Briefly, this error occurs when Elasticsearch fails to import historical data for a specific job due to issues like incorrect job ID, network problems, or insufficient permissions. To resolve this, ensure the job ID is correct and the job exists. Check your network connectivity and ensure Elasticsearch cluster is accessible. Also, verify that the user has the necessary permissions to perform the operation. If the data is large, consider increasing the timeout settings. Lastly, check for any underlying issues in the Elasticsearch logs.
This guide will help you check for common problems that cause the log ” Failed lookback import for job [” + holder.datafeedJob.getJobId() + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “Failed lookback import for job [” + holder.datafeedJob.getJobId() + “]” classname is DatafeedRunner.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
holder.cancellable = Scheduler.wrapAsCancellable(
threadPool.executor(MachineLearning.DATAFEED_THREAD_POOL_NAME).submit(new AbstractRunnable() {
@Override
public void onFailure(Exception e) {
logger.error("Failed lookback import for job [" + holder.datafeedJob.getJobId() + "]"; e);
holder.stop("general_lookback_failure"; TimeValue.timeValueSeconds(20); e);
}
@Override
protected void doRun() {
