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  Getting Started



  Row Models




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Data Update

Data can up updated inside the grid using the grid's API.

The grid also allows updating data in the following other ways which are explained in other sections of the documentation:

  1. Using the grids in-line editing feature, eg double clicking on a cell and editing the value.
  2. Updating the data directly in your application - which the grid is not aware of the changes and you need to tell the grid to refresh the view.

This section of the documentation is regarding using the grid's API to update data. The grid will then be aware of the change and also update the relevant parts of the UI.

If you are using an immutable data store, as is usual in a React application, then you will be interested in the section below Bulk Method 3 - Delta Row Data.

Updating RowNodes Data

You can set the data onto a rowNode directly using the rowNodes API methods:

  • rowNode.setData(data): Replaces the data on the rowNode. When complete, the grid will refresh the the entire rendered row if it is showing.
  • rowNode.setDataValue(colKey, value): Replaces the data on the rowNode for the specified column. When complete, the grid will refresh the rendered cell on the required row only.

Updating via the rowNode methods is supported in all row models.

Updating data via the rowNode methods will refresh the grid for the required rows if they are showing, however it will not update the grids sorting, filtering or grouping if the new data impacts such. For that, you should use an update transaction as explained below.

Updating data using rowNode.setData() and rowNode.setDataValue() do not update the sorting, filtering or grouping. Using an update transaction (explained below) does update the sorting, filtering and grouping.

If you are using In Memory Row Model and you want to get the grid to update it's sort or filter etc after the update is done, then you must call api.refreshInMemoryRowModel(step) where step can be one of the following: group, filter, map, aggregate, sort, pivot.

The In Memory Row Model has stages as follows:
  • Group ⇒ Filter ⇒ Pivot ⇒ Aggregate ⇒ Sort ⇒ Map
That means, if you call api.refreshInMemoryRowModel('filter'), it will also execute pivot, aggregate, sort and map.

Updating RowNodes Data Example

The example below demonstrates the following:

  • Set Price on Toyota: The price value is updated on the Toyota row and the grid refreshes the cell.
  • Set Data on Ford: The entire data is set on the Ford row and the grid refreshes the entire row.
  • Sort: Re-runs the sort in the In Memory Row Model - to see this in action, sort the data first, then edit the data so the sort is broken, then hit this button to fix the sort.
  • Filter: Re-runs the filter in the In Memory Row Model - to see this in action, filter the data first, then edit the data so the filter is broken (ie a row is present that should not be present), then hit this button to fix the filter.

Bulk Updating

If you want to update more than one row at a time, then you have the following options:

Method 1 - Transaction

The first method is to pass a transaction object to the grid containing rows to add, remove and update. This is done using api.updateData(transaction). The grid keeps all active sorting, grouping and filtering, including updating to reflect the changes in the data should the sorting, grouping or filtering be impacted.

Updating using transactions is the best way to do large updates to the grid, as the grid treats them as delta changes, so the grid only refreshes what is needed giving a performance boost. All row and range selection will be kept.

Method 2 - Row Data (Normal)

The next way is to replace all the row data in the grid be calling api.setRowData(newData) or by binding new data to the rowData property (if using a framework such as Angular or React that allow data binding). This is the default method. The grid will discard all previous data and create the rowNodes again from scratch. All row and range selection will be lost.

Use this method if you are effectively loading brand new data into the grid, eg loading a new report with a completely different data set to the previous. This makes sure nothing is lying around from the old dataset.

Method 3 - Delta Row Data

The final method is using the row data method above but having the property deltaRowDataMode=true.

When deltaRowDataMode is on, the grid will compare the new row data with the current row data and create a transaction object for you. The grid then executes the change as an update transaction, keeping all of the grids selections, filters etc.

Use this if you want to manage the data outside of the grid (eg in a Redux store) and then let the grid work out what changes are needed to keep the grid's version of the data up to date.

Bulk Method 1 - Transaction

The api.updateData(transaction) method takes a transaction as a paramter. The transaction has the following interface:

// interface for transaction for updating data
interface RowDataTransaction {

    // rows to add
    add?: any[];
    // index for rows to add
    addIndex?: number,

    // rows to remove
    remove?: any[];

    // rows to update
    update?: any[];

Adding Rows

The grid will create one new row for each item in the transaction.add array.

The index to add is put in for historical purposes and should not be used. If you want the grid to display in a certain order, you should apply a grid sort and have the row data sorted.

Removing Rows

The grid will remove one row for each item in the transaction.remove array.

If you are providing rowNode ID's (via the getRowNodeId() callback) then the grid will match the rows based on ID. If you are not using ID's, then the grid will match the rows based on object reference.

Updating Rows

The grid will update one row for each item in the transaction.remove array. Behind the scenes, the grid will call rowNode.setRowData(newData).

Similar to removing, the grid will use node ID's if you are providing your own ID's, otherwise it will use object reference to identify rows.

For adding and removing rows using a transaction, the grid will match rows based on ID's if you are providing your own rowNode ID's. Otherwise it will use object references.

