Bigquery json extract example12/12/2023 Here’s an example with a slightly larger JSON document. You can specify more than one path in order to return data from multiple places within the JSON document.īasic example: SELECT JSON_EXTRACT('', '$', '$') AS 'Result' I followed Google Big Query documentation on working with JSON strings, and here is how far I got: SELECT jsonschema, JSONEXTRACT(jsonschema, '.schema.properties'), JSONEXTRACT(jsonschema, '.schema. Chronicle Security Operations Detect, investigate, and respond to cyber threats. SELECT JSON_EXTRACT(']', '$') AS 'Result' I know how to do this when key is explicitly stated in JSON, but in this example key is not explicitly stated. Extract signals from your security telemetry to find threats instantly. This time we return a value from a nested array. SELECT JSON_EXTRACT('', '$') AS 'Result' Īrrays use zero-based numbering, so in this case, the third element is replaced. You’ll also get a NULL value if any of the arguments are NULL. SELECT JSON_EXTRACT('', '$.Gender') AS 'Result' If it is possible that those arguments could return multiple values, the matched values are autowrapped as an array, in the order corresponding to the paths that produced them. Where json_doc is the JSON document and path is the path to the value to return. For example, if we were adding 12 to 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12. The syntax goes like this: JSON_EXTRACT(json_doc, path. You can also provide multiple paths to return data from multiple places in the document. You provide the JSON document as the first argument, followed by the path of the data to return. The actual data returned is determined by the path you provide as an argument. In MySQL, the JSON_EXTRACT() function returns data from a JSON document.
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