Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many errors.
Briefly, this error occurs when Elasticsearch encounters an unexpected error while indexing a monitoring document. Monitoring documents are used to collect information about the health and performance of Elasticsearch clusters. The error message will typically include additional information about the specific error that occurred. To resolve this issue, the user should consult the Elasticsearch documentation for guidance on how to troubleshoot monitoring issues, paying particular attention to any recommended best practices for configuring and monitoring Elasticsearch.
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 ” Unexpected error while indexing monitoring document ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: bulk, indexing, plugin and response.
Overview
In Elasticsearch, when using the Bulk API it is possible to perform many write operations in a single API call, which increases the indexing speed. Using the Bulk API is more efficient than sending multiple separate requests. This can be done for the following four actions:
- Index
- Update
- Create
- Delete
Examples
The bulk request below will index a document, delete another document, and update an existing document.
POST _bulk
{ "index" : { "_index" : "myindex", "_id" : "1" } }
{ "field1" : "value" }
{ "delete" : { "_index" : "myindex", "_id" : "2" } }
{ "update" : {"_id" : "1", "_index" : "myindex"} }
{ "doc" : {"field2" : "value5"} }Notes
- Bulk API is useful when you need to index data streams that can be queued up and indexed in batches of hundreds or thousands, such as logs.
- There is no correct number of actions or limits to perform on a single bulk call, but you will need to figure out the optimum number by experimentation, given the cluster size, number of nodes, hardware specs etc.
Overview
Indexing is the process of adding documents to and updating documents on an Elasticsearch index.
Examples
In its simplest form, you can index a document like this:
POST /test/_doc
{
"message": "Opster Rocks Elasticsearch Management"
}This will create the index “test” (if it doesn’t already exist) and add a document with the source equal to the body of the POST call. In this case, the ID will be created automatically. If you repeat this command, a second document will be created with an identical source but a different ID.
Alternatively, you can do this:
PUT /test/_doc/1
{
"message": "Opster Elasticsearch Management and Troubleshooting"
}This is almost the same, but in this case, the call sets the ID of the document to 1. If you repeat the command modifying the message, you will modify the original document, replacing the previous source with the latest source.
However note that this is NOT the same as an UPDATE operation, which is a different API and allows us to modify certain fields of the document while leaving others unchanged.
Notes and good things to know
You can set your own ID if necessary (especially if you later need to update the same ID) but this comes at a performance penalty. If you don’t need to update documents, then let Elasticsearch set its own ID automatically.
If you need to index many documents at once, it is much more efficient to use the BULK API to carry out these operations with a single call.
Indexing is not an immediate automatic process. Documents will not be available for search until the index has refreshed. Refresh time by default is 1 second. Increasing this time reduces the burden on the cluster of indexing, increasing indexing speed. It is possible to modify the refresh time in the index settings.
You can apply version control by setting the version parameter (?version=3) and indicating version_type=external. By doing this Elasticsearch will reject any index requests where the version specified is less than the current version. This can be useful when running distributed processes and you cannot guarantee that updated documents arrive in the correct order.
PUT test/_doc/1?version=20&version_type=external
{
"message" : "using external version the document will be modified only if version is greater than previous!"
}The process of indexing is as follows
The index request is sent to the primary shard. Once the primary shard is updated, then the replication process request will be relayed to the replica shards. The command will not return until the primary shard (at least) has been updated. For greater resilience, you can specify a minimum number of shard replicas to be available before proceeding with the operation by using the parameter ?wait_for_active_shards=2
You can also specify which specific shard the index operation is sent to by using the “routing” command. There are 2 reasons that this might be done:
- Certain Elasticsearch functions (parent-child documents) that require that the parent and child documents be held on the same shard.
- Secondly, it may be possible to increase search speeds and reduce load on Elasticsearch by storing similar documents together on the same shard and then specifying the routing for both indexing and searching. Although this can be done explicitly during indexing, it is not recommended. It would be preferable to set this up using the index mapping, so that the routing is determined by an ID value on the source document.
Overview
A plugin is used to enhance the core functionalities of Elasticsearch. Elasticsearch provides some core plugins as a part of their release installation. In addition to those core plugins, it is possible to write your own custom plugins as well. There are several community plugins available on GitHub for various use cases.
Examples
Get all of the instructions for the plugin:
sudo bin/elasticsearch-plugin -h
Installing the S3 plugin for storing Elasticsearch snapshots on S3:
sudo bin/elasticsearch-plugin install repository-s3
Removing a plugin:
sudo bin/elasticsearch-plugin remove repository-s3
Installing a plugin using the file’s path:
sudo bin/elasticsearch-plugin install file:///path/to/plugin.zip
Notes and good things to know
- Plugins are installed and removed using the elasticsearch-plugin script, which ships as a part of the Elasticsearch installation and can be found inside the bin/ directory of the Elasticsearch installation path.
- A plugin has to be installed on every node of the cluster and each of the nodes has to be restarted to make the plugin visible.
- You can also download the plugin manually and then install it using the elasticsearch-plugin install command, providing the file name/path of the plugin’s source file.
- When a plugin is removed, you will need to restart every Elasticsearch node in order to complete the removal process.
Common issues
- Managing permission issues during and after plugin installation is the most common problem. If Elasticsearch was installed using the DEB or RPM packages then the plugin has to be installed using the root user. Otherwise you can install the plugin as the user that owns all of the Elasticsearch files.
- In the case of DEB or RPM package installation, it is important to check the permissions of the plugins directory after you install it. You can update the permission if it has been modified using the following command:
chown -R elasticsearch:elasticsearch path_to_plugin_directory
- If your Elasticsearch nodes are running in a private subnet without internet access, you cannot install a plugin directly. In this case, you can simply download the plugins and copy the files inside the plugins directory of the Elasticsearch installation path on every node. The node has to be restarted in this case as well.
Log Context
Log “Unexpected error while indexing monitoring document: [{}]” classname is HttpExportBulkResponseListener.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
void onError(final String msg; final Throwable cause) {
logger.warn(msg; cause);
}
void onItemError(final String text) {
logger.warn("unexpected error while indexing monitoring document: [{}]"; text);
}
}
