A New Model for Testing CRUD Operations in a NoSQL Database

González-Aparicio, María Teresa; Younas, Muhammad; Tuya, Javier; Casado, Rubén

doi:10.1109/aina.2016.147

Cited by 13 publications

(13 citation statements)

References 15 publications

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“…The different components of the (above) architecture communicate with each other in order to execute transactional and nontransactional CRUD operations [45]. We devise an execution protocol which comprises various steps.…”

Section: Execution Protocolmentioning

confidence: 99%

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Testing of transactional services in NoSQL key-value databases

Gonzlez-Aparicio

Younas

Tuya

et al. 2018

Future Generation Computer Systems

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Abstract-Transactional services guarantee the consistency of shared data during the concurrent execution of multiple applications. They have been used in various domains ranging from classical databases through to service-oriented computing systems to NoSQL databases and cloud. Though transactional services aim to ensure data consistency, NoSQL databases prioritise efficiency/availability over data consistency. In order to address these issues various transaction models and protocols have been proposed in the literature. However, testing of transactions in NoSQL database has not been addressed. In this paper, we investigate into the testing of transactional services in NoSQL databases in order to test and analyse the data consistency by taking into account the characteristics of NoSQL databases such as efficiency, velocity, etc. Accordingly, we develop a framework for testing transactional services in NoSQL databases. The novelty and contributions are that we develop a context-aware transactional model that takes into account contextual requirements of NoSQL clients and the system level setting in relation to the data consistency. This can assist NoSQL application developers in choosing between transactional and non-transactional services based on their requirements of the level of data consistency. The framework also provides ways to analyse the impact of the big data requirements and characteristics (e.g., velocity, efficiency) on the data consistency of NoSQL databases. The evaluation and testing are carried out using a widely used NoSQL key/value database, Riak, and a real (open) and big data from the Council of London for public transportation of the London bus services.

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Section: Execution Protocolmentioning

confidence: 99%

“…1. This based on extension to our previous work [45]. It has been designed following a combination of both a client layer and a middleware layer.…”

Section: Architecture Designmentioning

confidence: 99%

Testing of transactional services in NoSQL key-value databases

Gonzlez-Aparicio

Younas

Tuya

et al. 2018

Future Generation Computer Systems

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“…Google system follows loosely coupled architecture which consists of Google File System (File tier) [13], Bigtable (record manager) [14], and Megastore (for transaction) [15]. Other examples of key-value databases, following loosely coupled architecture, are Spanner [16], G-Store [17], Deuteromony [18], CloudTPS [19], and ReTSO [6,20].…”

Section: Architecture Of Nosql Databasesmentioning

confidence: 99%

“…The work presented in this paper is built on our ongoing project on NoSQL databases [6,7]. This paper investigates into the transaction processing of the two representatives and widely used NoSQL Document and Key-value databases; MongoDB and Riak.…”

mentioning

confidence: 99%

“…Building transaction models and implementing them involve various factors. Transactions must adhere to certain transaction properties or correctness criteria such as Atomicity, Consistency, Isolation, Durability (ACID), semantic atomicity, eventual consistency and so on [6]. They should cater for concurrent execution of requests accessing and modifying shared data.…”

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confidence: 99%

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Transaction processing in consistency-aware user’s applications deployed on NoSQL databases

González-Aparicio

Ogunyadeka

Younas

et al. 2017

Hum. Cent. Comput. Inf. Sci.

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NoSQL databases are capable of storing and processing big data which is characterized by various properties such as volume, variety and velocity. Such databases are used in a variety of user applications that need large volume of data which is highly available and efficiently accessible. But they do not enforce or require strong data consistency nor do they support transactions. This paper investigates into the transaction processing in consistency-aware applications hosted on MongoDB and Riak which are two representatives of Document and Key-Value NoSQL databases, respectively. It develops new transaction schemes in order to provide NoSQL databases with transactional facilities as well as to analyze the effects of transactions on data consistency and efficiency in user’s applications. The proposed schemes are evaluated using the YCSB + T benchmark which is based on Yahoo! Cloud Services Benchmark (YCSB). Experimental results show that using the proposed schemes, strong consistency can be achieved in MongoDB and Riak without severely affecting their efficiency. We also conduct experiments in order to analyse the level of consistencyof MongoDB and Riak transactional systems.

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