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Is BigQuery Slot Autoscaling any good?
BigQuery comes in three flavours as far as pricing is concerned: on-demand, flat-rate and the new flex slots pricing models.
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Answer: From Google search: A BigQuery slot is a unit of computational capacity required to execute SQL queries. BigQuery automatically calculates how many slots are required by each query, depending on query size and complexity. More here: Slots | BigQuery | Google Cloud
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For more information, you can read up on how to set up flex slots programmatically or via the BigQuery UI.
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Reservations with slots autoscaling are only available with BigQuery editions.
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Snowflake calculates pricing based on your execution time, while BigQuery calculates pricing based on the virtual CPU slots that were consumed.
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Learn how to use Google Cloud Console for BigQuery to manage and analyze your data effectively. ... Billing for BigQuery slot usage.
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How to use BigQuery Slots
What Are BigQuery Slots? A BigQuery slot is a virtual compute unit that represents computational capacity for executing SQL queries and data processing jobs.
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A BigQuery slot is a virtual CPU used by BigQuery to execute SQL queries. During query execution, BigQuery automatically calculates how many slots a query requires, depending on the query size and…
Solved: Using Flex slots
You can also reserve compute capacity ahead of time in the form of slots, which represent virtual CPUs. The pricing structure of BigQuery reflects this design.
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BigQuery allocates slots based on query requirements, optimizing resource utilization.
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Although, Batch Ingestion of Data in BigQuery is free, you can look at the slots provisioned by BigQuery for this activity.
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Cloud data warehouse BigQuery now offers Flex Slots, so you can buy analytics resources for short amounts of time to scale up and down quickly.
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Note: Slots are used in the project where the query is submitted which can be different from the project where the BigQuery dataset and table is located.
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Check out this BigQuery tutorial in which you’ll discover how to import, export, and query data in BigQuery, how much it costs, what BigQuery ML is, etc.