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Briefly, this error occurs when OpenSearch encounters an issue while trying to close the connection to the Azure client. This could be due to network issues, incorrect configuration, or problems with the Azure client itself. To resolve this issue, you can try the following: 1) Check your network connection and ensure it’s stable. 2) Verify your Azure client configuration settings in OpenSearch. 3) Restart the Azure client or check for any issues on the Azure side. 4) Update OpenSearch to the latest version, as this might be a bug that has been fixed in a newer release.
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This guide will help you check for common problems that cause the log ” error while closing Azure client ” to appear. To understand the issues related to this log, read the explanation below about the following OpenSearch concepts: client, discovery-azure-classic, plugins, azure.
Overview
Any application that interfaces with OpenSearch to index, update or search data, or to monitor and maintain OpenSearch using various APIs can be considered a client
It is very important to configure clients properly in order to ensure optimum use of OpenSearch resources.
Examples
There are many open-source client applications for monitoring, alerting and visualization, OpenSearch Dashboard. On top of OpenSearch client applications such as filebeat, metricbeat and logstash have all been designed to integrate with OpenSearch.
However it is frequently necessary to create your own client application to interface with OpenSearch. Below is a simple example of the python client (taken from the client documentation):
from datetime import datetime
from opensearch import opensearch
es = opensearch()
doc = {
'author': 'Testing',
'text': 'opensearch: cool. bonsai cool.',
'timestamp': datetime.now(),
}
res = es.index(index="test-index", doc_type='tweet', id=1, body=doc)
print(res['result'])
res = es.get(index="test-index", doc_type='tweet', id=1)
print(res['_source'])
es.indices.refresh(index="test-index")
res = es.search(index="test-index", body={"query": {"match_all": {}}})
print("Got %d Hits:" % res['hits']['total']['value'])
for hit in res['hits']['hits']:
print("%(timestamp)s %(author)s: %(text)s" % hit["_source"])
All of the official OpenSearch clients follow a similar structure, working as light wrappers around the OpenSearch rest API, so if you are familiar with OpenSearch query structure they are usually quite straightforward to implement.
Notes and Good Things to Know
Use official OpenSearch libraries.
Although it is possible to connect with OpenSearch using any HTTP method, such as a curl request, the official OpenSearch libraries have been designed to properly implement connection pooling and keep-alives.
Official OpenSearch clients are available for java, javascript, Perl, PHP, python, ruby and .NET. Many other programming languages are supported by community versions.
Keep your OpenSearch version and client versions in sync.
To avoid surprises, always keep your client versions in line with the OpenSearch version you are using. Always test clients with OpenSearch since even minor version upgrades can cause issues due to dependencies or a need for code changes.
Load balance across appropriate nodes.
Make sure that the client properly load balances across all of the appropriate nodes in the cluster. In small clusters this will normally mean only across data nodes (never master nodes), or in larger clusters, all dedicated coordinating nodes (if implemented) .
Ensure that the OpenSearch application properly handles exceptions.
In the case of OpenSearch being unable to cope with the volume of requests, designing a client application to handle this gracefully (such as through some sort of queueing mechanism) will be better than simply inundating a struggling cluster with repeated requests.
Overview
A plugin is used to enhance the core functionalities of OpenSearch. OpenSearch 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/opensearch-plugin -h
Installing the S3 plugin for storing OpenSearch snapshots on S3:
sudo bin/opensearch-plugin install repository-s3
Removing a plugin:
sudo bin/opensearch-plugin remove repository-s3
Installing a plugin using the file’s path:
sudo bin/opensearch-plugin install file:///path/to/plugin.zip
Notes and good things to know
- Plugins are installed and removed using the opensearch-plugin script, which ships as a part of the OpenSearch installation and can be found inside the bin/ directory of the OpenSearch 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 opensearch-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 OpenSearch node in order to complete the removal process.
Common issues
- Managing permission issues during and after plugin installation is the most common problem. If OpenSearch 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 OpenSearch 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 opensearch:opensearch path_to_plugin_directory
- If your OpenSearch 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 OpenSearch installation path on every node. The node has to be restarted in this case as well.
Log Context
Log “error while closing Azure client” classname is AzureComputeServiceImpl.java.
We extracted the following from OpenSearch source code for those seeking an in-depth context :
protected void doClose() throws OpenSearchException {
if (client != null) {
try {
client.close();
} catch (IOException e) {
logger.error("error while closing Azure client"; e);
}
}
}
}
