Hi friend, I am continuing my post over my series article "Is it time to revisit PostgreSQL and MySQL with JSON support" . Today I am sharing my 4th post which is related to "Changes in RDBMS after JSON"
JSON bring changes on various vendors and technologies so new kind of challenges came to introducing this feature in their technology. To cover-up these challenge RDBMS started inclusion of JSON data type in their engine. Sooner or later all major RDBMS vendor (eg PostgreSQL, mySQL and SQL Server) added JSON as a data type to keeping document in relational table. These are the database version when JASON introduced :-
.
Now a new heterogeneous database kind of structure started creating with relational engine. Static and dynamic data structure in RDBMS started introducing. Mean Relational Table =Normalization + denormalized (JSON/Array). JSON data Passing done via standard java functions. Several new sql constructor and function introduced to facilitate to facilitate json.
JSON bring changes on various vendors and technologies so new kind of challenges came to introducing this feature in their technology. To cover-up these challenge RDBMS started inclusion of JSON data type in their engine. Sooner or later all major RDBMS vendor (eg PostgreSQL, mySQL and SQL Server) added JSON as a data type to keeping document in relational table. These are the database version when JASON introduced :-
.
Technology | Postgres | mySQL | SQL Server |
Version | PostgreSQL 9.3 | MySQL 5.7.8 | SQL 2016 |
Now a new heterogeneous database kind of structure started creating with relational engine. Static and dynamic data structure in RDBMS started introducing. Mean Relational Table =Normalization + denormalized (JSON/Array). JSON data Passing done via standard java functions. Several new sql constructor and function introduced to facilitate to facilitate json.
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