Data processing uses Amazon Kinesis Client Library for Java in the Java class library for data processing
Data processing uses Amazon Kinesis Client Library for Java in the Java class library for data processing
Amazon Kinesis is a real -time data stream processing service provided by Amazon. Kinesis Client Library for Java is the official Java class library provided by its official, which aims to simplify the processing of Kinesis data stream.
Use Amazon Kinesis Client Library in Java for data processing. You need to follow the steps below:
1. Create Kinesis data stream:
First, you need to create a KineSis data stream on the AWS console.When created, related parameters such as the number of partitions and data retention can be specified.
2. Import dependencies:
In the Java project, you need to add the following dependencies to `pom.xml`:
<dependency>
<groupId>software.amazon.kinesis</groupId>
<artifactId>amazon-kinesis-client</artifactId>
<version>2.x.x</version>
</dependency>
Please replace the version of the latest Kinesis Client Library version.
3. Write data processing logic:
Create a Java class to implement `soundware.amazon.kinesis.processor.oldProcessor` interface, and implement the following methods:
import software.amazon.kinesis.processor.RecordProcessor;
import software.amazon.kinesis.processor.RecordProcessorCheckpointer;
import software.amazon.kinesis.processor.ShutdownReason;
import software.amazon.kinesis.lifecycle.events.InitializationInput;
import software.amazon.kinesis.lifecycle.events.ProcessRecordsInput;
import software.amazon.kinesis.lifecycle.events.RecordProcessorCheckpointer;
import software.amazon.kinesis.lifecycle.events.ShutdownRequestedInput;
public class MyRecordProcessor implements RecordProcessor {
@Override
public void initialize(InitializationInput initializationInput) {
// Data processor initialization logic
}
@Override
public void processRecords(ProcessRecordsInput processRecordsInput) {
// Process the receiving record logic
}
@Override
public void shutdown(ShutdownRequestedInput shutdownRequestedInput) {
// Treatment Close request logic
}
}
In the `initialize` method, you can perform the initialization of data processors, such as establishing a database connection.
In the `processRecords` method, you can obtain the received records through the` ProcessRecordsinPut` parameter and perform corresponding processing.
In the `slutdown` method, you can perform the processing of closing the request, such as closing the database connection.
4. Start Kinesis data processing:
At the entry point of the application, you can create a Kinesis data processor and start the data processing process.The example is as follows:
import software.amazon.kinesis.coordinator.Coordinator;
import software.amazon.kinesis.coordinator.Scheduler;
import software.amazon.kinesis.metrics.NullMetricsFactory;
import software.amazon.kinesis.processor.RecordProcessorFactory;
import software.amazon.kinesis.processor.ShardRecordProcessorFactory;
import software.amazon.kinesis.retrieval.KinesisClientRecord;
import software.amazon.kinesis.retrieval.polling.PollingConfig;
import software.amazon.kinesis.retrieval.polling.PollingConfigBuilder;
public class KinesisDataProcessor {
public static void main(String[] args) {
String streamName = "your-kinesis-stream-name";
String applicationName = "your-application-name";
String region = "your-aws-region"; // 比如"us-west-2"
ShardRecordProcessorFactory recordProcessorFactory = () -> new MyRecordProcessor();
RecordProcessorFactory recordProcessorFactory = new RecordProcessorFactory() {
@Override
public RecordProcessor createProcessor() {
return new MyRecordProcessor();
}
};
PollingConfig pollingConfig = new PollingConfigBuilder()
.maxRecords(1000)
.idleMillis(1000)
.build();
Coordinator coordinator = new Scheduler(
recordProcessorFactory,
streamName,
new NullMetricsFactory(),
new KinesisClientRecord(streamName, region),
pollingConfig
);
coordinator.run();
}
}
In an example, you need to fill in the name of the KineSis data stream, the name of the application, and the AWS area.
Use the `RecordProcessorFactory` to create a data processor instance and set the corresponding` StreamName` and `Region`.
`POLLINGCONFIG` is used to configure the data inquiry option to read data from the Kinesis data stream, such as the maximum number of records and free time each time.
Finally, create an instance of `Coordinator`, use the parameters such as` RecordProcessorFactory`, `StreamName`,` Region` and `Pollingconfig`, and then call the` run` method to start the data processing process.
Through the above steps, you can use Amazon Kinesis Client Library in the Java library for data processing.You can customize the logic of processing logic according to actual needs to achieve real -time processing of Kinesis data streams.