Help users index MUD Store events, process on-chain table mutations, store in PostgreSQL or EF Core, normalise schemas, run continuous sync. Use when users mention MUD indexing, Store events, MUD PostgreSQL, MUD EF Core, StoreEventsLogProcessingService, or building an indexer for MUD World data.
Every MUD table mutation emits a Store event. By processing these events, you can rebuild the complete state of any MUD World and store it in PostgreSQL with typed relational tables.
dotnet add package Nethereum.Mud.Contracts
# For PostgreSQL normalisation:
dotnet add package Nethereum.Mud.Repositories.Postgres
# For EF Core (any database):
dotnet add package Nethereum.Mud.Repositories.EntityFramework
var storeEventsService = new StoreEventsLogProcessingService(web3, worldAddress);
var repository = new InMemoryTableRepository();
await storeEventsService.ProcessAllStoreChangesAsync(repository);
// repository now contains full current state
var normaliser = new MudPostgresStoreRecordsNormaliser(connectionString, worldAddress);
await normaliser.UpsertAsync(repository);
Creates typed PostgreSQL tables: {namespace}__{tableName} with proper column types.
var queryService = new NormalisedTableQueryService(connectionString);
var tables = await queryService.GetAvailableTablesAsync();
var results = await queryService.QueryAsync("app__Player", limit: 100);
var count = await queryService.CountAsync("app__Player");
var processor = storeEventsService.CreateProcessor(
repository,
blockProgressRepository: new InMemoryBlockchainProgressRepository(),
numberOfBlocksPerRequest: 1000);
await processor.ExecuteAsync(cancellationToken);
var receipt = await playerService.SetRecordRequestAndWaitForReceiptAsync(key, value);
await StoreEventsLogProcessingService.ProcessAllStoreChangesFromLogs(repository, receipt);
| Strategy | Best For |
|---|---|
InMemoryTableRepository | Development, testing |
MudEFCoreTableRepository | Any EF Core database, simple persistence |
| PostgreSQL normalisation | Production, analytics, explorer UIs |
For full documentation, see: https://docs.nethereum.com/docs/mud-framework/guide-mud-indexing
Spring Boot中的JPA/Hibernate模式，用于实体设计、关系处理、查询优化、事务管理、审计、索引、分页和连接池。