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Update 2022-09-14-json-datatype.md
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website/blog/2022-09-14-json-datatype.md

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title: Designing and Using JSON in Databend
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title: Designing and Querying JSON in Databend
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description: JSON
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slug: json-datatypes
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date: 2022-09-14
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- To speed up the parsing and reduce memory usage, Databend stores the JSON data as JSONB in binary format and uses the built-in j_entry structure to hold data type and offset position of each element.
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- Adding virtual columns to speed up the queries. Databend extracts the frequently queried fields and the fields of the same data type and stores them as separate virtual columns. Data will be directly read from the virtual columns when querying, which makes Databend achieve the same performance as querying other basic data types.
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- Adding virtual columns to speed up the queries. Databend extracts the frequently queried fields and the fields of the same data type and stores them as separate virtual columns. Data will be directly read from the virtual columns when querying, which makes Databend achieve the same performance as querying other basic data types.

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