Mapping and Schema Design
Efficient mappings reduce storage requirements and improve query performance.
Disable Unnecessary Features
- Disable _source if not needed, to save storage space.
- Disable field data on text fields that do not need to be aggregated.
Example: Optimized Mapping
PUT /timeseries-2023.05.30
{
"mappings": {
"_source": { "enabled": false },
"properties": {
"timestamp": { "type": "date" },
"value": { "type": "float" },
"message": {
"type": "text",
"index": false
}
}
}
}
Tuning Elasticsearch for Time Series Data
Elasticsearch is a powerful and versatile tool for handling a wide variety of data types, including time series data. However, optimizing Elasticsearch for time series data requires specific tuning and configuration to ensure high performance and efficient storage. This article will delve into various strategies and best practices for tuning Elasticsearch for time series data, complete with examples and outputs to illustrate the concepts.
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