Updating rails application
To solve this problem, for the models which are logically related to a store (the tenant for our app), you should add store_id to the constraints, effectively scoping objects uniquely inside a given store.
This helps add the concept of tenancy to your models, thereby making the multi-tenant system more robust.
In order for that to work, you’ll always need to specify which tenant you are accessing, either by specifying it on a per-request basis: gem to reset the test database between runs, be sure to use the “truncation” strategy rather than “transaction.” We have seen occassional failures during transaction rollbacks in the tests.
The database_cleaner documentation has instructions for changing the cleaning strategy.
In the first part of the guide we learned about what Graph QL is, and created a very first version of the Martian Library application.
This makes it easier to get started with activerecord-multi-tenant.gem and Apollo framework to make sure they play well together and battle-tested this configuration by adding the very first query node to our schema. As we know, there are three basic operations in Graph QL—queries, mutations, and subscriptions.In this article, we’re going to introduce mutations—a data-modification mechanism from Graph QL.For example, Rails creates a primary key by default, that only includes the An exception to this rule might be an email or username column on a users table (unless you give each tenant their own login page), which is why, once you scale out, we typically recommend these to be split out from your distributed tables and placed as a local table on the Citus coordinator node. Include the tenant_id in all queries, even when you can locate an object using its own object_id The easiest way to run a typical SQL query in a distributed system without restrictions is to always access data that lives on a single node, determined by the tenant you are accessing.For this reason, once you use a distributed system like Citus, we recommend you always specify both the tenant_id and an object’s own ID for queries, so the coordinator can locate your data quickly, and can route the query to a single shard - instead of going to each shard in the system individually and asking the shard whether it knows the given object_id.