dbt-iomete
The dbt-iomete package contains all the code enabling dbt to work with iomete.
This adapter is forked from the dbt-spark
Getting started
Installation
pip install dbt-iomete
Alternatively, you can install the package from GitHub with:
pip install "git+https://github.com/iomete/iomete-integrations.git#subdirectory=dbt-iomete"
Profile Setup
iomete:
target: dev
outputs:
dev:
type: iomete
host: <host>
port: 443
https: true # or http
dataplane: <iomete_dataplane>
domain: <iomete_domain>
lakehouse: <serverless_lakehouse_name>
catalog: <catalog_name>
schema: <database_name>
user: "{{ env_var('DBT_IOMETE_USER_NAME') }}"
token: "{{ env_var('DBT_IOMETE_TOKEN') }}"
# optional: parallelism for listing relations in a schema (default 100)
list_relations_threads: 100
list_relations_threads controls how many relations dbt describes in parallel when it
lists a schema (via describe extended). It is independent of the global threads
setting used to build models, so you can keep threads low while still listing schemas
with many tables quickly. It defaults to 100; lower it if the data plane is under load,
or omit it entirely to use the default.
For more information, consult the docs.
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