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Liu, Siying 591a41e089 LTS UMN 20240130 version. 
Reviewed-by: Mützel, Andrea <andrea.muetzel@t-systems.com>
Co-authored-by: Liu, Siying <liusiying@noreply.gitea.eco.tsi-dev.otc-service.com>
Co-committed-by: Liu, Siying <liusiying@noreply.gitea.eco.tsi-dev.otc-service.com>
2024-11-07 13:06:21 +00:00

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Overview

Log data can be structured or unstructured. Structured data is quantitative data or can be defined by unified data models. It has a fixed length and format. Unstructured data has no pre-defined data models and cannot be fit into two-dimensional tables of databases.

During log structuring, logs with fixed or similar formats are extracted from a log stream based on your defined structuring method and irrelevant logs are filtered out.

Log structuring parsing is a process of converting log data from unstructured or semi-structured to structured for better storage, query, and analysis, improving log data readability, searchability, and query efficiency.

Precautions

  • Log structuring is performed on a per-log-stream basis.
  • Log structuring is recommended when most logs in a log stream share a similar pattern.
  • After the structuring configuration is modified, the modification takes effect only for newly written log data.