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.Net connector to Databricks SQL Warehouse.

Installation

NOT YET PUBLISHED. USED THE SOURCE CODE UNTIL IT'S PUBLISHED

dotnet add package Databricks.SqlWareHouse

Usage

The SqlWarehouseConnection class is the main entry point for the library. It provides methods to execute SQL queries and retrieve the results.

using Databricks.SqlWareHouse;

var options = new SqlWarehouseConnectionOptions
{
	Host = "https://<databricks-instance>.azuredatabricks.net",
	ApiKey = "<databricks-token>",
	WarehouseId = "<warehouse-id>",
	Catalog = "<catalog>",
	Schema = "<schema>"
};

var connection = new SqlWarehouseConnection(options);

The SqlWarehouseConnection constructor has several options you can set:

  • HttpClient : Use your own HttpClient instance.
  • Policy : Use a custom retry policy. (inspired from Polly)
  • DefaultAzureCredentialOptions : If you want to use Azure Identity to authenticate, and specify the options.
  • TokenCredential : If you want to use your own TokenCredential to authenticate.

Once connected, you can use some out of the box methods to interact with the Databricks SQL Warehouse, from your SqlWarehouseConnection instance.

You can also use the SqlWarehouseConnection to create a SqlWarehouseCommand instance, which you can use to execute SQL queries (see relted section).

ASP.NET Dependency Injection

If you are using the connector within an ASP.NET application you can use the extension method to inject an SqlWarehouseConnection instance:

builder.Services.AddSqlWarehouse(builder.Configuration);

Configuration is expected to be in the appsettings.json file, using a section called Databricks (that you can customize in the AddSqlWarehouse method) :

{
  "Databricks": {
    "Host": "https://<databricks-instance>.azuredatabricks.net",
    "ApiKey": "<databricks-token>",
    "WarehouseId": "<warehouse-id>",
    "Catalog": "samples",
    "Schema": "tpch",
    "WaitTimeout":10,
    "TenantId": "<tenant-id>"
  }
}

SqlWarehouseConnection methods

These are the methods you can use to interact with the Databricks SQL Warehouse, directly from your SqlWarehouseConnection instance.

Get Warehouses

Get an array of all the warehouses in the Databricks instance.

var tables = await connection.GetSqlWarehousesAsync();
[
  {
    "id": "xxx-xxxx-xxxxx-xxxx",
    "name": "serverless_warehouse",
    "type": "databricks_internal",
    "warehouseId": "123456bade9875",
    "syntax": "sql",
    "paused": 0,
    "pausReason": null,
    "supportsAutoLimit": true,
    "viewOnly": false
  }
]

GetSchemaAsync

Describe the schema, with all the tables, you are connected to.

var schema = await connection.GetSchemaAsync();
{
  "name": "tpch",
  "catalog": "samples",
  "comment": "Sample database tpch",
  "location": "",
  "tables": [
    {
      "name": "customer",
      "schema": "tpch",
      "catalog": "samples",
      "isTemporary": false,
      "columns": null,
      "properties": null
    },
  ]
}

GetTableAsync

Get the details of a table, including columns and table properties.

var table = await connection.GetTableAsync("table-name");
{
  "name": "customer",
  "schema": "tpch",
  "catalog": "samples",
  "isTemporary": false,
  "columns": [    
    {"name": "c_custkey",  "dataType": "bigint" },
    {"name": "c_name","dataType": "string" },
    {"name": "c_address", "dataType": "string" },
    {"name": "c_nationkey", "dataType": "bigint" },
    {"name": "c_phone", "dataType": "string"  }
  ],
  "properties": {
    "Created Time": "Mon Apr 08 08:09:47 UTC 2024",
    "Last Access": "UNKNOWN",
    "Created By": "Spark ",
    "Type": "EXTERNAL",
    "Location": "dbfs:/xxxxxxxxx/customer",
    "Provider": "delta",
    "Table Properties": "[delta.checkpoint.writeStatsAsJson=false,delta.checkpoint.writeStatsAsStruct=true,delta.minReaderVersion=1,delta.minWriterVersion=2]"
  }
}

GetSqlWarehousesQueriesAsync

Get an array of all the queries saved in your workspace.

