The CData ADO.NET Provider for Azure Synapse enables you to take advantage of the bulk load support in Azure Synapse through AzureSynapseDataAdapters. You can use the Batch API to execute related SQL data manipulation statements simultaneously.

Using the ADO.NET Batch API

Performing a batch update consists of the following basic steps:

1. Define custom parameterized SQL statements in AzureSynapseCommand objects.
2. Set the UpdatedRowSource property of the AzureSynapseCommand object to "UpdateRowSource.None".
3. Assign the AzureSynapseCommand objects to the AzureSynapseDataAdapter.
4. Add the parameters to the command.
5. Call the AzureSynapseDataAdapter's Update method. Pass in a DataSet or DataTable containing your changes.

Controlling Batch Size

Depending on factors such as the size of the request, your network resources, and the performance of the server, you may gain performance by executing several smaller batch requests. You can control the size of each batch by setting the AzureSynapseDataAdapter's UpdateBatchSize property to a positive integer.

Bulk INSERT

The following code prepares a single batch that inserts records in bulk and retrieves the new records' Ids. The example executes a batch INSERT of new DataRows, which have the "Added" state.

C#

AzureSynapseDataAdapter adapter = new AzureSynapseDataAdapter();

using (AzureSynapseConnection conn = new AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")) {
  conn.Open();
  adapter.InsertCommand = conn.CreateCommand();
  adapter.InsertCommand.CommandText = "INSERT INTO \"SampleDB\".\"Sample\".Products (ProductName) VALUES (@ProductName)";
  adapter.InsertCommand.UpdatedRowSource = UpdateRowSource.None;
  adapter.InsertCommand.Parameters.Add("@ProductName", "ProductName");

  DataTable batchDataTable = new DataTable();
  batchDataTable.Columns.Add("ProductName", typeof(string));
  batchDataTable.Rows.Add("Ikura");
  batchDataTable.Rows.Add("Konbu");
  adapter.UpdateBatchSize = 2;
  adapter.Update(batchDataTable);

  AzureSynapseCommand cmd = new AzureSynapseCommand("SELECT * FROM LastResultInfo#TEMP", conn);
  adapter = new AzureSynapseDataAdapter(cmd);
  DataTable res = new DataTable();
  adapter.Fill(res);
  foreach (DataRow row in res.Rows) 
    foreach(DataColumn col in res.Columns)
      Console.Write("{0}: {1}", col.ColumnName, row[col]);
}

VB.NET

 
Dim adapter As New AzureSynapseDataAdapter()

Using conn As New AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")
  conn.Open()
  adapter.InsertCommand = conn.CreateCommand()
  adapter.InsertCommand.CommandText = "INSERT INTO \"SampleDB\".\"Sample\".Products (Id) VALUES (@ProductName)"
  adapter.InsertCommand.UpdatedRowSource = UpdateRowSource.None
  adapter.InsertCommand.Parameters.Add("@ProductName", "ProductName")

  Dim batchDataTable As New DataTable()
  batchDataTable.Columns.Add("ProductName", GetType(String))
  batchDataTable.Rows.Add("Konbu")
  batchDataTable.Rows.Add("Ikura")
  adapter.UpdateBatchSize = 2
  adapter.Update(batchDataTable)

  Dim cmd As New AzureSynapseCommand("SELECT * FROM LastResultInfo#TEMP", conn)
  adapter = New AzureSynapseDataAdapter(cmd)
  Dim res As New DataTable()
  adapter.Fill(res)
  For Each row As DataRow In res.Rows 
    For Each col As DataColumn In res.Columns
      Console.WriteLine("{0}: {1}", col.ColumnName, row(col))
    Next
  Next
End Using

Bulk Update

A batch update additionally requires the primary key of each row to update. The following example executes a batch for all DataRow records with a "Modified" state:

C#

AzureSynapseDataAdapter adapter = new AzureSynapseDataAdapter();

using (AzureSynapseConnection conn = new AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")) { 
  conn.Open();
  adapter.UpdateCommand = conn.CreateCommand();
  adapter.UpdateCommand.CommandText = "UPDATE \"SampleDB\".\"Sample\".Products SET ProductName=@ProductName WHERE Id=@Id";
  adapter.UpdateCommand.Parameters.Add("@ProductName", "ProductName");
  adapter.UpdateCommand.Parameters.Add("@Id", "Id");
  adapter.UpdateCommand.UpdatedRowSource = UpdateRowSource.None; 
  adapter.UpdateBatchSize = 2;
  adapter.Update(dataTable);
}

VB.NET

 
Dim adapter As New AzureSynapseDataAdapter()

Using conn As New AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")
  conn.Open()
  adapter.UpdateCommand = conn.CreateCommand()
  adapter.UpdateCommand.CommandText = "UPDATE \"SampleDB\".\"Sample\".Products SET ProductName=@ProductName WHERE Id=@Id"
  adapter.UpdateCommand.Parameters.Add("@ProductName", "ProductName")
  adapter.UpdateCommand.Parameters.Add("@Id", "Id")
  adapter.UpdateCommand.UpdatedRowSource = UpdateRowSource.None
  adapter.UpdateBatchSize = 2
  adapter.Update(dataTable)
End Using

Bulk Delete

The following code prepares a single batch that deletes records in bulk. The primary key for each row is required. The following example executes a batch for all DataRow records with a "Deleted" state:

C#

AzureSynapseDataAdapter adapter = new AzureSynapseDataAdapter();

using (AzureSynapseConnection conn = new AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")) {
  conn.Open();
  adapter.DeleteCommand = conn.CreateCommand();
  adapter.DeleteCommand.CommandText = "DELETE FROM \"SampleDB\".\"Sample\".Products WHERE Id=@Id";
  adapter.DeleteCommand.Parameters.Add("@Id", "Id");
  adapter.DeleteCommand.UpdatedRowSource = UpdateRowSource.None; 
  adapter.UpdateBatchSize = 2;
  adpater.Update(table);
}

VB.NET

Dim adapter As New AzureSynapseDataAdapter()

Using conn As New AzureSynapseConnection("user=myuser;password=mypassword;Server=localhost;Database=Northwind;")
  conn.Open()
  adapter.DeleteCommand = conn.CreateCommand()
  adapter.DeleteCommand.CommandText = "DELETE FROM \"SampleDB\".\"Sample\".Products WHERE Id=@Id"
  adapter.DeleteCommand.Parameters.Add("@Id", "Id")
  adapter.DeleteCommand.UpdatedRowSource = UpdateRowSource.None 
  adapter.UpdateBatchSize = 2
  adpater.Update(table)
End Using