Główne pojęcia
The author presents a novel fault recovery technique called write-ahead lineage, which minimizes overhead and speeds up fault recovery in pipelined query engines.
Streszczenie
The content discusses the implementation of write-ahead lineage for efficient fault tolerance in distributed pipelined query engines. It compares this approach to traditional methods like spooling and checkpointing, highlighting its benefits in terms of performance and overhead.
The paper introduces Quokka, a distributed query engine implementing write-ahead lineage, showcasing its superior performance compared to SparkSQL and Trino on the TPC-H benchmark. The study emphasizes the importance of dynamic task dependencies and efficient fault recovery strategies in modern data processing systems.
Key points include:
- Introduction of write-ahead lineage for fault tolerance in pipelined query engines.
- Comparison with traditional approaches like spooling and checkpointing.
- Implementation details of Quokka and its performance on the TPC-H benchmark.
- Discussion on dynamic task dependencies and their impact on system efficiency.
Statystyki
"Quokka is around 2x faster than SparkSQL on the TPC-H benchmark"
"Lineage-based replay combined with write-ahead logging minimizes overhead"
"Spooling incurs significant overhead during normal execution"
"Checkpointing can be more expensive than spooling for SQL queries"
Cytaty
"The core challenge we address is tracking lineage in a pipelined system with dynamic task dependencies."
"Write-ahead lineage allows Quokka to only persist KB-sized lineage information."
"Quokka's implementation is competitive with state-of-the-art data processing systems."