Res = list(filter(lambda r:r = 'header1' and all(rt = 'simpletxt' for rt in r), dd))įor your sample data, both of these return the same results as there is only one value in the rich_text list. Go to BigQuery In the query editor, enter the following statement: CREATE TABLE mydataset.table1( id INT64, cart JSON ) Click. SQL/JSON function jsonquery selects one or more values from JSON data and returns a string ( VARCHAR2) that represents the JSON values. Res = list(filter(lambda r:r = 'header1' and any(rt = 'simpletxt' for rt in r), dd)) In the Google Cloud console, go to the BigQuery page. If it can contain many, you will need to change the filter to check that all or any (dependent on your needs) of the sub-type variables are 'simpletxt'. Note the above assumes (as in your sample data) that the rich_text list only contains one item. Res = list(filter(lambda r:r = 'header1' and r = 'simpletxt', dd)) version added: 1.0 jQuery.post ( url, data, success, dataType ) url Type: String A string containing the URL to which the request is sent. ![]() You can also download a sourcemap file for use when debugging with a compressed file. ![]() The uncompressed file is best used during development or debugging the compressed file saves bandwidth and improves performance in production. Assuming your json is in a variable called jstr, you can convert to a dict using json.loads, then use filter to select the sub-dictionaries in results that have 'type' = 'header1' and then the sub-type variable equal to 'simpletxt': dd = json.loads(jstr) jQuery.post ( url, data, success, dataType ) Returns: jqXHR Description: Send data to the server using a HTTP POST request. Downloading jQuery Compressed and uncompressed copies of jQuery files are available.
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