JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Transaction Processing Method for NoSQL Based Column |
| 영문제목(English Title) |
Transaction Processing Method for NoSQL Based Column |
| 저자(Author) |
Jeong-Joon Kim
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| 원문수록처(Citation) |
VOL 13 NO. 06 PP. 1575 ~ 1584 (2017. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
As interest in big data has increased recently, NoSQL, a solution for storing and processing big data, is getting attention. NoSQL supports high speed, high availability, and high scalability, but is limited in areas where data integrity is important because it does not support multiple row transactions. To overcome these drawbacks, many studies are underway to support multiple row transactions in NoSQL. However, existing studies have a disadvantage that the number of transactions that can be processed per unit of time is low and performance is degraded. Therefore, in this paper, we design and implement a multi-row transaction system for data integrity in big data environment based on HBase, a column-based NoSQL which is widely used recently. The multirow transaction system efficiently performs multi-row transactions by adding columns to manage transaction information for every user table. In addition, it controls the execution, collision, and recovery of multiple row transactions through the transaction manager, and it communicates with HBase through the communication manager so that it can exchange information necessary for multiple row transactions. Finally, we performed a comparative performance evaluation with HAcid and Haeinsa, and verified the superiority of the multirow transaction system developed in this paper.
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| 키워드(Keyword) |
Bigdata
HBase
Multi-Row Transaction
NoSQL
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| 파일첨부 |
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