Jens Krüger, Christian Tinnefeld, Martin Grund, Alexander Zeier, Hasso Plattner A Case for Online Mixed Workload Processing.

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Presentation transcript:

Jens Krüger, Christian Tinnefeld, Martin Grund, Alexander Zeier, Hasso Plattner A Case for Online Mixed Workload Processing

Introduction A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest 2010 Data model acted as main guideline for DBMS development For a long time: few DBMSs for many different applications Recent DBMS discussions: heavily application oriented Two examples: Stonebraker et al– One size fits all Vogels et al- VLDB Keynote 2007 / Amazon Dynamo DBMS for Enterprise Applications Beginning of 1990s separation into OLTP and OLAP But, we claim: OLTP-style workloads also require the ability to frequently compute OLAP-style aggregate queries 2

Enterprise Applications 1.Company estimates future demand for its products – Demand Planning / Supply Chain Management 2.Customers contact the company and place orders – Sales Order Processing / Enterprise Resource Planning 3.The availability of the requested products have to be checked – Available-to-Promise / Supply Chain Management 4.Customers fall behind on their payments – Dunning / Financial Accounting 5.The company wants to analyze its sales performance – Sales Analytics / Enterprise Resource Planning A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Demand Planning A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Available-to-Promise A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Dunning A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Comparison of Application Characteristics A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Online Mixed Workload Processing A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest 2010 Large amount of data is needed to perform transactional query Nothing new, mixed workloads are a well established topic But: here they are originated by a single application. 8

Conclusion Not only Web 2.0 companies need application-specific data stores Mixed workloads are originated by a single application Huge potential for increasing performance and functionality of enterprise applications by supporting mixed workload Future Work Need for a Mixed Workload Benchmark TPC-E and TPC-H claim one part of the process separately But, OLTP-style workloads also require the ability to frequently compute OLAP-style aggregate queries DBMS Draft for Mixed Workloads Read-optimized, in-memory columnar store with transactional support A Case for Online Mixed Workload Processing | Christian Tinnefeld | DBTest

Backup Slides 10

Application Characteristics at Amazon 11

Sales Order Processing Data Logs 12