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title Migrating to TanStack Table v9 (Angular)

What's New in TanStack Table v9

TanStack Table v9 is a major release that introduces significant architectural improvements while maintaining the core table logic you're familiar with. Here are the key changes:

1. Tree-shaking

  • Features are tree-shakeable: Features are now treated as plugins: import only what you use. If your table only needs sorting, you won't ship filtering, pagination, or other feature code. Bundlers can eliminate unused code, so for smaller tables you can expect a meaningfully smaller bundle compared to v8. This also lets TanStack Table add features over time without bloating everyone's bundles.
  • Row models and their functions are refactored: Row model factories (createFilteredRowModel, createSortedRowModel, etc.) now accept their processing functions (filterFns, sortFns, aggregationFns) as parameters. This enables tree-shaking of the functions themselves: if you use a custom filter, you don't pay for built-in filters you never use.

2. State Management

  • Uses TanStack Store: The internal state system has been rebuilt on TanStack Store, providing a reactive, framework-agnostic foundation.
  • Opt-in subscriptions instead of memo hacks: In Angular, table atoms are backed by signals. Use computed(...) when you want selector-style derivation or custom equality, and keep reads scoped to the state you actually need.

3. Composability

  • tableOptions: New utilities let you compose and share table configurations. Define features, rowModels, and default options once, then reuse them across tables or pass them through createTableHook.
  • createTableHook (optional, advanced): Create reusable, strongly typed Angular table factories with pre-bound features, row models, default options, and component registries.

The Good News: Most Upgrades Are Opt-in

While v9 is a significant upgrade, you don't have to adopt everything at once:

  • Don't want to think about tree-shaking yet? You can start with stockFeatures to include most commonly used features.
  • Your table markup is largely unchanged. How you render <table>, <thead>, <tr>, <td>, etc. remains the same.

The main change is how you define a table with the Angular adapter, specifically the new features and rowModels options.

Core Breaking Changes

Entrypoint Change

The Angular adapter entrypoint to create a table instance is injectTable:

// v8
import { createAngularTable } from '@tanstack/angular-table'

const v8Table = createAngularTable(() => ({
  // options
}))

// v9
import { injectTable } from '@tanstack/angular-table'

const v9Table = injectTable(() => ({
  // options
}))

Note: injectTable evaluates your initializer whenever any Angular signal read inside of it changes. Keep expensive/static values (like columns, features, and rowModels) as stable references outside the initializer.

New Required Options: features and rowModels

In v9, you must explicitly declare which features and row models your table uses:

// v8
import { createAngularTable, getCoreRowModel } from '@tanstack/angular-table'

const v8Table = createAngularTable(() => ({
  columns,
  data: data(),
  getCoreRowModel: getCoreRowModel(),
}))

// v9
import {
  injectTable,
  tableFeatures,
} from '@tanstack/angular-table'

const features = tableFeatures({}) // Empty = core features only

// Define stable references outside the initializer
const v9Table = injectTable(() => ({
  features,
  rowModels: {}, // Core row model is automatic
  columns: this.columns,
  data: this.data(),
}))

The features Option

Features control what table functionality is available. In v8, all features were bundled. In v9, you import only what you need.

Importing Individual Features

import {
  tableFeatures,
  // Import only the features you need
  columnFilteringFeature,
  rowSortingFeature,
  rowPaginationFeature,
  columnVisibilityFeature,
  rowSelectionFeature,
} from '@tanstack/angular-table'

// Create a features object (define this outside your injectTable initializer for stable reference)
const features = tableFeatures({
  columnFilteringFeature,
  rowSortingFeature,
  rowPaginationFeature,
  columnVisibilityFeature,
  rowSelectionFeature,
})

Using stockFeatures for v8-like Behavior

If you want all features without thinking about it (like v8), import stockFeatures:

import { injectTable, stockFeatures } from '@tanstack/angular-table'

class TableCmp {
  readonly table = injectTable(() => ({
    features: stockFeatures, // All features included
    rowModels: { /* ... */ },
    columns: this.columns,
    data: this.data(),
  }))
}

Available Features

Feature Import Name
Column Filtering columnFilteringFeature
Global Filtering globalFilteringFeature
Row Sorting rowSortingFeature
Row Pagination rowPaginationFeature
Row Selection rowSelectionFeature
Row Expanding rowExpandingFeature
Row Pinning rowPinningFeature
Column Pinning columnPinningFeature
Column Visibility columnVisibilityFeature
Column Ordering columnOrderingFeature
Column Sizing columnSizingFeature
Column Resizing columnResizingFeature
Column Grouping columnGroupingFeature
Column Faceting columnFacetingFeature

The rowModels Option

Row models are the functions that process your data (filtering, sorting, pagination, etc.). In v9, they're configured via rowModels instead of get*RowModel options.

