- Release Notes and Announcements
- User Guide
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- Operation Guide
- Resource Management
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- Collecting Logs in Self-Built Kubernetes Cluster
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- Statistical Analysis (SQL)
- Quick Analysis
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- 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
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- Sampling Analysis
- Configuring Indexes
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- Function Overview
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- Value Structuring Functions
- Regular Expression Processing Functions
- Time Value Processing Functions
- String Processing Functions
- Type Conversion Functions
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- IP Parsing Functions
- Processing Cases
- Scheduled SQL Analysis
- SCF
- Data Processing
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- Monitoring Alarm
- Historical Documentation
- Best Practices
- Developer Guide
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- Introduction
- API Category
- Making API Requests
- Topic Management APIs
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- Collection Configuration APIs
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- Kafka Protocol Consumption APIs
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- 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
The
WHERE statement is used to extract the logs that meet the specified conditions.Syntax Format
* | SELECT column (KEY) WHERE column (KEY) operator value
The operator can be
=, <>, >, <, >=, <=, BETWEEN, IN, or LIKE.Note:
In SQL, search conditions deliver higher performance than filters. You are advised to use search conditions to meet data filtering requirements. For example, you can use
status:>400 | select count(*) as logCounts instead of * | select count(*) as logCounts where status>400 to get the statistical result faster.The
WHERE statement does not allow the AS clause. For example, if level:* | select level as log_level where log_level='ERROR' is run, an error will be reported because the statement does not comply with the SQL-92 specifications.Syntax Example
Query logs with status code greater than 400 in the log data:
* | SELECT * WHERE status > 400
Query the number of logs whose request method is GET and client IP is 192.168.10.101 in the log data:
* | SELECT count(*) as count WHERE method='GET' and remote_addr='192.168.10.101'
Count the average size of requests with the URL suffix of .mp4:
* | SELECT round(sum(body_bytes_sent) / count(body_bytes_sent), 2) AS avg_size WHERE url like '%.mp4'
Yes
No
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