Devel-Op| An Optimizer Development Environment

<p> Recent advances in underlying architectures of database management systems (DBMS) have motivated the redesign of key DBMS components such as the query optimizer (optimizer). Optimizers are hard to implement well as they are inherently complex, error-prone, and difficult to maintain. Debugg...

Full description

Bibliographic Details
Main Author: Peng, Zhibo
Language:EN
Published: Brandeis University 2018
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=10681532
id ndltd-PROQUEST-oai-pqdtoai.proquest.com-10681532
record_format oai_dc
spelling ndltd-PROQUEST-oai-pqdtoai.proquest.com-106815322018-05-03T16:04:46Z Devel-Op| An Optimizer Development Environment Peng, Zhibo Computer science <p> Recent advances in underlying architectures of database management systems (DBMS) have motivated the redesign of key DBMS components such as the query optimizer (optimizer). Optimizers are hard to implement well as they are inherently complex, error-prone, and difficult to maintain. Debugging an optimizer is another complex and time-consuming task in optimizer development. But there exists no software engineering tools to facilitate their development. </p><p> In this thesis, we present a two-pronged approach to facilitate optimizer development: 1. facilitate the specification and generation of optimizer components that can be tested under a variety of conditions and over a variety of queries, and 2. provide tools for profiling and debugging generated optimizers that include visualization and debugger-like optimizer tracing at various granularities. </p><p> We introduce our development environment for query optimizers (A [Devel]opment Envi-ronment for [Op]timizers, or Devel-Op) consisting of a suite of tools designed to facilitate the <i>Profiling</i> and <i>Rapid Prototyping </i> of optimizer components. Our current version of Devel-Op supports the debugging and profiling optimizers and their components, and permits declarative specification and generation of two key optimizer components: the <i> Logical Plan Enumerator</i> (LPE) and the <i>Physical Plan Generator </i> (PPG). We present our work that enables profiling and debugging of optimizer components by describing the [D]evel-Op [O]ptimizer [V]isualization [E]nvironment (DOVE) and demonstrating possible debugging traces in optimizer development. We present our work that facilitates specification and generation of optimizer components by describing tools for declaratively specifying enumeration and plan generation optimizer components and compilers for generating optimizer components from these specifications. We also present the usability experiments we conducted to evaluate the usability of Devel-Op tools comparing with another debugger GDB.</p><p> Brandeis University 2018-05-01 00:00:00.0 thesis http://pqdtopen.proquest.com/#viewpdf?dispub=10681532 EN
collection NDLTD
language EN
sources NDLTD
topic Computer science
spellingShingle Computer science
Peng, Zhibo
Devel-Op| An Optimizer Development Environment
description <p> Recent advances in underlying architectures of database management systems (DBMS) have motivated the redesign of key DBMS components such as the query optimizer (optimizer). Optimizers are hard to implement well as they are inherently complex, error-prone, and difficult to maintain. Debugging an optimizer is another complex and time-consuming task in optimizer development. But there exists no software engineering tools to facilitate their development. </p><p> In this thesis, we present a two-pronged approach to facilitate optimizer development: 1. facilitate the specification and generation of optimizer components that can be tested under a variety of conditions and over a variety of queries, and 2. provide tools for profiling and debugging generated optimizers that include visualization and debugger-like optimizer tracing at various granularities. </p><p> We introduce our development environment for query optimizers (A [Devel]opment Envi-ronment for [Op]timizers, or Devel-Op) consisting of a suite of tools designed to facilitate the <i>Profiling</i> and <i>Rapid Prototyping </i> of optimizer components. Our current version of Devel-Op supports the debugging and profiling optimizers and their components, and permits declarative specification and generation of two key optimizer components: the <i> Logical Plan Enumerator</i> (LPE) and the <i>Physical Plan Generator </i> (PPG). We present our work that enables profiling and debugging of optimizer components by describing the [D]evel-Op [O]ptimizer [V]isualization [E]nvironment (DOVE) and demonstrating possible debugging traces in optimizer development. We present our work that facilitates specification and generation of optimizer components by describing tools for declaratively specifying enumeration and plan generation optimizer components and compilers for generating optimizer components from these specifications. We also present the usability experiments we conducted to evaluate the usability of Devel-Op tools comparing with another debugger GDB.</p><p>
author Peng, Zhibo
author_facet Peng, Zhibo
author_sort Peng, Zhibo
title Devel-Op| An Optimizer Development Environment
title_short Devel-Op| An Optimizer Development Environment
title_full Devel-Op| An Optimizer Development Environment
title_fullStr Devel-Op| An Optimizer Development Environment
title_full_unstemmed Devel-Op| An Optimizer Development Environment
title_sort devel-op| an optimizer development environment
publisher Brandeis University
publishDate 2018
url http://pqdtopen.proquest.com/#viewpdf?dispub=10681532
work_keys_str_mv AT pengzhibo developanoptimizerdevelopmentenvironment
_version_ 1718634344650637312