基于Splunk Rex命令实现异常过滤、错误码统计及后续信息提取的技术需求

Here's a complete Splunk query that addresses all your requirements:

<your_base_search>
| search "Limoc Input : Exception occurred: " \d+
| rex "Limoc Input : Exception occurred: (?<error_code>\d+) (?<error_details>.+)"
| stats count as occurrence_count by error_code, error_details
| table error_code error_details occurrence_count

Breakdown of each component: #

• Base Search: Replace <your_base_search> with your actual index, sourcetype, or time range filters (e.g., index=your_index sourcetype=your_sourcetype earliest=-24h).
• Filter Step: The search command uses a regex to target logs matching the pattern "Limoc Input : Exception occurred: " followed by any numeric error code (covers 100, 101, and all similar numeric error formats).
• Field Extraction: The rex command captures two key fields:
  • error_code: The numeric code immediately after the exception message.
  • error_details: All text following the error code (e.g., "COMPRESS 'success' EEEE08EE.ERROR-TEXT(1) null").
• Count Aggregation: stats count as occurrence_count groups results by both error_code and error_details to count how many times each unique error scenario occurs.
• Output Formatting: table arranges the results in your desired order: error code, associated details, and occurrence count.

Example Output: #

Running this against your sample logs will produce a table like:

(Counts will update automatically based on how many times each error appears in your dataset.)

内容的提问来源于stack exchange，提问作者Diksha