<ul><li>Long running vacuums in Redshift can slow down queries significantly, impacting ETL jobs and analytical queries.</li><li>Vacuum is an I/O intensive process that sorts tables and reclaims disk space, affecting other processes.</li><li>Tips to optimize vacuum time include using sortkeys, distkeys, and following specific vacuum strategies.</li><li>Vacuum includes steps like sorting tables and reclaiming disk blocks, crucial for performance.</li><li>Inserting data in sortkey order reduces the need for extensive merging during vacuum.</li><li>Compression encodings like Zstandard provide disk space savings and faster query performance.</li><li>Consider deep copying instead of vacuuming for tables with large unsorted sections.</li><li>Analyze after vacuuming to update query planner stats for improved performance.</li><li>Push vacuum to 99% on large tables with low daily insert volume to optimize performance.</li><li>Keeping tables skinny by removing unused columns can improve vacuum and query performance.</li></ul>

Fixing Your Redshift Vacuum to Optimize your Query Performance

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