public void Write(SqlConnection connection, SqlTransaction transaction, IEnumerable <TEntity> entities)
        {
            using (var streamingDataReader = new StreamingDataReader <TEntity>(entities, Mapping.Table, Mapping.Columns.ToArray()))
            {
                using (var sqlBulkCopy = new SqlBulkCopy(connection, Options.SqlBulkCopyOptions, transaction))
                {
                    sqlBulkCopy.BatchSize       = Options.BatchSize;
                    sqlBulkCopy.EnableStreaming = Options.EnableStreaming;
                    sqlBulkCopy.BulkCopyTimeout = (int)Options.BulkCopyTimeOut.TotalSeconds;

                    // Set the Destination Table:
                    sqlBulkCopy.DestinationTableName = Mapping.Table.GetFullQualifiedTableName();

                    // Build the Internal Mapping Table:
                    foreach (var column in Mapping.Columns)
                    {
                        sqlBulkCopy.ColumnMappings.Add(column.ColumnName, column.ColumnName);
                    }

                    // And finally write to the SQL Server:
                    sqlBulkCopy.WriteToServer(streamingDataReader);
                }
            }
        }
示例#2
0
        static void Main(string[] args)
        {
            // *** CHANGE TO THE IP ADDRESS FOR INSTRUMENT ***
            string instrumentIpAddress = "192.168.86.70";

            // Create a TCP client for communicating with the Hyperion instrument
            TcpClient tcpClient = new TcpClient();

            // Connect to the instrument over TCP/IP

            tcpClient.Connect(instrumentIpAddress, Command.TcpPort);
            NetworkStream tcpNetworkStream = tcpClient.GetStream();


            // Execute a simple command to retrieve the instrument serial number
            CommandResponse response = Command.Execute(
                tcpNetworkStream,
                CommandName.GetSerialNumber);

            // The response (unless specifically suppressed) contains an ASCII based Message field
            // AND a binary (byte[]) Content field. The ASCII field is intended to be human readable
            // and the binary data is intended to be easily parsed by a computer.
            WriteLine("Instrument Serial Number");
            WriteLine("------------------------");
            WriteLine($"Message: {response.Message}");
            WriteLine($"Content Converted to String {response.AsString()}");

            WriteLine();
            WriteLine();

            // Execute the #GetPeaks command. The CommandName contains static string members
            // for commands exposed by the instrument.
            response = Command.Execute(
                tcpNetworkStream,
                CommandName.GetPeaks);

            // Several extension methods are defined in the communication library that
            // easily convert the response from a byte[] to useful types such as
            // int, double, and more complex responses such as Peak/Spectrum data
            PeakData peakData = response.AsPeakData();

            WriteLine("Peak Data Header");
            WriteLine("---------------------");

            WriteLine($"Serial Number: {peakData.SerialNumber}");
            WriteLine($"Timestamp: {peakData.Timestamp}");

            WriteLine();

            WriteLine("Peaks");
            WriteLine("-----");

            // The PeakData exposes the peaks in two ways...as Arrays and as Enumerables. The
            // arrays will allocate new memory for the data but can be advantageous if the
            // data needs to be repeatedly accessed. The Enumerable is great for situations where
            // the data needs to be simply iterated through once and processed. This provides very
            // high performance and low overhead for situations such as streaming large number of
            // peaks at very high speeds.
            for (int channelIndex = 0; channelIndex < 4; channelIndex++)
            {
                WriteLine($"Channel {channelIndex}: ");

                foreach (double wavelength in peakData.AsEnumerable(1))
                {
                    WriteLine($"\t{wavelength} nm");
                }
            }

            WriteLine();
            WriteLine();



            // Retrieve the optical full spectrum response
            response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.GetSpectrum);

            // Use the extension methods to easily obtain the spectrum data
            SpectrumData spectrumData = response.AsSpectrumData();

            WriteLine("Full Spectrum");
            WriteLine("-------------");
            WriteLine($"Wavelength Start: {spectrumData.WavelengthStart:F3} nm");
            WriteLine($"Wavelength Step: {(int)(1000 * spectrumData.WavelengthStep)} pm");
            WriteLine($"Wavelength Step Count: {spectrumData.WavelengthStepCount}");
            WriteLine($"Channel Count: {spectrumData.ChannelCount}");
            WriteLine($"Serial Number: {spectrumData.SerialNumber}");
            WriteLine($"Timestamp: {spectrumData.Timestamp}");

            WriteLine();
            WriteLine();

            // Remove existing sensors
            response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.GetSensorNames);
            string[] sensorNames = response.AsString().Split(' ');
            foreach (string sensorName in sensorNames)
            {
                WriteLine($"Removing sensor: {sensorName}");
                response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.RemoveSensor, sensorName);
            }

