Parsing CLOB Containing Nested JSON in Oracle скачать в хорошем качестве

Parsing CLOB Containing Nested JSON in Oracle

Learn how to efficiently parse and insert JSON data from a CLOB variable into Oracle tables using the JSON_TABLE function, with step-by-step instructions and examples. --- This video is based on the question https://stackoverflow.com/q/77005187/ asked by the user 'virtual transfer' ( https://stackoverflow.com/u/5319649/ ) and on the answer https://stackoverflow.com/a/77005384/ provided by the user 'Connor McDonald' ( https://stackoverflow.com/u/7367293/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Parsing CLOB containing nested JSON using Oracle's JSON_TABLE clause Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Unlocking the Power of JSON in Oracle with Nested Structures JSON has become a standard for data interchange, and many databases, including Oracle, now support JSON data manipulation directly. However, parsing nested JSON structures can sometimes be tricky, especially for those new to Oracle's JSON capabilities. In this blog, we will explore how to parse a CLOB containing nested JSON data and insert it into an Oracle table using the powerful JSON_TABLE function. Understanding the Problem Suppose you have JSON data stored in a CLOB variable, which we will refer to as p_clob. The JSON structure contains a nested array called receivablesInvoiceLines. The challenge lies in the need to insert multiple rows into an Oracle table based on this nested JSON array. Sample JSON Structure Here’s an example of what the JSON data in our CLOB variable looks like: [[See Video to Reveal this Text or Code Snippet]] The Solution: Using JSON_TABLE for Nested JSON To handle the nested JSON, we will utilize the JSON_TABLE function, which allows us to project JSON data into relational format. Let’s break down the solution into clear steps. Step 1: Create the Target Table First, you need a table where you will insert the data. Here’s a simple structure for a table called dump_Data: [[See Video to Reveal this Text or Code Snippet]] Make sure the table structure aligns with the data you're planning to insert, including fields for nested items. Step 2: Insert Data into the Table With the table ready, the insert query will leverage the JSON_TABLE function to extract data from the nested JSON. Here’s how to structure your insert command: [[See Video to Reveal this Text or Code Snippet]] Key Points: The first part of the FROM clause extracts the top level fields (like CustomerTransactionId and DueDate). The NESTED PATH clause is crucial as it details how to handle the nested array of receivablesInvoiceLines. Step 3: Verify the Data Insertion After running the insert command, you can verify that the data is correctly inserted by querying the dump_Data table: [[See Video to Reveal this Text or Code Snippet]] Conclusion Parsing nested JSON structures in Oracle using the JSON_TABLE function is not only powerful but also straightforward once you understand how to structure your queries. With the steps outlined above, you can efficiently handle complex JSON data in your applications, allowing you to leverage Oracle’s robust JSON capabilities. Happy querying!