+ Image credit: Johns Hopkins Dept. of Orthopedic Surgery
Real goal: fine‐grained, targeted fixes
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DTrace: making systems transparent Instrument majority of OS and all user‐level functions
Trace events generated by domain‐specific “providers”
Domain‐specific language specifies probe actions
Zero disabled probe cost
Safe: designed for non‐wizard use with production systems
Two‐way OS/app communication via process memory
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Disclaimer This talk is about a new way of looking at our tools, not about any one (use of a) tool. For concreteness, we’ll discuss a specific tool (DTrace) and problem class (scheduling) that I happen to be familiar with. Hopefully these examples inspire other/better uses for active observers within the DBMS.
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Example: diagnosing contention Sample‐based profiling (OS service) Post‐processing identifies samples due to contention (lock waits, atomic ops, etc.) Work breakdown 100%
Contention Compute More client threads
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Spinning and thread preemption
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DBMS records lock acquire/release, DTrace does the rest
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Priority inversion unmasked DTrace tracks locks held by pre‐empted threads, samples call stacks Worker threads record held/attempted locks in thread‐local storage
DTrace isolates samples where threads wait on pre‐empted locks
Work breakdown 100%
Prio‐invert Contention Compute
Post‐processing differentiates samples due to contention and priority inversion
Conclusions • Cooperation between DBMS and observability tools can be a powerful thing • Recurring theme: two‐way communication between OS/DBMS • What other active uses might be out there? • How to adapt our tools for these new uses?
Fighting back: Using observability tools to improve the ...
Using observability tools to improve the DBMS (not just ... For concreteness, we'll discuss a specific tool. (DTrace) and ... Sample-based profiling. (OS service).
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