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- 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
Overview
Type conversion functions provide commonly type conversion features. They can be used to convert field values to the int, float, bool, and Str types.
Function ct_int
Function definition
This function is used to convert a value (whose base can be specified) to a decimal integer.
Syntax description
ct_int(Value 1, base=10)
Parameter description
Parameter | Description | Type | Required | Default Value | Value Range |
data | Numeric value or string that can be converted to a numeric value | number | Yes | - | - |
base | Base | number | No | 10 | [2-36] |
Examples
Example 1
Raw log:
{"field1": "10"}
Processing rule:
fields_set("result", ct_int(v("field1")))
Processing result:
{"result":"10","field1":"10"}
Example 2
Raw log:
{"field1": "AB"}
Processing rule:
fields_set("result", ct_int(v("field1"), 16))
Processing result:
{"result":"171","field1":"AB"}
Function ct_float
Function definition
This function is used to convert a value to a floating-point number.
Syntax description
ct_float(Value)
Parameter description
Parameter | Description | Type | Required | Default Value | Value Range |
data | Numeric value or string that can be converted to a numeric value | number | Yes | - | - |
Examples
Raw log:
{"field1": "123"}
Processing rule:
fields_set("result", ct_float(v("field1")))
Processing result:
{"result":"123.0","field1":"123"}
Function ct_str
Function definition
This function is used to convert a value to a string.
Syntax description
ct_str(Value)
Parameter description
Parameter | Description | Type | Required | Default Value | Value Range |
data | Numeric value or string that can be converted to a numeric value | number | Yes | - | - |
Examples
Raw log:
{"field1": 123}
Processing rule:
fields_set("result", ct_str(v("field1")))
Processing result:
{"result":"123","field1":"123"}
Function ct_bool
Function definition
This function is used to convert a value to a Boolean value.
Syntax description
ct_bool(Value)
Parameter description
Parameter | Description | Type | Required | Default Value | Value Range |
data | Numeric value or string that can be converted to a numeric value | number | Yes | - | - |
Examples
Example 1
Raw log:
{}
Processing rule:
fields_set("result", ct_bool(0))
Processing result:
{"result":"false"}
Example 2
Raw log:
{}
Processing rule:
fields_set("result", ct_bool(1))
Processing result:
{"result":"true"}
Example 3
Raw log:
{"field1": 1}
Processing rule:
fields_set("result", ct_bool(v("field1")))
Processing result:
{"result":"true","field1":"1"}
Yes
No
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