ksuid is a Go implementation of k-sortable unique identifiers. It provides a system for generating globally unique identifiers that maintain a natural chronological order based on their generation timestamp. The project enables the creation of unique keys across distributed systems without a central coordinator. These identifiers are designed for use as database primary keys to maintain index performance and insert efficiency. The library includes capabilities for identifier serialization and parsing, allowing conversion between binary, text, and SQL formats. It also provides command-line to
Snowflake is a distributed unique ID generation service designed to produce non-colliding, time-ordered identification numbers at high scale. It functions as a scalable ID issuer that creates distinct entity identifiers across multiple server nodes to avoid coordination bottlenecks. The system utilizes stateless identifier coordination, calculating unique IDs through a deterministic mathematical formula rather than relying on a central database to track the last issued number. This approach allows it to generate identifiers for distributed database primary keys and high-scale transaction trac
This project provides the official specification for ULIDs, which are 128-bit identifiers that combine a millisecond-precision timestamp and random data. These identifiers are designed to be lexicographically sortable, ensuring that they maintain a strict chronological sequence for database indexing and time-based sorting. The specification defines a standard for binary-to-string serialization using a Crockford-inspired Base32 alphabet. This encoding is intended to produce human-readable strings while excluding ambiguous characters to prevent transcription errors. The technical standards cov
FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database engine that ensures strict serializability and data consistency across a cluster of servers using a shared-nothing architecture. The system is distinguished by its multi-region replication capabilities, allowing data to be synchronized across different datacenters for high availability and disaster recovery. It utilizes optimistic concurrency control to manage distributed transactions and employs a majority-based coordination system to maintain cluster state. The platform provides