AIM: A practical approach to automated index management for SQL databases | Paper Citation Record

Observation 136d3bfe-54ae-493d-a8ec-cf9ddff5edc9 · outbound

This paper cites Database tuning advisor for Microsoft SQL Server 2005,.

AIM: A practical approach to automated index management for SQL databases Database tuning advisor for Microsoft SQL Server 2005,

Reference 1

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Observation 09f6e1e7-b621-4ab3-b97e-f7db375bf720 · outbound

This paper cites An online approach to physical design tun- ing,.

AIM: A practical approach to automated index management for SQL databases An online approach to physical design tun- ing,

Reference 2

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Observation 0318b5e6-001b-45f5-bae8-a226329868b6 · outbound

This paper cites An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server,.

AIM: A practical approach to automated index management for SQL databases An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server,

Reference 3

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Observation 4c47019b-5d01-46ba-82ad-4cdd2a18b4a4 · outbound

This paper cites AutoAdmin “What-If.

AIM: A practical approach to automated index management for SQL databases AutoAdmin “What-If

Reference 4

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Observation 12bceab4-a568-4f61-8aa7-83f272ba56e1 · outbound

This paper cites Self-Tuning Database Systems: A Decade of Progress,.

AIM: A practical approach to automated index management for SQL databases Self-Tuning Database Systems: A Decade of Progress,

Reference 5

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Observation ee7c27a1-4f4d-4a71-8d94-03b07534f38b · outbound

This paper cites Automatic SQL tuning in Oracle 10g,.

AIM: A practical approach to automated index management for SQL databases Automatic SQL tuning in Oracle 10g,

Reference 6

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Observation e660b796-1784-4bba-8ae0-5dc202d61048 · outbound

This paper cites Db2 advisor: An optimizer smart enough to recommend its own indexes,.

AIM: A practical approach to automated index management for SQL databases Db2 advisor: An optimizer smart enough to recommend its own indexes,

Reference 7

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Observation ed567407-acea-4416-a7c9-a4bae6e6a5e6 · outbound

This paper cites DB2 Design Advisor: Integrated Automatic Physical Database Design,.

AIM: A practical approach to automated index management for SQL databases DB2 Design Advisor: Integrated Automatic Physical Database Design,

Reference 8

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Observation 8e96edc3-a17e-465d-9dc9-c4dc444eafe5 · outbound

This paper cites Index selection for databases: A hardness study and a principled heuristic solution,.

AIM: A practical approach to automated index management for SQL databases Index selection for databases: A hardness study and a principled heuristic solution,

Reference 9

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Observation 22c72ca4-407e-4173-85ba-3f65263a708c · outbound

This paper cites How good are query optimizers, really?,.

AIM: A practical approach to automated index management for SQL databases How good are query optimizers, really?,

Reference 10

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Observation f7ab453b-c6bb-4af8-ba55-005c9abceb97 · outbound

This paper cites Efficient scalable multi- attribute index selection using recursive strategies,.

AIM: A practical approach to automated index management for SQL databases Efficient scalable multi- attribute index selection using recursive strategies,

Reference 11

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Observation f5ef85bb-e43d-40fc-9323-03734a968c9b · outbound

This paper cites Chaudhuri and V.

AIM: A practical approach to automated index management for SQL databases Chaudhuri and V

Reference 12

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Observation 86363583-0bb5-4b37-8dd9-6a120e43a774 · outbound

This paper cites an unresolved cited work.

AIM: A practical approach to automated index management for SQL databases Unresolved cited work

Reference 13

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Observation 211322a1-810b-4268-a14a-9b77f63c972e · outbound

This paper cites Magic mirror in my hand, which is the best in the land? an experimental evaluation of index selection algorithms,.

AIM: A practical approach to automated index management for SQL databases Magic mirror in my hand, which is the best in the land? an experimental evaluation of index selection algorithms,

Reference 14

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Observation 98cb040d-939f-4bb0-92c6-696528736b1a · outbound

This paper cites Efficient use of the query optimizer for automated physical design,.

AIM: A practical approach to automated index management for SQL databases Efficient use of the query optimizer for automated physical design,

Reference 15

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Observation 24509dc7-1ab9-4038-9595-456795f80e41 · outbound

This paper cites Partially ordered sets,.

AIM: A practical approach to automated index management for SQL databases Partially ordered sets,

Reference 16

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Observation e8404854-c032-414c-a61e-23c8462d9b19 · outbound

This paper cites Ordinal sums and equational doctrines,.

AIM: A practical approach to automated index management for SQL databases Ordinal sums and equational doctrines,

Reference 17

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Observation 0fbf231d-1add-4791-a39c-fc4b14adfa34 · outbound

This paper cites an unresolved cited work.

AIM: A practical approach to automated index management for SQL databases Unresolved cited work

Reference 18

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Observation 590d6137-fadc-4eaa-a3a9-000c78bffe85 · outbound

This paper cites an unresolved cited work.

AIM: A practical approach to automated index management for SQL databases Unresolved cited work

Reference 19

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Observation 3130b551-af6e-4fe2-b6b2-53a76a9c4012 · outbound

This paper cites Algorithms for knapsack problems,.

