Niivii commented on PR #2494:
URL: https://github.com/apache/arrow-adbc/pull/2494#issuecomment-2649218925
Hello @zeroshade,
This should do the trick:
```python
import adbc_driver_snowflake.dbapi
import numpy as np
import polars as pl
def main() -> None:
big_df = generate_big_dataframe(num_rows=5000000)
with create_snowflake_connection() as snowflake_connection:
big_df.write_database(table_name="my_table",
connection=snowflake_connection,
if_table_exists="append", engine="adbc")
def generate_big_dataframe(num_rows: int) -> pl.DataFrame:
rng = np.random.default_rng(12345)
data = {
"column_int": rng.integers(low=-10000, high=10000, size=num_rows),
"column_float": rng.random(size=num_rows),
"column_string": rng.choice(["A", "b", "cdefghijkl",
"âozZEzaéXZez"], size=num_rows),
}
return pl.DataFrame(data=data)
def create_snowflake_connection() -> adbc_driver_snowflake.dbapi.Connection:
return adbc_driver_snowflake.dbapi.connect(db_kwargs={
"username": "myusername",
"adbc.snowflake.sql.account": "myaccount",
"adbc.snowflake.sql.auth_type": "auth_ext_browser",
"adbc.snowflake.sql.warehouse": "mywarehouse",
"adbc.snowflake.sql.role": "myrole",
"adbc.snowflake.sql.db": "mydb",
"adbc.snowflake.sql.schema": "myschema",
})
if __name__ == "__main__":
main()
```
python>=3.13
polars>=1.22.0
adbc-driver-snowflake>=1.4.0
pyarrow>=19.0.0
numpy>=2.2.2
Let me know if you can reproduce.
Problem might come from the 'append' method with existing data.
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