var queries = await connection.GetSqlWarehousesQueriesAsync();
{
  "count": 2,
  "page": 1,
  "pageSize": 25,
  "results": [
    {
      "id": "xxxxx-xxxx-xxxx-xxxxx-xxxxx",
      "parent": null,
      "latestQueryDataId": null,
      "name": "Trips",
      "description": null,
      "query": "Select * from samples.nyctaxi.trips where dropoff_zip = {{ zip }} and trip_distance < {{ dist }}",
      "queryHash": null,
      "isArchived": null,
      "isDraft": false,
      "updatedAt": "2024-04-05T17:16:19Z",
      "createdAt": "2024-04-05T16:53:02Z",
      "dataSourceId": "xxxxx-xxxx-xxxx-xxxxx-xxxxx",
      "options": {
        "movedToTrashAt": null,
        "parameters": [
          {
            "title": "Zip",
            "name": "zip",
            "type": "number",
            "enumOptions": null,
            "queryId": null,
            "multiValuesOptions": null,
            "value": 10003
          },
          {
            "title": "dist",
            "name": "dist",
            "type": "number",
            "enumOptions": null,
            "queryId": null,
            "multiValuesOptions": null,
            "value": 1
          }
        ]
      },
      "tags": [],
      "isSafe": true,
      "userId": 88888888888888888,
      "lastModifiedById": null,
      "visualizations": null,
      "isFavorite": false,
      "user": {
        "id": 888888888888888,
        "name": "John Doe",
        "email": "[email protected]"
      },
      "lastModifiedBy": null,
      "canEdit": null,
      "permissionTier": null,
      "runAsRole": "owner"
    }
   ]
}

GetSqlWarehousesQueriesHystoryAsync

Get history of all the queries executed in your workspace. You can also filter the results by passing:

  • maxResults : The maximum number of results to return.
  • pageToken : The token to use to get the next page of results.
  • includeMetrics : Whether to include metrics in the response.
var queries = await connection.GetSqlWarehousesQueriesHystoryAsync();
{
  "nextPageToken": "xxxxxxxxxxxxxxxxxxxxo3wEYZA==",
  "hasNextPage": true,
  "res": [
    {
      "queryId": "xxxxxx-xxxx-xxxx-xxxxxx",
      "status": "FINISHED",
      "queryText": "SELECT *  FROM samples.tpch.customer",
      "queryStartTimeMs": 1712523190605,
      "executionEndTimeMs": 1712523201957,
      "queryEndTimeMs": 1712523201957,
      "userId": 8888888888888888,
      "userName": "[email protected]",
      "sparkUiUrl": "https://xxxxxx",
      "endpointId": "88888888888888888",
      "warehouseId": "88888888888888888",
      "lookupKey": "Cixxxxxxxxxxxxxxxxxxxxxxxxx",
      "errorMessage": null,
      "rowsProduced": 0,
      "canSubscribeToLiveQuery": null,
      "metrics": {},
      "isFinal": true,
      "channelUsed": {},
      "duration": 11352,
      "executedAsUserId": 88888888888888,
      "executedAsUserName": "[email protected]",
      "plansState": "EXISTS",
      "statementType": "SHOW"
    }
  ]
}

GetSqlWarehousePermissionsAsync

Get the permissions of a warehouse.

var permissions = await connection.GetSqlWarehousePermissionsAsync("warehouse-id");
{
  "objectId": "/sql/warehouses/1245678azerty",
  "objectType": "warehouses",
  "accessControlList": [
    {
      "userName": "[email protected]",
      "groupName": null,
      "servicePrincipalName": null,
      "displayName": "John Doe",
      "allPermissions": [
        {
          "permissionLevel": "IS_OWNER",
          "inherited": false,
          "inheritedFromObject": null
        }
      ]
    },
    {
      "userName": null,
      "groupName": "admins",
      "servicePrincipalName": null,
      "displayName": null,
      "allPermissions": [
        {
          "permissionLevel": "CAN_MANAGE",
          "inherited": true,
          "inheritedFromObject": [
            "/sql/warehouses/"
          ]
        }
      ]
    }
  ]
}

Execute SQL queries using SqlWarehouseCommand

The SqlWarehouseCommand class is used to execute SQL queries on the Databricks SQL Warehouse.

Methods

Each method getting results from the Databricks SQL Warehouse allows you to specify the maximum number of rows to return.

Your main entry points are the LoadJsonAsync and LoadJson<T> methods, which returns either a JSON array or a list of objects of type T.

The two others methods, GetJsonObjectsAsync and ExecuteAsync are used internally by the two main methods.

  • GetJsonObjectsAsync: A special asynchronous method is available to execute a SQL query and return an IAsyncEnumerable<JsonObject>. This method is used by all the other methods internally.
  • ExecuteAsync : Execute a SQL query and return the result as a DbricksResult object. This method is using GetJsonObjectsAsync and is internally used by LoadJsonAsync and LoadJson<T>.
  • LoadJsonAsync : Execute a SQL Query and return the result as a JsonArray object.
  • LoadJson<T> : Execute a SQL Query and return the result as a list of objects of type T.
var command = new SqlWarehouseCommand(connection, "SELECT l_orderkey, l_extendedprice, l_shipdate FROM lineitem");

var dbricksResult = await command.LoadJsonAsync(3);
[
  {
	"l_orderkey": "15997987",
	"l_extendedprice": "66516.00",
	"l_shipdate": "1992-02-12"
  },
  {
	"l_orderkey": "15997988",
	"l_extendedprice": "53460.96",
	"l_shipdate": "1994-05-31"
  },
  {
	"l_orderkey": "15997988",
	"l_extendedprice": "47738.88",
	"l_shipdate": "1994-05-24"
  }
]

