Elasticsearch Elasticsearch Index Management

By Opster Expert Team - May 2023

Updated: Jan 28, 2024

| 2 min read

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Elasticsearch Index: Efficient Management and Best Practices

Efficient management of Elasticsearch indices is crucial for maintaining optimal performance and ensuring the smooth functioning of your Elasticsearch environment. In this article, we will discuss some best practices and techniques for managing your Elasticsearch index list.

1. Use Index Templates for Consistent Settings

Index templates are a powerful way to ensure consistent settings across multiple indices. They allow you to define settings, mappings, and aliases that will be applied automatically to new indices matching a specified pattern. To create an index template, use the following API call:

PUT _index_template/template_name
{
"index_patterns": ["pattern-*"],
"template": {
"settings": {
"number_of_shards": 2,
"number_of_replicas": 1
},
"mappings": {
"properties": {
"field_name": {
"type": "keyword"
}
}
}
}
}

2. Implement Index Lifecycle Management (ILM)

Index Lifecycle Management (ILM) is a feature that allows you to automate the management of indices based on their age and performance. ILM policies can be used to perform actions such as rollover, shrink, force merge, and delete indices when specific conditions are met. To create an ILM policy, use the following API call:

PUT _ilm/policy/policy_name
{
"policy": {
"phases": {
"hot": {
"actions": {
"rollover": {
"max_size": "50gb",
"max_age": "30d"
}
}
},
"delete": {
"min_age": "90d",
"actions": {
"delete": {}
}
}
}
}
}

3. Monitor and Optimize Index Performance

Regularly monitoring index performance is essential for identifying potential issues and optimizing resource usage. Key performance metrics to monitor include query latency, indexing rate, and resource utilization. Use the `_stats` API to retrieve index statistics:

GET index_name/_stats

Based on the gathered statistics, you can optimize index performance by adjusting settings such as the number of shards, refresh interval, and merge policy.

4. Use Aliases for Seamless Index Switching

Aliases allow you to create a reference to one or more indices, making it easier to switch between them without modifying application code. This is particularly useful for performing operations such as reindexing or rolling over indices. To create an alias, use the following API call:

POST _aliases
{
"actions": [
{
"add": {
"index": "index_name",
"alias": "alias_name"
}
}
]
}

5. Secure Your Indices with Role-Based Access Control (RBAC)

Role-Based Access Control (RBAC) enables you to define permissions for users and groups based on their roles. This helps to ensure that users can only access the indices and perform the actions they are authorized to. To create a role with specific index permissions, use the following API call:

PUT _security/role/role_name
{
"indices": [
{
"names": ["index_name"],
"privileges": ["read", "write"]
}
]
}

By following these best practices and techniques, you can efficiently manage your Elasticsearch indexes and maintain optimal performance in your Elasticsearch environment.

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