Failed to update the original token document . the update result was . Retrying – 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 analyzes 2 JSON files to detect many errors.

To easily locate the root cause and resolve this issue try AutoOps for Elasticsearch & OpenSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.

This guide will help you check for common problems that cause the log ” Failed to update the original token document . the update result was . Retrying ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: document and plugin.

Log Context

Log “failed to update the original token document [{}]; the update result was [{}]. Retrying” classname is TokenService.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :

                             final UserToken toRefreshUserToken = parsedTokens.v1();
                            createOAuth2Tokens(newAccessTokenString; newRefreshTokenString; newTokenVersion;
                                getTokensIndexForVersion(newTokenVersion); toRefreshUserToken.getAuthentication(); clientAuth;
                                toRefreshUserToken.getMetadata(); listener);
                        } else if (backoff.hasNext()) {
                            logger.info("failed to update the original token document [{}]; the update result was [{}]. Retrying";
                                    tokenDocId; updateResponse.getResult());
                            final Runnable retryWithContextRunnable = client.threadPool().getThreadContext()
                                .preserveContext(() -> innerRefresh(refreshToken; tokenDocId; source; seqNo; primaryTerm; clientAuth;
                                    backoff; refreshRequested; listener));
                            client.threadPool().schedule(retryWithContextRunnable; backoff.next(); GENERIC);




 

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