Databricks SQL Warehouse - Upload File to Table

Overview

Quickly upload a file from Platform to a SQL table in Databricks.

Recommended Setup

This should be used immediately after downloading data from another source. Although they are not required in order to connect, it is recommended that you provide the Catalog and the Schema that you will query. By not doing so, the connection will resort to the defaults and the uploaded table will reside there.

The recommended approach is to provide the volume where the uploaded file will be staged, then copied into the target table. Platform will remove the staged file after successfully copying into the target. It is also recommended to use one volume per schema, though this is not strictly enforced. If the volume provided does not exist, Platform will create it.

Additionally the match type selected greatly affects how this Blueprint works.

Note This blueprint cannot upload a file from your local machine.

Variables

Name	Reference	Type	Required	Default	Options	Description
Access Token	DATABRICKS_SQL_ACCESS_TOKEN	Password	✅	-	-	The access token generated in Databricks for programatic access
Databricks Server Host	DATABRICKS_SQL_SERVER_HOST	Alphanumeric	✅	-	-	The URL address of the SQL warehouse
Warehouse HTTP Path	DATABRICKS_SQL_HTTP_PATH	Alphanumeric	✅	-	-	The extended path for the SQL warehouse
Catalog	DATABRICKS_SQL_CATALOG	Alphanumeric	➖	-	-	The optional catalog to connect to. If none is provided, this will default to Hive Metastore
Schema	DATABRICKS_SQL_SCHEMA	Alphanumeric	➖	-	-	The optional schema to connect to. If none is provided, the blueprint will connect to the default schema
Volume	DATABRICKS_SQL_VOLUME	Alphanumeric	➖	-	-	The name of the volume to stage the file
Table Name	DATABRICKS_SQL_TABLE	Alphanumeric	✅	-	-	The table in Databricks to write to
Data Types	DATABRICKS_SQL_DATATYPES	Alphanumeric	➖	-	-	The optional Spark datatypes to use in Databricks. These should be in JSON format, and if none are provided then the datatypes will be inferred.
Insert Method	DATABRICKS_SQL_INSERT_METHOD	Select	✅	append	Append: append Create or Replace: replace	This decides whether to append to an existing table or overwrite an exiting table.
File Type	DATABRICKS_SQL_FILE_TYPE	Select	✅	csv	CSV: csv Parquet: parquet	The file type to load
Shipyard File Match Type	DATABRICKS_SQL_MATCH_TYPE	Select	✅	exact_match	Exact Match: exact_match Glob Match: glob_match	Determines if the text in "Shipyard File Name" will look for one file with exact match, or multiple files using regex.
Shipyard Folder Name	DATABRICKS_SQL_FOLDER_NAME	Alphanumeric	➖	-	-	The optional name of the folder where the file in Shipyard is located
Shipyard File Name	DATABRICKS_SQL_FILE_NAME	Alphanumeric	✅	-	-	The name of the file in Platform to load to Databricks

YAML

Below is the YAML template for this Blueprint and can be used in the Fleet YAML Editor.

source:
  blueprint: Databricks SQL Warehouse - Upload File to Table
  inputs:
    DATABRICKS_SQL_ACCESS_TOKEN: null  ## REQUIRED
    DATABRICKS_SQL_SERVER_HOST: null ## REQUIRED
    DATABRICKS_SQL_HTTP_PATH: null ## REQUIRED
    DATABRICKS_SQL_CATALOG: null
    DATABRICKS_SQL_SCHEMA: null
    DATABRICKS_SQL_VOLUME: null
    DATABRICKS_SQL_TABLE: null ## REQUIRED
    DATABRICKS_SQL_DATATYPES: null
    DATABRICKS_SQL_INSERT_METHOD: append ## REQUIRED
    DATABRICKS_SQL_FILE_TYPE: csv ## REQUIRED
    DATABRICKS_SQL_MATCH_TYPE: exact_match ## REQUIRED
    DATABRICKS_SQL_FOLDER_NAME: null
    DATABRICKS_SQL_FILE_NAME: null ## REQUIRED
  type: BLUEPRINT
guardrails:
  retry_count: 1
  retry_wait: 0h0m0s
  runtime_cutoff: 1h0m0s
  exclude_exit_code_ranges:
    - '200'
    - '202'
    - '203'
    - '204'
    - '205'
    - '206'
    - '207'
    - '208'
    - '209'
    - '210'
    - '211'
    - '249'