Typical Scenario: Collecting Local Static Logs and Uploading Them to Kafka
Scenario
This section describes how to use Flume client to collect static logs from a local host and save them to the topic list (test1) of Kafka.
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 the Encrypted Transmission. The configuration applies to scenarios where only the Flume is configured, for example, Spooldir Source+Memory Channel+Kafka Sink.
Prerequisites
- The cluster, Kafka, and Flume service have been installed.
- The Flume client has been installed. For details about how to install the client, see Installing the Flume Client on Clusters.
- The network environment of the cluster is secure.
- MRS cluster administrator has understood service requirements and prepared Kafka administrator flume_kafka.
Procedure
- Set Flume parameters.
Use the Flume configuration tool on Manager to configure the Flume role client parameters and generate a configuration file.
- Log in to FusionInsight Manager. Choose Cluster > Services > Flume > Configuration Tool.
Figure 1 Choosing Configuration Tool
- Set Agent Name to client. Select and drag the source, channel, and sink to be used to the GUI on the right, and connect them.
Use SpoolDir Source, Memory Channel, and Kafka Sink.
Figure 2 Example for the Flume configuration tool
- Double-click the source, channel, and sink. Set corresponding configuration parameters by referring to Table 1 based on the actual environment.
- If you want to continue using the properties.propretites file by modifying it, log in to FusionInsight Manager, choose 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.
- Click Export to save the properties.properties configuration file to the local server.
Table 1 Parameters to be modified of the Flume role client Parameter
Description
Example Value
Name
The value must be unique and cannot be left blank.
test
spoolDir
Specifies the directory where the file to be collected resides. This parameter cannot be left blank. The directory needs to exist and have the write, read, and execute permissions on the flume running user.
/srv/BigData/hadoop/data1/zb
trackerDir
Specifies the path for storing the metadata of files collected by Flume.
/srv/BigData/hadoop/data1/tracker
batchSize
Specifies the number of events that Flume sends in a batch (number of data pieces). A larger value indicates higher performance and lower timeliness.
61200
kafka.topics
Specifies the list of subscribed Kafka topics, which are separated by commas (,). This parameter cannot be left blank.
test1
kafka.bootstrap.servers
Specifies the bootstrap IP address and port list of Kafka. The default value is all Kafkabrokers in the Kafka cluster.
192.168.101.10:21007
- Log in to FusionInsight Manager. Choose Cluster > Services > Flume > Configuration Tool.
- Upload the configuration file.
Upload the file exported in 1.d to the Flume client installation directory/fusioninsight-flume-Flume component version number/conf directory of the cluster
- Verify log transmission.
- Log in to the Kafka client.
cd /Client installation directory/Kafka/kafka
kinit flume_kafka (Enter the password.)
- Read data from a Kafka topic.
bin/kafka-console-consumer.sh --topic topic name --bootstrap-server Kafka service IP address of the node where the role instance is located: 21007 --consumer.config config/consumer.properties --from-beginning
The system displays the contents of the file to be collected.
[root@host1 kafka]# bin/kafka-console-consumer.sh --topic test1 --bootstrap-server 192.168.101.10:21007 --consumer.config config/consumer.properties --from-beginning Welcome to flume
- Log in to the Kafka client.
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