Compresión ZK

Canopy Depth

The number of top levels of a Concurrent Merkle Tree that are cached on-chain within the CMT account, reducing the Merkle proof size that clients must include in transactions. A canopy depth of D means the top D levels (2^D - 1 nodes) are stored on-chain, so clients only need to supply (tree_depth - D) sibling hashes instead of the full tree_depth. Deeper canopies reduce transaction size and compute costs but increase the CMT account's rent-exempt balance. Choosing optimal canopy depth is a cost trade-off between on-chain storage rent and per-transaction proof overhead.

IDcanopy-depth

Lectura rápida

Empieza por la explicación más corta y útil antes de profundizar.

The number of top levels of a Concurrent Merkle Tree that are cached on-chain within the CMT account, reducing the Merkle proof size that clients must include in transactions. A canopy depth of D means the top D levels (2^D - 1 nodes) are stored on-chain, so clients only need to supply (tree_depth - D) sibling hashes instead of the full tree_depth. Deeper canopies reduce transaction size and compute costs but increase the CMT account's rent-exempt balance. Choosing optimal canopy depth is a cost trade-off between on-chain storage rent and per-transaction proof overhead.

Modelo mental

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.

Contexto técnico

Ubica el término dentro de la capa de Solana en la que vive para razonar mejor sobre él.

Estado comprimido, pruebas y patrones de almacenamiento orientados a escala.

Por qué le importa a un builder

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.

Handoff para IA

Handoff para IA

Usa este bloque compacto cuando quieras dar contexto sólido a un agente o asistente sin volcar toda la página.

Canopy Depth (canopy-depth)
Categoría: Compresión ZK
Definición: The number of top levels of a Concurrent Merkle Tree that are cached on-chain within the CMT account, reducing the Merkle proof size that clients must include in transactions. A canopy depth of D means the top D levels (2^D - 1 nodes) are stored on-chain, so clients only need to supply (tree_depth - D) sibling hashes instead of the full tree_depth. Deeper canopies reduce transaction size and compute costs but increase the CMT account's rent-exempt balance. Choosing optimal canopy depth is a cost trade-off between on-chain storage rent and per-transaction proof overhead.
Relacionados: Canopy (Merkle Tree), Concurrent Merkle Tree, Merkle Proof
Glossary Copilot

Haz preguntas de Solana con contexto aterrizado sin salir del glosario.

Usa contexto del glosario, relaciones entre términos, modelos mentales y builder paths para recibir respuestas estructuradas en vez de output genérico.

Abrir workspace completa del Copilot
Explicar este código

Opcional: pega código Anchor, Solana o Rust para que el Copilot mapee primitivas de vuelta al glosario.

Haz una pregunta aterrizada en el glosario

Haz una pregunta aterrizada en el glosario

El Copilot responderá usando el término actual, conceptos relacionados, modelos mentales y el grafo alrededor del glosario.

Grafo conceptual

Ve el término como parte de una red, no como una definición aislada.

Estas ramas muestran qué conceptos toca este término directamente y qué existe una capa más allá de ellos.

Rama

Canopy (Merkle Tree)

The canopy is an optional on-chain cache of the upper N levels of a Concurrent Merkle Tree's nodes, stored within the CMT account itself, which eliminates the need for clients to pass those N levels as part of their Merkle proof in transactions, thereby reducing transaction size and cost. A canopy of depth D means the top D levels of the tree (2^D - 1 nodes) are always available on-chain; for a depth-20 tree with a canopy of 14, clients only need to supply 6 sibling hashes rather than 20, saving approximately 448 bytes of transaction data per instruction. Storing a deeper canopy increases the CMT account's rent-exempt balance linearly but makes interactions cheaper in compute units and transaction space, so selecting the optimal canopy depth is a cost trade-off for tree designers.

Rama

Concurrent Merkle Tree

A Concurrent Merkle Tree (CMT) is a specialized on-chain Solana data structure that allows multiple state updates to the same Merkle tree within a single block without conflicting, by recording a changelog buffer of recent root transitions that validators use to reconcile parallel proof submissions. A CMT is parameterized by its maximum depth (max_depth, determining tree capacity of 2^max_depth leaves), max_buffer_size (number of concurrent changes the changelog can track, directly controlling how many operations per slot the tree can safely absorb), and an optional canopy_depth. The SPL Account Compression program manages CMTs, and they are the foundational storage primitive for both Metaplex compressed NFTs and Light Protocol compressed accounts.