Supported Row Models

The In Memory Row Model fully supports the api.updateData() call. The Infinite Row Model supports 'add' only (see the infinite docs for examples). The Viewport Row Model and Enterprise Row Model do not support transaction updates.

Example - Updating with Transaction

The example below demonstrates the following:

  • Add Row: Adds a row to the end of the list.
  • Insert Row @ 2: Inserts a row at position 2 in the list. This works in the grid as it doesn't allow sorting, filtering or grouping (all of these would impact the order).
  • Update First 5: Updates the price on the first 5 items in the list (add some items first so you have at least 5).
  • Remove Selected: Removes all the selected rows from the list.
  • Get Row Data: Prints all row data in the grid to the console.
  • Clear Data: Sets the data in the grid to an empty list.
  • Add Items: Adds three items.

Example - Updating with Transaction and Groups

When using transactions and grouping, the groups are kept intact as you add, remove and update rows. The example below demonstrates the following:

  • Add For Sale: Adds a new item to 'For Sale' group.
  • Add In Workshop: Adds a new item to 'In Workshop' group.
  • Remove Selected: Removes all selected items.
  • Move to For Sale: Move selected items to 'For Sale' group.
  • Move to In Workshop: Move selected items to 'In Workshop' group.
  • Move to Sold: Move selected items to 'Sold' group.
  • Get Row Data: Prints all row data to the console.

Things to try with the below example include:

  • Move rows between groups, see how the grid animates the rows to the new location with minimal DOM updates.
  • Order by 'Created' and then add rows - notice how the new rows are always added to the top as they are ordered 'latest first'

Bulk Method 2 - Row Data (Normal)

This is the simplest of the update methods. When you call api.setRowData(newData), the grid discards all previous selections and filters, and completely overwrites the old data with the new. This was the first way the grid worked and is the most 'brute force' way.

Use this method if you want to load the grid with a brand new set of data.

The method api.setRowData() works with the In Memory Row Model only. All of the other row models use a data source and hence it doesn't make sense.

Bulk Method 3 - Delta Row Data

If you turn on deltaRowDataMode (set the property deltaRowDataMode=true), then when you call api.setRowData(rowData) the grid will work out which items are to be added, removed and updated.

The deltaRowDataMode is designed to allow ag-Grid work with immutable stores such as Redux. In an immutable store, a new list of rowData is created if any row within it is added, removed or updated. If using React and Redux, consider setting deltaRowDataMode=true and bind your Redux managed data to the rowData property.

You can also use this technique in a non-Redux or immutable store based application (which is the case in the examples on this page). As long as you understand what is happening, if it fits your applications needs, then use it.

For the deltaRowDataMode to work, you must be providing ID's for the row nodes by implementing the getRowNodeId() callback.

The grid works out the delta changes with the following rules:

  • IF the ID for the new item doesn't have a corresponding item already in the grid THEN it's an 'add'.
  • IF the ID for the new item does have a corresponding item in the grid THEN compare the object references. If the object references are different, it's an update, otherwise it's nothing (excluded from the transaction).
  • IF there are items in the grid for which there are no corresponding items in the new data, THEN it's a 'remove'.

Example - Immutable Store

The example below shows the immutable store in action. The example keeps a store of data locally. Each time the user does an update, the local store is replaced with a new store with the next data, and then api.setRowData(store) is called. This results in the grid making delta changes because we have set deltaRowDataMode=true.

If using React and Redux, simply map the store to the rowData property instead of calling api.setRowData().

The example demonstrates the following:

  • Add Five Items: Adds five items to the list.
  • Remove Selected: Removes the selected items. Try selecting multiple rows (ctrl + click for multiple, or shift + click for range) and remove multiple rows at the same time. Notice how the remaining rows animate to new positions.
  • Update Prices: Updates all the prices. Try ordering by price and notice the order change as the prices change. Also try highlighting a range on prices and see the aggregations appear in the status panel. As you update the prices, the aggregation values recalculate.
  • Turn Grouping On / Off: To turn grouping by symbol on and off.
  • Group Selected A / B / C: With grouping on, hit the buttons A, B and C to move selected items to that group. Notice how the rows animate to the new position.

Example - Immutable Store - Updates via Feed

Finally, lets go bananas with delta updates. Below is a simplistic trading hierarchy with over 11,000 rows with aggregations turned on. It has the following features:

  • Update Using Transaction: Updates a small bunch of rows by creating a transaction with some rows to add, remove and update.
  • Update Using Delta updates: Same impact as the above, except it uses the delta updates with the grid. Thus it demonstrates both methods working side by side.
  • Start Feed: Starts a feed whereby a transaction of data is processed every couple of seconds. This is intended to demonstrate a large grid with aggregations taking delta updates over the feed. The grids aggregations are updated on the fly to keep the summary values up to date.

This example is best viewed in a new tab. It demonstrates a combination of features working together. In particular you should notice the grid is managing a very large set of data, applying delta updates to the data and only updating the UI where the updates have an impact (as opposed to recalculating everything from scratch when new values come in an requiring a full grid refresh). This gives a fast smooth user experience.

You should also notice that all row selections, range selections, filters, sorting etc work even though the grid data is constantly updating.