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Alex Tran

dblp:204/3734 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 62% Cloud and datacenter computing · 19% Distributed systems · 19%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines
index maintenance
0.312017
Resumable Online Index Rebuild in SQL Server · Proc. VLDB Endow. 2017
Indexing and storage engines › index maintenance
online index rebuild
0.312017
Resumable Online Index Rebuild in SQL Server · Proc. VLDB Endow. 2017
Storage systems
storage reliability
0.312017
Resumable Online Index Rebuild in SQL Server · Proc. VLDB Endow. 2017
Cloud and datacenter computing
database-as-a-service
0.112017
Resumable Online Index Rebuild in SQL Server · Proc. VLDB Endow. 2017
Distributed systems
database availability
0.112017
Resumable Online Index Rebuild in SQL Server · Proc. VLDB Endow. 2017

Methods — techniques the papers use, named apart from their topics

state persistence · 0.6incremental work units · 0.6
YearPublicationVenuePosition
2017 Resumable Online Index Rebuild in SQL Server
abstract
Azure SQL Database and the upcoming release of SQL Server enhance Online Index Rebuild to provide fault-tolerance and allow index rebuild operations to resume after a system failure or a user-initiated pause. SQL Server is the first commercial DBMS to support pause and resume functionality for index rebuilds. This is achieved by splitting the operation into incremental units of work and persisting the required state so that it can be resumed later with minimal loss of progress. At the same time, the proposed technology minimizes the log space required for the operation to succeed, making it possible to rebuild large indexes using only a small, constant amount of log space. These capabilities are critical to guarantee the reliability of these operations in an environment where a) the database sizes are increasing at a much faster pace compared to the available hardware, b) system failures are frequent in Cloud architectures using commodity hardware, c) software upgrades and other maintenance tasks are automatically handled by the Cloud platforms, introducing further unexpected failures for the users and d) most modern applications need to be available 24/7 and have very tight maintenance windows. This paper describes the design of "Resumable Online Index Rebuild" and discusses how this technology can be extended to cover more schema management operations in the future.
Panagiotis Antonopoulos, Hanuma Kodavalla, Alex Tran, Nitish Upreti, Chaitali Shah, Mirek Sztajno
Proc. VLDB Endow.3