Snowflake Plugin for Flyte
Run Snowflake SQL queries as Flyte tasks with parameterized inputs, key-pair authentication, batch inserts, and DataFrame support.
Installation
pip install flyteplugins-snowflake
Quick start
from flyteplugins.snowflake import Snowflake, SnowflakeConfig
import flyte
config = SnowflakeConfig(
account="myorg-myaccount",
user="flyte_user",
database="ANALYTICS",
schema="PUBLIC",
warehouse="COMPUTE_WH",
)
query = Snowflake(
name="count_users",
query_template="SELECT COUNT(*) FROM users",
plugin_config=config,
snowflake_private_key="snowflake-pk",
)
Authentication
The plugin supports Snowflake key-pair authentication. Pass secret keys via snowflake_private_key (and optionally snowflake_private_key_passphrase).
task = Snowflake(
name="my_task",
query_template="SELECT 1",
plugin_config=config,
snowflake_private_key="private-key",
snowflake_private_key_passphrase="passphrase",
# Generates env vars: PRIVATE_KEY, PASSPHRASE
)
For other auth methods (password, OAuth, etc.), pass them via connection_kwargs:
config = SnowflakeConfig(
account="myorg-myaccount",
user="flyte_user",
database="ANALYTICS",
schema="PUBLIC",
warehouse="COMPUTE_WH",
connection_kwargs={"password": "...", "role": "ADMIN"},
)
Parameterized queries
Use %(name)s placeholders and typed inputs:
lookup = Snowflake(
name="lookup_user",
query_template="SELECT * FROM users WHERE id = %(user_id)s",
plugin_config=config,
inputs={"user_id": int},
output_dataframe_type=pd.DataFrame,
snowflake_private_key="snowflake-pk",
)
Batch inserts
Set batch=True to expand list inputs into multi-row VALUES clauses:
insert_rows = Snowflake(
name="insert_users",
query_template="INSERT INTO users (id, name, age) VALUES (%(id)s, %(name)s, %(age)s)",
plugin_config=config,
inputs={"id": list[int], "name": list[str], "age": list[int]},
snowflake_private_key="snowflake-pk",
batch=True,
)
# Calling with id=[1,2], name=["Alice","Bob"], age=[30,25] expands to:
# INSERT INTO users (id, name, age) VALUES (%(id_0)s, %(name_0)s, %(age_0)s), (%(id_1)s, %(name_1)s, %(age_1)s)
Reading results as DataFrames
Set output_dataframe_type to get query results as a pandas DataFrame:
import pandas as pd
select_task = Snowflake(
name="get_users",
query_template="SELECT * FROM users",
plugin_config=config,
output_dataframe_type=pd.DataFrame,
snowflake_private_key="snowflake-pk",
)
Full example
import pandas as pd
from flyteplugins.snowflake import Snowflake, SnowflakeConfig
import flyte
config = SnowflakeConfig(
user="KEVIN",
account="PWGJLTH-XKB21544",
database="FLYTE",
schema="PUBLIC",
warehouse="COMPUTE_WH",
)
insert_task = Snowflake(
name="insert_rows",
inputs={"id": list[int], "name": list[str], "age": list[int]},
plugin_config=config,
query_template="INSERT INTO FLYTE.PUBLIC.TEST (ID, NAME, AGE) VALUES (%(id)s, %(name)s, %(age)s)",
snowflake_private_key="snowflake",
batch=True,
)
select_task = Snowflake(
name="select_all",
output_dataframe_type=pd.DataFrame,
plugin_config=config,
query_template="SELECT * FROM FLYTE.PUBLIC.TEST",
snowflake_private_key="snowflake",
)
snowflake_env = flyte.TaskEnvironment.from_task("snowflake_env", insert_task, select_task)
env = flyte.TaskEnvironment(
name="example_env",
image=flyte.Image.from_debian_base().with_pip_packages("flyteplugins-snowflake"),
secrets=[flyte.Secret(key="snowflake", as_env_var="SNOWFLAKE_PRIVATE_KEY")],
depends_on=[snowflake_env],
)
@env.task
async def main(ids: list[int], names: list[str], ages: list[int]) -> float:
await insert_task(id=ids, name=names, age=ages)
df = await select_task()
return df["AGE"].mean().item()
if __name__ == "__main__":
flyte.init_from_config()
run = flyte.with_runcontext(mode="remote").run(
main, ids=[123, 456], names=["Kevin", "Alice"], ages=[30, 25],
)
print(run.url)
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file flyteplugins_snowflake-2.5.14-py3-none-any.whl.
File metadata
- Download URL: flyteplugins_snowflake-2.5.14-py3-none-any.whl
- Upload date:
- Size: 11.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2fad14faf0b875a3a396ff20013ca3ad4a5e061dddd0835c2a14b69798fc75c9
|
|
| MD5 |
475a9e22e58f42d58b0caa394c25f6bb
|
|
| BLAKE2b-256 |
155166d69cef2160af28629ba806f21d89b2ea5a4cf3b4b815b733fed5a08e2c
|
