Trino, formerly known as PrestoSQL, is a distributed SQL query engine designed to query large datasets across various data sources. It is highly efficient for running interactive analytic queries against data sources of all sizes. Trino is widely used in big data environments for its ability to handle complex queries with high performance.
When running queries in Trino, you might encounter an OUT_OF_MEMORY error. This error typically manifests when a query requires more memory than is available, causing the query to fail. Users may notice this error in the query logs or the Trino web UI.
The OUT_OF_MEMORY error in Trino occurs when the memory allocated to the query is insufficient to complete its execution. This can happen due to several reasons, such as inefficient query design, large data volumes, or insufficient memory configuration in the Trino cluster.
To resolve the OUT_OF_MEMORY error, you can take several approaches, including optimizing your query and adjusting the memory settings in Trino.
config.properties file of your Trino installation.query.max-memory and query.max-memory-per-node settings.For more detailed guidance on configuring memory settings, refer to the Trino Deployment Guide.
By optimizing your queries and adjusting memory settings, you can effectively resolve the OUT_OF_MEMORY error in Trino. Regular monitoring and tuning of your Trino environment will help maintain optimal performance and prevent similar issues in the future.
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