Environment diff tool for dbt
Project description
recce
recce
is a environment diff tool for dbt
Features
- Support both Web UI & CLI
- Multiple diff tools, including lineage diff, schema diff, and query diff. And more in the future.
- Use the dbt-core adapter framework to connect to your data warehouse. No additional configuration required.
Use cases
- During development, we can verify new results by contrasting them with those from production prior to pushing the changes.
- While reviewing PR, you can grasp the extent of the changes and their impact before merge.
- For troubleshooting, you can execute ad-hoc diff queries to pinpoint the root causes.
Usage
Prerequisites
You have to have at least two environments in your dbt project. For example, one is for developing and another is for production. You can prepare two targets with separate schemas in you dbt profile. Here is profiles.yml
example
jaffle_shop:
target: dev
outputs:
dev:
type: duckdb
path: jaffle_shop.duckdb
schema: dev
prod:
type: duckdb
path: jaffle_shop.duckdb
schema: main
Getting Started
-
Installation
pip install recce
-
Recce use dbt artifacts to interact with your dbt project. You need to prepare the artifacts for the base environment.
# transform the data to data warehouse dbt run --target prod # generate the catalog.json dbt docs generate --target prod
The artifacts are generated within the
target/
directory. Copy these artifacts into thetarget-base/
directory as the base state to diff.mkdir -p target-base/ cp -R target/ target-base/
-
Develop your awesome features
# transform the data to data warehouse dbt run # generate the catalog.json dbt docs generate
-
Run the recce server
recce server
and open the url link
-
Check the lineage diff to see the modified node. Click one node to see the schema difference.
-
Switch to query tab, Write and run a query diff. It would query on the both side and diff the query results.
select * from {{ ref("mymodel") }}
where
ref
is a Jinja function to reference a model name.
Query Diff
You can run query diff in both Web UI and CLI
-
Web UI: Go to Query tab
select * from {{ ref("mymodel") }}
-
CLI:
recce diff --sql 'select * from {{ ref("mymodel") }}'
Primay key
In the query diff, primary key columns serve as the fundamental identifiers for distinguishing each record uniquely across both sides.
-
Web UI: In the query result, click the key icons in the column headers to toggle if it is in the primary key list.
-
CLI: Use the option
--primary-keys
to specify the primary keys. Use comma to separate the columns if it is a compound key.recce diff --primary-keys event_id --sql 'select * from {{ ref("events") }} order by 1'
Q&A
Q: How recce
connect to my data warehouse? Does recce support my data warehouse?
recce
use the dbt adapter to connect to your warehouse. So it should work for your data warehouse.
Q: What credential does recce
connect to the two environments?
Recce uses the same target in the profile to connect your warehouse. If you use the default target dev
, it use the credentials to connect to both environments. So please make sure that the credential able to access both environments.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file recce-nightly-0.1.0.20231128.tar.gz
.
File metadata
- Download URL: recce-nightly-0.1.0.20231128.tar.gz
- Upload date:
- Size: 589.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 95cbec356e23113e232d67a705845c3d244c8429fc27024aa73157eebbdd37af |
|
MD5 | f9bcabbb00a50e5cd8f91092f5739508 |
|
BLAKE2b-256 | db5d154041e707264aa75846d61096270b750c9d081ffe0466b166ff13307264 |
File details
Details for the file recce_nightly-0.1.0.20231128-py3-none-any.whl
.
File metadata
- Download URL: recce_nightly-0.1.0.20231128-py3-none-any.whl
- Upload date:
- Size: 597.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de03d2ab8ec2f89bd1afd3a61ba5ebd6af014183f30e95b8dbbfa56d67785a3b |
|
MD5 | da04a83283762c9e4138ca325ccf2ba1 |
|
BLAKE2b-256 | b2dc08b109f470833dc119c243749573114c6ecbb47c33f30080cb67b3d2e007 |