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- Historical Documentation
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- Introduction
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- Data Types
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- Contact Us
- Glossary
- Release Notes and Announcements
- User Guide
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Resource Management
- Permission Management
- Log Collection
- Collection Overview
- Collecting Logs in Self-Built Kubernetes Cluster
- Collecting Syslog
- Collection by LogListener
- Collecting Text Log
- Uploading Log over Kafka
- Uploading Logs via Anonymous Write
- Uploading Logs via Logback Appender
- Uploading Logs via Log4j Appender
- Uploading Log via SDK
- Uploading Log via API
- Importing Data
- Tencent Cloud Service Log Access
- Metric Collection
- Log Storage
- Metric Storage
- Search and Analysis (Log Topic)
- Overview of Search and Analysis
- Syntax and Rules
- Statistical Analysis (SQL)
- Quick Analysis
- SQL Syntax
- SQL Functions
- String Function
- Date and Time Functions
- IP Geographic Function
- URL Function
- Mathematical Calculation Functions
- Mathematical Statistical Function
- General Aggregate Function
- Geospatial Function
- Binary String Function
- Estimation Function
- Type Conversion Function
- Logical Function
- Operators
- Bitwise Operation
- Regular Expression Function
- Lambda Function
- Conditional Expressions
- Array Functions
- Interval-Valued Comparison and Periodicity-Valued Comparison Functions
- JSON Functions
- Window Functions
- Sampling Analysis
- Configuring Indexes
- Reindexing
- Multi-Topic Search
- Context Search and Analysis
- Custom Redirect
- Downloading Log
- Search and Analysis (Metric Topic)
- Dashboard
- Data Processing documents
- Data Processing
- Data Processing Overview
- Creating Processing Task
- Viewing Data Processing Details
- Data Processing Functions
- Function Overview
- Key-Value Extraction Functions
- Enrichment Functions
- Flow Control
- Row Processing Functions
- Field Processing Functions
- Value Structuring Functions
- Regular Expression Processing Functions
- Time Value Processing Functions
- String Processing Functions
- Type Conversion Functions
- Logical and Mathematical Functions
- Encoding and Decoding Functions
- IP Parsing Functions
- Processing Cases
- Scheduled SQL Analysis
- SCF
- Data Processing
- Shipping and Consumption
- Monitoring Alarm
- Historical Documentation
- Practical Tutorial
- Developer Guide
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Topic Management APIs
- Log Set Management APIs
- Index APIs
- Topic Partition APIs
- Machine Group APIs
- Collection Configuration APIs
- Log APIs
- Metric APIs
- Alarm Policy APIs
- Data Processing APIs
- Kafka Protocol Consumption APIs
- CKafka Shipping Task APIs
- Kafka Data Subscription APIs
- COS Shipping Task APIs
- SCF Delivery Task APIs
- Scheduled SQL Analysis APIs
- COS Data Import Task APIs
- Data Types
- Error Codes
- FAQs
- CLS Service Level Agreement
- CLS Policy
- Contact Us
- Glossary
This document describes how to view the context of a log in the original file in the CLS console.
Overview
Log context search refers to searching for the log’s context, that is, several logs before or after the log itself. This feature allows you to troubleshoot quickly whenever an error occurs.
Advantages
Log context search frees you from the hassles associated with machine logins. On the log search page, you can quickly view the log context of any file/machine.
Knowing the actual error occurrence time, you can specify a time range on the log search page to quickly locate the suspicious log and query its context for troubleshooting.
Storage capacity of the server or data loss caused by log rotation will not be a problem. The data history can be viewed on the log search page anytime.
Prerequisites
Log context search and analysis are available only for version 2.3.5 and above. You are advised to install or upgrade to the latest version.
Context search is supported for only logs collected by LogListener.
You have enabled and configured index. For more information, please see Configuring Index.
Example
The common process of an order is as follows: log in > browse merchandise > select merchandise> add merchandise to the shopping cart > place an order > pay for the order > make a deduction > generate the order.
Use case: if one of the orders of a user fails, you can query the error log using the order number. Then, locate the log’s context to find out the cause (for example, order deduction failed).
You can troubleshoot in CLS as follows:
1. Log in to the CLS console and go to the Search and Analysis page. Then, specify a time range based on the error occurrence time and enter the keyword (order number) to locate the error log of the order.
2. Scroll up/down based on the error log until you locate the desired context of the log.
Directions
1. Log in to the CLS console.
2. On the left sidebar, click Log Search to go to the Search and Analysis page.
3. Select the Region, Logset, and Log Topic as needed.
4. On the Raw Data tab, find the time of the error log and click 
5. On the context search and analysis page, 10 logs before and after the error log will be displayed.
On this page, you can:
Scroll up/down to view the context.
Click Show Earlier to page up. Up to 20 previous logs can be displayed at a time.
Click Show More to page down. Up to 20 later logs can be displayed at a time.
Enter the keyword in the Highlight text box to fill the keyword in yellow.
Enter a string in the Filter Logs text box to highlight the string.
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