Batch Processing
The CData ADO.NET Provider for Elasticsearch enables you to take advantage of the bulk load support in Elasticsearch through ElasticsearchDataAdapters. 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 ElasticsearchCommand objects.
- Set the UpdatedRowSource property of the ElasticsearchCommand object to "UpdateRowSource.None".
- Assign the ElasticsearchCommand objects to the ElasticsearchDataAdapter.
- Add the parameters to the command.
- Call the ElasticsearchDataAdapter'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 ElasticsearchDataAdapter'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#
ElasticsearchDataAdapter adapter = new ElasticsearchDataAdapter(); using (ElasticsearchConnection conn = new ElasticsearchConnection("Server=127.0.0.1;Port=9200;")) { conn.Open(); adapter.InsertCommand = conn.CreateCommand(); adapter.InsertCommand.CommandText = "INSERT INTO [CData].[Elasticsearch].Employee (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("Floppy Disks"); adapter.UpdateBatchSize = 2; adapter.Update(batchDataTable); ElasticsearchCommand cmd = new ElasticsearchCommand("SELECT * FROM LastResultInfo#TEMP", conn); adapter = new ElasticsearchDataAdapter(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 ElasticsearchDataAdapter()
Using conn As New ElasticsearchConnection("Server=127.0.0.1;Port=9200;")
conn.Open()
adapter.InsertCommand = conn.CreateCommand()
adapter.InsertCommand.CommandText = "INSERT INTO [CData].[Elasticsearch].Employee (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("Floppy Disks")
batchDataTable.Rows.Add("Jon Doe")
adapter.UpdateBatchSize = 2
adapter.Update(batchDataTable)
Dim cmd As New ElasticsearchCommand("SELECT * FROM LastResultInfo#TEMP", conn)
adapter = New ElasticsearchDataAdapter(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#
ElasticsearchDataAdapter adapter = new ElasticsearchDataAdapter(); using (ElasticsearchConnection conn = new ElasticsearchConnection("Server=127.0.0.1;Port=9200;")) { conn.Open(); adapter.UpdateCommand = conn.CreateCommand(); adapter.UpdateCommand.CommandText = "UPDATE [CData].[Elasticsearch].Employee 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("Floppy Disks"); adapter.UpdateBatchSize = 2; adapter.Update(dataTable); }
VB.NET
Dim adapter As New ElasticsearchDataAdapter()
Using conn As New ElasticsearchConnection("Server=127.0.0.1;Port=9200;")
conn.Open()
adapter.UpdateCommand = conn.CreateCommand()
adapter.UpdateCommand.CommandText = "UPDATE [CData].[Elasticsearch].Employee 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("Floppy Disks")
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#
ElasticsearchDataAdapter adapter = new ElasticsearchDataAdapter();
using (ElasticsearchConnection conn = new ElasticsearchConnection("Server=127.0.0.1;Port=9200;")) {
conn.Open();
adapter.DeleteCommand = conn.CreateCommand();
adapter.DeleteCommand.CommandText = "DELETE FROM [CData].[Elasticsearch].Employee 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 ElasticsearchDataAdapter()
Using conn As New ElasticsearchConnection("Server=127.0.0.1;Port=9200;")
conn.Open()
adapter.DeleteCommand = conn.CreateCommand()
adapter.DeleteCommand.CommandText = "DELETE FROM [CData].[Elasticsearch].Employee WHERE Id=@Id"
adapter.DeleteCommand.Parameters.Add("@Id", "Id")
adapter.DeleteCommand.UpdatedRowSource = UpdateRowSource.None
adapter.UpdateBatchSize = 2
adpater.Update(table)
End Using