Migration Mapping

v8 Option v9 rowModels Key v9 Factory Function
getCoreRowModel() (automatic) Not needed, always included
getFilteredRowModel() filteredRowModel createFilteredRowModel(filterFns)
getSortedRowModel() sortedRowModel createSortedRowModel(sortFns)
getPaginationRowModel() paginatedRowModel createPaginatedRowModel()
getExpandedRowModel() expandedRowModel createExpandedRowModel()
getGroupedRowModel() groupedRowModel createGroupedRowModel(aggregationFns)
getFacetedRowModel() facetedRowModel createFacetedRowModel()
getFacetedMinMaxValues() facetedMinMaxValues createFacetedMinMaxValues()
getFacetedUniqueValues() facetedUniqueValues createFacetedUniqueValues()

Key Change: Row Model Functions Now Accept Parameters

Several row model factories now accept their processing functions as parameters. This enables better tree-shaking and explicit configuration:

import {
  injectTable,
  createFilteredRowModel,
  createSortedRowModel,
  createGroupedRowModel,
  createPaginatedRowModel,
  filterFns, // Built-in filter functions
  sortFns, // Built-in sort functions
  aggregationFns, // Built-in aggregation functions
} from '@tanstack/angular-table'

class TableCmp {
  readonly table = injectTable(() => ({
    features,
    rowModels: {
      filteredRowModel: createFilteredRowModel(filterFns),
      sortedRowModel: createSortedRowModel(sortFns),
      groupedRowModel: createGroupedRowModel(aggregationFns),
      paginatedRowModel: createPaginatedRowModel(),
    },
    columns: this.columns,
    data: this.data(),
  }))
}

Full Migration Example

// v8
import {
  injectTable,
  getCoreRowModel,
  getFilteredRowModel,
  getSortedRowModel,
  getPaginationRowModel,
  filterFns,
  sortingFns,
} from '@tanstack/angular-table'

const v8Table = createAngularTable(() => ({
  columns,
  data: data(),
  getCoreRowModel: getCoreRowModel(), // used to be called "get*RowModel()"
  getFilteredRowModel: getFilteredRowModel(),
  getSortedRowModel: getSortedRowModel(),
  getPaginationRowModel: getPaginationRowModel(),
  filterFns, // used to be passed in as a root option
  sortingFns,
}))

// v9
import {
  injectTable,
  tableFeatures,
  columnFilteringFeature,
  rowSortingFeature,
  rowPaginationFeature,
  createFilteredRowModel,
  createSortedRowModel,
  createPaginatedRowModel,
  filterFns,
  sortFns,
} from '@tanstack/angular-table'

const features = tableFeatures({
  columnFilteringFeature,
  rowSortingFeature,
  rowPaginationFeature,
})

const v9Table = injectTable(() => ({
  features,
  rowModels: {
    filteredRowModel: createFilteredRowModel(filterFns),
    sortedRowModel: createSortedRowModel(sortFns),
    paginatedRowModel: createPaginatedRowModel(),
  },
  columns,
  data: data(),
}))

State Management Changes

Accessing State

In v8, you accessed state via table.getState(). In v9, read the specific state slice from table.atoms.<slice>.get() where possible. Use table.store.get() when you need the full flat state shape, such as debug JSON.

// v8
const state = table.getState()
const v8 = table.getState()
const { sorting, pagination } = v8

// v9 - per-slice reads, preferred for Angular render code
const sorting = table.atoms.sorting.get()
const pagination = table.atoms.pagination.get()

// v9 - full-state flat snapshot
const fullState = table.store.get()
const v9 = table.store.get()
const { sorting: v9Sorting, pagination: v9Pagination } = v9

Optimizing Reads with Angular Signals

In Angular, you have a few good options for consuming table state.

