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How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates

Related publications (32)

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Functional Pearl: A SQL to C Compiler in 500 Lines of Code

Tiark Rompf, Nada Amin

We present the design and implementation of a SQL query processor that outperforms existing database systems and is written in just about 500 lines of Scala code - a convincing case study that high-level functional programming can handily beat C for system ...

Assoc Computing Machinery2015

Functional Pearl: A SQL to C Compiler in 500 Lines of Code’

Tiark Rompf, Nada Amin

We present the design and implementation of a SQL query processor that outperforms existing database systems and is written in just about 500 lines of Scala code – a convincing case study that high-level functional programming can handily beat C for system ...

2015

Runtime Prediction for Scale-Out Data Analytics

Adrian Daniel Popescu

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

EPFL2015

Query Optimization in Oracle 12c Database In-Memory

Ramachandra Satyanarayana Valluri

Traditional on disk row major tables have been the dominant storage mechanism in relational databases for decades. Over the last decade, however, with explosive growth in data volume and demand for faster analytics, has come the recognition that a differen ...

2015

An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Christoph Koch, Immanuel Trummer

Query plans offer diverse tradeoffs between conflicting cost metrics such as execution time, energy consumption, or execution fees in a multi-objective scenario. It is convenient for users to choose the desired cost tradeoff in an interactive process, dyna ...

2015

Approximation schemes for many-objective query optimization

Christoph Koch, Immanuel Trummer

The goal of multi-objective query optimization (MOQO) is to find query plans that realize a good compromise between conicting objectives such as minimizing execution time and minimizing monetary fees in a Cloud scenario. A previously proposed exhaustive MO ...

ACM Press2014

Approximation Schemes for Many-Objective Query Optimization

Christoph Koch, Immanuel Trummer

The goal of multi-objective query optimization (MOQO) is to find query plans that realize a good compromise between conflicting objectives such as minimizing execution time and minimizing monetary fees in a Cloud scenario. A previously proposed exhaustive ...

2014

Building Efficient Query Engines in a High-Level Language

Christoph Koch, Ioannis Klonatos, Tiark Rompf, Hassan Chafi

In this paper we advocate that it is time for a radical rethinking of database systems design. Developers should be able to leverage high-level programming languages without having to pay a price in efficiency. To realize our vision of abstraction without ...

2014

An Embedded Query Language in Scala

Amir Shaikhha

In this thesis we address the problem of integrating general purpose programming languages with relational databases. An approach to solving this problem is using raw strings to represent SQL statements. This approach leads to runtime errors and security v ...

2013

Sharing Data and Work Across Concurrent Analytical Queries

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Iraklis Psaroudakis

Today's data deluge enables organizations to collect massive data, and analyze it with an ever-increasing number of concurrent queries. Traditional data warehouses (DW) face a challenging problem in executing this task, due to their query-centric model: ea ...

2013