![]() AUTO (default) Redshift auto update table based on query performance from ALL, EVEN, KEY options. Want to Learn More?ĭownload our white paper on optimizing query performance inside your Amazon Redshift cluster to learn more about optimizing queries with common best practices, designing your Amazon Redshift schema and defining query queues in workload management to increase performance and lower costs. Distribution Styles provided by user per table: (Note: distribution method is run by leader node). Select a distribution style that maintains an even distribution of data while minimizing redistribution as much as possible. Grouped aggregates will always be faster if each group’s rows are collocated. Joins will always be faster if the tables being joined are distributed on the same key, so that all of the rows that need to be joined are collocated. Joins and grouped aggregations will also benefit from planning ahead. Choose a distribution style that ensures each compute node is processing a portion of the work in parallel. The distribution style determines the balance of parallel processing across the compute nodes as well as the amount of redistribution needed for joins and aggregations.Īn even distribution of data on the cluster gives you the most parallel processing power. The leader node will place the rows to same data slice. This is done according to the distribution style you choose for your table. In Redshift KEY distribution, rows are distributed according to the values in one column. When you load data into a table, Amazon Redshift distributes the rows of the table to compute nodes. But because you’re executing complex queries against extremely large datasets - planning ahead will yield big benefits in both performance and cost. Optimizing your Amazon Redshift SchemaĬhartio gives you a lot of leverage over large databases stored in Amazon Redshift. For example, Amazon Redshift might convert a table with a DISTSTYLE of AUTO(KEY) to AUTO(EVEN), or vice versa. Download our Amazon Redshift white paper below. If Amazon Redshift determines that a new distribution style or key will improve the performance of queries, then Amazon Redshift might change the distribution style or key of your table in the future. In preparation for AWS Re:Invent, we’ll be posting weekly with our tips for optimizing queries, optimizing your Amazon Redshift schema, and workload management.
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