Improve documentation

README.md

@@ -1,25 +1,101 @@
-# Compression in pure Java
+# Compression for Java
 [![Maven Central](https://img.shields.io/maven-central/v/io.airlift/aircompressor.svg?label=Maven%20Central)](https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22io.airlift%22%20AND%20a%3A%22aircompressor%22)
 
-This library contains implementations of
-[Zstandard](https://www.zstd.net/) (Zstd),
-[LZ4](https://www.lz4.org/),
-[Snappy](https://google.github.io/snappy/), and
-[LZO](https://www.oberhumer.com/opensource/lzo/) written in pure Java. They are 
-typically 10-40% faster than the JNI wrapper for the native libraries.  
-Additionally implementations of GZIP and Deflate using the Java built-in library, 
-and pure Java BZip2 implementations are provided for ease of integrations with
-systems that need these algorithms. 
+This library provides a set of compression algorithms implemented in pure Java and 
+where possible native implementations. The Java implementations use `sun.misc.Unsafe`
+to provide fast access to memory. The native implementations use `java.lang.foreign`
+to interact directly with native libraries without the need for JNI.
 
-# Hadoop CompressionCodec
+# Usage
+
+Each algorithm provides a simple block compression API using the `io.airlift.compress.Compressor` 
+and `io.airlift.compress.Decompressor` classes. Block compression is the simplest form of
+which simply compresses a small block of data provided as a `byte[]`, or more generally a
+`java.lang.foreign.MemorySegment`. Each algorithm may have one or more streaming format
+which typically produces a sequence of block compressed chunks.
+
+## byte array API
+```java
+byte[] data = ...
+
+Compressor compressor = new Lz4JavaCompressor();
+byte[] compressed = new byte[compressor.maxCompressedLength(data.length)];
+int compressedSize = compressor.compress(data, 0, data.length, compressed, 0, compressed.length);
+
+Decompressor decompressor = new Lz4JavaDecompressor();
+byte[] uncompressed = new byte[data.length];
+int uncompressedSize = decompressor.decompress(compressed, 0, compressedSize, uncompressed, 0, uncompressed.length);
+```
+
+## MemorySegment API
+```java
+Arena arena = ...
+MemorySegment data = ...
+
+Compressor compressor = new Lz4JavaCompressor();
+MemorySegment compressed = arena.allocate(compressor.maxCompressedLength(toIntExact(data.byteSize())));
+int compressedSize = compressor.compress(data, compressed);
+compressed = compressed.asSlice(0, compressedSize);
+
+Decompressor decompressor = new Lz4JavaDecompressor();
+MemorySegment uncompressed = arena.allocate(data.byteSize());
+int uncompressedSize = decompressor.decompress(compressed, uncompressed);
+uncompressed = uncompressed.asSlice(0, uncompressedSize);
+```
+
+# Algorithms
+
+## [Zstandard (Zstd)](https://www.zstd.net/) **(Recommended)**
+Zstandard is the recommended algorithm for most compression. It provides
+superior compression and performance at all levels compared to zlib. Zstandard is
+an excellent choice for most use cases, especially storage and bandwidth constrained
+network transfer.
+
+The native implementation of Zstandard is provided by the `ZstdNativeCompressor` and
+`ZstdNativeDecompressor` classes. The Java implementation is provided by the
+`ZstdJavaCompressor` and `ZstdJavaDecompressor` classes.
+
+The Zstandard streaming format is supported by the `ZstdInputStream` and `ZstdOutputStream`.
+
+## [LZ4](https://www.lz4.org/)
+LZ4 is an extremely fast compression algorithm that provides compression ratios comparable
+to Snappy and LZO. LZ4 is an excellent choice for applications that require high-performance
+compression and decompression.
+
+The native implementation of LZ4 is provided by the `Lz4NativeCompressor` and `Lz4NativeDecompressor` 
+classes. The Java implementation is provided by the `Lz4JavaCompressor` and `Lz4JavaDecompressor`
+
+## [Snappy](https://google.github.io/snappy/)
+Snappy is not as fast as LZ4, but provides a guarantee on memory usage that makes it a good
+choice for extremely resource-limited environments (e.g. embedded systems like a network 
+switch). If your application is not highly resource constrained, LZ4 is a better choice.
+
+The native implementation of Snappy is provided by the `SnappyNativeCompressor` and `SnappyNativeDecompressor`
+classes. The Java implementation is provided by the `SnappyJavaCompressor` and `SnappyJavaDecompressor`
+
+The Snappy framed format is supported by the `SnappyFramedInputStream` and `SnappyFramedOutputStream`
+classes.
+
+## [LZO](https://www.oberhumer.com/opensource/lzo/) 
+LZO is only provided for compatibility with existing systems that use LZO. We recommend 
+reencoding LZO data using Zstandard or LZ4. 
+
+The Java implementation of LZO is provided by the `LzoJavaCompressor` and `LzoJavaDecompressor` classes.
+Due to licensing issues, the LZO only has a Java implementation which is based on the LZ4 codebase.
+
+# Hadoop Compression
 
 In addition to the raw block encoders, there are implementations of the
-Hadoop CompressionCodec (Streaming) for each algorithm. They are
-typically 300% faster than the JNI wrappers.
+Hadoop Streams for the above algorithms. In addition, implementations of
+GZIP and BZip2 are provided so that all standard Hadoop algorithms are available.
+
+The `HadoopStreams` class provides a factory for creating `InputStream` and `OutputStream`
+implementations without the need for any Hadoop dependencies.  For environments 
+that have Hadoop dependencies, each algorithm also provides a `CompressionCodec` class.
 
 # Requirements
 
-This library requires a Java 1.8+ virtual machine containing the `sun.misc.Unsafe` interface running on a little endian platform.
+This library requires a Java 22+ virtual machine containing the `sun.misc.Unsafe` interface running on a little endian platform.
 
 # Users