Rama

Merkle Proof

A Merkle proof is the minimal set of sibling node hashes (the proof path) along the branch from a specific leaf to the tree root, allowing anyone to independently verify that a given leaf is part of a Merkle tree by recomputing the root from the leaf hash and the sibling hashes without needing any other tree data. In Solana's state compression, every compressed account or compressed NFT interaction requires the caller to supply a valid Merkle proof; the on-chain program hashes the proof against the current root stored in the Concurrent Merkle Tree account to confirm inclusion before executing the state change. Proof size scales linearly with tree depth (e.g., a depth-20 tree requires up to 20 sibling hashes, each 32 bytes), so the canopy is used to pre-store upper-level nodes on-chain to reduce the proof data that must be passed in transactions.

Siguientes conceptos para explorar

Mantén la cadena de aprendizaje en movimiento en lugar de parar en una sola definición.

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.

Compresión ZK

Canopy (Merkle Tree)

The canopy is an optional on-chain cache of the upper N levels of a Concurrent Merkle Tree's nodes, stored within the CMT account itself, which eliminates the need for clients to pass those N levels as part of their Merkle proof in transactions, thereby reducing transaction size and cost. A canopy of depth D means the top D levels of the tree (2^D - 1 nodes) are always available on-chain; for a depth-20 tree with a canopy of 14, clients only need to supply 6 sibling hashes rather than 20, saving approximately 448 bytes of transaction data per instruction. Storing a deeper canopy increases the CMT account's rent-exempt balance linearly but makes interactions cheaper in compute units and transaction space, so selecting the optimal canopy depth is a cost trade-off for tree designers.

Compresión ZK

Concurrent Merkle Tree

A Concurrent Merkle Tree (CMT) is a specialized on-chain Solana data structure that allows multiple state updates to the same Merkle tree within a single block without conflicting, by recording a changelog buffer of recent root transitions that validators use to reconcile parallel proof submissions. A CMT is parameterized by its maximum depth (max_depth, determining tree capacity of 2^max_depth leaves), max_buffer_size (number of concurrent changes the changelog can track, directly controlling how many operations per slot the tree can safely absorb), and an optional canopy_depth. The SPL Account Compression program manages CMTs, and they are the foundational storage primitive for both Metaplex compressed NFTs and Light Protocol compressed accounts.

Compresión ZK

Merkle Proof

A Merkle proof is the minimal set of sibling node hashes (the proof path) along the branch from a specific leaf to the tree root, allowing anyone to independently verify that a given leaf is part of a Merkle tree by recomputing the root from the leaf hash and the sibling hashes without needing any other tree data. In Solana's state compression, every compressed account or compressed NFT interaction requires the caller to supply a valid Merkle proof; the on-chain program hashes the proof against the current root stored in the Concurrent Merkle Tree account to confirm inclusion before executing the state change. Proof size scales linearly with tree depth (e.g., a depth-20 tree requires up to 20 sibling hashes, each 32 bytes), so the canopy is used to pre-store upper-level nodes on-chain to reduce the proof data that must be passed in transactions.

Compresión ZK

Compressed Account

A compressed account is a Solana account whose state is stored as a leaf in an on-chain Concurrent Merkle Tree rather than as a dedicated on-chain account, making it 100–1,000x cheaper to create and maintain because no rent-exempt lamport balance is required per account. Compressed accounts are identified by a hash of their data and position in the tree; to interact with one, a client must supply a Merkle proof (or rely on the canopy) showing the leaf is part of the current tree root, which the on-chain program verifies before processing the state change. Light Protocol's compressed account model supports arbitrary data, discriminators, and owner programs, making it a general-purpose replacement for expensive on-chain accounts in high-volume use cases.

Comúnmente confundido con

Términos cercanos en vocabulario, acrónimo o vecindad conceptual.

Estas entradas son fáciles de mezclar cuando lees rápido, haces prompting a un LLM o estás entrando en una nueva capa de Solana.

Compresión ZKcanopy

Canopy (Merkle Tree)

The canopy is an optional on-chain cache of the upper N levels of a Concurrent Merkle Tree's nodes, stored within the CMT account itself, which eliminates the need for clients to pass those N levels as part of their Merkle proof in transactions, thereby reducing transaction size and cost. A canopy of depth D means the top D levels of the tree (2^D - 1 nodes) are always available on-chain; for a depth-20 tree with a canopy of 14, clients only need to supply 6 sibling hashes rather than 20, saving approximately 448 bytes of transaction data per instruction. Storing a deeper canopy increases the CMT account's rent-exempt balance linearly but makes interactions cheaper in compute units and transaction space, so selecting the optimal canopy depth is a cost trade-off for tree designers.

Términos relacionados

Sigue los conceptos que realmente le dan contexto a este término.

Las entradas del glosario se vuelven útiles cuando están conectadas. Estos enlaces son el camino más corto hacia ideas adyacentes.

Compresión ZKcanopy

Canopy (Merkle Tree)

The canopy is an optional on-chain cache of the upper N levels of a Concurrent Merkle Tree's nodes, stored within the CMT account itself, which eliminates the need for clients to pass those N levels as part of their Merkle proof in transactions, thereby reducing transaction size and cost. A canopy of depth D means the top D levels of the tree (2^D - 1 nodes) are always available on-chain; for a depth-20 tree with a canopy of 14, clients only need to supply 6 sibling hashes rather than 20, saving approximately 448 bytes of transaction data per instruction. Storing a deeper canopy increases the CMT account's rent-exempt balance linearly but makes interactions cheaper in compute units and transaction space, so selecting the optimal canopy depth is a cost trade-off for tree designers.

Compresión ZKconcurrent-merkle-tree

Concurrent Merkle Tree

A Concurrent Merkle Tree (CMT) is a specialized on-chain Solana data structure that allows multiple state updates to the same Merkle tree within a single block without conflicting, by recording a changelog buffer of recent root transitions that validators use to reconcile parallel proof submissions. A CMT is parameterized by its maximum depth (max_depth, determining tree capacity of 2^max_depth leaves), max_buffer_size (number of concurrent changes the changelog can track, directly controlling how many operations per slot the tree can safely absorb), and an optional canopy_depth. The SPL Account Compression program manages CMTs, and they are the foundational storage primitive for both Metaplex compressed NFTs and Light Protocol compressed accounts.

Compresión ZKmerkle-proof

Merkle Proof

A Merkle proof is the minimal set of sibling node hashes (the proof path) along the branch from a specific leaf to the tree root, allowing anyone to independently verify that a given leaf is part of a Merkle tree by recomputing the root from the leaf hash and the sibling hashes without needing any other tree data. In Solana's state compression, every compressed account or compressed NFT interaction requires the caller to supply a valid Merkle proof; the on-chain program hashes the proof against the current root stored in the Concurrent Merkle Tree account to confirm inclusion before executing the state change. Proof size scales linearly with tree depth (e.g., a depth-20 tree requires up to 20 sibling hashes, each 32 bytes), so the canopy is used to pre-store upper-level nodes on-chain to reduce the proof data that must be passed in transactions.

Más en la categoría

Quédate en la misma capa y sigue construyendo contexto.

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.

Compresión ZK

State Compression

State Compression is Solana's technique for storing the cryptographic fingerprint (root hash) of a Merkle tree on-chain while keeping the actual leaf data off-chain in the Solana ledger's account data logs, reducing the cost of storing large datasets by orders of magnitude. A compressed NFT collection of 1 million items costs roughly 50 SOL to mint versus ~12,000 SOL with standard SPL accounts, because only a single Concurrent Merkle Tree account occupies on-chain storage. Any data change requires updating the root hash and supplying a Merkle proof to the on-chain program, which verifies inclusion without reading the full dataset.

Compresión ZK

ZK Compression

ZK Compression, pioneered by Light Protocol, extends Solana's state compression model beyond NFTs to general-purpose compressed accounts by using zero-knowledge proofs (specifically Groth16 SNARKs verified via the alt_bn128 syscall) to prove the validity of state transitions without storing full account state on-chain. Compressed accounts live in on-chain Merkle trees but their data is reconstructed from the Solana ledger by indexers like Photon, enabling developers to build applications that use thousands of accounts at a fraction of the normal rent cost — often 1,000x to 5,000x cheaper than regular accounts. The protocol introduces compressed tokens, compressed PDAs, and a system of nullifiers to prevent double-spends while maintaining Solana's throughput.

Compresión ZK

Compressed Account

A compressed account is a Solana account whose state is stored as a leaf in an on-chain Concurrent Merkle Tree rather than as a dedicated on-chain account, making it 100–1,000x cheaper to create and maintain because no rent-exempt lamport balance is required per account. Compressed accounts are identified by a hash of their data and position in the tree; to interact with one, a client must supply a Merkle proof (or rely on the canopy) showing the leaf is part of the current tree root, which the on-chain program verifies before processing the state change. Light Protocol's compressed account model supports arbitrary data, discriminators, and owner programs, making it a general-purpose replacement for expensive on-chain accounts in high-volume use cases.

Compresión ZK

Concurrent Merkle Tree

A Concurrent Merkle Tree (CMT) is a specialized on-chain Solana data structure that allows multiple state updates to the same Merkle tree within a single block without conflicting, by recording a changelog buffer of recent root transitions that validators use to reconcile parallel proof submissions. A CMT is parameterized by its maximum depth (max_depth, determining tree capacity of 2^max_depth leaves), max_buffer_size (number of concurrent changes the changelog can track, directly controlling how many operations per slot the tree can safely absorb), and an optional canopy_depth. The SPL Account Compression program manages CMTs, and they are the foundational storage primitive for both Metaplex compressed NFTs and Light Protocol compressed accounts.