Inside TDengine

This chapter introduces TDengine's internal design, including cluster architecture, storage and query engines, virtual-table query optimization, data subscription (TMQ), stream processing, caching, compression, and logging. For product usage, see Stream Processing, Data Subscription, and TDengine SQL. This chapter focuses on mechanisms; use the corresponding product documentation as the source of truth for syntax and parameters.

📄️ Architecture

TDengine cluster architecture, logical nodes, storage, caching, persistence, replication, and tiered storage

📄️ Storage Engine

Internal design of the TDengine storage engine

📄️ Query Engine

TDengine query and computation module responsibilities and execution flow

📄️ Virtual Table Query Optimization

Aggregation pushdown and two-phase window-query splitting for virtual tables

📄️ Data Subscription

Internal TDengine data subscription (TMQ) design, including topics, consumer groups, WAL, and rebalancing

📄️ Stream Processing Engine

Overview of TDengine stream-processing internals, tasks, state, and fault tolerance

📄️ Data Caching

TDengine write-cache, read-cache, metadata-cache, and file-system-cache mechanisms

📄️ Data Compression

TDengine storage and transmission compression mechanisms

📄️ Logging System

TDengine normal logs and slow logs