Option 1: Read table atoms directly

The Angular adapter backs table atoms with Angular signals. Read the atom you care about directly in templates, effects, or computed values.

import { computed, effect } from '@angular/core'
import { shallow } from '@tanstack/angular-table'

class TableCmp {
  readonly table = injectTable(() => ({
    features,
    rowModels: { /* ... */ },
    columns: this.columns,
    data: this.data(),
  }))

  // Use computed when deriving from a slice or applying equality.
  private readonly pagination = computed(
    () => this.table.atoms.pagination.get(),
    { equal: shallow },
  )

  constructor() {
    effect(() => {
      const { pageIndex, pageSize } = this.pagination()
      console.log('Page', pageIndex, 'Size', pageSize)
    })
  }
}

Option 2: Use computed(...) for selected object slices

Use Angular computed(...) when you want selector-style behavior, a derived value, or an equality function. For object/array slices, use shallow from @tanstack/angular-table to avoid unnecessary downstream work when the slice is recreated with the same values.

import { computed, effect } from '@angular/core'
import { shallow } from '@tanstack/angular-table'

class TableCmp {
  readonly table = injectTable(() => ({
    features,
    rowModels: { /* ... */ },
    columns: this.columns,
    data: this.data(),
  }))

  // Provide an equality function for object slices
  readonly pagination = computed(
    () => this.table.atoms.pagination.get(),
    { equal: shallow },
  )

  constructor() {
    effect(() => {
      // This effect only re-runs when pagination changes
      const { pageIndex, pageSize } = this.pagination()
      console.log('Page', pageIndex, 'Size', pageSize)
    })
  }
}

Controlled State

The v8-style state + on[State]Change controlled state patterns still work and remain convenient for simple integrations. For new v9 code, prefer owning state slices with external atoms via the new atoms table option (created with createAtom from @tanstack/angular-store), which give you fine-grained subscriptions without mirroring state through Angular signals. See the External Atoms section of the Table State Guide and the Basic External Atoms example.

import { signal } from '@angular/core'
import type { SortingState, PaginationState } from '@tanstack/angular-table'

class TableCmp {
  readonly sorting = signal<SortingState>([])
  readonly pagination = signal<PaginationState>({ pageIndex: 0, pageSize: 10 })

  readonly table = injectTable(() => ({
    features,
    rowModels: { /* ... */ },
    columns: this.columns,
    data: this.data(),
    state: {
      sorting: this.sorting(),
      pagination: this.pagination(),
    },
    onSortingChange: (updater) => {
      updater instanceof Function
        ? this.sorting.update(updater)
        : this.sorting.set(updater)
    },
    onPaginationChange: (updater) => {
      updater instanceof Function
        ? this.pagination.update(updater)
        : this.pagination.set(updater)
    },
  }))
}

Column Helper Changes

The createColumnHelper function now requires a TFeatures type parameter in addition to TData:

// v8
import { createColumnHelper } from '@tanstack/angular-table'

const columnHelperV8 = createColumnHelper<Person>()

// v9
import { createColumnHelper, tableFeatures, rowSortingFeature } from '@tanstack/angular-table'

const features = tableFeatures({ rowSortingFeature })
const columnHelperV9 = createColumnHelper<typeof features, Person>()

New columns() Helper Method

v9 adds a columns() helper for better type inference when wrapping column arrays.

const columnHelper = createColumnHelper<typeof features, Person>()

// Wrap your columns array for better type inference
const columns = columnHelper.columns([
  columnHelper.accessor('firstName', {
    header: 'First Name',
    cell: (info) => info.getValue(),
  }),
  columnHelper.accessor('lastName', {
    id: 'lastName',
    header: () => 'Last Name',
    cell: (info) => info.getValue(),
  }),
  columnHelper.display({
    id: 'actions',
    header: 'Actions',
    cell: () => 'Edit',
  }),
])

Using with createTableHook

When using createTableHook, you get a pre-bound createAppColumnHelper that only requires TData:

import { createTableHook, tableFeatures, rowSortingFeature } from '@tanstack/angular-table'

const features = tableFeatures({ rowSortingFeature })

const { injectAppTable, createAppColumnHelper } = createTableHook({
  features,
  rowModels: { /* ... */ },
})

// TFeatures is already bound, only need TData!
const columnHelper = createAppColumnHelper<Person>()

Rendering Changes

FlexRender

The rendering primitives in the Angular adapter are FlexRender and the *flexRender directives.