Using the ExecuteAsync method, you can get the result as it is coming out of Databricks, wrapped in a DbricksResult object, which contains the result of the query, the schema, and the status of the query.

var command = new SqlWarehouseCommand(connection, "SELECT l_orderkey, l_extendedprice, l_shipdate FROM lineitem");

var dbricksResult = await command.ExecuteAsync(3);
{
  "statementId": "xxxxx-xxxxxx-xxxxx-xxxxx",
  "status": {
    "state": "SUCCEEDED",
    "error": null
  },
  "manifest": {
    "format": "JSON_ARRAY",
    "schema": {
      "columnCount": 3,
      "columns": [
        {
          "name": "l_orderkey",
          "typeText": "BIGINT",
          "typeName": "LONG",
          "position": 0
        },
        {
          "name": "l_extendedprice",
          "typeText": "DECIMAL(18,2)",
          "typeName": "DECIMAL",
          "position": 1
        },
        {
          "name": "l_shipdate",
          "typeText": "DATE",
          "typeName": "DATE",
          "position": 2
        }
      ]
    },
    "totalRowCount": 3,
    "totalChunkCount": 1,
    "truncated": true,
    "chunks": [
      {
        "chunkIndex": 0,
        "rowCount": 3,
        "rowOffset": 0
      }
    ]
  },
  "result": {
    "rowCount": 3,
    "rowOffset": 0,
    "chunkIndex": 0,
    "nextChunkIndex": null,
    "nextChunkInternalLink": null,
    "dataArray": [
      [
        "15997987",
        "66516.00",
        "1992-02-12"
      ],
      [
        "15997988",
        "53460.96",
        "1994-05-31"
      ],
      [
        "15997988",
        "47738.88",
        "1994-05-24"
      ]
    ],
    "externalLinks": null
  }
}

Command Parameters

You can specify parameters in your SQL query, using the AddParameter method.

var command = new SqlWarehouseCommand(connection, "SELECT * FROM samples.tpch.customer WHERE c_int = :c_int and c_date = :c_date");

command.Parameters.AddInt("c_int", 1);
command.Parameters.AddDate("c_date", date);

Execution Progress

You can get the progress of the execution of your query, using the GetProgressAsync method.

var progress = new Progress<StatementProgress>();
progress.ProgressChanged += (sender, e) => Debug.WriteLine(e);

var command = new SqlWarehouseCommand(connection, "SELECT l_orderkey, l_extendedprice, l_shipdate FROM lineitem");
var json = await command.LoadJsonAsync(count, progress);

Authentication

Authentication is done using a Databricks token or using the Azure Identity provider.

You can retrieve the current token using the GetTokenAsync method.

var token = await connection.GetTokenAsync();

Using a Databricks token

Just configure your API Key from your SqlWarehouseConnectionOptions instance, or use the configuration section:

{
  "Databricks": {
    "Host": "https://<databricks-instance>.azuredatabricks.net",
    "ApiKey": "<databricks-token>",
    "WarehouseId": "<warehouse-id>",
    "Catalog": "samples",
    "Schema": "tpch",
    "WaitTimeout":10,
    "TenantId": "<tenant-id>"
  }
}

Using Azure Identity

You can use Azure Identity to authenticate your connection with the Databricks SQL Warehouse.

Internally, the library uses the DefaultAzureCredential class from the Azure.Identity framework to authenticate your connection with the Databricks SQL Warehouse. If you want to use a managed identity, you can set the ManagedIdentityClientId value in your options :

{
  "Host": "https://<databricks-instance>.azuredatabricks.net",
  "WarehouseId": "<warehouse-id>",
  "Catalog": "<catalog>",
  "Schema": "<schema>",
  "ManagedIdentityClientId": "<managed-identity-client-id>"
}

You can also use the DefaultAzureCredentialOptions class to specify the options for the DefaultAzureCredential class.

var azureAuthOptions = new DefaultAzureCredentialOptions
    {
        ExcludeInteractiveBrowserCredential = false,
        ManagedIdentityClientId = options.ManagedIdentityClientId,
        TenantId = options.TenantId,
    };

var connection = new SqlWarehouseConnection(options, azureAuthOptions);

Using a custom authentication method, with TokenCredential

If you want to use your own TokenCredential to authenticate, you can create your own authentication class, inhereting from TokenCredential, and use it from your SqlWarehouseConnection:

Useful if you want to use your own authentication logic:

public class MyTokenCredential : TokenCredential
{
	public override AccessToken GetToken(TokenRequestContext requestContext, CancellationToken cancellationToken)
	{
		// Your authentication logic here
	}
}

var tokenCredential = new MyTokenCredential();

var connection = new SqlWarehouseConnection(options, customTokenCredential: tokenCredential);

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Databicks connector to Databricks Sql Warehouse

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