Databricks connector for Dataframer
Project description
pydataframer-databricks
Databricks connector for Dataframer
Installation
pip install pydataframer-databricks
Usage
from pydataframer_databricks import DatabricksConnector, DatasetType, FileType
databricks_connector = DatabricksConnector(dbutils, scope="dataframer")
Fetch sample data
df = databricks_connector.fetch_sample_data(
num_items_to_select=100,
table_name="catalog.schema.table"
)
Load to table (SINGLE_FILE: CSV, JSON, JSONL)
databricks_connector.load_to_table(
table_name="catalog.schema.generated_samples",
downloaded_zip=downloaded_zip,
dataset_type=DatasetType.SINGLE_FILE,
file_type=FileType.CSV, # or FileType.JSON, FileType.JSONL
)
Load to volume (any dataset type)
databricks_connector.load_to_volume(
volume_path="/Volumes/catalog/schema/volume_name",
downloaded_zip=downloaded_zip,
output_folder="generated_samples", # optional
)
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