No river _meta document found after attempts – How to solve related issues

No river _meta document found after attempts – How to solve related issues

Opster Team

Feb-20, Version: 1.7-8.0


Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which can resolve issues that cause many errors.

This guide will help you check for common problems that cause the log ” No river _meta document found after attempts ” to appear. It’s important to understand the issues related to the log, so to get started, read the general overview on common issues and tips related to the Elasticsearch concepts: document and routing.

Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them (free tool that requires no installation).

Log Context

Log “no river _meta document found after {} attempts” classname is
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

        // At least one type does not have _meta; so we are
        // going to reschedule some checks
        if (!metaFound) {
            if (countDown.countDown()) {
                logger.warn("no river _meta document found after {} attempts"; RIVER_START_MAX_RETRIES);
            } else {
                logger.debug("no river _meta document found retrying in {} ms"; RIVER_START_RETRY_INTERVAL.millis());
                try {
                    threadPool.schedule(RIVER_START_RETRY_INTERVAL; ThreadPool.Names.GENERIC; new Runnable() {


Run the Check-Up to get customized recommendations like this:

checklist Run Check-Up


Heavy merges detected in specific nodes



A large number of small shards can slow down searches and cause cluster instability. Some indices have shards that are too small…


Recommendations Based on your specific ES deployment you should…

Based on your specific ES deployment you should…


X-PUT curl -H [a customized code snippet to resolve the issue]




Optimize Elasticsearch Performance

Run The Tool