In v9, you can continue to render header/cell/footer content using the Angular adapter rendering utilities, but there are a few important improvements and helper APIs to be aware of.

Structural directive rendering

Angular rendering is directive-based:

  • FlexRender / *flexRender renders arbitrary render content (primitives, TemplateRef, component types, or flexRenderComponent(...) wrappers)
  • The directive is responsible for mounting embedded views or components via ViewContainerRef

Shorthand directives

If you're rendering standard table content, prefer the shorthand helpers:

  • *flexRenderCell="cell; let value"
  • *flexRenderHeader="header; let value"
  • *flexRenderFooter="footer; let value"

These automatically select the correct column definition (columnDef.cell / header / footer) and the right props (cell.getContext() / header.getContext()), so you don't need to manually provide props:.

DI-aware render functions + context injection

Column definition render functions (header, cell, footer) run inside an Angular injection context, so they can safely call inject() and use signals.

When a component is rendered through the FlexRender directives, you can also access the full render props object via DI using injectFlexRenderContext().

Component rendering helper: flexRenderComponent

If you need to render an Angular component with explicit configuration (custom inputs, outputs, injector, and Angular v20+ creation-time bindings/directives), return a flexRenderComponent(Component, options) wrapper from your column definition.

For complete rendering details (including component rendering, TemplateRef, flexRenderComponent, and context helpers), see the Rendering components Guide.


The tableOptions() Utility

The tableOptions() helper provides type-safe composition of table options. It's useful for creating reusable partial configurations that can be spread into your table setup.

Basic Usage

import { injectTable, tableOptions, tableFeatures, rowSortingFeature } from '@tanstack/angular-table'
import { isDevMode } from '@angular/core';

const features = tableFeatures({ rowSortingFeature })

// Create a reusable options object with features pre-configured
const baseOptions = tableOptions({
  features,
  debugTable: isDevMode()
})

class TableCmp {
  readonly table = injectTable(() => ({
    ...baseOptions,
    columns: this.columns,
    data: this.data(),
    rowModels: {},
  }))
}

Composing Partial Options

tableOptions() allows you to omit certain required fields (like data, columns, or features) when creating partial configurations:

import {
  tableOptions,
  tableFeatures,
  rowSortingFeature,
  columnFilteringFeature,
  createSortedRowModel,
  createFilteredRowModel,
  filterFns,
  sortFns,
} from '@tanstack/angular-table'

const features = tableFeatures({
  rowSortingFeature,
  columnFilteringFeature,
})

// Partial options without data or columns
const featureOptions = tableOptions({
  features,
  rowModels: {
    sortedRowModel: createSortedRowModel(sortFns),
    filteredRowModel: createFilteredRowModel(filterFns),
  },
})
import { injectTable, tableOptions, createPaginatedRowModel } from '@tanstack/angular-table'

// Another partial without features (inherits from spread)
const paginationDefaults = tableOptions({
  rowModels: {
    paginatedRowModel: createPaginatedRowModel(),
  },
  initialState: {
    pagination: { pageIndex: 0, pageSize: 25 },
  },
})

class TableCmp {
  readonly table = injectTable(() => ({
    ...featureOptions,
    ...paginationDefaults,
    columns: this.columns,
    data: this.data(),
  }))
}

Using with createTableHook

tableOptions() pairs well with createTableHook for building composable table factories:

import {
  createTableHook,
  tableOptions,
  tableFeatures,
  rowSortingFeature,
  rowPaginationFeature,
  createSortedRowModel,
  createPaginatedRowModel,
  sortFns,
} from '@tanstack/angular-table'

const features = tableFeatures({ rowSortingFeature, rowPaginationFeature })

const sharedOptions = tableOptions({
  features,
  rowModels: {
    sortedRowModel: createSortedRowModel(sortFns),
    paginatedRowModel: createPaginatedRowModel(),
  },
})

const { injectAppTable } = createTableHook(sharedOptions)

createTableHook: Composable Table Patterns

This is an advanced, optional feature. You don't need to use createTableHook; injectTable is sufficient for most use cases.

For applications with multiple tables sharing the same configuration, createTableHook lets you define features, row models, and reusable components once.

For full setup and patterns, see the Composable Tables Guide.


