Kinesis Data Streams - Data Engineering on AWS
Overview
Amazon Kinesis Data Streams is a service that enables real-time processing of streaming data at massive scale. It allows you to continuously ingest and process data records, making it ideal for use cases such as log and event data collection, real-time analytics, and machine learning data preparation.
Key Concepts
Key Concepts and Definitions
- **Stream**: A Kinesis Data Stream is an ordered sequence of data records.
- **Shard**: A uniquely identified sequence of data records in a stream. Each shard has a fixed capacity.
- **Data Record**: The basic unit of data in Kinesis, consisting of a sequence number, partition key, and data blob.
- **Producer**: An application that puts data records into a Kinesis stream.
- **Consumer**: An application that reads data from a Kinesis stream.
Setup
Follow these steps to set up a Kinesis Data Stream:
Note: Each shard can support up to 1,000 PUT records per second or 1 MB of data per second.
Code Example: Putting Data into Kinesis Stream
import boto3
# Create a Kinesis client
kinesis_client = boto3.client('kinesis')
# Put data into a stream
response = kinesis_client.put_record(
StreamName='my-kinesis-stream',
Data='Hello, Kinesis!',
PartitionKey='partitionkey'
)
print("Record added to stream:", response['SequenceNumber'])
Best Practices
When using Kinesis Data Streams, consider the following best practices:
- Monitor your stream's capacity and shard utilization.
- Use the Kinesis Client Library (KCL) for efficient data processing.
- Implement error handling and retries in your producer and consumer applications.
- Optimize your partition key to achieve even data distribution across shards.
FAQ
What is the maximum retention period for data in Kinesis Data Streams?
The maximum retention period is 7 days.
Can I change the number of shards in a stream?
Yes, you can split or merge shards as needed.
How does Kinesis ensure data ordering?
Data is ordered within a shard, and records are processed in the order they are received.
Flowchart: Data Ingestion Process
graph TD;
A[Put Data] --> B{Is Data Valid?};
B -- Yes --> C[Put Record in Kinesis Stream];
B -- No --> D[Log Error];
C --> E[Process Data];