This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Batch Documentation 5.2.3!

Micrometer support

Monitoring and metrics

Since version 4.2, Spring Batch provides support for batch monitoring and metrics based on Micrometer. This section describes which metrics are provided out-of-the-box and how to contribute custom metrics.

Built-in metrics

Metrics collection is disabled by default. To enable it, you need to define a Micrometer ObservationRegistry bean in your application context. Typically, you would need to define which ObservationHandler to use. The following example shows how to register a DefaultMeterObservationHandler that will store metrics in a MeterRegistry (for example, a Prometheus registry):

@Bean
public ObservationRegistry observationRegistry(MeterRegistry meterRegistry) {
    ObservationRegistry observationRegistry = ObservationRegistry.create();
    observationRegistry.observationConfig()
        .observationHandler(new DefaultMeterObservationHandler(meterRegistry));
    return observationRegistry;
}

Spring Batch specific metrics are registered under the spring.batch prefix. The following table explains all the metrics in details:

Metric Name

Type

Description

Tags

spring.batch.job

TIMER

Duration of job execution

name, status

spring.batch.job.active

LONG_TASK_TIMER

Currently active job

name

spring.batch.step

TIMER

Duration of step execution

name, job.name, status

spring.batch.step.active

LONG_TASK_TIMER

Currently active step

name

spring.batch.item.read

TIMER

Duration of item reading

job.name, step.name, status

spring.batch.item.process

TIMER

Duration of item processing

job.name, step.name, status

spring.batch.chunk.write

TIMER

Duration of chunk writing

job.name, step.name, status

spring.batch.job.launch.count

COUNTER

Job launch count

N/A
The status tag for jobs and steps is equal to the exit status. For item reading, processing and writing, this status tag can be either SUCCESS or FAILURE.

Custom metrics

If you want to use your own metrics in your custom components, we recommend using Micrometer APIs directly. The following is an example of how to time a Tasklet:

import io.micrometer.observation.Observation;
import io.micrometer.observation.ObservationRegistry;

import org.springframework.batch.core.StepContribution;
import org.springframework.batch.core.scope.context.ChunkContext;
import org.springframework.batch.core.step.tasklet.Tasklet;
import org.springframework.batch.repeat.RepeatStatus;

public class MyTimedTasklet implements Tasklet {

    private ObservationRegistry observationRegistry;

    public MyTimedTasklet(ObservationRegistry observationRegistry) {
        this.observationRegistry = observationRegistry;
    }

	@Override
	public RepeatStatus execute(StepContribution contribution, ChunkContext chunkContext) {
		Observation observation = Observation.start("my.tasklet.step", this.observationRegistry);
		try (Observation.Scope scope = observation.openScope()) {
			// do some work
		    return RepeatStatus.FINISHED;
		} catch (Exception e) {
			// handle exception
            observation.error(exception);
		} finally {
			observation.stop();
		}
	}
}

Tracing

As of version 5, Spring Batch provides tracing through Micrometer’s Observation API. By default, tracing is disabled. To enable it, you need to define an ObservationRegistry bean configured with an ObservationHandler that supports tracing, such as TracingAwareMeterObservationHandler:

@Bean
public ObservationRegistry observationRegistry(MeterRegistry meterRegistry, Tracer tracer) {
    DefaultMeterObservationHandler observationHandler = new DefaultMeterObservationHandler(meterRegistry);
    ObservationRegistry observationRegistry = ObservationRegistry.create();
    observationRegistry.observationConfig()
            .observationHandler(new TracingAwareMeterObservationHandler<>(observationHandler, tracer));
    return observationRegistry;
}

With that in place, Spring Batch will create a trace for each job execution and a span for each step execution.

If you do not use EnableBatchProcessing or DefaultBatchConfiguration, you need to register a BatchObservabilityBeanPostProcessor in your application context, which will automatically set Micrometer’s observation registry in observable batch artefacts.