Distributed systems model where replicas may temporarily diverge but converge to the same state given sufficient time without new updates. Contrasts with strong consistency where reads always return the latest write. Solana RPC nodes may exhibit eventual consistency — different nodes may return different slot data briefly before converging.
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Distributed systems model where replicas may temporarily diverge but converge to the same state given sufficient time without new updates. Contrasts with strong consistency where reads always return the latest write. Solana RPC nodes may exhibit eventual consistency — different nodes may return different slot data briefly before converging.
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Eventual Consistency (eventual-consistency) Category: Programming Fundamentals Definition: Distributed systems model where replicas may temporarily diverge but converge to the same state given sufficient time without new updates. Contrasts with strong consistency where reads always return the latest write. Solana RPC nodes may exhibit eventual consistency — different nodes may return different slot data briefly before converging. Related: CAP Theorem, Concurrency / Parallelism, RPC (Remote Procedure Call)
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Brewer's CAP theorem: a distributed system can provide at most two of three guarantees — Consistency, Availability, and Partition tolerance. Solana prioritizes availability and partition tolerance, choosing to continue producing blocks during network partitions and using commitment levels (processed, confirmed, finalized) to offer tunable consistency.
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.
The JSON-RPC 2.0 protocol interface through which clients communicate with Solana nodes to query chain state, submit transactions, and subscribe to events. Solana exposes a rich set of HTTP and WebSocket endpoints (e.g., getAccountInfo, sendTransaction) that abstract direct peer-to-peer network participation, making RPC the primary integration point for wallets, dApps, and indexers.
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Brewer's CAP theorem: a distributed system can provide at most two of three guarantees — Consistency, Availability, and Partition tolerance. Solana prioritizes availability and partition tolerance, choosing to continue producing blocks during network partitions and using commitment levels (processed, confirmed, finalized) to offer tunable consistency.
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.
The JSON-RPC 2.0 protocol interface through which clients communicate with Solana nodes to query chain state, submit transactions, and subscribe to events. Solana exposes a rich set of HTTP and WebSocket endpoints (e.g., getAccountInfo, sendTransaction) that abstract direct peer-to-peer network participation, making RPC the primary integration point for wallets, dApps, and indexers.
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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.