Titlebook: Analytics Optimization with Columnstore Indexes in Microsoft SQL Server; Optimizing OLAP Work Edward Pollack Book 2022 Edward Pollack 2022

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Leadership in the Post-Industrial EraProcessing of rows in SQL Server is traditionally managed one row at a time. For transactional workloads, this is a sensible convention, as row counts for read and write operations are typically small.

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The National and Provincial Building SocietyModifying data within a highly compressed structure is expensive and requires additional processes to manage successfully. Whereas insert operations can benefit from bulk loading to streamline data load processes, delete and update operations require using the delete bitmap and delta store to manage changes to existing data.

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https://doi.org/10.1007/978-3-319-31845-5Depending on its usage, a columnstore index may require no maintenance at all, infrequent maintenance, or regular maintenance to ensure optimal storage, resource consumption, and performance.

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https://doi.org/10.1007/978-3-319-31845-5The ultimate measure of performance for any data structure is the speed in which data can be retrieved. In columnstore indexes, the time required to return data will be a function of two operations:

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Columnstore Index Architecture,A solid understanding of the architecture of columnstore indexes is necessary to make optimal use of them. Best practices, query patterns, maintenance, and troubleshooting are all based on the internal structure of columnstore indexes. This chapter will focus on these architectural components, providing the foundation for the rest of this book.

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Columnstore Metadata,Each compressed segment within a columnstore index not only stores analytic data, but through metadata can describe its contents with more precision than rowstore tables can.