![]() Now, re-write the previously used query with the json_value function. json_query function returns an array of objects or a JSON document.json_value function returns a scalar value.To work with json_value and json_query, first get familiar with the JSON path and the SQL/JSON path expression These functions also support returning the data types – you could not do it with the dot-notation query. For instance, they can return NULL or an error if the JSON format is incorrect or does not match specific queries. they are suitable for more complicated queries. The behavior of json_value and json_query functions is different from the dot notation approach. Option 2: Using SQL/PL Functions JSON VALUE and JSON QUERY T.TWEET.possibly_sensitive "possibly_sensitive",Ĭheck the structure of the STG_TWEET_DOT_NOTATION table: T.TWEET.display_text_range "display_text_range", Try the same query and insert parsed data into a new table: CREATE TABLE STG_TWEET_DOT_NOTATION You need to know the JSON structure clearly and understand which levels, elements, or attributes to access. After that, navigate to the tweet.js file and upload it.Īs you see, the dot notation approach is quite straightforward. In the top-left corner, click the hamburger icon and navigate to SQL. Then save the tweet.js file and access SQL Developer Web with the DEMO user. In the context of that file, you will see a part of the JSON data including the following row:īefore importing the JSON data into Autonomous, we need to remove that row from the context of the tweet.js file. ![]() The data files are located in the data folder.įind the tweet.js file in the data folder and open it with any Text Editor, such as Notepad. The detailed instruction is provided in the previous article, but let us briefly recall what to do.ĭownload and unzip the archived file – you will see two folders there: assets and data. But before we start to explore it, we need to edit that dataset for the SQL Developer Web to parse the data appropriately. So, please make sure that you have that file with the data in JSON format. We are going to reuse it for the scenarios in the current article. You might need to refer to that article again to refresh your knowledge and re-download the dataset. ![]() The previous part provided you with the information and the sample Twitter dataset to download. You can use SQL/JSON functions json_value, json_query to build complicated query or use dot-notation to access your JSON data. So, does it mean you can’t deal with the data you need properly? Fortunately, there is an alternative. Thus, it won’t support parsing complicated JSON structures. It only allows you to parse the first level of the JSON data. However, SQL Developer Web has its limitations. In the previous article, we worked on the Twitter Activity dataset in JSON format with the SQL Developer Web tool in Autonomous Database. ![]()
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