12/3/2023 0 Comments Redshift unload to json formatJSON_OBJECTAGG that constructs JSON object as an aggregation of information from SQL table. JSON_OBJECT that constructs JSON objects from explicit name/value pairs. This section describe all built-in function to generate JSON from explicit table data. SQL applications working with JSON data will often need to construct new JSON objects or arrays, either for use within the applications themselves, for storage in the SQL database, or to return to the application itself. Redshift doesn’t support constructing JSON data from SQL tables. This function also allows unnesting of (even deeply) nested JSON objects/arrays in one invocation rather than chaining several JSON_TABLE expressions in the SQL-statement. JSON_TABLE is a function that takes JSON data as input and generates relational data for valid input data. Query functions evaluate SQL/JSON path language expressions against JSON values, producing values of SQL/JSON types, which are converted to SQL types. SQL/JSON functions are partitioned into two groups: constructor functions (JSON_OBJECT, JSON_OBJECT_AGG, JSON_ARRAY, and JSON_ARRAYAGG ) and query functions (JSON_VALUE, JSON_TABLE, JSON_EXISTS, and JSON_QUERY).Ĭonstructor functions use values of SQL types and produce JSON values (JSON objects or JSON arrays) represented in SQL character or binary string types. Here we are discussing features does not support by Redshift described by the 2016 SQL standard. Let’s have a look which of these functions are supported by Redshift. 22 of these extensions are in relation to working with JSON documents inside a database. The ANSI 2016 SQL standard introduced 44 optional extensions. Redshift and the ANSI 2016 SQL JSON extensions This makes it very inconvenient or impossible to convert JSON to a relational structure with tables, rows, and columns.
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