square/okio

Features

• File System Operations - Provides a unified cross-platform interface for atomic file operations and path manipulation across Windows and Unix.
• Queue-Based Buffers - Treats byte sequences as a growable queue that allows shifting data between buffers without copying memory.
• I/O Stream Managers - Provides streamlined interfaces to read from and write to files, paths, and other input/output streams.
• Streaming I/O - Provides a consistent interface for reading byte streams from network, storage, or memory buffers.
• Stream Transformations - Applies real-time decompression, encryption, or hashing to data as it is read from or written to a stream.
• General Write Buffering - Batches small writes into internal buffers to reduce the performance penalty of frequent I/O operations.
• Cross-Platform Asynchronous I/O Abstractions - Provides a unified interface for performing consistent file and disk operations across different operating systems.
• File I/O Management - Provides a comprehensive set of Java tools for efficient byte-stream processing and file system operations.
• File System Access - Provides a consistent interface for reading and writing files across multiple platforms for disk operations.
• In-Memory Byte Stream Processing - Implements memory-efficient byte stream processing using pooled arrays to minimize garbage collection overhead.
• Mutable Byte Buffers - Manages bytes as growable queues to significantly reduce memory copying and GC churn during I/O.
• Stream Adaptation Layers - Maps standard library input and output streams to a unified source and sink API for consistent data handling.
• Byte Buffer Pooling - Manages byte arrays in a shared pool to reuse memory and reduce garbage collection overhead during I/O.
• File System Abstractions - Provides interfaces that decouple high-level file operations from the underlying storage, supporting disk, ZIP, and in-memory systems.
• Memory Buffering - Manages byte buffers and streams with pooled memory to reduce garbage collection and improve I/O performance.
• Stream Decorators - Wraps basic data streams in decorators to perform real-time decompression, encryption, or hashing during read and write.
• Write Compression - Compresses output using Gzip or Deflate algorithms as data is written to a sink.
• Atomic File Operations - Executes high-level system tasks like atomic moves and metadata retrieval to leverage OS-level efficiencies.
• Streaming Data Transformers - Implements a pipeline for performing real-time Gzip compression, encryption, and cryptographic hashing on I/O streams.
• In-Memory File Systems - Ships a simulated in-memory file system for testing I/O operations without performing actual disk writes.
• Cross-Platform Path Manipulation - Handles both Windows and UNIX path styles regardless of the host operating system.
• Socket Networking - Enables reading and writing buffered data over network sockets to manage communication timing and timeouts efficiently.
• Zip Archive Access - Provides the ability to treat ZIP archives as read-only file systems for streamlined internal content access.
• Immutable Byte Sequences - Provides immutable byte sequences to optimize memory usage and simplify comparisons during stream processing.
• Data Stream Compression - Compresses or decompresses data using Gzip and Deflate algorithms during stream read and write operations.
• Gzip Decompression - Automatically decompresses Gzip-encoded content while reading from a data source.
• Hash Context Initializers - Provides the infrastructure to calculate hashes or MACs of data as it is streamed.
• Cryptographic Hash Verifiers - Calculates cryptographic hashes or message authentication codes in real-time during the write process.
• Data Encryption - Encrypts data using block ciphers while writing it to a destination sink.
• HMAC Generation - Computes HMACs using various hash algorithms to ensure the integrity and authenticity of streaming data.
• Input Stream Decryption - Automatically decrypts content using a specified cipher during the reading process from a data source.
• Stream Encryption and Decryption - Provides a pipeline for real-time encryption and decryption of data as it is read or written.
• Cryptographic Hash Computations - Computes cryptographic hashes and MACs for streaming data to verify content integrity and detect tampering.
• Automatic Stream Encryption - Automatically encrypts or decrypts data in real-time as it is read from or written to a stream.
• Byte Sequence Searching - Locates the index of specific byte sequences within a stream by dynamically expanding internal buffers.
• Path Normalizers - Resolves and transforms file paths by abstracting Windows and UNIX naming conventions into a single internal representation.
• Streaming Data Transformations - Layers sources to perform real-time operations such as decompression, decryption, or hashing as data is read.
• File System Mocking - Allows verifying file operations using a fake implementation to avoid modifying actual disk storage during tests.
• ProGuard Configurations - Provides I/O utility configuration rules.
• Serialization and I/O - Modern I/O API for Java applications.

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