Concurrency control strategy where transactions execute without acquiring locks, then validate at commit time that no conflicts occurred. If conflicts are detected, the transaction is retried. Solana's runtime uses optimistic concurrency for parallel transaction execution — it schedules non-conflicting transactions simultaneously and retries those that touch overlapping accounts.
Empieza por la explicación más corta y útil antes de profundizar.
Concurrency control strategy where transactions execute without acquiring locks, then validate at commit time that no conflicts occurred. If conflicts are detected, the transaction is retried. Solana's runtime uses optimistic concurrency for parallel transaction execution — it schedules non-conflicting transactions simultaneously and retries those that touch overlapping accounts.
Usa primero la analogía corta para razonar mejor sobre el término cuando aparezca en código, docs o prompts.
Piensa en esto como un bloque de construcción que conecta una definición aislada con el sistema mayor donde vive.
Ubica el término dentro de la capa de Solana en la que vive para razonar mejor sobre él.
Serialización, memoria, estructuras de datos y bases de ingeniería.
Convierte el término de vocabulario en algo operacional para producto e ingeniería.
Este término desbloquea conceptos adyacentes rápido, así que funciona mejor cuando lo tratas como un punto de conexión y no como una definición aislada.
Usa este bloque compacto cuando quieras dar contexto sólido a un agente o asistente sin volcar toda la página.
Optimistic Concurrency (optimistic-concurrency) Categoría: Fundamentos de Programación Definición: Concurrency control strategy where transactions execute without acquiring locks, then validate at commit time that no conflicts occurred. If conflicts are detected, the transaction is retried. Solana's runtime uses optimistic concurrency for parallel transaction execution — it schedules non-conflicting transactions simultaneously and retries those that touch overlapping accounts. Relacionados: Concurrency / Parallelism, Parallel Transaction Execution, Account Locking (Read/Write)
Usa contexto del glosario, relaciones entre términos, modelos mentales y builder paths para recibir respuestas estructuradas en vez de output genérico.
Opcional: pega código Anchor, Solana o Rust para que el Copilot mapee primitivas de vuelta al glosario.
El Copilot responderá usando el término actual, conceptos relacionados, modelos mentales y el grafo alrededor del glosario.
Estas ramas muestran qué conceptos toca este término directamente y qué existe una capa más allá de ellos.
Concurrency: structuring a program to handle multiple tasks that may overlap in time. Parallelism: executing multiple tasks simultaneously on multiple CPU cores. Solana's Sealevel engine achieves parallelism by analyzing transaction account dependencies—transactions touching different writable accounts execute in parallel. Understanding concurrency is essential for optimizing Solana program design.
Solana's ability to process multiple transactions simultaneously by analyzing their account access lists and executing non-conflicting transactions in parallel across CPU cores via the Sealevel runtime. Two transactions can run in parallel only if they do not share any writable accounts; transactions sharing a writable account are serialized. This design allows Solana to fully exploit modern multi-core hardware and is a primary contributor to its high throughput.
The mechanism by which Solana's scheduler reserves access to accounts for the duration of a transaction's execution, granting either shared read locks (multiple transactions can hold simultaneously) or exclusive write locks (only one transaction at a time). Before execution, the runtime inspects every transaction's declared account list and grants or denies locks accordingly, preventing data races without requiring a global mutex. Transactions that cannot acquire all required locks are queued or dropped, making correct account declaration in transaction instructions critical for both correctness and landing probability.
Estos son los siguientes conceptos que vale la pena abrir si quieres que este término tenga más sentido dentro de un workflow real de Solana.
Estas entradas son fáciles de mezclar cuando lees rápido, haces prompting a un LLM o estás entrando en una nueva capa de Solana.
Concurrency: structuring a program to handle multiple tasks that may overlap in time. Parallelism: executing multiple tasks simultaneously on multiple CPU cores. Solana's Sealevel engine achieves parallelism by analyzing transaction account dependencies—transactions touching different writable accounts execute in parallel. Understanding concurrency is essential for optimizing Solana program design.
Las entradas del glosario se vuelven útiles cuando están conectadas. Estos enlaces son el camino más corto hacia ideas adyacentes.
Concurrency: structuring a program to handle multiple tasks that may overlap in time. Parallelism: executing multiple tasks simultaneously on multiple CPU cores. Solana's Sealevel engine achieves parallelism by analyzing transaction account dependencies—transactions touching different writable accounts execute in parallel. Understanding concurrency is essential for optimizing Solana program design.
Solana's ability to process multiple transactions simultaneously by analyzing their account access lists and executing non-conflicting transactions in parallel across CPU cores via the Sealevel runtime. Two transactions can run in parallel only if they do not share any writable accounts; transactions sharing a writable account are serialized. This design allows Solana to fully exploit modern multi-core hardware and is a primary contributor to its high throughput.
The mechanism by which Solana's scheduler reserves access to accounts for the duration of a transaction's execution, granting either shared read locks (multiple transactions can hold simultaneously) or exclusive write locks (only one transaction at a time). Before execution, the runtime inspects every transaction's declared account list and grants or denies locks accordingly, preventing data races without requiring a global mutex. Transactions that cannot acquire all required locks are queued or dropped, making correct account declaration in transaction instructions critical for both correctness and landing probability.
Estas entradas viven junto al término actual y ayudan a que la página se sienta parte de un grafo de conocimiento más amplio en lugar de un callejón sin salida.
A systems programming language emphasizing memory safety, zero-cost abstractions, and concurrency without a garbage collector. Rust uses an ownership model with borrow checking at compile time to prevent data races and null pointer bugs. It is the primary language for Solana program development (via Anchor or native solana-program crate) and the Agave validator client.
A statically typed superset of JavaScript that compiles to plain JavaScript. TypeScript adds type annotations, interfaces, generics, and enums to catch errors at compile time. It is the standard language for Solana client-side development—wallet adapters, dApp frontends, test suites, and SDK interactions (web3.js, Anchor client) are typically written in TypeScript.
The ubiquitous scripting language for web development, running in browsers and Node.js. JavaScript is dynamically typed and event-driven. Most Solana dApp frontends and scripts use JavaScript/TypeScript with libraries like @solana/web3.js. Node.js enables server-side JS for backend services, indexers, and bot development.
A JavaScript runtime built on Chrome's V8 engine that enables server-side JavaScript execution. Node.js uses an event-driven, non-blocking I/O model. In the Solana ecosystem, Node.js is used for: running Anchor tests (Mocha/Jest), backend services, transaction bots, indexers, and CLI tools. npm/yarn/pnpm manage JavaScript package dependencies.