A notable difference is that json_serialize accepts additional parameters to control the output format. However, this should also be possible with json_query. The new function json_serialize is, according to the documentation, useful for converting binary documents into its JSON text representation. As I find the shortened json_table syntax to be harming to the clarity of the statement, I’ll just point you toward the documentation instead of showing an example. Release 19c introduced new JSON functions and an abbreviated syntax for the json_table function. 0 BigQuery Db2 (LUW) MariaDB MySQL Oracle DB PostgreSQL SQL Server SQLite json_object(*) json_object() json_array() json_value(…RETURNING ) New JSON Functions See: Documentation.Īs the standard doesn’t describe these functions, they are marked grey in the following matrix. The reverse mapping is provided by the json_value function, which now accepts user-defined types in the returning clause. For that, json_object and json_array accept user defined types as arguments and create JSON objects with all attributes of that type. The second extensions provides a mapping between user-defined SQL object types ( create type ) and JSON objects. It is also possible to qualify the asterisk with a table name and list additional columns: json_object(t1.*, t2.column). Json_object(*) will thus create a JSON object with one attribute for each column. The first is about the json_object function: it now accepts expressions with an asterisk ( *) similar to the select clause. The first type of these JSON extensions are proprietary extensions to SQL standard functions that were already supported in earlier releases. Most new SQL features in version 19c are related to JSON.
ORACLE 12C JSON QUERY EXAMPLE PATCH
In the old numbering scheme, this release would just be a patch release, so it is no surprise that this release is “ focused on fixing known issues, rather than adding new functionality”.
ORACLE 12C JSON QUERY EXAMPLE DOWNLOAD
type.The first on-premises download of the Oracle Database 19c became available in April 2019. Because of SQL/JSON path-expression syntax relaxation. Note that if path expression $. were used in Example 16-1 it would give the same result. For the document in Example 4-2 the phone types are "Office" and "Mobile", and the array returned is either or. For each document it returns a VARCHAR2 value whose contents represent a JSON array with elements the phone types, in an unspecified order. The error clause for json_query can specify EMPTY ON ERROR, which means that an empty array ( ) is returned in case of error (no error is raised).Įxample 16-1 shows an example of the use of SQL/JSON function json_query with an array wrapper. The wrapper clause determines the form of the returned string value. Keywords FORMAT JSON are not needed (or available) for json_query - JSON formatting is implicit for the return value. For example, an ASCII TAB character (Unicode character CHARACTER TABULATION, U+0009) is escaped as \t. This includes ensuring that non-ASCII characters in string values are escaped as needed. ( VARCHAR2 is the default.) The value returned always contains well-formed JSON data. A BLOB result is in the A元2UTF8 character set. In the RETURNING clause you can specify data type VARCHAR2, CLOB, or BLOB.
The path expression can target any number of JSON values. The second argument to json_query is a SQL/JSON path expression followed by optional clauses RETURNING, WRAPPER, ON ERROR, and ON EMPTY.
The result of evaluating the SQL expression is used as the context item for evaluating the path expression. It can be a table or view column value, a PL/SQL variable, or a bind variable with proper casting. It can be of data type VARCHAR2, CLOB, or BLOB. The first argument to json_query is a SQL expression that returns an instance of a scalar SQL data type (that is, not an object or collection data type).
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