List of Examples
- 1-1 A JSON Object (Representation of a JavaScript Object Literal)
- 2-1 Converting Textual JSON Data to JSON Type On the Fly
- 2-2 Adding Time Zone Information to JSON Data
- 2-3 Using JSON_SERIALIZE To Convert JSON type or BLOB Data To Pretty-Printed Text
- 4-1 Creating a Table with a JSON Type Column
- 4-2 Using IS JSON in a Check Constraint to Ensure Textual JSON Data is Well-Formed
- 4-3 Inserting JSON Data Into a JSON Column
- 5-1 Using IS JSON in a Check Constraint to Ensure Textual JSON Data is Strictly Well-Formed
- 7-1 JDBC Client: Using the LOB Locator Interface To Retrieve JSON BLOB Data
- 7-2 JDBC Client: Using the LOB Locator Interface To Retrieve JSON CLOB Data
- 7-3 ODP.NET Client: Using the LOB Locator Interface To Retrieve JSON BLOB Data
- 7-4 ODP.NET Client: Using the LOB Locator Interface To Retrieve JSON CLOB Data
- 7-5 JDBC Client: Using the LOB Data Interface To Retrieve JSON BLOB Data
- 7-6 JDBC Client: Using the LOB Data Interface To Retrieve JSON CLOB Data
- 7-7 JDBC Client: Reading Full BLOB Content Directly with getBytes
- 7-8 JDBC Client:Reading Full CLOB Content Directly with getString
- 7-9 ODP.NET Client: Reading Full BLOB Content Directly with getBytes
- 7-10 ODP.NET Client: Reading Full CLOB Content Directly with getString
- 8-1 Creating a Partitioned Table Using a JSON Virtual Column
- 11-1 Updating a JSON Column Using JSON_TRANSFORM
- 11-2 Modifying JSON Data On the Fly With JSON_TRANSFORM
- 11-3 Adding a Field Using JSON_TRANSFORM
- 11-4 Removing a Field Using JSON_TRANSFORM
- 11-5 Creating or Replacing a Field Value Using JSON_TRANSFORM
- 11-6 Replacing an Existing Field Value Using JSON_TRANSFORM
- 11-7 Using FORMAT JSON To Set a JSON Boolean Value
- 11-8 Setting an Array Element Using JSON_TRANSFORM
- 11-9 Prepending an Array Element Using JSON_TRANSFORM
- 11-10 Appending an Array Element Using JSON_TRANSFORM
- 12-1 A JSON Merge Patch Document
- 12-2 A Merge-Patched JSON Document
- 12-3 Updating a JSON Column Using JSON_MERGEPATCH
- 12-4 Modifying JSON Data On the Fly With JSON_MERGEPATCH
- 13-1 Creating a Database Directory Object for Purchase Orders
- 13-2 Creating an External Table and Filling It From a JSON Dump File
- 13-3 Creating a Table With a BLOB Column for JSON Data
- 13-4 Copying JSON Data From an External Table To a Database Table
- 14-1 JSON Dot-Notation Query Compared With JSON_VALUE
- 14-2 JSON Dot-Notation Query Compared With JSON_QUERY
- 15-1 Aggregating Values of a Field for Each Document
- 15-2 Aggregating Values of a Field Across All Documents
- 16-1 Using ON MISMATCH Clauses
- 17-1 JSON_EXISTS: Path Expression Without Filter
- 17-2 JSON_EXISTS: Current Item and Scope in Path Expression Filters
- 17-3 JSON_EXISTS: Filter Conditions Depend On the Current Item
- 17-4 JSON_EXISTS: Filter Downscoping
- 17-5 JSON_EXISTS: Path Expression Using Path-Expression exists Condition
- 17-6 JSON_EXISTS Expressed Using JSON_TABLE
- 18-1 JSON_VALUE: Returning a JSON Boolean Value to PL/SQL as BOOLEAN
- 18-2 JSON_VALUE: Returning a JSON Boolean Value to SQL as VARCHAR2
- 18-3 Instantiate a User-Defined Object Instance From JSON Data with JSON_VALUE
- 18-4 Instantiate a Collection Type Instance From JSON Data with JSON_VALUE
- 18-5 JSON_VALUE Expressed Using JSON_TABLE
- 19-1 Selecting JSON Values Using JSON_QUERY
- 19-2 JSON_QUERY Expressed Using JSON_TABLE
- 20-1 Equivalent JSON_TABLE Queries: Simple and Full Syntax
- 20-2 Equivalent: SQL NESTED and JSON_TABLE with LEFT OUTER JOIN
- 20-3 Using SQL NESTED To Expand a Nested Array
- 20-4 Accessing JSON Data Multiple Times to Extract Data
- 20-5 Using JSON_TABLE to Extract Data Without Multiple Parses
- 20-6 Projecting an Entire JSON Array as JSON Data
- 20-7 Projecting Elements of a JSON Array
- 20-8 Projecting Elements of a JSON Array Plus Other Data
- 20-9 JSON_TABLE: Projecting Array Elements Using NESTED
- 20-10 Creating a View Over JSON Data
- 20-11 Creating a Materialized View Over JSON Data
- 21-1 Full-Text Query of JSON Data with JSON_TEXTCONTAINS
- 22-1 Enabling Persistent Support for a JSON Data Guide But Not For Search
- 22-2 Disabling JSON Data-Guide Support For an Existing JSON Search Index
- 22-3 Gathering Statistics on JSON Data Using a JSON Search Index
- 22-4 Specifying Preferred Column Names For Some JSON Fields
