Database Internals A Deep Dive into How Distributed Data Systems Work PDF Free Download


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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.

This book examines:

  • Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each
  • Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log
  • Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns
  • Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency


From the Publisher

databases, database, database internalsdatabases, database, database internals

From the Preface

Who is this book for?

In conversations at technical conferences, I often hear the same question: “How can I learn more about database internals? I don’t even know where to start.” Most of the books on database systems do not go into details of storage engine implementation, and cover the access methods, such as B-Trees, on a rather high level. There are very few books that cover more recent concepts, such as different B-Tree variants and log-structured storage, so I usually recommend reading papers.

Everyone who reads papers knows that it’s not that easy: you often lack context, the wording might be ambiguous, there’s little or no connection between papers, and they’re hard to find. This book contains concise summaries of important database systems concepts and can serve as a guide for those who’d like to dig in deeper, or as a cheat sheet for those already familiar with these concepts.

Not everyone wants to become a database developer, but this book will help people who build software that uses database systems: software developers, reliability engineers, architects, and engineering managers.

If your company depends on any infrastructure component, be it a database, a messaging queue, a container platform, or a task scheduler, you have to read the project change-logs and mailing lists to stay in touch with the community and be up-to-date with the most recent happenings in the project.

databases, database, database internalsdatabases, database, database internals

Understanding terminology and knowing what’s inside will enable you to yield more information from these sources and use your tools more productively to troubleshoot, identify, and avoid potential risks and bottlenecks. Having an overview and a general understanding of how database systems work will help in case something goes wrong. Using this knowledge, you’ll be able to form a hypothesis, validate it, find the root cause, and present it to other project maintainers.

This book is also for curious minds: for the people who like learning things without immediate necessity, those who spend their free time hacking on something fun, creating compilers, writing homegrown operating systems, text editors, computer games, learning programming languages, and absorbing new information.

The reader is assumed to have some experience with developing backend systems and working with database systems as a user. Having some prior knowledge of different data structures will help to digest material faster.

Table of contents :

Table of Contents
How to Contact Us
Part I. Storage Engines
Chapter 1. Introduction and Overview
DBMS Architecture
Memory- Versus Disk-Based DBMS
Durability in Memory-Based Stores
Column- Versus Row-Oriented DBMS
Row-Oriented Data Layout
Column-Oriented Data Layout
Distinctions and Optimizations
Wide Column Stores
Data Files and Index Files
Data Files
Index Files
Primary Index as an Indirection
Buffering, Immutability, and Ordering
Chapter 2. B-Tree Basics
Binary Search Trees
Tree Balancing
Trees for Disk-Based Storage
Disk-Based Structures
Hard Disk Drives
Solid State Drives
On-Disk Structures
Ubiquitous B-Trees
B-Tree Hierarchy
Separator Keys
B-Tree Lookup Complexity
B-Tree Lookup Algorithm
Counting Keys
B-Tree Node Splits
B-Tree Node Merges
Chapter 3. File Formats
Binary Encoding
Primitive Types
Strings and Variable-Size Data
Bit-Packed Data: Booleans, Enums, and Flags
General Principles
Page Structure
Slotted Pages
Cell Layout
Combining Cells into Slotted Pages
Managing Variable-Size Data
Chapter 4. Implementing B-Trees
Page Header
Magic Numbers
Sibling Links
Rightmost Pointers
Node High Keys
Overflow Pages
Binary Search
Binary Search with Indirection Pointers
Propagating Splits and Merges
Right-Only Appends
Bulk Loading
Vacuum and Maintenance
Fragmentation Caused by Updates and Deletes
Page Defragmentation
Chapter 5. Transaction Processing and Recovery
Buffer Management
Caching Semantics
Cache Eviction
Locking Pages in Cache
Page Replacement
Log Semantics
Operation Versus Data Log
Steal and Force Policies
Concurrency Control
Transaction Isolation
Read and Write Anomalies
Isolation Levels
Optimistic Concurrency Control
Multiversion Concurrency Control
Pessimistic Concurrency Control
Lock-Based Concurrency Control
Chapter 6. B-Tree Variants
Implementing Copy-on-Write: LMDB
Abstracting Node Updates
Lazy B-Trees
Lazy-Adaptive Tree
Fractional Cascading
Logarithmic Runs
Update Chains
Taming Concurrency with Compare-and-Swap
Structural Modification Operations
Consolidation and Garbage Collection
Cache-Oblivious B-Trees
van Emde Boas Layout
Chapter 7. Log-Structured Storage
LSM Trees
LSM Tree Structure
Updates and Deletes
LSM Tree Lookups
Maintenance in LSM Trees
Read, Write, and Space Amplification
RUM Conjecture
Implementation Details
Sorted String Tables
Bloom Filters
Disk Access
Unordered LSM Storage
Concurrency in LSM Trees
Log Stacking
Flash Translation Layer
Filesystem Logging
LLAMA and Mindful Stacking
Open-Channel SSDs
Part I Conclusion
Part II. Distributed Systems
Chapter 8. Introduction and Overview
Concurrent Execution
Shared State in a Distributed System
Fallacies of Distributed Computing
Clocks and Time
State Consistency
Local and Remote Execution
Need to Handle Failures
Network Partitions and Partial Failures
Cascading Failures
Distributed Systems Abstractions
Two Generals’ Problem
FLP Impossibility
System Synchrony
Failure Models
Crash Faults
Omission Faults
Arbitrary Faults
Handling Failures
Chapter 9. Failure Detection
Heartbeats and Pings
Timeout-Free Failure Detector
Outsourced Heartbeats
Phi-Accural Failure Detector
Gossip and Failure Detection
Reversing Failure Detection Problem Statement
Chapter 10. Leader Election
Bully Algorithm
Next-In-Line Failover
Candidate/Ordinary Optimization
Invitation Algorithm
Ring Algorithm
Chapter 11. Replication and Consistency
Achieving Availability
Infamous CAP
Use CAP Carefully
Harvest and Yield
Shared Memory
Consistency Models
Strict Consistency
Sequential Consistency
Causal Consistency
Session Models
Eventual Consistency
Tunable Consistency
Witness Replicas
Strong Eventual Consistency and CRDTs
Chapter 12. Anti-Entropy and Dissemination
Read Repair
Digest Reads
Hinted Handoff
Merkle Trees
Bitmap Version Vectors
Gossip Dissemination
Gossip Mechanics
Overlay Networks
Hybrid Gossip
Partial Views
Chapter 13. Distributed Transactions
Making Operations Appear Atomic
Two-Phase Commit
Cohort Failures in 2PC
Coordinator Failures in 2PC
Three-Phase Commit
Coordinator Failures in 3PC
Distributed Transactions with Calvin
Distributed Transactions with Spanner
Database Partitioning
Consistent Hashing
Distributed Transactions with Percolator
Coordination Avoidance
Chapter 14. Consensus
Atomic Broadcast
Virtual Synchrony
Zookeeper Atomic Broadcast (ZAB)
Paxos Algorithm
Quorums in Paxos
Failure Scenarios
Fast Paxos
Egalitarian Paxos
Flexible Paxos
Generalized Solution to Consensus
Leader Role in Raft
Failure Scenarios
Byzantine Consensus
PBFT Algorithm
Recovery and Checkpointing
Part II Conclusion
Appendix A. Bibliography
About the Author

Publisher‏:‎O’Reilly Media; 1st edition (October 22, 2019)
Paperback‏:‎376 pages

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