Scalable Learning to Troubleshoot Query Performance Problems-Reference-Cited by-同舟云学术

Scalable Learning to Troubleshoot Query Performance Problems

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Mihaylov Alexandar¹,Corvinelli Vincent²,Godfrey Parke³,Mierzejewski Piotr²,Szlichta Jaroslaw¹,Zuzarte Calisto²

Affiliation:

1. Ontario Tech University & IBM CAS, Toronto, Canada

2. IBM Ltd., Toronto, Canada

3. York University & IBM CAS, Toronto, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3481947

Reference27 articles.

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2. Memory-efficient hash joins

3. N. Bruno S. Chaudhuri and R. Ramamurthy. 2009a. Interactive Plan Hints for Query Optimization. In SIGMOD. 1043--1046. N. Bruno S. Chaudhuri and R. Ramamurthy. 2009a. Interactive Plan Hints for Query Optimization. In SIGMOD. 1043--1046.

4. N. Bruno S. Chaudhuri and R. Ramamurthy. 2009b. Power Hints for Query Optimization. In ICDE. 469--480. N. Bruno S. Chaudhuri and R. Ramamurthy. 2009b. Power Hints for Query Optimization. In ICDE. 469--480.

5. IBM Knowledge Center. 2021. IBM InfoSphere Optim Query Workload Tuner. https://www.ibm.com/support/knowledgecenter/en/SSEPGG_11.1.0/com.ibm.db2.luw.idm.tools.doc/doc/c0057033.html IBM Knowledge Center. 2021. IBM InfoSphere Optim Query Workload Tuner. https://www.ibm.com/support/knowledgecenter/en/SSEPGG_11.1.0/com.ibm.db2.luw.idm.tools.doc/doc/c0057033.html

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