- 22-5 Creating a View Using a Hierarchical Data Guide Obtained With JSON_DATAGUIDE
- 22-6 Creating a View That Projects All Scalar Fields
- 22-7 Creating a View That Projects Scalar Fields Targeted By a Path Expression
- 22-8 Creating a View That Projects Scalar Fields Having a Given Frequency
- 22-9 Adding Virtual Columns That Project JSON Fields Using a Data Guide Obtained With JSON_DATAGUIDE
- 22-10 Adding Virtual Columns, Hidden and Visible
- 22-11 Projecting All Scalar Fields Not Under an Array as Virtual Columns
- 22-12 Projecting Scalar Fields With a Minimum Frequency as Virtual Columns
- 22-13 Projecting Scalar Fields With a Minimum Frequency as Hidden Virtual Columns
- 22-14 Dropping Virtual Columns Projected From JSON Fields
- 22-15 Adding Virtual Columns Automatically With Change Trigger ADD_VC
- 22-16 Tracing Data-Guide Updates With a User-Defined Change Trigger
- 22-17 Adding a 2015 Purchase-Order Document
- 22-18 Adding a 2016 Purchase-Order Document
- 22-19 Creating Multiple Data Guides With Aggregate Function JSON_DATAGUIDE
- 22-20 Querying a Data Guide Obtained Using JSON_DATAGUIDE
- 22-21 Querying a Data Guide With Index Data For Paths With Frequency at Least 80%
- 22-22 Flat Data Guide For Purchase Orders
- 22-23 Hierarchical Data Guide For Purchase Orders
- 23-1 Declaring an Input Value To Be JSON
- 23-2 Using Name–Value Pairs with JSON_OBJECT
- 23-3 Using Column Names with JSON_OBJECT
- 23-4 Using a Wildcard (*) with JSON_OBJECT
- 23-5 Using JSON_OBJECT With ABSENT ON NULL
- 23-6 Using a User-Defined Object-Type Instance with JSON_OBJECT
- 23-7 Using JSON_ARRAY to Construct a JSON Array
- 23-8 Using JSON_OBJECTAGG to Construct a JSON Object
- 23-9 Using JSON_ARRAYAGG to Construct a JSON Array
- 25-1 Constructing and Serializing an In-Memory JSON Object
- 25-2 Using Method GET_KEYS() to Obtain a List of Object Fields
- 25-3 Using Method PUT() to Update Parts of JSON Documents
- 26-1 A Table With GeoJSON Data
- 26-2 Selecting a geometry Object From a GeoJSON Feature As an SDO_GEOMETRY Instance
- 26-3 Retrieving Multiple geometry Objects From a GeoJSON Feature As SDO_GEOMETRY
- 26-4 Creating a Spatial Index For Scalar GeoJSON Data
- 26-5 Using GeoJSON Geometry With Spatial Operators
- 26-6 Creating a Materialized View Over GeoJSON Data
- 26-7 Creating a Spatial Index on a Materialized View Over GeoJSON Data
- 28-1 Creating a Bitmap Index for JSON_VALUE
- 28-2 Creating a Function-Based Index for a JSON Field: Dot Notation
- 28-3 Creating a Function-Based Index for a JSON Field: JSON_VALUE
- 28-4 Specifying NULL ON EMPTY for a JSON_VALUE Function-Based Index
- 28-5 Use of a JSON_VALUE Function-Based Index with a JSON_TABLE Query
- 28-6 JSON_EXISTS Query Targeting Field Compared to Literal Number
- 28-7 JSON_EXISTS Query Targeting Field Compared to Variable Value
- 28-8 JSON_EXISTS Query Targeting Field Cast to Number Compared to Variable Value
- 28-9 JSON_EXISTS Query Targeting a Conjunction of Field Comparisons
- 28-10 JSON_VALUE Query with Explicit RETURNING NUMBER
- 28-11 JSON_VALUE Query with Explicit Numerical Conversion
- 28-12 JSON_VALUE Query with Implicit Numerical Conversion
- 28-13 Table PARTS_TAB, for Multivalue Index Examples
- 28-14 Creating a Multivalue Index for JSON_EXISTS
- 28-15 Creating a Composite Multivalue Index for JSON_EXISTS
- 28-16 Creating a Composite Multivalue Index That Can Target Array Positions
- 28-17 JSON_EXISTS Query With Item Method numberOnly()
- 28-18 JSON_EXISTS Query Without Item Method numberOnly()
- 28-19 JSON_EXISTS Query Checking Multiple Fields
- 28-20 JSON_EXISTS Query Checking Array Element Position
- 28-21 Creating a Composite B-tree Index For JSON Object Fields
- 28-22 Querying JSON Data Indexed With a Composite B-tree Index
- 28-23 Creating a JSON Search Index That Is Synchronized On Commit
- 28-24 Creating a JSON Search Index That Is Synchronized Each Second
- 28-25 Execution Plan Indication that a JSON Search Index Is Used
- 28-26 Some Ad Hoc JSON Queries
- 29-1 Populating JSON Data Into the IM Column Store For Ad Hoc Query Support
- 29-2 Populating a JSON Type Column Into the IM Column Store For Full-Text Query Support
- 30-1 Creating a Materialized View of JSON Data To Support Query Rewrite
- 30-2 Creating an Index Over a Materialized View of JSON Data