Examples with ExporterWithAttributeProcessor com.microsoft.applicationinsights.agent.internal.processors.ExporterWithAttributeProcessor used on opensource projects

Example 1 with ExporterWithAttributeProcessor

use of com.microsoft.applicationinsights.agent.internal.processors.ExporterWithAttributeProcessor in project ApplicationInsights-Java by microsoft.

the class OpenTelemetryConfigurer method createExporter.

private static BatchSpanProcessor createExporter(Configuration configuration) {
    List<ProcessorConfig> processors = configuration.preview.processors.stream().filter(processor -> processor.type != Configuration.ProcessorType.METRIC_FILTER).collect(Collectors.toCollection(ArrayList::new));
    // Reversing the order of processors before passing it to SpanProcessor
    Collections.reverse(processors);
    SpanExporter currExporter = new Exporter(TelemetryClient.getActive(), configuration.preview.captureHttpServer4xxAsError);
    // flushing TelemetryClient
    if (!processors.isEmpty()) {
        for (ProcessorConfig processorConfig : processors) {
            switch(processorConfig.type) {
                case ATTRIBUTE:
                    currExporter = new ExporterWithAttributeProcessor(processorConfig, currExporter);
                    break;
                case SPAN:
                    currExporter = new ExporterWithSpanProcessor(processorConfig, currExporter);
                    break;
                case LOG:
                    currExporter = new ExporterWithLogProcessor(processorConfig, currExporter);
                    break;
                default:
                    throw new IllegalStateException("Not an expected ProcessorType: " + processorConfig.type);
            }
        }
        // this is temporary until semantic attributes stabilize and we make breaking change
        // then can use java.util.functions.Predicate<Attributes>
        currExporter = new BackCompatHttpUrlProcessor(currExporter);
    }
    // using BatchSpanProcessor in order to get off of the application thread as soon as possible
    BatchSpanProcessorBuilder builder = BatchSpanProcessor.builder(currExporter);
    String delayMillisStr = System.getenv("APPLICATIONINSIGHTS_PREVIEW_BSP_SCHEDULE_DELAY");
    if (delayMillisStr != null) {
        // experimenting with flushing at small interval instead of using batch size 1
        // (suspect this may be better performance on small containers)
        builder.setScheduleDelay(Duration.ofMillis(Integer.parseInt(delayMillisStr)));
    } else {
        // using batch size 1 because need to convert to SpanData as soon as possible to grab data for
        // live metrics. the real batching is done at a lower level
        builder.setMaxExportBatchSize(1);
    }
    return builder.build();
}