AIM: A practical approach to automated index management for SQL databases Algorithms for knapsack problems,

Reference 20

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Observation c43ec58a-928d-4172-bda7-8c8476fbf2d2 · outbound

This paper cites Factorizing Complex Predicates in Queries to Exploit Indexes,.

AIM: A practical approach to automated index management for SQL databases Factorizing Complex Predicates in Queries to Exploit Indexes,

Reference 21

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Observation 5bcf02ac-43c7-4736-8d82-8f1f332bfd51 · outbound

This paper cites https://dev.mysql.com/doc/refman/8.0/en/ range-optimization.html#range-access-multi-part.

AIM: A practical approach to automated index management for SQL databases https://dev.mysql.com/doc/refman/8.0/en/ range-optimization.html#range-access-multi-part

Reference 22

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Observation 2ff21bca-e75f-4046-896f-efb1b1b33ba3 · outbound

This paper cites https://dev.mysql.com/doc/refman/8.0/en/ index-condition-pushdown-optimization.htm.

AIM: A practical approach to automated index management for SQL databases https://dev.mysql.com/doc/refman/8.0/en/ index-condition-pushdown-optimization.htm

Reference 23

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Observation b3f28627-7027-4034-be43-cee28cdd465f · outbound

This paper cites https://dev.

AIM: A practical approach to automated index management for SQL databases https://dev

Reference 24

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Observation 93ffe95e-acf4-440f-99fb-b24b637e0f60 · outbound

This paper cites On the optimal nesting order for computing n-relational joins,.

AIM: A practical approach to automated index management for SQL databases On the optimal nesting order for computing n-relational joins,

Reference 25

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Observation 459a7dea-4263-4042-b160-eaf1a311967b · outbound

This paper cites Analyzing Plan Diagrams of Database Query Optimizers,.

AIM: A practical approach to automated index management for SQL databases Analyzing Plan Diagrams of Database Query Optimizers,

Reference 26

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Observation f25e59ce-7ef2-40d0-a6c0-12e3676c86b3 · outbound

This paper cites CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads.

AIM: A practical approach to automated index management for SQL databases CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-28T20:22:37.563703Z

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Observation 58129d3b-ca57-44d9-a99b-169293e7a92d · outbound

This paper cites https://github.

AIM: A practical approach to automated index management for SQL databases https://github

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 0324ca06-a9df-433b-a3ab-cafbfa974e7b · outbound

This paper cites Index selection in relational databases,.

AIM: A practical approach to automated index management for SQL databases Index selection in relational databases,

Reference 29

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Observation 3ae3e53e-d9d6-4608-8ae8-bc118c5fcd79 · outbound

This paper cites Automatic physical database tuning: A relaxation-based approach,.

AIM: A practical approach to automated index management for SQL databases Automatic physical database tuning: A relaxation-based approach,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 5b41632d-df96-45e6-b411-36a8a8a4176f · outbound

This paper cites https: //github.com/HypoPG/hypopg.

AIM: A practical approach to automated index management for SQL databases https: //github.com/HypoPG/hypopg

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation dbd56365-ffc8-486c-8c96-0db7e616ad01 · outbound

This paper cites https: //dev.mysql.com/doc/refman/8.0/en/innodb-limits.html.

AIM: A practical approach to automated index management for SQL databases https: //dev.mysql.com/doc/refman/8.0/en/innodb-limits.html

Reference 32

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Observation 98c684ed-b193-4498-a580-4b6e95b69ff9 · outbound

This paper cites AutoIndex: An Incremental Index Management System for Dynamic Workloads,.

AIM: A practical approach to automated index management for SQL databases AutoIndex: An Incremental Index Management System for Dynamic Workloads,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 11a54a9d-64bc-4357-a244-a68e485daf96 · outbound

This paper cites On-line index selection for shifting workloads,.

AIM: A practical approach to automated index management for SQL databases On-line index selection for shifting workloads,

Reference 34

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Observation 4dfa5d0d-2745-42e8-a504-ee508eeba65d · outbound

This paper cites FlexiRaft: Flexible Quorums with Raft,.

AIM: A practical approach to automated index management for SQL databases FlexiRaft: Flexible Quorums with Raft,

Reference 35

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Observation 5b1ad784-9a5c-4d51-a931-02731c4c3acc · outbound

This paper cites Apache Kafka: Next generation distributed messaging system,.

AIM: A practical approach to automated index management for SQL databases Apache Kafka: Next generation distributed messaging system,

Reference 36

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Observation 5bb51a74-881f-42d9-b97e-62dc0f77a91a · outbound

This paper cites Predicting query execution time: Are optimizer cost models really unusable?,.

AIM: A practical approach to automated index management for SQL databases Predicting query execution time: Are optimizer cost models really unusable?,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 0f02916e-b326-4439-a701-1511868187da · outbound

This paper cites https://dev.mysql.com/doc/refman/8.0/en/range-optimization.

