- 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
- Log Storage
- 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
- Context Search and Analysis
- Downloading Log
- Dashboard
- Data Processing documents
- Data Processing
- 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
- Best Practices
- 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
- 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
- Log Storage
- 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
- Context Search and Analysis
- Downloading Log
- Dashboard
- Data Processing documents
- Data Processing
- 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
- Best Practices
- 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
Use Case
Tom has collected a log to CLS. The log does not use a fixed separator and is in single-line text format. Now Tom wants to structuralize the log and extract the log time, log level, operation, and URL information from the text for subsequent search and analysis.
Scenario Analysis
According to Tom's requirements, the processing ideas are as follows:1.The content in {...} is the detailed information of operations and can be extracted with a regular expression.2. Use a regular expression to extract the log time, log level, and URL.
Raw Log
{"content": "[2021-11-24 11:11:08,232][328495eb-b562-478f-9d5d-3bf7e][INFO] curl -H 'Host: ' http://abc.com:8080/pc/api -d {\\"version\\": \\"1.0\\",\\"user\\": \\"CGW\\",\\"password\\": \\"123\\",\\"interface\\": {\\"Name\\": \\"ListDetail\\",\\"para\\": {\\"owner\\": \\"1253\\",\\"orderField\\": \\"createTime\\"}}}"}
DSL Processing Function
fields_set("Action",regex_select(v("content"),regex="\\{[^\\}]+\\}",index=0,group=0))fields_set("loglevel",regex_select(v("content"),regex="\\[[A-Z]{4}\\]",index=0,group=0)).fields_set("logtime",regex_select(v("content"),regex="\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2},\\d{3}",index=0,group=0))fields_set("Url",regex_select(v("content"),regex="([a-z]{3}).([a-z]{3}):([0-9]{4})",index=0,group=0))fields_drop("content")
DSL Processing Function Details
1. Create a field named Action and use the regular expression {[^}]+} to match {...}.
fields_set("Action",regex_select(v("content"),regex="\\{[^\\}]+\\}",index=0,group=0))
2. Create a field named loglevel and use the regular expression [A-Z]{4} to match INFO.
fields_set("loglevel",regex_select(v("content"),regex="\\[[A-Z]{4}\\]",index=0,group=0)).
3. Create a field named logtime and use the regular expression d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2},\\d{3} to match 2021-11-24 11:11:08.
fields_set("logtime",regex_select(v("content"),regex="\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2},\\d{3}",index=0,group=0))
4. Create a field named Url, use the regular expression [a-z]{3}.[a-z]{3} to match abc.com, and use [0-9]{4} to match 8080.
fields_set("Url",regex_select(v("content"),regex="([a-z]{3}).([a-z]{3}):([0-9]{4})",index=0,group=0))
5. Discard the content field.
fields_drop("content")
Processing Result
{"Action":"{\\"version\\": \\"1.0\\",\\"user\\": \\"CGW\\",\\"password\\": \\"123\\",\\"interface\\": {\\"Name\\": \\"ListDetail\\",\\"para\\": {\\"owner\\": \\"1253\\",\\"orderField\\": \\"createTime\\"}","Url":"abc.com:8080","loglevel":"[INFO]","logtime":"2021-11-24 11:11:08,232"}
はい
いいえ
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