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Add missing concepts to the docs (#157)
This was the last missing peace to complete docs, hence I removed the "in progress" warning. Of course, we will keep improving them and addressing feedback, but I believe we can consider them complete.
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* [Command line reference](#command-line-reference) | ||
* [Operations reference](#operations-reference) | ||
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:warning: This section is under development. | ||
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## Concepts | ||
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`pgroll` introduces a few concepts that are important to understand before using the tool. | ||
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### Migration workflow | ||
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`pgroll` migrations are applied in two steps, following an [expand/contract pattern](https://openpracticelibrary.com/practice/expand-and-contract-pattern/). | ||
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![migration flow](img/[email protected]) | ||
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During the migration start phase, `pgroll` will perform only additive changes to the database schema. This includes: creating new tables, adding new columns, and creating new indexes. In the cases were a required change is not backwards compatible, `pgroll` will take the necessary steps to ensure that the current schema is still valid. For example, if a new column is added to a table with a `NOT NULL` constraint, `pgroll` will backfill the new column with a default value. | ||
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After a successful migration start, the database will contain two versions of the schema: the old version and the new version. The old version of the schema is still available to client applications. This allows client applications to be updated to use the new version of the schema without any downtime. | ||
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Once all client applications have been updated to use the latest version of the schema, the complete phase can be run. During the complete phase `pgroll` will perform all non-additive changes to the database schema. This includes: dropping tables, dropping columns, and dropping indexes. Effectively breaking the old version of the schema. | ||
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### Multiple schema versions | ||
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`pgroll` maintains multiple versions of the database schema side-by-side. This is achieved by creating a new Postgres schema for each migration that is applied to the database. The schema will contain views on the underlying tables. These views are used to expose different tables or columns to client applications depending on which version of the schema they are configured to use. | ||
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For instance, a rename column migration will create a new schema containing a view on the underlying table with the new column name. This allows for the new version of the schema to become available without breaking existing client applications that are still using the old name. In the migration complete phase, the old schema is dropped and the actual column is renamed (views are updated to point to the new column name automatically). | ||
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![multiple schema versions](img/[email protected]) | ||
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For other more complex changes, like adding a `NOT NULL` constraint to a column, `pgroll` will duplicate the affected column and backfill it with the values from the old one. For some time the old & new columns will coexist in the same table. This allows for the new version of the schema to expose the column that fulfils the constraint, while the old version still uses the old column. `pgroll` will take care of copying the values from the old column to the new one, and vice versa, as needed, both by executing the backfill or installing triggers to keep the columns in sync during updates. | ||
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### Client applications | ||
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In order to work with the multiple versioned schema that `pgroll` creates, clients need to be configured to work with one of them. | ||
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