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Redshift sortkey and distkey12/6/2023 ![]() ![]() You can use the ANALYZE COMPRESSION command to estimate the potential storage savings and performance impact of compressing a specific column. Evaluate the impact of compression on query performance: Before compressing DISTKEY and SORTKEY columns, it’s essential to evaluate the impact of compression on your query performance.Potential impact on DISTKEY and SORTKEY performance: Compressing DISTKEY and SORTKEY columns can potentially impact the performance of queries that rely on these columns for filtering, joining, or sorting data.īest Practices for Compressing DISTKEY and SORTKEY ColumnsĬonsidering the benefits and trade-offs of compression, here are some best practices for compressing DISTKEY and SORTKEY columns in Redshift:.This can result in increased CPU usage, which may impact the performance of other queries running on your cluster. Increased CPU usage: Compressing and decompressing data requires additional CPU resources.While compression can provide several benefits, there are also some trade-offs to consider: This can help reduce network traffic and improve query performance. Reduced network traffic: When data is compressed, less data needs to be transferred between nodes during query execution. ![]() This can result in improved query performance, especially for large tables with a significant amount of data. Improved query performance: Reading compressed data from disk can be faster than reading uncompressed data, as less data needs to be read from disk. ![]()
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