implementing performance optimization in a Large Scala 3.1.2 Application Using ZIO Streams
I've tried everything I can think of but I'm relatively new to this, so bear with me... I'm working with important performance optimization in my Scala application built with ZIO and ZIO Streams. We're using Scala 3.1.2, and our application processes a large amount of data in a streaming manner. Specifically, I'm trying to read a large CSV file, transform the data, and then output it to another file. However, the processing speed is unacceptably slow, and it seems to be related to how I'm managing resources and stream composition. Here's a simplified version of my code: ```scala import zio._ import zio.stream._ val inputFilePath = "path/to/input.csv" val outputFilePath = "path/to/output.csv" val processStream: ZStream[Any, Throwable, String] = ZStream.fromFile(inputFilePath) .transduce(ZTransducer.splitLines) .map(line => transform(line)) val program: ZIO[Any, Throwable, Unit] = processStream.run(ZSink.fromFile(outputFilePath)) def transform(line: String): String = { // Your transformation logic here line.toUpperCase() // Example transformation } val runtime = Runtime.default runtime.unsafeRun(program) ``` When I run the application, it takes an unusually long time to process even moderately sized files. I've explored various options for performance tuning, such as increasing the chunk size and modifying the backpressure settings, but nothing seems to make a important difference. Additionally, I've noticed the application occasionally throws a `java.io.IOException: Insufficient space` behavior, which doesn't seem consistent with the actual disk space available. I suspect there might be an scenario with how I'm managing backpressure or buffering in ZIO Streams. Has anyone encountered similar issues or have suggestions on best practices for optimizing ZIO Stream performance, especially when dealing with large datasets? Any insights or code adjustments would be greatly appreciated! What's the correct way to implement this? This issue appeared after updating to Scala 3.10. Cheers for any assistance! The stack includes Scala and several other technologies.