AIM: A practical approach to automated index management for SQL databases https://dev.mysql.com/doc/refman/8.0/en/range-optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 53fbbeee-86ec-40a3-b814-b02af0c35495 · outbound

This paper cites https://dev.mysql.com/doc/refman/8.0/en/ index-merge-optimization.html.

AIM: A practical approach to automated index management for SQL databases https://dev.mysql.com/doc/refman/8.0/en/ index-merge-optimization.html

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 9f236241-20ce-47d5-9053-dd26479c985a · outbound

This paper cites https: //bugs.mysql.com/bug.php?id=100253.

AIM: A practical approach to automated index management for SQL databases https: //bugs.mysql.com/bug.php?id=100253

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 15dd77ce-33a8-490f-8b54-9653ed39e0ec · outbound

This paper cites https://bugs.mysql.com/bug.php? id=80390.

AIM: A practical approach to automated index management for SQL databases https://bugs.mysql.com/bug.php? id=80390

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 533b6485-32be-44f0-b6a4-2390107a8a0b · outbound

This paper cites A quantitative approach to the selection of secondary indexes,.

AIM: A practical approach to automated index management for SQL databases A quantitative approach to the selection of secondary indexes,

Reference 42

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Observation 6700ee21-fe62-4060-89e7-05a1b110507e · outbound

This paper cites Configuration-parametric query optimiza- tion for physical design tuning,.

AIM: A practical approach to automated index management for SQL databases Configuration-parametric query optimiza- tion for physical design tuning,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 4e7c3464-f763-48ae-8afa-c2ebe785fc99 · outbound

This paper cites Budget-aware Index Tuning with Reinforcement Learning,.

AIM: A practical approach to automated index management for SQL databases Budget-aware Index Tuning with Reinforcement Learning,

Reference 44

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Observation 27e223ed-7dc6-4bd9-add2-84efc30a90f3 · outbound

This paper cites Automated physical designers: what you see is (not) what you get,.

AIM: A practical approach to automated index management for SQL databases Automated physical designers: what you see is (not) what you get,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 1476ae46-b3fc-497f-9435-317b53e54571 · outbound

This paper cites Automatically indexing millions of databases in Microsoft Azure SQL database,.

AIM: A practical approach to automated index management for SQL databases Automatically indexing millions of databases in Microsoft Azure SQL database,

Reference 46

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Observation 17f7d5c4-c05c-4f4c-b798-b657272d2b94 · outbound

This paper cites Exact and approximate al- gorithms for the index selection problem in physical database design,.

AIM: A practical approach to automated index management for SQL databases Exact and approximate al- gorithms for the index selection problem in physical database design,

Reference 47

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Observation 5d80fcbc-de4b-4b70-bec3-99baa094bd4e · outbound

This paper cites A branch-and-cut algorithm for a general- ization of the uncapacitated facility location problem,.

AIM: A practical approach to automated index management for SQL databases A branch-and-cut algorithm for a general- ization of the uncapacitated facility location problem,

Reference 48

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Observation 62aa4878-50dc-44f6-a138-374da5ec47b0 · outbound

This paper cites Regularized cost-model oblivious database tuning with reinforce- ment learning,.

AIM: A practical approach to automated index management for SQL databases Regularized cost-model oblivious database tuning with reinforce- ment learning,

Reference 49

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Observation 3c23fb0f-9829-420c-8abe-da65446c3d79 · outbound

This paper cites The Case for Automatic Database Administration using Deep Reinforcement Learning.

AIM: A practical approach to automated index management for SQL databases The Case for Automatic Database Administration using Deep Reinforcement Learning

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-28T20:22:37.566978Z

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Observation 94445b72-56a1-4456-8d1a-3c5eb676cffa · outbound

This paper cites Online index selection using deep reinforcement learning for a cluster database,.

AIM: A practical approach to automated index management for SQL databases Online index selection using deep reinforcement learning for a cluster database,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 9ecf5d16-260d-4287-b695-78ed6a817831 · outbound

This paper cites DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees,.

AIM: A practical approach to automated index management for SQL databases DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees,

Reference 52

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Observation 5e03313f-92e6-4601-8d25-f5585929896c · outbound

This paper cites UDO: Universal Database Optimization using Reinforcement Learning.

AIM: A practical approach to automated index management for SQL databases UDO: Universal Database Optimization using Reinforcement Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:22:37.570004Z

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Observation b90ba142-54e3-487c-b4ed-c45ac608c675 · outbound

This paper cites AI meets AI: Leveraging query executions to improve index recom- mendations,.

AIM: A practical approach to automated index management for SQL databases AI meets AI: Leveraging query executions to improve index recom- mendations,

Reference 54

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Observation e216a86e-ea70-4ab3-b6cf-f1a4052c2042 · outbound

This paper cites Deep learning models for selectivity estimation of multi-attribute queries,.

AIM: A practical approach to automated index management for SQL databases Deep learning models for selectivity estimation of multi-attribute queries,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T19:54:08.625834Z

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Observation 54bd11ff-d101-46a4-a464-d72f9a18d329 · outbound

This paper cites Which Sort Orders Are Interesting?,.

AIM: A practical approach to automated index management for SQL databases Which Sort Orders Are Interesting?,

Reference 56

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