Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost
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This article discusses how to use Trino, an open-source SQL query engine, in Amazon EMR to run resilient and cost-effective big data queries using Amazon EC2 Spot Instances.
Specifically, the article covers:
- Overview of Trino architecture and its parallel execution model
- Benefits of using EC2 Spot Instances for cost savings and faster query performance with Trino
- Fault-tolerant configuration of Trino in Amazon EMR to mitigate task failures due to Spot interruptions
- Step-by-step guide to create an EMR cluster with Trino, configure fault tolerance, and simulate Spot interruptions using AWS Fault Injection Simulator
- Demonstration of Trino's resilience against Spot interruptions and faster query performance by adding more Spot workers
- Conclusion highlighting the benefits of running resilient and cost-effective big data queries on Trino with Spot Instances
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