Before you dig into reading this guide, have you tried asking OpsGPT what this log means? You’ll receive a customized analysis of your log.
Try OpsGPT now for step-by-step guidance and tailored insights into your OpenSearch operation.
Briefly, this error occurs when OpenSearch is unable to execute multiple operations in a single API call, known as a bulk request. This could be due to various reasons such as insufficient memory, incorrect data format, or network issues. To resolve this, you can increase the memory allocation, ensure the data format is correct, or check the network connectivity. Additionally, you can also break down the bulk request into smaller parts to reduce the load on the server.
For a complete solution to your to your search operation, try for free AutoOps for Elasticsearch & OpenSearch . With AutoOps and Opster’s proactive support, you don’t have to worry about your search operation – we take charge of it. Get improved performance & stability with less hardware.
This guide will help you check for common problems that cause the log ” Failed to execute bulk request {}. ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: bulk, request.
Log Context
Log “Failed to execute bulk request {}.” classname is BulkRequestHandler.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
logger.info(() -> new ParameterizedMessage("Bulk request {} has been cancelled."; executionId); e);
listener.afterBulk(executionId; bulkRequest; e);
} catch (Exception e) {
logger.warn(() -> new ParameterizedMessage("Failed to execute bulk request {}."; executionId); e);
listener.afterBulk(executionId; bulkRequest; e);
} finally {
if (bulkRequestSetupSuccessful == false) { // if we fail on client.bulk() release the semaphore
toRelease.run();
}
