Book Image

Oracle SQL Developer

By : Susan Harper
Book Image

Oracle SQL Developer

By: Susan Harper

Overview of this book

At times, DBAs support 100s of databases at work. In such scenarios, using a command-line tool like putty adds to the difficulty, while SQL Developer makes the life of a developer, DBA, or DB architect easier by providing a graphical user interface equipped with features that can bolster and enhance the user experience and boost efficiency. Features such as DBA panel, Reports, Data Modeler, and Data Miner are just a few examples of its rich features, and its support for APEX, REST Services, timesten, and third-party database drivers demonstrate its extensibility. You may be a newbie to databases or a seasoned database expert, either way this book will help you understand the database structure and the different types of objects that organize enterprise data in an efficient manner. This book introduces the features of the SQL Developer 4.1 tool in an incremental fashion, starting with installing them, making the database connections, and using the different panels. By sequentially walking through the steps in each chapter, you will quickly master SQL Developer 4.1.
Table of Contents (21 chapters)
Oracle SQL Developer
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
11
Working with Application Express
Index

JSON data type


The growing popularity of JSON data and its easy implementation and use in mobile apps for the GET and POST methods of data transfer prompted Oracle to include the capability in Data Miner, which now provides an easy-to-use JSON Query node. The JSON Query node allows select and aggregate JSON data without entering any SQL commands. The JSON Query node opens, using all of the existing Data Miner features with JSON data. The enhancements include the following:

  • Data Source node:

    • Identifies all the columns containing JSON data by referring to the IS_JSON constraint

    • Generates JSON schema for any selected column that contains JSON data in XML format

    • Imports JSON schema for a given column in XML format

    • Using the JSON schema viewer, the data is displayed

  • Create Table node:

    • Ability to select a column to be typed as JSON

    • Generates JSON schema in the same manner as the data source node

JSON data from a 12c native table can be recreated over to Data Miner via the new JSON Query node. Once the...