Introduction

Microsoft .NET 4.5 introduced new "async and await" methods to provide an easy way of implementing asynchronisity using .NET "Task" objects.

This allows developers to make async calls more flexibly, as opposed to standard threading/callback methods.

In this article i‘ve built a demo to show how this can be applied to build easy to use SQL functions which can be called async.

Getting started

For this article we shall be using the .NET SQL Client library for connecting to a Microsoft SQL Server database, however the same methodology of wrapping up code in a task can be used with any other type of connection.

In this example we will wrap our code which connects to the database to get data into a function which returns a "Task" object based on the data type we require.

Building Asynchronous Task Functions

We start by building the initial wrapper which returns a task object. We shall be returning a dataset in this example.

Side note: Any data type can be returned with task objects, as such you could return a string, integer or a custom class.

The following is the basic wrapper for our function. This bit of code will return a task object based on the datatype, with a section to add our own code to build and return the dataset.

public Task<DataSet> GetDataSetAsync(string sConnectionString, string sSQL){    return Task<DataSet>.Factory.StartNew(() =>    {        //MY CODE HERE    });}

We can now insert code which connects to the server to get data based on a query into this function.

Example 1: Function to fill a dataset based on the SQL query.

In this example code has been added to the body of the function which uses a standard SQL connection string and objects from the System.Data.SQLClient .NET library to connect to the database and fill a dataset based on the query.

Once the dataset has been filled the code will then return the dataset using a standard "return" call.

public Task<DataSet> GetDataSetAsync(string sConnectionString, string sSQL, params SqlParameter[] parameters){    //Return task based on datatype    return Task.Run(() =>    {        using (var newConnection = new SqlConnection(sConnectionString))        using (var mySQLAdapter = new SqlDataAdapter(sSQL, newConnection))        {            mySQLAdapter.SelectCommand.CommandType = CommandType.Text;            if (parameters != null) mySQLAdapter.SelectCommand.Parameters.AddRange(parameters);            DataSet myDataSet = new DataSet();            mySQLAdapter.Fill(myDataSet);            return myDataSet;        }    });}

We can now call this function asynchronously to return a dataset of data based on our query.

Example 2: Function to execute a command, passing back the rows affected.

In this example, we have changed the data type to integer, as we simply want to pass back the rows affected for the result of this function.

public Task<int> ExecuteAsync(string sConnectionString, string sSQL, params SqlParameter[] parameters){    return Task.Run(() =>    {        using (var newConnection = new SqlConnection(sConnectionString))        using (var newCommand = new SqlCommand(sSQL, newConnection))        {            newCommand.CommandType = CommandType.Text;            if (parameters != null) newCommand.Parameters.AddRange(parameters);            newConnection.Open();            return newCommand.ExecuteNonQuery();        }    });}

Further to this, there are existing async task functions on the SqlCommand object which can be used to simplify the function further.

public async Task<int> ExecuteAsync(string sConnectionString, string sSQL, params SqlParameter[] parameters){    using (var newConnection = new SqlConnection(sConnectionString))    using (var newCommand = new SqlCommand(sSQL, newConnection))    {        newCommand.CommandType = CommandType.Text;        if (parameters != null) newCommand.Parameters.AddRange(parameters);        await newConnection.OpenAsync().ConfigureAwait(false);        return await newCommand.ExecuteNonQueryAsync().ConfigureAwait(false);    }}

We can use this function to execute SQL and get the rows affected.

Calling Asynchronous Task Functions

Now that we have an async function to get data from SQL we can now call this asynchronously using the async\await clause from any method.

To call the function to get data we start by adding "async" into the method declaration.

private async <type> MyMethod()

Now that our method is an "async" method we can use the "await" option on the tasks returned from our SQL functions.

Execute Task Function

To execute task functions you need to add "await" before the function call.

This will execute the function, and return the "Result" to the variable should one be specified.

private async Task GetSomeData(string sSQL){    //Use Async method to get data    DataSet results = await GetDataSetAsync(sConnectionString, sSQL, sqlParams);    //Populate once data received    grdResults.DataSource = results.Tables[0];}

Variables do not need to be specified. You can call the function using "await" which will run the task without retrieving a result.

private async Task ExecuteSomeData(string sSQL){    //Use Async method to get data    await ExecuteAsync(sConnectionString, sSQL, sqlParams);}

The "await" option can be specified multiple times if you need to make other asyncronous calls.

You can make GUI updates before and after the "await" command, as it is only the await command which is run asynchronously.

The simplest use of "async/await" is to use the "await" option, then continue with your code afterwards.

However the .NET task object provides other methods of continuation once the asynchronous task has completed.

Running Multiple Tasks/Chaining Tasks

If you need to run multiple SQL operations there are a few ways of achieving this.

Specifing Tasks As Variables Then Running Together

You can specify a number of commands as variables and run them all at once asynchronously, then get the results as necessary.

This can be achieved by setting up your tasks as variables.

Once setup you will need to add them into an array then use the "Task.WhenAll" to run all the tasks asynchronously.

You can then access the results on the task object after completion.

//Setup tasksTask<int> ExecuteTask1 = database.ExecuteAsync(sConnectionString, sExecuteSQL1, sqlParams);Task<int> ExecuteTask2 = database.ExecuteAsync(sConnectionString, sExecuteSQL2, sqlParams);Task<int> ExecuteTask3 = database.ExecuteAsync(sConnectionString, sExecuteSQL3, sqlParams);//Add to arrayTask<int>[] Tasks = new Task<int>[] { ExecuteTask1, ExecuteTask2, ExecuteTask3 };//Run allawait Task.WhenAll(Tasks);//Get resultsint iRowsAffected = Tasks[0].Result + Tasks[1].Result + Tasks[2].Result;

Calling Other Async Tasks With "ContinueWith"

Another method of chaining the tasks together is using the "ContinueWith" method on the task object returned by your SQL function.

In this example we start by running an execute task function, then once complete we run a select task function to get a dataset to a variable.

DataSet results = await database.ExecuteAsync(sConnectionString, sExecuteSQL, sqlParams).ContinueWith(t => database.GetDataSetAsync(sConnectionString, sGetSQL, sqlParams)).Result;

Calling Standard Methods With "ContinueWith"

You can call a standard method on the "ContinueWith" method.

In this example we use "ContinueWith" on the task object to pass the data through to a separate method.

private async Task RunSQLQuery(string sSQL){    //Use await method to get data    await GetDataSetAsync(sConnectionString, sSQL, sqlParams).ContinueWith(t => PopulateResults(t.Result));}private void PopulateResults(DataSet results){    //Do something with results}

WARNING: When using "ContinueWith" in this way this will continue the async thread, meaning that if you intend to update GUI components such as a grid or textbox control you may encounter the error:

Cross-thread operation not valid: Control MyControl accessed from a thread other than the thread it was created on.

In cases like this you can invoke the method from within the "ContinueWith" which will allow for GUI updates.

await database.GetDataSetAsync(sConnectionString, sSQL, sqlParams).ContinueWith(t => this.Invoke((Action)(() => { PopulateResultsToScreen(t.Result); })));

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