Journal of East China Normal University(Natural Science) >
Research and implementation of transactional real-time data ingestion technology without blocking
Received date: 2016-06-27
Online published: 2016-11-29
With the advent of big data era, traditional database systems are facing difficulties in satisfying the new challenges brought by massive data processing, while distributed database systems have been deployed widely in real applications. Distributed database systems partitioned and the dispatched the data across machines under a designed scheme and analyzed all the massive data in massive parallel manner. In facing of the requirements of the transactional real-time data ingestion from financial field, distributed database systems are ineffective and inefficient due to their implementation of the distributed transaction processing based on the lock and two-phase commit, which lead to the impossibility of non-blocking data ingestion. CLAIMS is a distributed in-memory database system designed and implemented by Institute for Data Science and Engineering of ECNU. It supports real-time data analysis towards relational data set but is incapable of real-time data ingestion. To address these problems, we analyzed data ingestion technology and distributed transaction processing algorithms first, and proposed to mimic the transactional data ingestion in the distributed environment with the centralized transaction processing based on meta data, and eventually achieved the real-time data ingestion with high availability and without blocking. The experiment results with the implementation of the proposed algorithms in CLAIMS proved that the proposed framework could achieve high throughput transactional real-time data ingestion as well as low latency real-time
query processing.
YU Kai , LI Zhi-fang , ZHOU Min-qi , ZHOU Ao-ying . Research and implementation of transactional real-time data ingestion technology without blocking[J]. Journal of East China Normal University(Natural Science), 2016 , 2016(5) : 131 -143 . DOI: 10.3969/j.issn.1000-5641.2016.05.015
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