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BatchTransform

Struct BatchTransform 

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pub struct BatchTransform { /* private fields */ }
Expand description

Groups envelopes into batches by maximum count and/or maximum time window.

When either limit is reached, the batch is emitted as a single envelope whose payload contains an array of the original payloads under the configured payload_key.

§Meta derivation

The emitted envelope inherits meta from the first envelope in the batch. Its key is set to batch-{first_timestamp_ms} so downstream sinks that require a key have a deterministic value.

§Acknowledgement

Because channels are the acknowledgement boundary, the batched envelope is acknowledged only when downstream work for it completes. This in turn acknowledges every constituent envelope, since none are released until the batch envelope is delivered to the next stage.

§Cancellation

By default (flush_on_cancel = true), any partial batch is flushed immediately when the cancellation token fires. When set to false, partial batches are dropped on cancellation.

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impl BatchTransform

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pub fn new( id: impl Into<String>, max_size: usize, max_delay_ms: Option<u64>, payload_key: impl Into<String>, flush_on_cancel: bool, ) -> Self

Trait Implementations§

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impl Transform for BatchTransform

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fn id(&self) -> &str

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fn set_node_ctx(&mut self, ctx: NodeCtx)

Attach the per-node observability context. Called by spawn_pipeline after the transform is built but before it runs. Default no-op — full-control transforms that want metrics override this and store the ctx; BasicTransform already does so for the common path.
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fn run<'async_trait>( self: Box<Self>, rx: Receiver<Envelope>, tx: Sender<Envelope>, cancel: CancellationToken, ) -> Pin<Box<dyn Future<Output = ()> + Send + 'async_trait>>
where Self: 'async_trait,

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