Briefly, this error occurs when Elasticsearch attempts to start a data frame analytics job but encounters an issue. This could be due to insufficient resources, incorrect configuration, or a problem with the underlying data. To resolve this, ensure that your cluster has enough resources (CPU, memory, disk space) to handle the job. Check the configuration of your data frame analytics job for any errors. Also, verify the integrity of your data, ensuring it is in the correct format and free from corruption.
This guide will help you check for common problems that cause the log ” Starting dataframe [ ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “Starting dataframe [” class name is TransportStartDataFrameTransformAction.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
listener.onFailure(e);
} @Override
public void onTimeout(TimeValue timeout) {
listener.onFailure(new ElasticsearchException("Starting dataframe ["
+ params.getId() + "] timed out after [" + timeout + "]"));
}
});
}
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