public static void Main(string[] args)
{
// can't initialize logger early because in MultiThreadWorker mode, JVM will read C#'s stdout via
// pipe. When initialize logger, some unwanted info will be flushed to stdout. But we can still
// use stderr
Console.Error.WriteLine("input args: [{0}]", string.Join(" ", args));
if (args.Count() != 2)
{
Console.Error.WriteLine("Wrong number of args: {0}, will exit", args.Count());
Environment.Exit(-1);
}
if ("pyspark.daemon".Equals(args[1]))
{
var multiThreadWorker = new MultiThreadWorker();
multiThreadWorker.Run();
}
else
{
RunSimpleWorker();
}
}
public static void Main(string[] args)
{
assemblyHandler = new SparkCLRAssemblyHandler();
AppDomain.CurrentDomain.AssemblyResolve += assemblyHandler.Handle;
// can't initialize logger early because in MultiThreadWorker mode, JVM will read C#'s stdout via
// pipe. When initialize logger, some unwanted info will be flushed to stdout. But we can still
// use stderr
Console.Error.WriteLine("input args: [{0}] SocketWrapper: [{1}]",
string.Join(" ", args), SocketFactory.SocketWrapperType);
if (args.Length != 2)
{
Console.Error.WriteLine("Wrong number of args: {0}, will exit", args.Count());
Environment.Exit(-1);
}
if ("pyspark.daemon".Equals(args[1]))
{
if (SocketFactory.SocketWrapperType == SocketWrapperType.Rio)
{
// In daemon mode, the socket will be used as server.
// Use ThreadPool to retrieve RIO socket results has good performance
// than a single thread.
RioNative.SetUseThreadPool(true);
}
var multiThreadWorker = new MultiThreadWorker();
multiThreadWorker.Run();
}
else
{
RunSimpleWorker();
}
}
