Trino TOO_MANY_REQUESTS

What is Trino TOO_MANY_REQUESTS

Understanding Trino: A Powerful SQL Query Engine

Trino, formerly known as PrestoSQL, is an open-source distributed SQL query engine designed to query large datasets across various data sources. It is optimized for fast analytical queries and is widely used for big data analytics. Trino allows users to perform interactive queries on data stored in Hadoop, AWS S3, Google Cloud Storage, and other data sources.

Identifying the Symptom: TOO_MANY_REQUESTS

When using Trino, you might encounter the error code TOO_MANY_REQUESTS. This error indicates that the system is overwhelmed by the number of incoming requests, leading to performance degradation or failure to process queries.

Exploring the Issue: What Causes TOO_MANY_REQUESTS?

The TOO_MANY_REQUESTS error occurs when Trino receives more requests than it can handle efficiently. This can be due to a high volume of concurrent queries, insufficient system resources, or misconfigured settings that limit the system's capacity to manage requests.

Common Scenarios Leading to the Error

High concurrency of queries from multiple users or applications. Limited hardware resources such as CPU, memory, or network bandwidth. Improper configuration of Trino's resource management settings.

Steps to Fix the TOO_MANY_REQUESTS Issue

To resolve the TOO_MANY_REQUESTS error, consider the following steps:

1. Throttle the Request Rate

Implement rate limiting to control the number of requests sent to Trino. This can be achieved by:

Using a load balancer to distribute requests evenly across multiple Trino nodes. Configuring client applications to limit the frequency of requests.

2. Increase System Capacity

Enhance the system's ability to handle more requests by:

Scaling up the hardware resources, such as adding more CPU and memory to the Trino nodes. Scaling out by adding more Trino nodes to the cluster.

3. Optimize Trino Configuration

Adjust Trino's configuration settings to better manage resources:

Modify the query.max-concurrent-queries setting to increase the number of concurrent queries allowed. Tune the query.max-memory and query.max-memory-per-node settings to allocate more memory for query processing.

Additional Resources

For more information on optimizing Trino and handling high request loads, consider visiting the following resources:

Trino Official Documentation Trino Blog Trino GitHub Repository

By following these steps and utilizing the resources provided, you can effectively manage and resolve the TOO_MANY_REQUESTS error in Trino, ensuring smooth and efficient query processing.