Batch Processing
The CData ADO.NET Provider for Amazon DynamoDB enables you to take advantage of the bulk load support in Amazon DynamoDB through AmazonDynamoDBDataAdapters. You can use the Batch API to execute related SQL data manipulation statements simultaneously. The provider translates all SQL queries in the batch into a single request.
Using the ADO.NET Batch API
Performing a batch update consists of the following basic steps:
- Define custom parameterized SQL statements in AmazonDynamoDBCommand objects.
- Set the UpdatedRowSource property of the AmazonDynamoDBCommand object to "UpdateRowSource.None".
- Assign the AmazonDynamoDBCommand objects to the AmazonDynamoDBDataAdapter.
- Add the parameters to the command.
- Call the AmazonDynamoDBDataAdapter'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 AmazonDynamoDBDataAdapter'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#
AmazonDynamoDBDataAdapter adapter = new AmazonDynamoDBDataAdapter(); using (AmazonDynamoDBConnection conn = new AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")) { conn.Open(); adapter.InsertCommand = conn.CreateCommand(); adapter.InsertCommand.CommandText = "INSERT INTO Account (Name) VALUES (@Name)"; adapter.InsertCommand.UpdatedRowSource = UpdateRowSource.None; adapter.InsertCommand.Parameters.Add("@Name", "Name"); DataTable batchDataTable = new DataTable(); batchDataTable.Columns.Add("Name", typeof(string)); batchDataTable.Rows.Add("Jon Doe"); batchDataTable.Rows.Add("John"); adapter.UpdateBatchSize = 2; adapter.Update(batchDataTable); AmazonDynamoDBCommand cmd = new AmazonDynamoDBCommand("SELECT * FROM LastResultInfo#TEMP", conn); adapter = new AmazonDynamoDBDataAdapter(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 AmazonDynamoDBDataAdapter()
Using conn As New AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")
conn.Open()
adapter.InsertCommand = conn.CreateCommand()
adapter.InsertCommand.CommandText = "INSERT INTO Account (Id) VALUES (@Name)"
adapter.InsertCommand.UpdatedRowSource = UpdateRowSource.None
adapter.InsertCommand.Parameters.Add("@Name", "Name")
Dim batchDataTable As New DataTable()
batchDataTable.Columns.Add("Name", GetType(String))
batchDataTable.Rows.Add("John")
batchDataTable.Rows.Add("Jon Doe")
adapter.UpdateBatchSize = 2
adapter.Update(batchDataTable)
Dim cmd As New AmazonDynamoDBCommand("SELECT * FROM LastResultInfo#TEMP", conn)
adapter = New AmazonDynamoDBDataAdapter(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#
AmazonDynamoDBDataAdapter adapter = new AmazonDynamoDBDataAdapter(); using (AmazonDynamoDBConnection conn = new AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")) { conn.Open(); adapter.UpdateCommand = conn.CreateCommand(); adapter.UpdateCommand.CommandText = "UPDATE Account SET Name=@Name WHERE Id=@Id"; adapter.UpdateCommand.Parameters.Add("@Name", "Name"); adapter.UpdateCommand.Parameters.Add("@Id", "Id"); adapter.UpdateCommand.UpdatedRowSource = UpdateRowSource.None; DataTable batchDataTable = new DataTable(); batchDataTable.Columns.Add("Name", typeof(string)); batchDataTable.Rows.Add("Jon Doe"); batchDataTable.Rows.Add("John"); adapter.UpdateBatchSize = 2; adapter.Update(dataTable); }
VB.NET
Dim adapter As New AmazonDynamoDBDataAdapter()
Using conn As New AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")
conn.Open()
adapter.UpdateCommand = conn.CreateCommand()
adapter.UpdateCommand.CommandText = "UPDATE Account SET Name=@Name WHERE Id=@Id"
adapter.UpdateCommand.Parameters.Add("@Name", "Name")
adapter.UpdateCommand.Parameters.Add("@Id", "Id")
adapter.UpdateCommand.UpdatedRowSource = UpdateRowSource.None
Dim batchDataTable As New DataTable()
batchDataTable.Columns.Add("Name", GetType(String))
batchDataTable.Rows.Add("John")
batchDataTable.Rows.Add("Jon Doe")
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#
AmazonDynamoDBDataAdapter adapter = new AmazonDynamoDBDataAdapter();
using (AmazonDynamoDBConnection conn = new AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")) {
conn.Open();
adapter.DeleteCommand = conn.CreateCommand();
adapter.DeleteCommand.CommandText = "DELETE FROM Account 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 AmazonDynamoDBDataAdapter()
Using conn As New AmazonDynamoDBConnection("AWS Access Key=xxx;AWS Secret Key=xxx;Domain=amazonaws.com;AWS Region=OREGON;")
conn.Open()
adapter.DeleteCommand = conn.CreateCommand()
adapter.DeleteCommand.CommandText = "DELETE FROM Account WHERE Id=@Id"
adapter.DeleteCommand.Parameters.Add("@Id", "Id")
adapter.DeleteCommand.UpdatedRowSource = UpdateRowSource.None
adapter.UpdateBatchSize = 2
adpater.Update(table)
End Using