Row models and data sources

Core supports different row data sources. The choice affects refresh/caching and UI updates.

1) Client row model

Use when all data is in memory.

import { createClientRowModel } from "@affino/datagrid-core"

const rowModel = createClientRowModel({ rows })

2) Server‑backed row model

Use for large tables and lazy loading.

import { createServerBackedRowModel } from "@affino/datagrid-core"

const rowModel = createServerBackedRowModel({
  getRowCount: async () => total,
  getRow: async index => fetchRow(index),
})

3) Refresh recommendations

• Data change: api.refreshRows("manual")
• Column change: api.refreshColumns("manual")
• Measurement change: update viewport measurements in the adapter

4) Diagnostics and control

For deterministic updates, use manual refresh and validate snapshots via api.getRowSnapshot().