El contenido no se encuentra disponible en el idioma seleccionado. Estamos trabajando continuamente para agregar más idiomas. Gracias por su apoyo.

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
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
On this page

Using Flume Server to Collect Logs from Kafka to HDFS

Updated on 2024-10-08 GMT+08:00

Scenario

This section describes how to use the Flume server to collect logs from the topic list (test1) of Kafka and save them to the /flume/test directory on HDFS.

This section applies to MRS 3.x or later.

NOTE:

By default, the cluster network environment is secure and the SSL authentication is not enabled during the data transmission process. For details about how to use the encryption mode, see Configuring an Encrypted Flume Data Collection Task. The configuration applies to scenarios where only the Flume is configured, for example, Kafka Source+Memory Channel+HDFS Sink.

Prerequisites

  • The cluster has been installed, including the HDFS, Kafka, and Flume services.
  • The network environment of the cluster is secure.
  • You have created user flume_hdfs and authorized the HDFS directory and data to be operated during log verification.

Procedure

  1. On FusionInsight Manager, choose System > User and choose More > Download Authentication Credential to download the Kerberos certificate file of user flume_hdfs and save it to the local host.

    Figure 1 Downloading the authentication credential

  2. Configure the server parameters of the Flume role.

    Use the Flume configuration tool on FusionInsight Manager to configure the Flume role server parameters and generate a configuration file.
    1. Log in to FusionInsight Manager and choose Cluster > Services. On the page that is displayed, choose Flume. On the displayed page, click the Configuration Tool tab.
      Figure 2 Choosing Configuration Tool
    2. Set Agent Name to server. Select the source, channel, and sink to be used, drag them to the GUI on the right, and connect them.

      For example, use Kafka Source, Memory Channel, and HDFS Sink.

      Figure 3 Example for the Flume configuration tool
    3. Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to Table 1 based on the actual environment.
      NOTE:
      • If you want to continue using the properties.propretites file by modifying it, log in to FusionInsight Manager, choose Cluster > Name of the desired cluster > Services. On the page that is displayed, choose Flume. On the displayed page, click the Configuration Tool tab, click Import, import the file, and modify the configuration items related to non-encrypted transmission.
      • It is recommended that the numbers of Sources, Channels, and Sinks do not exceed 40 during configuration file import. Otherwise, the response time may be very long.
      Table 1 Parameters to be modified for the Flume role server

      Parameter

      Description

      Example Value

      Name

      The value must be unique and cannot be left blank.

      test

      kafka.topics

      Specifies the subscribed Kafka topic list, in which topics are separated by commas (,). This parameter cannot be left blank.

      test1

      kafka.consumer.group.id

      Specifies the data group ID obtained from Kafka. This parameter cannot be left blank.

      flume

      kafka.bootstrap.servers

      Specifies the bootstrap IP address and port list of Kafka. The default value is all Kafka lists in a Kafka cluster. If Kafka has been installed in the cluster and its configurations have been synchronized, this parameter can be left blank.

      192.168.101.10:9092

      batchSize

      Specifies the number of events that Flume sends in a batch (number of data pieces).

      61200

      hdfs.path

      Specifies the HDFS data write directory. This parameter cannot be left blank.

      hdfs://hacluster/flume/test

      hdfs.filePrefix

      Specifies the file name prefix after data is written to HDFS.

      TMP_

      hdfs.batchSize

      Specifies the maximum number of events that can be written to HDFS once.

      61200

      hdfs.kerberosPrincipal

      Specifies the Kerberos authentication user, which is mandatory in security versions. This configuration is required only in security clusters.

      flume_hdfs

      hdfs.kerberosKeytab

      Specifies the keytab file path for Kerberos authentication, which is mandatory in security versions. This configuration is required only in security clusters.

      /opt/test/conf/user.keytab

      NOTE:

      Obtain the user.keytab file from the Kerberos certificate file of the user flume_hdfs. In addition, ensure that the user who installs and runs the Flume client has the read and write permissions on the user.keytab file.

      hdfs.useLocalTimeStamp

      Specifies whether to use the local time. Possible values are true and false.

      true

    4. Click Export to save the properties.properties configuration file to the local.

  3. Upload the configuration file.

    Log in to FusionInsight Manager and choose Cluster > Services > Flume. In the Instances tab, click the Flume role whose configuration file is to be uploaded. On the Instance Configurations page, click Upload File on the right of flume.config.file, select the properties.properties file exported in 2.d.

  1. Verify log transmission.

    1. Log in to FusionInsight Manager as a user who has the management permission on HDFS. For details, see Accessing FusionInsight Manager (MRS 3.x or Later). Choose Cluster > Services > HDFS. On the page that is displayed, click the NameNode(Node name,Active) link next to NameNode WebUI to go to the HDFS web UI. On the displayed page, choose Utilities > Browse the file system.
    2. Check whether the data is generated in the /flume/test directory on the HDFS.
      Figure 4 Checking HDFS directories and files

Utilizamos cookies para mejorar nuestro sitio y tu experiencia. Al continuar navegando en nuestro sitio, tú aceptas nuestra política de cookies. Descubre más

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback