MemBeR: A Micro-benchmark Repository for XQuery

Afanasiev, Loredana; Manolescu, Ioana; Michiels, Philippe

doi:10.1007/11547273_11

Cited by 28 publications

(37 citation statements)

References 16 publications

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“…the number of documents selected. Our benchmark queries focus on the navigational features of XPath, following the approach of the MemBeR XQuery Micro-Benchmark [2] (which provide some form of standardization for studying different aspects of XML data management systems). Comparative times for Wiki45 are not reported because neither XHive/DB nor XQuest DB could load the entire collection.…”

Section: Resultsmentioning

confidence: 99%

Fast Answering of XPath Query Workloads on Web Collections

Consens

Rizzolo

Database and XMLTechnologies

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Abstract. Several web applications (such as processing RSS feeds or web service messages) rely on XPath-based data manipulation tools. Web developers need to use XPath queries effectively on increasingly larger web collections containing hundreds of thousands of XML documents. Even when tasks only need to deal with a single document at a time, developers benefit from understanding the behaviour of XPath expressions across multiple documents (e.g., what will a query return when run over the thousands of hourly feeds collected during the last few months?). Dealing with the (highly variable) structure of such web collections poses additional challenges. This paper introduces DescribeX, a powerful framework that is capable of describing arbitrarily complex XML summaries of web collections, enabling the efficient evaluation of XPath workloads (supporting all the axes and language constructs in XPath). Experiments validate that DescribeX enables existing document-at-a-time XPath tools to scale up to multi-gigabyte XML collections.

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Section: Resultsmentioning

confidence: 99%

Fast Answering of XPath Query Workloads on Web Collections

Consens

Rizzolo

Database and XMLTechnologies

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“…2), (2) total time needed to execute all the queries in micro benchmarks 5 (fig. 3), and (3) query execution time of all the queries on the largest collection (fig.…”

Section: Resultsmentioning

confidence: 99%

“…As an example of the latter, consider the question whether the performance of males and females differs in parliament, and how that has changed over the years. To enable more comprehensive analysis of the RDF stores' performances, we grouped the benchmark queries into four micro benchmarks [5] with respect to the their analytical aims Average, Count, Factual and Top 10.…”

Section: Introductionmentioning

confidence: 99%

ParlBench: A SPARQL Benchmark for Electronic Publishing Applications

Tarasova

Marx

2013

Advanced Information Systems Engineering

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Abstract. ParlBench is a scalable RDF benchmark modelling a large scale electronic publishing scenario. The benchmark offers large collections of the Dutch parliamentary proceedings together with information about members of the parliament and political parties. The data is real, but free of intellectual property rights issues. On top of the benchmark data sets, several realistic application benchmarks as well as targeted micro benchmarks can be developed. This paper describes the benchmark data sets and 28 analytical queries covering a wide range of SPARQL constructs. The potential use of ParlBench is demonstrated by executing the query set for 8 different scalings of the benchmark data sets on Virtuoso RDF store. Measured on a standard laptop, data loading times varied from 43 seconds (for 1% of the data set) to 48 minutes (for the complete data set), and execution of the complete set of queries (1520 queries in total) varied from 9 minutes to 13 hours.

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“…But all the elements of these benchmarks including data and workload are based on RDBMS, which is unavailable for XML databases. As XML data is widely used, many benchmarks for XML databases have been proposed, such as: XMark [1], XOO7 [2], XBench [3], XMach-1 [4], TPoX [5], XPathMark [6], MBench [7], MemBeR [8]. They assess XML databases in various aspects.…”

Section: Related Workmentioning

confidence: 99%

A Scheme for Evaluating XML Engine on RDBMS

Si¹,

Zhou²,

Li³

et al. 2011

IJMECS

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Abstract-There are an increasing number of DBMS vendors thinking of integrating XML data management into traditional relational database, with wider use of XML. In this case, a comprehensive evaluation methodology is needed to evaluate the XML engine in RDBMS correctly. In this paper, we analyze the characteristics of XML engine and propose an evaluation strategy of XML engine in a RDBMS. We believe that the evaluation should include functional evaluation and performance evaluation, and cover several major aspects of DB such as storage, query and update. Then we designed an evaluation scheme for the XML engine in RDBMS according the strategy. The scheme describes an evaluation scene and contains a data set, workload and index set. The data set reflects the characteristics of both data-centric and document-centric XML data. The workload covers all of the requirements of XQuery in W3C. The index set covers the aspects of storage, indexing, query and update. In the end, we complete an experiment to test an actual computer system using the proposal. The result shows that the proposal is proper.

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MemBeR: A Micro-benchmark Repository for XQuery

Cited by 28 publications

References 16 publications

Fast Answering of XPath Query Workloads on Web Collections

Fast Answering of XPath Query Workloads on Web Collections

ParlBench: A SPARQL Benchmark for Electronic Publishing Applications

A Scheme for Evaluating XML Engine on RDBMS

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