startBatch
Overview
Section titled “Overview”The startBatch function is used in conjunction with the batch function to batch multiple updates to refs, optimizing performance by reducing the number of observer notifications and triggers during a series of updates. The startBatch function initializes a batch operation, and any ref updates made after calling startBatch are batched together until the endBatch function is called.
Starting a Batch
Section titled “Starting a Batch”To start a batch of ref updates, call the startBatch function. Once a batch is started, any subsequent changes made to refs are considered part of that batch and are not immediately observed or triggered. Instead, observers are notified only once at the end of the batch.
import { batch, startBatch, endBatch, ref } from 'regor'
const myRef1 = ref(5)const myRef2 = ref(10)
startBatch() // Start a batch
myRef1.value = 15myRef2.value = 20
endBatch() // End the batch
// Observers are notified only once at the end of the batch// Outputs:// Observer triggered: 20-
The
startBatchfunction is used in conjunction with theendBatchfunction to group ref updates together within a batch. After starting a batch withstartBatch, any subsequent changes to refs are included in that batch until theendBatchfunction is called. -
Batching updates with the
startBatchandendBatchfunctions can help improve the performance of your application when multiple changes are made to refs in a short period. It reduces the number of observer notifications and triggers, which can be especially beneficial in situations with complex reactivity logic. -
It’s essential to call the
endBatchfunction to finalize the batch and notify observers of the ref updates made during the batch. -
Important: When using the batch functions, keep in mind that reads of refs within the batch can return potentially stale or outdated values due to pausing auto-updates. Ensure that your code logic accounts for this situation when reading refs within a batch.