A Methodology for Query Processing over Distributed XML Databases

نویسندگان

  • Guilherme Figueiredo
  • Vanessa Braganholo
  • Marta Mattoso
چکیده

The constant increase in the volume of data stored as native XML documents makes fragmentation techniques an important alternative to the performance issues in query processing over these data. Fragmented databases are feasible only if there is a transparent way to query the distributed database, without the need of knowing the fragmentation details and where each fragment is located. This paper presents our methodology for XQuery query processing over distributed XML databases, which consists on the steps of query decomposition, including the query’s TLC algebra representation; data localization; global optimization; global query execution and final result assembly. This methodology can be used in an XML database that allows fragmentation and also in a system that publishes an integrated view of semi-autonomous and homogeneous XML databases. We propose an architecture based on a Mediator with Adaptors (wrappers) attached to remote databases. The Mediator publishes a global XML view of the distributed data, which can be queried by users in a transparent way. A Mediator and two Adapters prototypes have been implemented and experiments were executed, where we could analyze the performance improvements and impacts of different queries over distributed XML databases.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Processing Queries over Distributed XML Databases

The increasing volume of data stored as XML documents makes fragmentation techniques an alternative to the performance issues in query processing. Fragmented databases are feasible only if there is a transparent way to query the distributed database. Fragments allow for intra-query parallel processing and data reduction. This paper presents our methodology for XQuery query processing over distr...

متن کامل

Query Decomposition Using the XML Declarative Description Language

Query decomposition is one of the most important phases of query processing in an integrated database system. A global query is decomposed into several sub-queries conforming to local formats, which can be used to extract data from distributed databases. In this paper a new query decomposition methodology for integrated XML databases is introduced. A special construction of mappings is also int...

متن کامل

Metadata Services for Distributed Event Stream Processing Agents

Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such as relational databases and XML data. Such applications require access to the metadata information for these different data sources. This paper discusses the design and implementation of a servicebased dynamic metadata...

متن کامل

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

متن کامل

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007