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- 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
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- 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
This document describes how to split topic partitions in the CLS console. CLS provides two operation modes: auto-split and manual split. In order to reduce the read/write restrictions due to traffic surges, we recommend that you enable auto-split.
Overview
When a log topic is created, an initial number of partitions is set, which can be modified subsequently through partition split or merge based on the actual needs. As a single topic partition limits write requests (up to 500 requests/sec) and write traffic (up to 5 MB/sec), if your service requests exceed the upper limit of a single partition, you can increase the throughput of the log topic by splitting the partition so as to avoid write failures.
Directions
Auto-split
Note:
After the auto-split feature is enabled, CLS will automatically split a log topic into partitions (up to 50) when the write requests or write traffic exceed the capacity of the log topic.
If the number of partitions of a log topic has reached the set maximum value, CLS will no longer trigger auto-split, and the excessive partitions will be rejected with an error code returned.
1. Log in to the CLS console.
2. On the left sidebar, click Log Topic to enter the log topic list page.
3. Find the target log topic and click Edit in the Operation column.
4. In the pop-up window, set Partition Auto-Split to 
50).5. Click OK.
Manual split
1. Log in to the CLS console.
2. On the left sidebar, click Log Topic to enter the log topic list page.
3. Find the target log topic and click its ID/name to enter the Basic Info page.
4. In the Topic Partition Management section, find the target topic partition and click Edit.
5. In the pop-up window, select Split as the Operation and set the Partition Quantity as shown below:
Note:
Each partition has a left-closed-right-open range. Even split is used by default.
6. Click OK.
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