Other Breaking Changes

Column Pinning Option Split

The enablePinning option has been split into separate options:

// v8
enablePinning: true

// v9
enableColumnPinning: true
enableRowPinning: true

Removed Internal APIs

All internal APIs prefixed with _ have been removed. If you were using any of these, use their public equivalents.

Column Sizing vs. Column Resizing Split

In v8, column sizing and resizing were combined in a single feature. In v9, they've been split into separate features for better tree-shaking.

v8 v9
ColumnSizing (combined feature) columnSizingFeature + columnResizingFeature
columnSizingInfo state columnResizing state
setColumnSizingInfo() setcolumnResizing() (note the lowercase c, the current v9 spelling)
onColumnSizingInfoChange option onColumnResizingChange option

If you only need column sizing (fixed widths) without interactive resizing, you can import just columnSizingFeature. If you need drag-to-resize functionality, import both.

Sorting API Renames

Sorting-related APIs have been renamed for consistency:

v8 v9
sortingFn (column def option) sortFn
column.getSortingFn() column.getSortFn()
column.getAutoSortingFn() column.getAutoSortFn()
SortingFn type SortFn type
SortingFns interface SortFns interface
sortingFns (built-in functions) sortFns

Update your column definitions.

Row API Changes

Some row APIs have changed from private to public:

v8 v9
row._getAllCellsByColumnId() (private) row.getAllCellsByColumnId() (public)

TypeScript Changes Summary

Type Generics

Most types now require a TFeatures parameter:

// v8
type Column<TData>
type ColumnDef<TData>
type Table<TData>
type Row<TData>
type Cell<TData, TValue>

// v9
type Column<TFeatures, TData, TValue>
type ColumnDef<TFeatures, TData, TValue>
type Table<TFeatures, TData>
type Row<TFeatures, TData>
type Cell<TFeatures, TData, TValue>

Using typeof features

The easiest way to get the TFeatures type is with typeof:

const features = tableFeatures({
  rowSortingFeature,
  columnFilteringFeature,
})

type MyFeatures = typeof features

const columns: ColumnDef<typeof features, Person>[] = [...]

Using StockFeatures

If using stockFeatures, use the StockFeatures type:

import type { StockFeatures, ColumnDef } from '@tanstack/angular-table'

const columns: ColumnDef<StockFeatures, Person>[] = [...]

TableMeta/ColumnMeta Typing Changes

No more declaration merging required! (Although it still works if you want to keep using it)

Global declaration merging to extend TableMeta or ColumnMeta works exactly like it did in v8. The only change you need to make is updating the generics shape: both interfaces now take TFeatures as the first type parameter.

Optionally, v9 also adds a new way to declare meta types per-table without declaration merging. You can use type-only tableMeta/columnMeta slots on the features option, which only affect tables created with that features object:

const features = tableFeatures({
  rowSortingFeature,
  columnMeta: metaHelper<{ customProperty: string }>(),
})

See the new Table and Column Meta Guide for full details on both approaches.

RowData Type Restriction

The RowData type is now more restrictive:

// v8 - very permissive
type RowData = unknown

// v9 - must be a record or array
type RowData = Record<string, any> | Array<any>

This change improves type safety. If you were passing unusual data types, ensure your data conforms to Record<string, any> or Array<any>.


Migration Checklist

  • Update your table setup to v9 and define features using tableFeatures() (or use stockFeatures)
  • Migrate get*RowModel() options to rowModels
  • Update row model factories to include Fns parameters where needed
  • Update TypeScript types to include TFeatures generic
  • Update state access: table.getState().slicetable.atoms.<slice>.get() where possible; use table.store.get() for full-state/debug reads
  • Update createColumnHelper<TData>()createColumnHelper<TFeatures, TData>()
  • Replace enablePinning with enableColumnPinning/enableRowPinning if used
  • Rename sortingFnsortFn in column definitions
  • Split column sizing/resizing: use both columnSizingFeature and columnResizingFeature if needed
  • Rename columnSizingInfo state → columnResizing (and related options)
  • If you use TableMeta/ColumnMeta declaration merging, add the TFeatures generic to your augmentations (optionally, switch to the per-table tableMeta/columnMeta feature slots)
  • (Optional) Use tableOptions() for composable configurations
  • (Optional) Use createTableHook for reusable table patterns

Examples

Check out these examples to see v9 patterns in action: