Adaptive Query Processing

Deshpande, A., Ives, Z., & Raman, V. (2007). Adaptive Query Processing. Foundations and Trends in Databases, 1(1).

Type

Journal article

Intellectual base

Primary research

Year

2007

Volume

1

Issue

1

DOI

10.1561/1900000001

DOI registrant

Emerald

Link

https://doi.org/10.1561/1900000001

Cited from

systems_cybernetics

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Fast-Path / Slow-Path Architecture
  • manufacturing quality control (automated in-line inspection plus offline human inspection on flagged items), and database query planning (cached plans plus replanning when statistics drift).

    This sourceSurveys query plans cached/optimized up front with runtime feedback triggering re-optimization when cardinality estimates or statistics drift, supporting database query planning as fast/slow (cached plans plus replanning).

    Supported in partVerified against the publisher's abstract

    The survey's abstract backs only the database-query-planning clause — optimize-then-execute plus runtime-feedback re-optimization — and says nothing about legal procedure or manufacturing quality control.

    “there has been an acknowledgment that the traditional optimize-then-execute paradigm is insufficient. This has led to a plethora of new techniques, generally placed under the common banner of adaptive query processing, that focus on using runtime feedback to modify query processing in a way that provides better response time or more efficient CPU utilization.”

    Read by an automated reader; not a human review. How support was checked

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.

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Registry ID ref:4ed6c88f4819 · see in the full table