DuckDB: Up and Running: Fast Data Analytics and Reporting

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Cover....1 Copyright....5 Table of Contents....6 Preface....10 Conventions Used in This Book....12 Using Code Examples....13 OReilly Online Learning....13 How to Contact Us....14 Acknowledgements....14 Chapter 1. Getting Started with DuckDB....16 Introduction to DuckDB....17 Why Use DuckDB?....17 High-Performance Analytical Queries....19 Versatile Integration and Ease of Use Across Multiple Programming Languages....21 Open Source....22 A Quick Look at DuckDB....22 Loading Data into DuckDB....23 Inserting a Record....24 Querying a Table....24 Performing Aggregation....25 Joining Tables....27 Reading Data from pandas....29 Why DuckDB Is More Efficient....32 Execution Speed....32 Memory Usage....35 Summary....36 Chapter 2. Importing Data into DuckDB....38 Creating DuckDB Databases....38 Loading Data from Different Data Sources and Formats....39 Working with CSV Files....39 Working with Parquet Files....49 Working with Excel Files....54 Working with MySQL....59 Summary....63 Chapter 3. A Primer on SQL....66 Using the DuckDB CLI....66 Importing Data into DuckDB....69 Dot Commands....70 Persisting the In-Memory Database on Disk....74 DuckDB SQL Primer....76 Creating a Database....77 Creating Tables....78 Viewing the Schemas of Tables....79 Dropping a Table....79 Working with Tables....80 Populating Tables with Rows....80 Updating Rows....83 Deleting Rows....83 Querying Tables....84 Joining Tables....85 Aggregating Data....91 Analytics....93 Summary....96 Chapter 4. Using DuckDB with Polars....98 Introduction to Polars....98 Creating a Polars DataFrame....99 Understanding Lazy Evaluation in Polars....108 Querying Polars DataFrames Using DuckDB....113 Using the sql() Function....113 Using the DuckDBPyRelation Object....118 Summary....122 Chapter 5. Performing EDA with DuckDB....124 Our Dataset: The 2015 Flight Delays Dataset....125 Geospatial Analysis....126 Displaying a Map....127 Displaying All Airports on the Map....129 Using the spatial Extension in DuckDB....132 Performing Descriptive Analytics....142 Finding the Airports for Each State and City....143 Aggregating the Total Number of Airports in Each State....146 Obtaining the Flight Counts for Each Pair of Origin and Destination Airports....151 Getting the Canceled Flights from Airlines....153 Getting the Flight Count for Each Day of the Week....159 Finding the Most Common Timeslot for Flight Delays....165 Finding the Airlines with the Most and Fewest Delays....168 Summary....173 Chapter 6. Using DuckDB with JSON Files....174 Primer on JSON....174 Object....175 String....175 Boolean....175 Number....176 Nested Object....176 Array....176 null....177 Loading JSON Files into DuckDB....178 Using the read_json_auto() Function....179 Using the read_json() Function....181 Using the COPY-FROM Statement....192 Exporting Tables to JSON....193 Summary....194 Chapter 7. Using DuckDB with JupySQL....196 What Is JupySQL?....197 Installing JupySQL....198 Loading the sql Extension....198 Integrating with DuckDB....199 Performing Queries....200 Storing Snippets....203 Visualization....205 Histograms....206 Box Plots....211 Pie Charts....213 Bar Plots....215 Integrating with MySQL....219 Using Environment Variables....219 Using an .ini File....222 Using keyring....224 Summary....225 Chapter 8. Accessing Remote Data Using DuckDB....226 DuckDBs httpfs Extension....226 Querying CSV and Parquet Files Remotely....227 Accessing CSV Files....227 Accessing Parquet Files....231 Querying Hugging Face Datasets....235 Using Hugging Face Datasets....236 Reading the Dataset Using hf: Paths....239 Accessing Files Within a Folder....240 Querying Multiple Files Using the Glob Syntax....243 Working with Private Hugging Face Datasets....246 Summary....258 Chapter 9. Using DuckDB in the Cloud with MotherDuck....260 Introduction to MotherDuck....261 Signing Up for MotherDuck....261 MotherDuck Plans....264 Getting Started with MotherDuck....265 Adding Tables....267 Creating Schemas....270 Sharing Databases....272 Creating a Database....278 Detaching a Database....278 Using the Databases in MotherDuck....279 Querying Your Database....279 Writing SQL Using AI....285 Using MotherDuck Through the DuckDB CLI....289 Connecting to MotherDuck....289 Querying Databases on MotherDuck....293 Creating Databases on MotherDuck....294 Performing Hybrid Queries....296 Summary....298 Index....300 About the Author....306 Colophon....306
Описание
Ниже — практический обзор по теме «duckdb».
It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. This handy guide shows you how to get started with this versatile and powerful tool.
You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. Understand the purpose of DuckDB and its main functions
Conduct data analytics tasks using DuckDBIntegrate DuckDB with pandas, Polars, and JupySQLUse DuckDB to query your dataPerform spatial analytics using DuckDB's spatial extensionWork with a diverse range of data including Parquet, CSV, and JSON
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автор — Lee Wei-Meng, издательство O’Reilly Media, Inc., год выпуска 2025, 308 страниц.
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DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics.