The Graph

The Graph provides tools and infrastructure for indexing blockchain data and querying it through GraphQL. A subgraph defines how network information becomes entities an application can query. This supports histories, filters and relationships that would be costly to reconstruct through RPC for every request.

An index is a derived representation of the chain. Its value depends on correct transformation rules and indexing progress. A GraphQL response does not establish that data reflects the latest block or replace state checks before preparing a critical transaction or business decision.

Subgraphs include a manifest defining sources and handlers, an entity schema and mappings commonly written in AssemblyScript. Handlers process information and update entities. Configuration defines the starting block and how events relate to stable identifiers across the resulting data model.

Graph Node is primarily implemented in Rust. Infrastructure can be self-operated or accessed through ecosystem services according to deployment needs. Network coverage and capabilities should be checked for the selected destination; historical chain lists do not establish support across every publishing or hosting option.

A deposit history can retain individual movements and account-level aggregates. Applications query result pages and show transaction references for investigating discrepancies. Identifiers prevent collisions between events within one transaction and link entities without depending on their visual order in the interface.

Queries can include indexing-block and error information. Products should decide when delayed data is acceptable and when to indicate that a view is stale. Reproducible analysis benefits from a shared block reference across queries that are expected to describe the same state of the protocol.

Mappings have execution and determinism constraints; they are not arbitrary backends that query private APIs and perform any background work. Combining sensitive business logic with external data may call for a custom indexer or complementary architecture with clearly defined responsibilities.

Schema or mapping changes can require rebuilding the index and updating consumers. Budgets include queries, indexing and operations under the chosen deployment model rather than a universal fee. Selection depends on data shape, tolerable latency and the ability to detect incomplete or stale results.