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Use BigQuery flex slots to provide on-demand burst capacity. These flex slots help you when there’s a period of high demand or when you want to complete an important analysis.
BigQuery Slot Analysis
During the execution of a query, BigQuery automatically determines how many slots are used by the query. The number of slots used depends on the amount of data being processed, the complexity of the query, and the number of slots available.
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Google BigQuery Flex Slots were introduced by Google back in 2020. This pricing option lets users buy BigQuery slots for short amounts of time, beginning with 60-second intervals.
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A BigQuery slot is a virtual compute unit used by BigQuery to execute SQL queries or other job types. During the execution of a query, BigQuery automatically determines how many slots are used by the query.
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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.
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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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Users may access flat-rate pricing by purchasing BigQuery slots, essentially virtual CPUs used by BigQuery to execute SQL queries.
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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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Annual Flat-rate Pricing: In this Google BigQuery pricing model you buy slots for the whole year but you are billed monthly.
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The pricing structure of BigQuery reflects this design.
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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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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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A slot in BigQuery is logically equivalent to 0.5 vCPU and 0.5GB of RAM. There are multiple models to allocate slots in BigQuery.