![]() Redistribution can involve different tasks. It also determines where the blocks of data need to be in order to efficiently run the query.ĭata is then physically moved, or redistributed, while the query runs. This plan interprets the query to determine an estimate of the time and resources needed for processing. When data is loaded into a table, Amazon Redshift distributes the rows of the table to each of the node slices according to the table's distribution style.īefore running a query, the Redshift creates a query plan on the leader node. The number of slices per node depends on the node size of the cluster. The disk storage for a compute node is divided into slices. The leader node takes the responses from the compute nodes, combines them as needed, and returns the results to the client that made the request. Once complete, they send the results back to the leader node. The compute nodes provide resources to execute queries. It is impossible to communicate, directly, with the compute nodes. It also manages communication between client applications and the compute nodes.Ĭlient applications only interact with the leader node. This node manages the distribution of data and query processing tasks to the compute nodes. If there are two or more compute nodes in the cluster, Redshift creates a Leader node. An Amazon Redshift cluster is a set of one or more compute nodes.Įach node in the cluster has its own operating system, dedicated memory, and dedicated disk storage.
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