Presto is an open-source distributed SQL query engine designed for running interactive analytic queries against data sources of all sizes. It is optimized for low-latency, high-throughput queries, making it a popular choice for big data analytics. Presto can query data where it lives, including Hive, Cassandra, relational databases, or even proprietary data stores.
When running queries in Presto, you might encounter the error code DISK_SPACE_EXCEEDED. This error indicates that the query execution requires more disk space than is currently available on the system. This can halt query execution and affect the performance of your Presto cluster.
The DISK_SPACE_EXCEEDED error typically arises when a query is too large or complex, requiring more temporary disk space than is available. This can happen if the query involves large datasets, complex joins, or extensive aggregations that exceed the disk space allocated for Presto's temporary storage.
To resolve the DISK_SPACE_EXCEEDED error, consider the following steps:
Ensure that there is sufficient disk space available for Presto's operations. You can do this by:
Review and optimize your query to reduce its resource requirements:
Modify Presto's configuration to better handle large queries:
query.max-memory and query.max-memory-per-node settings in the config.properties file.By understanding the root cause of the DISK_SPACE_EXCEEDED error and taking the appropriate steps to address it, you can ensure smoother query execution and better performance in your Presto environment. Regularly monitoring disk usage and optimizing queries are key practices to prevent this issue from recurring.
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