Struct BatchLogProcessor 

pub struct BatchLogProcessor { /* private fields */ }

The BatchLogProcessor collects finished logs in a buffer and exports them in batches to the configured LogExporter. This processor is ideal for high-throughput environments, as it minimizes the overhead of exporting logs individually. It uses a dedicated background thread to manage and export logs asynchronously, ensuring that the application’s main execution flow is not blocked.

This processor supports the following configurations:

• Queue size: Maximum number of log records that can be buffered.
• Batch size: Maximum number of log records to include in a single export.
• Scheduled delay: Frequency at which the batch is exported.

When using this processor with the OTLP Exporter, the following exporter features are supported:

• grpc-tonic: Requires LoggerProvider to be created within a tokio runtime.
• reqwest-blocking-client: Works with a regular main or tokio::main.

In other words, async HTTP clients like reqwest-client and hyper-client are not supported by this default processor. The OTLP HTTP exporter chooses its default HTTP client from enabled crate features and cannot tell which processor will drive it. If your dependency graph enables async HTTP client features, either pass an explicit blocking client for this processor or use the experimental async-runtime batch log processor.

BatchLogProcessor buffers logs in memory and exports them in batches. An export is triggered when max_export_batch_size is reached or every scheduled_delay milliseconds. Users can explicitly trigger an export using the force_flush method. Shutdown also triggers an export of all buffered logs and is recommended to be called before the application exits to ensure all buffered logs are exported.

Warning: When using tokio’s current-thread runtime, shutdown(), which is a blocking call ,should not be called from your main thread. This can cause deadlock. Instead, call shutdown() from a separate thread or use tokio’s spawn_blocking.

Using a BatchLogProcessor:

use opentelemetry_sdk::logs::{BatchLogProcessor, BatchConfigBuilder, SdkLoggerProvider};
use opentelemetry::global;
use std::time::Duration;
use opentelemetry_sdk::logs::InMemoryLogExporter;

let exporter = InMemoryLogExporter::default(); // Replace with an actual exporter
let processor = BatchLogProcessor::builder(exporter)
    .with_batch_config(
        BatchConfigBuilder::default()
            .with_max_queue_size(2048)
            .with_max_export_batch_size(512)
            .with_scheduled_delay(Duration::from_secs(5))
            .build(),
    )
    .build();

let provider = SdkLoggerProvider::builder()
    .with_log_processor(processor)
    .build();

Implementations

impl BatchLogProcessor

pub fn builder<E>(exporter: E) -> BatchLogProcessorBuilder<E>

where E: LogExporter,

Create a new batch processor builder

Trait Implementations

impl Debug for BatchLogProcessor

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl LogProcessor for BatchLogProcessor

fn emit( &self, record: &mut SdkLogRecord, instrumentation: &InstrumentationScope, )

Called when a log record is ready to processed and exported.

fn force_flush(&self) -> OTelSdkResult

Force the logs lying in the cache to be exported.

fn shutdown_with_timeout(&self, timeout: Duration) -> OTelSdkResult

Shuts down the processor. After shutdown returns the log processor should stop processing any logs. It’s up to the implementation on when to drop the LogProcessor.

fn set_resource(&mut self, resource: &Resource)

Set the resource for the log processor.

fn shutdown(&self) -> OTelSdkResult

Shuts down the processor with default timeout.

fn event_enabled( &self, _level: Severity, _target: &str, _name: Option<&str>, ) -> bool

Check if logging is enabled