Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.
ClickPipes supports Elasticsearch as a target data source to help you quickly build data pipelines for scenarios such as log data write analytics, content management, and search analytics. This article provides a comprehensive guide on how to add Elasticsearch to ClickPipes.
Supported Versions and Architectures
| Category | Description |
|---|---|
| Version | Elasticsearch 5.x, 6.x, 7.x, 8.x |
| Architecture | Supports both standalone and cluster deployments |
Supported Data Types
| Category | Data Types |
|---|---|
| Text Types | text, keyword |
| Numeric Types | long, integer, short, byte, double, float, half_float, scaled_float |
| Date Types | date |
| Boolean Type | boolean |
| Binary Type | binary |
| Range Types | integer_range, float_range, long_range, double_range, date_range |
| Complex Types | object, nested |
Source Config
Connection Settings
- Connection name: Fill in a unique name that has business significance.
- Connection type: Currently only supported as a Target.
- Host: Fill in the Elasticsearch connection address.
- Port: Fill in the service port for Elasticsearch, for example 9200.
- Username, Password: Fill in the username and password for Elasticsearch separately. If authentication is not enabled, you can leave it blank.
Advanced Settings
- Agent settings: Defaults to Platform automatic allocation, you can also manually specify an agent.
- Model load time: When the number of models in the data source is less than 10,000, the model information is refreshed every hour; if the model data exceeds 10,000, the model information is refreshed every day at the time you specify.