First version of distributed materialization #15
Closed
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
NOTE: lightly tested (though successfully). Need help from community.
Made two materializations: distributed_table for distributed version of table models and distributed_incremental for incremental models.
The main idea is to make local tables on cluster with engine and parameters from config in model's sql file within a distributed table "looking" on these local tables. So when referencing model with distributed materialization dbt will make insert into distributed table and select from distributed table. Sharding key is also to be set on model's config.
Main flow described in comments distributed_incremental.sql