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Java fast data transfer from client to multi server

Codacy Badge Known Vulnerabilities Maintainability

Streamfork makes it possible to connect the input streaming data to a multi-source Outputstream directly!

Server example

Starting three server on localhost from port 8050 to 8052:

int TEST_SERVER_COUNT = 3;
int PORT_RANGE = 8050;
ExecutorService executorService = Executors.newFixedThreadPool(TEST_SERVER_COUNT);
for (int i = 0; i < TEST_SERVER_COUNT; i++){
    int finalI = i;
    executorService.execute(() -> new SFServer().start("127.0.0.1", (PORT_RANGE + finalI), 100));
}

Client example

Let's create a temp file for sending to the servers:

File inputFile = File.createTempFile("temp", "txt");
FileWriter fileWriter = new FileWriter(inputFile);
PrintWriter printWriter = new PrintWriter(fileWriter);
printWriter.print("Lorem Ipsum is simply dummy text of the printing" +
        " and typesetting industry.");
printWriter.close();
InputStream fileStream = new FileInputStream(inputFile);

//for read directly from stream
InputStream fileStream2 = new FileInputStream(inputFile);

int len;
byte[] data = null;
while ((len = fileStream.available()) > 0){
    data = StreamReader.read(fileStream, len);
}

Let's connecting a client to the started servers:

SFClient client = SFClient.get(StreamMode.Parallel)
        .addServer("127.0.0.1", 8050)
        .addServer("127.0.0.1", 8051)
        .addServer("127.0.0.1", 8052)
        .setAutoClosable(true);
        
//read file content from byte array
String name = UUID.randomUUID().toString().substring(0, 16);
StreamBlock block = new StreamBlock(name, data);
client.write(block);

//or read from InputStream
String name2 = UUID.randomUUID().toString().substring(0, 16);
StreamBlock block2 = new StreamBlock(name2, fileStream2);
client.write(block2);

In the provided example, 3 servers are started and a client sends a file with a random fixed name length (16 char) to the servers and each server saves the file in the files folder under the classpath directory.

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Java fast data transfer over tcp with low overhead and multi-server support

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