tencent cloud

TDMQ for CKafka

Release Notes and Announcements
Release Notes
Broker Release Notes
Announcement
Product Introduction
Introduction and Selection of the TDMQ Product Series
What Is TDMQ for CKafka
Strengths
Scenarios
Technology Architecture
Product Series Introduction
Apache Kafka Version Support Description
Comparison with Apache Kafka
High Availability
Use Limits
Regions and AZs
Related Cloud Services
Billing
Billing Overview
Pricing
Billing Example
Changing from Postpaid by Hour to Monthly Subscription
Renewal
Viewing Consumption Details
Overdue Payments
Refund
Getting Started
Guide for Getting Started
Preparations
VPC Network Access
Public Domain Name Access
User Guide
Usage Process Guide
Configuring Account Permission
Creating Instance
Configuring Topic
Connecting Instance
Managing Messages
Managing Consumer Group
Managing Instance
Changing Instance Specification
Configuring Traffic Throttling
Configuring Elastic Scaling Policy
Configuring Advanced Features
Viewing Monitoring Data and Configuring Alarm Rules
Synchronizing Data Using CKafka Connector
Use Cases
Cluster Resource Assessment
Client Practical Tutorial
Log Integration
Open-Source Ecosystem Integration
Replacing Supporting Route (Old)
Migration Guide
Migration Solution Overview
Migrating Cluster Using Open-Source Tool
Troubleshooting
Topics
Clients
Messages
​​API Reference
History
Introduction
API Category
Making API Requests
Other APIs
ACL APIs
Instance APIs
Routing APIs
DataHub APIs
Topic APIs
Data Types
Error Codes
SDK Reference
SDK Overview
Java SDK
Python SDK
Go SDK
PHP SDK
C++ SDK
Node.js SDK
SDK for Connector
Security and Compliance
Permission Management
Network Security
Deletion Protection
Event Record
CloudAudit
FAQs
Instances
Topics
Consumer Groups
Client-Related
Network-Related
Monitoring
Messages
Agreements
CKafka Service Level Agreements
Contact Us
Glossary

Filter Rules

PDF
聚焦模式
字号
最后更新时间: 2026-01-20 17:02:41
Filters can perform rule-based filtering on data, such as filtering by field size. Only data that meets the rules will be retained.

Must-Knows

Filters perform character-by-character exact matching, and it is important to note case sensitivity. During the matching process, no standardization is performed on the strings.
Values to be matched follow JSON rules: quoted strings, digits, and unquoted keywords true, false, and null.

Matching by Prefix

Key-value matching is performed by comparing prefixes in the data.
Take the data {"password":"topicname"} for example. If you specify the prefix matching value for password as top, then {"password":"topicname"} can be matched successfully.

Matching by Suffix

Key-value matching is performed by comparing suffixes in the data.
Take the data {"password":"topicname"} for example. If you specify the suffix matching value for password as name, then {"password":"topicname"} can be matched successfully.

Matching by Contains

Matching is performed by specifying an existing field in the data.
Take the data {"password":"topicname"} for example. If you specify the contains matching value for password as na, then {"password":"topicname"} can be matched successfully.

Matching by Exclusion

Matching is performed by specifying a field with any value except the provided one.
Take the data {"password":"topicname"} for example. If you specify the exclusion matching value for password as topicname, then only {"password":"topicname"} cannot be matched successfully.

Matching by Value

Matching is performed by specifying the value or range of a field.
Take the data { "numeric": 10} for example. If you specify the matching value for numeric as <15, then { "numeric": 10} can be matched successfully.
Note:
To specify that the value is greater than 10, input: >10.
To specify that the value is greater than or equal to 10, input: >=10.
To specify that the value is greater than or equal to 10 and less than or equal to 20, input: >=10&<=20.
To specify that the value is greater than or equal to 10 or less than or equal to 5, input: >=10|<=5.

Matching by IP Address

Matching is performed by specifying the IP address of a field in the data.
The input content is a classless inter-domain routing (CIDR) address. For example, if you input 1.2.3.4/24, all IP addresses starting with 1.2.3. in the first 24 bits will be matched.

Matching by Filtering Out NULL Data

Matching is performed by filtering out data where the field value is NULL.
If this rule is enabled, the system will check whether the value of the specified field is NULL.
If the field value is NULL, the data record will be filtered out and will not be processed or stored.


帮助和支持

本页内容是否解决了您的问题?

填写满意度调查问卷,共创更好文档体验。

文档反馈