It also uses inheritance where each partition inherits the structure of the parent table and querying the parent table queries all of the partitions.įor a practical example, lets imagine that you are developing an app for colleges and the data lent itself to being partitioned by school. It is different than the traditional sharding model since you partition at the table level instead of the database level. Earlier this year I was introduced to the concept of table partitioning implemented in PostgreSQL. This problem isn’t new and there have been many tools invented to help facilitate sharding. Now you have to find some way to run a query across all of your shards and combine the results in some central location. How are you supposed to keep the data structures in sync across all of those databases? What if you get in a fractured state when an update script fails on 10% of your databases? If that wasn’t bad enough, you start getting requirements to query data across tenants. This may sound initially simple till you realize that you traded your performance problem for a maintenance problem. There are often other factors at play but partitioning can go a long way in improving performance. Then you make copies of the database for each key value or a range of key values and migrate the matching data into each. Often, in a multi-tenant solution, the tenant id is a natural choice. There is a similar concept for databases called partitioning or sharding. When someone gifted me an organizer cabinet with lots of little drawers, I collated them by type and size. When I keep them all in a giant peanut butter jar, finding the right size took forever. This isn’t that different from trying to find nuts, bolts, and washers in my garage. Even tenants that don’t have much data are seeing their performance drag since they are in the same bucket as much larger tenants. This works for a while, but as the number of rows of data build up, you start to notice things slow to a crawl. ![]() ![]() A lot of projects start with a single database where all the data for all tenants is stored in the same table.
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