOptions}
+            onChange={this.onWindowSizeModeChange}
+          ></RadioButtonGroup>
+        </InlineField>
+        <InlineField
+          label={options.windowSizeMode === WindowSizeMode.Percentage ? 'Window size %' : 'Window size'}
+          labelWidth={labelWidth}
+          tooltip={
+            options.windowSizeMode === WindowSizeMode.Percentage
+              ? 'Set the window size as a percentage of the total data'
+              : 'Window size'
+          }
+        >
+          <NumberInput
+            placeholder="Auto"
+            min={0.1}
+            value={
+              options.windowSize && options.windowSizeMode === WindowSizeMode.Percentage
+                ? options.windowSize * 100
+                : options.windowSize
+            }
+            onChange={this.onWindowSizeChange}
+          ></NumberInput>
+        </InlineField>
+      </>
+    );
+  }
+
+  //---------------------------------------------------------
+  // Reduce by Row
+  //---------------------------------------------------------
+
+  onReducerStatsChange = (stats: string[]) => {
+    const reducer = stats.length ? (stats[0] as ReducerID) : ReducerID.sum;
+
+    const { reduce } = this.props.options;
+    this.updateReduceOptions({ ...reduce, reducer });
+  };
+
   renderReduceRow(options?: ReduceOptions) {
     const { names, selected } = this.state;
     options = defaults(options, { reducer: ReducerID.sum });
@@ -285,6 +444,64 @@ export class CalculateFieldTransformerEditor extends React.PureComponent<
     );
   }
 
+  //---------------------------------------------------------
+  // Cumulative Operator
+  //---------------------------------------------------------
+
+  onCumulativeStatsChange = (stats: string[]) => {
+    const reducer = stats.length ? (stats[0] as ReducerID) : ReducerID.sum;
+
+    const { reduce } = this.props.options;
+    this.updateCumulativeOptions({ ...reduce, reducer });
+  };
+
+  updateCumulativeOptions = (v: CumulativeOptions) => {
+    const { options, onChange } = this.props;
+    onChange({
+      ...options,
+      mode: CalculateFieldMode.CumulativeFunctions,
+      cumulative: v,
+    });
+  };
+
+  onCumulativeFieldChange = (v: SelectableValue<string>) => {
+    const { cumulative } = this.props.options;
+    this.updateCumulativeOptions({
+      ...cumulative!,
+      field: v.value!,
+    });
+  };
+
+  renderCumulativeFunctions(options?: CumulativeOptions) {
+    const { names } = this.state;
+    options = defaults(options, { reducer: ReducerID.sum });
+    const selectOptions = names.map((v) => ({ label: v, value: v }));
+
+    return (
+      <>
+        <InlineField label="Field" labelWidth={labelWidth}>
+          <Select
+            placeholder="Field"
+            options={selectOptions}
+            className="min-width-18"
+            value={options?.field}
+            onChange={this.onCumulativeFieldChange}
+          />
+        </InlineField>
+        <InlineField label="Calculation" labelWidth={labelWidth}>
+          <StatsPicker
+            allowMultiple={false}
+            className="width-18"
+            stats={[options.reducer]}
+            onChange={this.onCumulativeStatsChange}
+            defaultStat={ReducerID.sum}
+            filterOptions={(ext) => ext.id === ReducerID.sum || ext.id === ReducerID.mean}
+          />
+        </InlineField>
+      </>
+    );
+  }
+
   //---------------------------------------------------------
   // Binary Operator
   //---------------------------------------------------------
@@ -468,6 +685,8 @@ export class CalculateFieldTransformerEditor extends React.PureComponent<
         {mode === CalculateFieldMode.BinaryOperation && this.renderBinaryOperation(options.binary)}
         {mode === CalculateFieldMode.UnaryOperation && this.renderUnaryOperation(options.unary)}
         {mode === CalculateFieldMode.ReduceRow && this.renderReduceRow(options.reduce)}
+        {mode === CalculateFieldMode.CumulativeFunctions && this.renderCumulativeFunctions(options.cumulative)}
+        {mode === CalculateFieldMode.WindowFunctions && this.renderWindowFunctions(options.window)}
         {mode === CalculateFieldMode.Index && this.renderRowIndex(options.index)}
         <InlineField labelWidth={labelWidth} label="Alias">
           <Input