HTAP With Reactive Streaming ETL
| Autor: | Joseph G. Vella, Carl Camilleri, Vitezslav Nezval |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Databases
Hardware_MEMORYSTRUCTURES Database management Information Systems and Management OLAP technology Linked data Strategy and Management InformationSystems_DATABASEMANAGEMENT Transaction systems (Computer systems) Processing (Computer program language) Computer Science Applications Information Systems |
| Zdroj: | Journal of Cases on Information Technology. 23:1-19 |
| ISSN: | 1548-7725 1548-7717 |
| DOI: | 10.4018/jcit.20211001.oa10 |
| Popis: | In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or online analytical processing (OLAP). These often run within separate DBMSs. In hybrid transactional and analytical processing (HTAP), both workloads may execute within the same DBMS. This article shows that it is possible to run separate OLTP and OLAP DBMSs and still support timely business decisions from analytical queries running off fresh transactional data. Several setups to manage OLTP and OLAP workloads are analysed. Then, benchmarks on two industry standard DBMSs empirically show that, under an OLTP workload, a row-store DBMS sustains a 1000 times higher throughput than a columnar DBMS, whilst OLAP queries are more than four times faster on a columnar DBMS. Finally, a reactive streaming ETL pipeline is implemented which connects these two DBMSs. Separate benchmarks show that OLTP events can be streamed to an OLAP database within a few seconds. peer-reviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|