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Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters

Summary: Quickr lazily injects samplers into optimized query plans, approximating complex ad-hoc queries without precomputed samples. Its universe sampler supports multi-input joins, while accuracy analysis preserves groups and bounds aggregates; TPC-DS achieves median 2× resource reduction at cluster scale. (summarized by gpt-5.6-luna on Jul 21 2026)

Paper ID
5193
Venue
SIGMOD
Year
2016
Pagerank
0.00013815639
Overall Rank
819 | 94.39%
DOI
10.1145/2882903.2882940

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kandula_sigmod16,
        title = {{Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters}},
        author = {Kandula, Srikanth and Shanbhag, Anil and Vitorovic, Aleksandar and Olma, Matthaios and Grandl, Robert and Chaudhuri, Surajit and Ding, Bolin},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882940},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882940},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
11,845 Query-Driven Learning for Next Generation Predictive Modeling & Analytics 2019 SIGMOD 5.093636e-05
11,902 Tighter Upper Bounds for Join Cardinality Estimates 2018 SIGMOD 5.093636e-05
11,916 Demonstration of VerdictDB, the Platform-Independent AQP System 2018 SIGMOD 5.093636e-05
Previous Page 2 / 2 Next

Outgoing Citations (Sorted by Pagerank)

Showing 25 of 25 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
6 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0010686205
9 Online Aggregation 1997 SIGMOD 0.00077458002
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
26 Models and Issues in Data Stream Systems 2002 PODS 0.00052982574
30 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00051174276
32 Hive - A Warehousing Solution Over a Map-Reduce Framework 2009 VLDB 0.00050111008
51 Dremel: Interactive Analysis of Web-Scale Datasets 2010 VLDB 0.0004291425
54 On Random Sampling over Joins 1999 SIGMOD 0.00040810225
122 Approximate Frequency Counts over Data Streams 2002 VLDB 0.00031260115
150 Query Processing, Resource Management, and Approximation in a Data Stream Management System 2003 CIDR 0.00029208207
327 The Aqua Approximate Query Answering System 1999 SIGMOD 0.00021091539
508 Random Sampling for Histogram Construction: How much is enough? 1998 SIGMOD 0.00017275873
553 Congressional Samples for Approximate Answering of Group-By Queries 2000 SIGMOD 0.00016590619
689 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00014940023
909 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013291205
1,009 Online Aggregation for Large MapReduce Jobs 2011 VLDB 0.00012684342
1,064 Scalable Approximate Query Processing With The DBO Engine 2007 SIGMOD 0.00012336248
1,401 Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems 2014 SIGMOD 0.00010889902
1,582 SciBORQ: Scientific data management with Bounds On Runtime and Quality 2011 CIDR 0.00010295367
1,827 G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data 2015 SIGMOD 9.6690206e-05
1,872 The Analytical Bootstrap: a New Method for Fast Error Estimation in Approximate Query Processing 2014 SIGMOD 9.5759874e-05
2,413 A Sampling Algebra for Aggregate Estimation 2013 VLDB 8.6116764e-05
2,608 A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries 2001 SIGMOD 8.347674e-05
4,696 Error-bounded Sampling for Analytics on Big Sparse Data 2014 VLDB 6.557612e-05
5,193 Sampling Algorithms in a Stream Operator 2005 SIGMOD 6.3238562e-05
Previous Page 1 / 1 Next

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