            // Add some sensors
            for (int i = 1; i <= 20; i++)
            {
                string name             = $"sensor_{i}";
                string model            = i % 2 == 1 ? "os7510" : "os7520";
                int    channel          = (i - 1) % 4 + 1;
                int    wavelength       = 1510 + ((i - 1) % 4) * 20;
                bool   fixedOrientation = i % 2 == 0;
                double calibration      = 10.0 * i;
                WriteLine($"Adding Sensor {name}");
                WriteLine("----------------------------------------");
                WriteLine($"Model: {model}");
                WriteLine($"Channel: {channel}");
                WriteLine($"Wavelength Band: {wavelength} nm");
                WriteLine($"Calibration Factor: {calibration} nm/g");
                WriteLine($"Fixed Orientation: {fixedOrientation}");
                WriteLine();
                string[] input_args = { name,
                                        model,
                                        channel.ToString(),
                                        "0",
                                        wavelength.ToString(),
                                        calibration.ToString(),
                                        fixedOrientation.ToString() };
                response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.AddSensor, input_args);
            }

            // Retrieve the defined Sensors
            response = Command.Execute(tcpNetworkStream, CommandOptions.None, CommandName.ExportSensors);

            WriteLine(response.Message);

            int offset = 0;

            int version = BitConverter.ToUInt16(response.Content, offset);

            offset += sizeof(UInt16);

            int numberOfSensors = BitConverter.ToUInt16(response.Content, offset);

            offset += sizeof(UInt16);

            // Sensor Count
            WriteLine($"Sensors - {numberOfSensors} (Data Export Version = {version})");
            WriteLine();

            // Create sensors

            for (int sensorIndex = 0; sensorIndex < numberOfSensors; sensorIndex++)
            {
                FabryPerotAccelerometer fpSensor = (FabryPerotAccelerometer)SensorBase.Create(response.Content, ref offset);
                WriteLine($"Sensor {sensorIndex + 1} - {fpSensor.Name} ({fpSensor.Model})");
                WriteLine($"Sensor Definition Version: {fpSensor.FPSesnorVersion}");
                WriteLine("----------------------------------------");
                WriteLine($"ID: {fpSensor.Id}");
                WriteLine($"Model: {fpSensor.Model}");
                WriteLine($"Channel: {fpSensor.DutChannelIndex + 1}");
                WriteLine($"Wavelength Band: {fpSensor.WavelengthBand} nm");
                WriteLine($"Calibration Factor: {fpSensor.CalibrationFactor} nm/g");
                WriteLine($"Fixed Orientation: {fpSensor.FixedOrientation}");
                WriteLine();
            }

            WriteLine();



            // Cleanup by closing the TCP connection
            tcpNetworkStream.Close();
            tcpClient.Close();



            // Now demonstrating using the data streaming to continuously read consecutive
            // peak data sets.
            tcpClient = new TcpClient();
            tcpClient.Connect(instrumentIpAddress, StreamingDataReader.PeakTcpPort);
            tcpNetworkStream = tcpClient.GetStream();

            // The StreamingDataReader class works for peaks and full spectrum. It can be
            // used to easily and efficiently read consecutive datasets. The class internally
            // uses a single buffer of memory to avoid allocating and collecting large
            // amounts of memory and system resources. The mode Peak, Spectrum, Sensor) is
            // defined when the reader is created.
            StreamingDataReader reader = new StreamingDataReader(StreamingDataMode.Peaks);

            WriteLine("Streaming Peak Data Acquistion Serial Numbers");
            WriteLine("---------------------------------------------");

            for (int index = 0; index < 10; index++)
            {
                WriteLine(
                    $"{index}: " +
                    $"{ reader.ReadStreamingData(tcpNetworkStream).AsPeakData().SerialNumber}");
            }

            WriteLine();

            tcpNetworkStream.Close();
            tcpClient.Close();



            // Now demonstrating using the data streaming to continuously read consecutive
            // sensor data sets.
            tcpClient = new TcpClient();
            tcpClient.Connect(instrumentIpAddress, StreamingDataReader.SensorTcpPort);
            tcpNetworkStream = tcpClient.GetStream();

            // The StreamingDataReader class works for peaks, full spectrum and sensors. It can be
            // used to easily and efficiently read consecutive datasets. The class internally
            // uses a single buffer of memory to avoid allocating and collecting large
            // amounts of memory and system resources. The mode Peak, Spectrum, Sensor) is
            // defined when the reader is created.
            StreamingDataReader sensorReader = new StreamingDataReader(StreamingDataMode.Sensor);

            WriteLine("Streaming Sensor Data Acquistion Serial Numbers");
            WriteLine("---------------------------------------------");

            for (int index = 0; index < 10; index++)
            {
                SensorData sensorData = sensorReader.ReadStreamingData(tcpNetworkStream).AsSensorData();

                WriteLine(
                    $"{index}: " +
                    $"{sensorData.SerialNumber}");
            }

            WriteLine();

            tcpNetworkStream.Close();
            tcpClient.Close();



            // Wait for any key press to exit
            ReadLine();
        }