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SQL Database removes the compromise and helps you maximize your resource utilization and manage thousands of databases as one while ensuring one-customer-per-database with elastic pools.
For data-centric services, in-memory support provides instant scale to existing applications with few to no changes outside of the database.” If you’re a software as a service (Saa S) app developer writing a multitenant app that serves many customers, you often have to make tradeoffs in customer performance, efficiencies, and security.
Take advantage of built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection.
SQL Database uses built-in intelligence that learns your unique database patterns and automatically tunes the database for improved performance and protection.
Otherwise, it would go something like this: Start with an initial database schema script, and give it a version number, such as -- use me to keep track of what version the database schema is using: create table schema_version ( name text primary key ); create table contact ( id bigserial primary key, first_name text not null ); insert into schema_version values ('0.0.0001'); You will probably need to read the documentation for your particular database, as they often have slightly different ALTER syntax.
You would then have a non-sql script (bash perhaps), that would check which schema version the database is using and apply any available patches that are greater than that version, or the first sql script if there is no schema_version table.