هذه الصفحة غير متوفرة حاليًا بلغتك المحلية. نحن نعمل جاهدين على إضافة المزيد من اللغات. شاكرين تفهمك ودعمك المستمر لنا.

Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Situation Awareness
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
Software Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
Updated on 2023-10-10 GMT+08:00

Setting Parameters for Clients

This section provides recommendations on configuring common parameters for Kafka producers and consumers.

Table 1 Producer parameters

Parameter

Default Value

Recommended Value

Description

acks

1

all (if high reliability mode is selected)

1 (if high throughput mode is selected)

Number of acknowledgments the producer requires the server to return before considering a request complete. This controls the durability of records that are sent. Options:

  • 0: The producer will not wait for any acknowledgment from the server at all. The record will be immediately added to the socket buffer and considered sent. No guarantee can be made that the server has received the record, and the retries configuration will not take effect (as the client generally does not know of any failures). The offset given back for each record will always be set to –1.
  • 1: The leader will write the record to its local log but will respond without waiting until receiving full acknowledgment from all followers.
  • all: The leader will wait for the full set of replicas to acknowledge the record. This is the strongest available guarantee because the record will not be lost even if there is just one replica that works.

retries

0

/

Number of times that the client resends a message. Setting this parameter to a value greater than zero will cause the client to resend any record that failed to be sent.

Note that these retries are no different than those the client perform upon receiving a message sending error. Allowing retries will potentially change the message order. For example, if two messages are sent to the same partition, and the first fails and is retried but the second succeeds, then the second message may appear first.

request.timeout.ms

30000

/

Maximum amount of time the client will wait for the response of a request. If the response is not received before the timeout elapses, the client will throw a timeout exception.

Setting this parameter to a large value, for example, 120000 (120s), can prevent records from failing to be sent in high-concurrency scenarios.

block.on.buffer.full

TRUE

TRUE

Setting this parameter to TRUE indicates that when buffer memory is exhausted, the producer must stop receiving new message records or throw an exception.

By default, this parameter is set to TRUE. However, in some cases, non-blocking usage is desired and it is better to throw an exception immediately. Setting this parameter to FALSE will cause the producer to instead throw "BufferExhaustedException" when buffer memory is exhausted.

batch.size

16384

262144

Default maximum number of bytes of messages that can be processed at a time. The producer will attempt to batch process the message records to reduce the number of requests. This improves the performance between the client and the server. No attempt will be made to batch records larger than this size.

Requests sent to brokers will contain multiple batches, one for each partition with data available to be sent.

A smaller batch size will make batching less common and may reduce throughput (a batch size of zero will disable batching entirely). A larger batch size may use more memory as a buffer of the specified batch size will always be allocated in anticipation of additional records.

buffer.memory

33554432

67108864

Total bytes of memory the producer can use to buffer records waiting to be sent to the server. If the data generation speed is greater than the speed of sending data to the broker, the producer blocks or throws an exception, which is indicated by block.on.buffer.full.

This setting should correspond roughly to the total memory the producer will use, but is not a rigid bound since not all memory the producer uses is used for buffering. Some additional memory will be used for compression (if compression is enabled) as well as for maintaining in-flight requests.

max.request.size

1048576

5242880

Maximum number of message bytes a producer can send to a server at a time. This parameter affects the number of message records produced at a time.

Table 2 Consumer parameters

Parameter

Default Value

Recommended Value

Description

auto.commit.enable

TRUE

FALSE

If this parameter is set to TRUE, the offset of messages already fetched by the consumer will be periodically committed to ZooKeeper. This committed offset will be used when the process fails as the position from which the new consumer will begin.

Constraints: If this parameter is set to FALSE, to avoid message loss, an offset must be committed to ZooKeeper after the messages are successfully consumed.

auto.offset.reset

latest

earliest

Indicates what to do when there is no initial offset in ZooKeeper or if the current offset has been deleted. Options:

earliest: The offset is automatically reset to the smallest offset.

latest: Automatically reset to the largest offset.

none: The system throws an exception to the consumer if no offset is available.

anything else: The system throws an exception to the consumer.

connections.max.idle.ms

600000

30000

Indicates the timeout interval for an idle connection. The server closes the idle connection after this period of time ends. Setting this parameter to 30000 can reduce the server response failures when the network condition is poor.

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more