dlt-firebolt 0.1.2

dlt destination for Firebolt (staged Parquet + COPY INTO)

dlt-firebolt

Community dlt destination for Firebolt.

Load data with filesystem staging (Parquet on S3) and COPY INTO, the same pattern used by dlt's Snowflake and Redshift destinations.

Install

pip install dlt-firebolt

Requires Python 3.10+.

Register the destination once in your project:

import firebolt_dest  # registers destination="firebolt"

Prerequisites

1. Firebolt service account with access to your database and engine.
2. S3 bucket for dlt filesystem staging.
3. Firebolt external location for that bucket prefix:

CREATE LOCATION "your_location_name" WITH
  SOURCE = 'CLOUD_STORAGE'
  URL = 's3://your-bucket/your-prefix/'
  CREDENTIALS = (AWS_ROLE_ARN = 'arn:aws:iam::...:role/...');

Set FIREBOLT_S3_LOCATION_NAME (or s3_location_name in secrets) to the exact location name from CREATE LOCATION.

Quick start

import dlt
import firebolt_dest
from firebolt_dest.configuration import make_firebolt_pipeline

@dlt.resource(name="orders", write_disposition="append")
def orders():
    yield {"order_id": 1, "customer": "Acme"}

pipeline = make_firebolt_pipeline(
    pipeline_name="my_pipeline",
    dataset_name="my_dataset",
)

pipeline.run(orders(), loader_file_format="parquet")

Tables are created as {dataset}_{table} (for example my_dataset_orders).

Using .dlt/secrets.toml

pipeline = make_firebolt_pipeline(
    pipeline_name="my_pipeline",
    dataset_name="my_dataset",
    from_secrets=True,
)

Example secrets file:

[destination.firebolt]
s3_location_name = "your_location_name"
s3_prefix = "dlt-landing"

[destination.firebolt.credentials]
host = "YOUR_DATABASE"
database = "YOUR_ENGINE"
username = "YOUR_CLIENT_ID"
password = "YOUR_CLIENT_SECRET"
account_name = "YOUR_ACCOUNT_NAME"

[destination.filesystem]
bucket_url = "s3://your-bucket/dlt-landing/dlt/staging"

See .dlt/secrets.toml.example in the repository for a full template.

Configuration

Variable	Required	Description
FIREBOLT_CLIENT_ID	yes	Service account client ID
FIREBOLT_CLIENT_SECRET	yes	Service account secret
FIREBOLT_ACCOUNT_NAME	yes	Firebolt account name
FIREBOLT_DATABASE	yes	Target database
FIREBOLT_ENGINE	yes	Engine name
FIREBOLT_S3_LOCATION_NAME	yes	Firebolt external location name (must match CREATE LOCATION)
S3_BUCKET	yes	Staging bucket
S3_PREFIX	no	Key prefix (default: dlt-landing)
DLT_DATASET_NAME	no	Default dataset name (default: demo)

Set credentials via environment variables or .dlt/secrets.toml. Do not commit secrets.

Supported capabilities

Feature	Support
Loader format	Parquet only
Staging	Filesystem (S3) required
append	Yes
replace	truncate-and-insert, insert-from-staging
merge	delete-insert (single-table and nested)
Transactions	Merge follow-up jobs run in an explicit transaction; ordinary loads use autocommit

Development

Clone the repository and install in editable mode with dev dependencies:

git clone https://github.com/firebolt-analytics/dlt-firebolt.git
cd dlt-firebolt
pip install -e ".[dev]"
cp .env.example .env   # fill in Firebolt and S3 credentials
pytest -m "not integration"

Optional live integration tests (requires Firebolt, S3, and AWS credentials):

FIREBOLT_RUN_INTEGRATION=1 pytest -m integration -v

License

Apache License 2.0. See LICENSE.

Status

Community package maintained by Firebolt Analytics. Not part of core dlt.

• Published on PyPI (pip install dlt-firebolt)
• Append, merge, and replace dispositions
• Nested multi-table merge
• Website integration docs
• Optional listing on dlt community destinations page