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SI: Implement put operations#67
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| from databricks import sql | ||
| import os | ||
| """ | ||
| Databricks experimentally supports data ingestion of local files via a cloud staging location. | ||
| Ingestion commands will work on DBR >12. And you must include a staging_allowed_local_path kwarg when | ||
| calling sql.connect(). | ||
| Use databricks-sql-connector to PUT files into the staging location where Databricks can access them: | ||
| PUT '/path/to/local/data.csv' INTO 'stage://tmp/some.user@databricks.com/salesdata/september.csv' OVERWRITE | ||
| Files in a staging location can also be retrieved with a GET command | ||
| GET 'stage://tmp/some.user@databricks.com/salesdata/september.csv' TO 'data.csv' | ||
| and deleted with a REMOVE command: | ||
| REMOVE 'stage://tmp/some.user@databricks.com/salesdata/september.csv' | ||
| Ingestion queries are passed to cursor.execute() like any other query. For GET and PUT commands, a local file | ||
| will be read or written. For security, this local file must be contained within, or descended from, a | ||
| staging_allowed_local_path of the connection. | ||
| Additionally, the connection can only manipulate files within the cloud storage location of the authenticated user. | ||
| To run this script: | ||
| 1. Set the INGESTION_USER constant to the account email address of the authenticated user | ||
| 2. Set the FILEPATH constant to the path of a file that will be uploaded (this example assumes its a CSV file) | ||
| 3. Run this file | ||
| Note: staging_allowed_local_path can be either a Pathlike object or a list of Pathlike objects. | ||
| """ | ||
| INGESTION_USER = "some.user@example.com" | ||
| FILEPATH = "example.csv" | ||
| # FILEPATH can be relative to the current directory. | ||
| # Resolve it into an absolute path | ||
| _complete_path = os.path.realpath(FILEPATH) | ||
| if not os.path.exists(_complete_path): | ||
| # It's easiest to save a file in the same directory as this script. But any path to a file will work. | ||
| raise Exception( | ||
| "You need to set FILEPATH in this script to a file that actually exists." | ||
| ) | ||
| # Set staging_allowed_local_path equal to the directory that contains FILEPATH | ||
| staging_allowed_local_path = os.path.split(_complete_path)[0] | ||
| with sql.connect( | ||
| server_hostname=os.getenv("DATABRICKS_SERVER_HOSTNAME"), | ||
| http_path=os.getenv("DATABRICKS_HTTP_PATH"), | ||
| access_token=os.getenv("DATABRICKS_TOKEN"), | ||
| staging_allowed_local_path=staging_allowed_local_path, | ||
| ) as connection: | ||
| with connection.cursor() as cursor: | ||
| # Ingestion commands are executed like any other SQL. | ||
| # Here's a sample PUT query. You can remove OVERWRITE at the end to avoid silently overwriting data. | ||
| query = f"PUT '{_complete_path}' INTO 'stage://tmp/{INGESTION_USER}/pysql_examples/demo.csv' OVERWRITE" | ||
| print(f"Uploading {FILEPATH} to staging location") | ||
| cursor.execute(query) | ||
| print("Upload was successful") | ||
| temp_fp = os.path.realpath("temp.csv") | ||
| # Here's a sample GET query. Note that `temp_fp` must also be contained within, or descended from, | ||
| # the staging_allowed_local_path. | ||
| query = ( | ||
| f"GET 'stage://tmp/{INGESTION_USER}/pysql_examples/demo.csv' TO '{temp_fp}'" | ||
| ) | ||
| print(f"Fetching from staging location into new file called temp.csv") | ||
| cursor.execute(query) | ||
| print("Download was successful") | ||
| # Here's a sample REMOVE query. It cleans up the the demo.csv created in our first query | ||
| query = f"REMOVE 'stage://tmp/{INGESTION_USER}/pysql_examples/demo.csv'" | ||
| print("Removing demo.csv from staging location") | ||
| cursor.execute(query) | ||
| print("Remove was successful") |
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