- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Logging in to Clusters
- Cluster Scale-Out
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- Releasing Now
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- Log
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- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
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- Alarm Configurations
- Alarm Records
- EMR on TKE Operation Guide
- EMR Serverless HBase Operation Guide
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
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- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Practical Tutorial
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
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- Kerberos Development Guide
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- Druid Development Guide
- TensorFlow Development Guide
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- Kafka Development Guide
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- StarRocks Development Guide
- Flink Development Guide
- Hadoop Development Guide
- Practical Tutorial
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Logging in to Clusters
- Cluster Scale-Out
- Cluster Scale-in
- Releasing Now
- Auto Scaling
- Graceful Scale-In
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Disk Management
- Managing Service
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Java Analysis
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- EMR on TKE Operation Guide
- EMR Serverless HBase Operation Guide
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Practical Tutorial
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- Hadoop Development Guide
- Practical Tutorial
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
Storing Kafka Data in HDFS or COS Through Flume
Last updated: 2025-02-12 16:42:49
Scenario Description
Collecting and saving the data in Kafka to HDFS or COS via Flume
Development Preparations
This task requires access to CKafka, so you need to create a CKafka instance first. For more information, see Message Queue CKafka.
Create an EMR cluster. When creating the EMR cluster, you need to select the Flume component on the software configuration page and enable access to COS on the basic configuration page.
Using the Kafka Toolkit in the EMR Cluster
First, you need to check the private IP and port number of CKafka. Log in to the CKafka console, select the CKafka instance you want to use, and find the private IP (
$kafkaIP) and port number (generally 9092) in the basic information section. Create a topic named kafka_test on the topic management page.Configuring Flume
1. Create a Flume configuration file
kafka.properties.vim kafka.propertiesagent.sources = kafka_sourceagent.channels = mem_channelagent.sinks = hdfs_sink# The following is for source configuration.agent.sources.kafka_source.type = org.apache.flume.source.kafka.KafkaSourceagent.sources.kafka_source.channels = mem_channelagent.sources.kafka_source.batchSize = 5000agent.sources.kafka_source.kafka.bootstrap.servers = $kafkaIP:9092agent.sources.kafka_source.kafka.topics = kafka_test# The following is for sink configuration.agent.sinks.hdfs_sink.type = hdfsagent.sinks.hdfs_sink.channel = mem_channelagent.sinks.hdfs_sink.hdfs.path = /data/flume/kafka/%Y%m%d (or cosn://bucket/xxx)agent.sinks.hdfs_sink.hdfs.rollSize = 0agent.sinks.hdfs_sink.hdfs.rollCount = 0agent.sinks.hdfs_sink.hdfs.rollInterval = 3600agent.sinks.hdfs_sink.hdfs.threadsPoolSize = 30agent.sinks.hdfs_sink.hdfs.fileType=DataStreamagent.sinks.hdfs_sink.hdfs.useLocalTimeStamp=trueagent.sinks.hdfs_sink.hdfs.writeFormat=Text# The following is for channel configuration.agent.channels.mem_channel.type = memoryagent.channels.mem_channel.capacity = 100000agent.channels.mem_channel.transactionCapacity = 10000
2. Run Flume.
./bin/flume-ng agent --conf ./conf/ -f kafka.properties -n agent -Dflume.root.logger=INFO,console
3. Run Kafka producer.
[hadoop@172 kafka]$ ./bin/kafka-console-producer.sh --broker-list $kafkaIP:9092 --topic kafka_testtesthello
Testing
Enter information on the Kafka producer client and press Enter.
Check whether the corresponding directory and file
hadoop fs -ls /data/flume/kafka/ have been generated in HDFS.
Yes
No
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