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Efficient Bulk Deletes for Multi Dimensional Clustered Tables in DB2

Summary: DB2 UDB Viper 2's MDC Rollout enables online bulk deletes on multi-dimensional clustered tables via asynchronous secondary RID index updates. Shows order-of-magnitude improvements and documents design lessons for rollout with many secondary indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9720
Venue
VLDB
Year
2007
Pagerank
5.2710946e-05
Overall Rank
9,426 | 35.33%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bhattacharjee_vldb07,
        title = {{Efficient Bulk Deletes for Multi Dimensional Clustered Tables in DB2}},
        author = {Bhattacharjee, Bishwaranjan and Malkemus, Timothy and Lau, Sherman and McKeough, Sean and Kirton, Jo-anne and Von Boeschoten, Robin and Kennedy, John P},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {1197--1208},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,755 Lethe: A Tunable Delete-Aware LSM Engine 2020 SIGMOD 8.163097e-05
3,244 Efficient Index Compression in DB2 LUW 2009 VLDB 7.6033499e-05
3,808 Making Updates Disk-I/O Friendly Using SSDs 2013 VLDB 7.1083217e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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