How can we scale our database when we have different products of different types?
Database Scaling Solutions
- Cache Database Queries. Caching database queries is one of the simplest improvements you can make to handle database load.
- Database Indexes.
- Session Storage.
- Master Slave Replication.
- Database Sharding.
What is scalability in a database?
Database scalability is the ability to scale out or scale up a database to allow it to hold increasing amounts of data without sacrificing performance. Many relational databases (RDBMS) such as Oracle 12c, MySQL, Postgres or Microsoft SQL Server were designed to run on a single server.
What happens when data is split into related tables?
Each of these tables describe data related to a particular student, and many of the tables replicate the same data. When the same data is replicated across multiple tables, there can be interesting consequences. For example, what if a student’s email changed? Which tables would we need to change?
How is replicated table implemented in SQL pool?
SQL pool implements a replicated table by maintaining a master version of the table. It copies the master version to the first distribution database on each Compute node. When there is a change, the master version is updated first, then the tables on each Compute node are rebuilt.
Why is it slower to rebuild a replicated table?
Rebuilding frequently can cause slower performance. The SQL pool is scaled frequently. Scaling a SQL pool changes the number of Compute nodes, which incurs rebuilding the replicated table. The table has a large number of columns, but data operations typically access only a small number of columns.
What happens if replication is disabled in SQL Server?
If the publication database fails over from the principal to the mirror and the mirroring relationship is subsequently disabled or removed, replication agents will not function against the mirror. If the principal is permanently lost, disable and then reconfigure replication with the mirror specified as the Publisher.