- 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)
- 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
- Search and Analysis (Metric Topic)
- 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
- 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
- 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)
- 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
- Search and Analysis (Metric Topic)
- 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
- 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
Use Case
Tom has collected logs to CLS. The logs contain information such as the log time, log level, log content, task ID, process name, and host IP, and the information is separated by two vertical bars (||). Now Tom wants to structure the log to facilitate subsequent indexing and dashboard display. He also wants to distribute the logs to three different target log topics according to three log levels (ERROR, WARNING, and INFO) for subsequent analysis. Tom also wants the logs whose content contains the team B is working keywords to be filtered out (discarded)**.
Scenario Analysis
According to Tom's requirements, the processing ideas are as follows:
1. Filter out (discard) logs that contain the team B is working keywords and place the discarded logs up front to reduce subsequent computation.
2. Structure logs based on the separator of two vertical bars (||).
3. Log distribution: Distribute the logs to three different target log topics according to three log levels (ERROR, WARNING, and INFO).
Note:
To distribute logs to multiple target log topics, you need to define the target names of the log topics when creating the data processing task. The target names will be used in the log_output("Target name") functions.
Raw Log
[{"message": "2021-12-09 11:34:28.279||team A is working||INFO||605c643e29e4||BIN--COMPILE||192.168.1.1"},{"message": "2021-12-09 11:35:28.279||team A is working ||WARNING||615c643e22e4||BIN--Java||192.168.1.1"},{"message": "2021-12-09 11:36:28.279||team A is working ||ERROR||635c643e22e4||BIN--Go||192.168.1.1"},{"message": "2021-12-09 11:37:28.279||team B is working||WARNING||665c643e22e4||BIN--Python||192.168.1.1"}]
DSL Processing Function
log_drop(regex_match(v("message"),regex="team B is working",full=False))ext_sepstr("message","time,log,loglevel,taskId,ProcessName,ip",sep="\\|\\|")fields_drop("message")t_switch(regex_match(v("loglevel"),regex="INFO",full=True),log_output("info_log"),regex_match(v("loglevel"),regex="WARNING",full=True),log_output("warning_log"),regex_match(v("loglevel"),regex="ERROR",full=True),log_output("error_log"))
DSL Processing Function Details
1. Discard logs that contain the team B is working keywords. The fourth log contains the team B is working keywords and needs to be discarded.
log_drop(regex_match(v("message"),regex="team B is working",full=False))
2. Extract structured data based on the separator of two vertical bars (||).
ext_sepstr("message","time,log,loglevel,taskId,ProcessName,ip",sep="\\|\\|")
3. Discard the message field.
fields_drop("message")
4. According to the value of the loglevel field, INFO, WARNING, and ERROR logs will be distributed to different target log topics.
t_switch(regex_match(v("loglevel"),regex="INFO",full=True),log_output("info_log"),regex_match(v("loglevel"),regex="WARNING",full=True),log_output("warning_log"),regex_match(v("loglevel"),regex="ERROR",full=True),log_output("error_log"))
Processing Result
Note:
Target log topics and target names must be configured in advance.
The following log is distributed to info_log (Data processing-target 3). See the mappings between target names and log topics in the figure above.
{"ProcessName":"BIN--COMPILE","ip":"192.168.1.1","log":"team A is working","loglevel":"INFO","taskId":"605c643e29e4","time":"2021-12-09 11:34:28.279"}
The following log is distributed to warning_log (Data processing-target 2).
{"ProcessName":"BIN--COMPILE","ip":"192.168.1.1","log":"team A is working","loglevel":"INFO","taskId":"605c643e29e4","time":"2021-12-09 11:34:28.279"}
The following log is distributed to error_log (Data processing-target 1).
{"ProcessName":"BIN--Go","ip":"192.168.1.1","log":"team A is working ","loglevel":"ERROR","taskId":"635c643e22e4","time":"2021-12-09 11:36:28.279"}
Ya
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