Bulk processor is full Start dropping events – How to solve this Elasticsearch error

Opster Team

Aug-23, Version: 8.8-8.9

Briefly, this error occurs when the Elasticsearch Bulk Processor reaches its maximum capacity and can’t accept more data, leading to data loss as it starts dropping events. This could be due to high data ingestion rate or slow processing speed. To resolve this, you can increase the bulk size or the number of concurrent requests allowed in the Bulk Processor. Alternatively, optimize your Elasticsearch cluster by adding more nodes or increasing hardware resources. Also, consider improving your data ingestion strategy by using a queue or buffer system to handle peak loads.

This guide will help you check for common problems that cause the log ” Bulk processor is full. Start dropping events. ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, bulk.

Log Context

Log “Bulk processor is full. Start dropping events.” classname is AnalyticsEventEmitter.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                new ElasticsearchStatusException("Unable to add the event: too many requests."; RestStatus.TOO_MANY_REQUESTS)

            if (dropEvent.compareAndSet(false; true)) {
                logger.warn("Bulk processor is full. Start dropping events.");

    private IndexRequest createIndexRequest(AnalyticsEvent event) throws IOException {


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