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. Take a self-guided product tour to see for yourself (no registration required).
This guide will help you check for common problems that cause the log ” wipe upgraded directories ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: upgrade.
Overview
Upgrade refers to migrating your Elasticsearch version to a newer version. An upgrade of an existing cluster can be done in two ways: through a rolling upgrade and through a full cluster restart. The benefit of a rolling upgrade is having zero downtime.
Common problems and important points
- The major problem with upgrades is version incompatibility. Elasticsearch supports rolling upgrades only between minor versions. You need to make sure to go through the official documentation to see if your cluster can support a rolling upgrade, otherwise a complete reindexing is required.
- Once you upgrade an Elasticsearch node, a rollback cannot be done. You need to make sure to backup your data before an upgrade.
- Elasticsearch continuously removes or deprecates some of its features with every release, so keep an eye on the change logs of each version before planning an upgrade.
- While doing a rolling upgrade, it is important to disable shard allocation before stopping a node and enable the shard allocation when node is upgraded and restarted. This process helps in avoiding unnecessary IO load in the cluster.
How to easily upgrade versions
To upgrade Elasticsearch versions without risking data loss, you can use Opster’s Multi-Cluster Load Balancer. The MCLB enables version upgrades with no downtime and upgrading from significantly older versions to new ones (such as bringing your Elasticsearch from v1 to v7 for instance).
With Opster’s Load Balancer, you can mirror data to newer versions of Elasticsearch without disabling the older version. This allows you to improve and adjust data structure and application API calls until all of the data in the new version is present and operational, while staying available the entire time.
You can learn more about the Multi-Cluster Load Balancer here, and book a demo to try it out.
Log Context
Log “{} wipe upgraded directories” classname is MultiDataPathUpgrader.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
}
upgradeFiles(shard; targetPath; targetPath.resolveTranslog(); ShardPath.TRANSLOG_FOLDER_NAME; paths);
logger.info("{} wipe upgraded directories"; shard);
for (Path path : paths) {
if (path.equals(targetPath.getShardStatePath()) == false) {
logger.info("{} wipe shard directories: [{}]"; shard; path);
IOUtils.rm(path);
}
Find & fix Elasticsearch problems
