in most real-world scenarios, buffering improves performance and is recommended:
- ✅ Reduces I/O system calls
- ✅ Speeds up character-by-character reading/writing
- ✅ Adds convenient methods:
readLine()
,newLine()
That’s why BufferedReader
and BufferedWriter
are used in 90%+ of text-processing code.
🤔 So… why not always?
There are a few cases where raw (unbuffered) streams/writers might be better:
1. Very small or one-time I/O
If you’re just writing or reading a few bytes or lines, buffering adds:
- Extra object creation
- Internal memory allocation (buffer arrays)
🔸 Example:
new FileWriter("log.txt").write("Done\n");
In this case, buffering won’t help much and might add unnecessary overhead.
2. Low-latency / Real-time output
Buffered writers only flush data when:
- Buffer is full
flush()
orclose()
is called
So if you’re writing to a real-time log file, socket, or console, buffering can delay output unless you flush()
manually.
🔥 Example:
BufferedWriter writer = new BufferedWriter(new FileWriter("log.txt"));
writer.write("ALERT!");
// The alert won't be in the file until flush/close
This is why logging frameworks usually auto-flush or avoid full buffering.
3. Memory-sensitive environments
Buffers consume memory (typically 8 KB or more). If you’re dealing with:
- Thousands of parallel I/O streams
- Limited-memory environments (IoT, embedded devices)
You might avoid buffers to reduce memory footprint.
4. Custom buffering already in place
Sometimes the underlying stream (e.g., a network framework or file cache) already performs buffering. Wrapping it again is unnecessary and may even interfere.
🧵 TL;DR
Use BufferedReader/Writer when… | Avoid when… |
---|---|
Reading/writing lots of data | Doing minimal I/O |
You want performance | You want immediate flush |
Working with files/text logs | Memory is tight |
Need readLine() | Output needs low latency |