Cassandra: The Definitive Guide, (Revised) Third Edition. 3rd Edition - Helion

ebook

Autor: Jeff Carpenter, Eben Hewitt
ISBN: 9781492097105
stron: 432, Format: ebook
Data wydania: 2022-01-24
Księgarnia: Helion

Cena książki: 228,65 zł (poprzednio: 265,87 zł)
Oszczędzasz: 14% (-37,22 zł)

Osoby, które kupiły tę książkę, wybierały także »

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment.

Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility.

Understand Cassandra's distributed and decentralized structure
Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell)
Create a working data model and compare it with an equivalent relational model
Design and develop applications using client drivers
Explore cluster topology and learn how nodes exchange data
Maintain a high level of performance in your cluster
Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene

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Spis treści

Cassandra: The Definitive Guide, (Revised) Third Edition. 3rd Edition eBook -- spis treści

Foreword
Preface
- Why Apache Cassandra?
- Is This Book for You?
- Whats in This Book?
- New for the Third Edition
  - Note on the Revised Third Edition
- Conventions Used in This Book
- Using Code Examples
- OReilly Interactive Katacoda Scenarios
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
1. Beyond Relational Databases
- Whats Wrong with Relational Databases?
- A Quick Review of Relational Databases
  - Transactions, ACID-ity, and Two-Phase Commit
  - Schema
  - Sharding and Shared-Nothing Architecture
- Web Scale
- The Rise of NoSQL
- Summary
2. Introducing Cassandra
- The Cassandra Elevator Pitch
  - Cassandra in 50 Words or Less
  - Distributed and Decentralized
  - Elastic Scalability
  - High Availability and Fault Tolerance
  - Tuneable Consistency
  - Brewers CAP Theorem
  - Row-Oriented
  - High Performance
- Where Did Cassandra Come From?
- Is Cassandra a Good Fit for My Project?
  - Large Deployments
  - Lots of Writes, Statistics, and Analysis
  - Geographical Distribution
  - Hybrid Cloud and Multicloud Deployment
- Getting Involved
- Summary
3. Installing Cassandra
- Installing the Apache Distribution
  - Extracting the Download
  - Whats in There?
- Building from Source
  - Additional Build Targets
- Running Cassandra
  - Setting the Environment
  - Starting the Server
  - Stopping Cassandra
- Other Cassandra Distributions
- Running the CQL Shell
- Basic cqlsh Commands
  - cqlsh Help
  - Describing the Environment in cqlsh
  - Creating a Keyspace and Table in cqlsh
  - Writing and Reading Data in cqlsh
- Running Cassandra in Docker
- Summary
4. The Cassandra Query Language
- The Relational Data Model
- Cassandras Data Model
  - Clusters
  - Keyspaces
  - Tables
  - Columns
    - Timestamps
    - Time to live (TTL)
- CQL Types
  - Numeric Data Types
  - Textual Data Types
  - Time and Identity Data Types
  - Other Simple Data Types
  - Collections
  - Tuples
  - User-Defined Types
- Summary
5. Data Modeling
- Conceptual Data Modeling
- RDBMS Design
  - Design Differences Between RDBMS and Cassandra
    - No joins
    - No referential integrity
    - Denormalization
    - Query-first design
    - Designing for optimal storage
    - Sorting is a design decision
- Defining Application Queries
- Logical Data Modeling
  - Hotel Logical Data Model
  - Reservation Logical Data Model
- Physical Data Modeling
  - Hotel Physical Data Model
  - Reservation Physical Data Model
- Evaluating and Refining
  - Calculating Partition Size
  - Calculating Size on Disk
  - Breaking Up Large Partitions
- Defining Database Schema
  - Cassandra Data Modeling Tools
- Summary
6. The Cassandra Architecture
- Data Centers and Racks
- Gossip and Failure Detection
- Snitches
- Rings and Tokens
- Virtual Nodes
- Partitioners
- Replication Strategies
- Consistency Levels
- Queries and Coordinator Nodes
- Hinted Handoff
- Anti-Entropy, Repair, and Merkle Trees
- Lightweight Transactions and Paxos
- Memtables, SSTables, and Commit Logs
- Bloom Filters
- Caching
- Compaction
- Deletion and Tombstones
- Managers and Services
  - Cassandra Daemon
  - Storage Engine
  - Storage Service
  - Storage Proxy
  - Messaging Service
  - Stream Manager
  - CQL Native Transport Server
- System Keyspaces
- Summary
7. Designing Applications with Cassandra
- Hotel Application Design
  - Cassandra and Microservice Architecture
  - Microservice Architecture for a Hotel Application
  - Identifying Bounded Contexts
  - Identifying Services
  - Designing Microservice Persistence
    - Polyglot persistence
    - Representing other database models in CQL
- Extending Designs
  - Secondary Indexes
  - Materialized Views
- Reservation Service: A Sample Microservice
  - Design Choices for a Java Microservice
- Deployment and Integration Considerations
  - Services, Keyspaces, and Clusters
  - Data Centers and Load Balancing
  - Interactions Between Microservices
- Summary
8. Application Development with Drivers
- DataStax Java Driver
  - Development Environment Configuration
  - Connecting to a Cluster
  - Statements
  - Simple Statements
  - Prepared Statements
    - Bound statement
  - Query Builder
  - Object Mapper
  - Asynchronous Execution
  - Driver Configuration
    - File-based configuration
    - Basic configuration options
    - Load balancing
    - Retrying failed queries
    - Speculative execution
    - Connection pooling
    - Protocol version
    - Compression
    - Driver security
    - Execution profiles
  - Metadata
    - Node discovery
    - Schema access
  - Debugging and Monitoring
    - Driver logging
    - Driver metrics
- DataStax Python Driver
- DataStax Node.js Driver
- DataStax C# Driver
- Other Cassandra Drivers
- Summary
9. Writing and Reading Data
- Writing
  - Write Consistency Levels
  - The Cassandra Write Path
  - Writing Files to Disk
    - Commit log files
    - SSTable files
  - Lightweight Transactions
  - Batches
- Reading
  - Read Consistency Levels
  - The Cassandra Read Path
  - Read Repair
  - Range Queries, Ordering and Filtering
  - Paging
- Deleting
- Summary
10. Configuring and Deploying Cassandra
- Cassandra Cluster Manager
  - Creating a Cluster
  - Adding Nodes to a Cluster
  - Dynamic Ring Participation
- Node Configuration
  - Seed Nodes
  - Snitches
  - Partitioners
  - Tokens and Virtual Nodes
  - Network Interfaces
  - Data Storage
  - Startup and JVM Settings
- Planning a Cluster Deployment
  - Cluster Topology and Replication Strategies
  - Sizing Your Cluster
  - Selecting Instances
  - Storage
  - Network
- Cloud Deployment
  - Amazon Web Services
  - Google Cloud Platform
  - Microsoft Azure
- Summary
11. Monitoring
- Monitoring Cassandra with JMX
- Cassandras MBeans
  - Database MBeans
    - Storage Service MBean
    - Storage Proxy MBean
    - Hints Service MBean
    - Column Family Store MBean
    - Commit Log MBean
    - Compaction Manager MBean
    - Cache Service MBean
  - Cluster-Related MBeans
    - Gossiper MBean
    - Failure Detector MBean
    - Snitch MBeans
    - Stream Manager MBean
    - Messaging Service MBean
  - Internal MBeans
    - Thread Pool MBeans
    - Garbage Collection MBeans
    - Security MBeans
    - Metrics MBeans
- Monitoring with nodetool
  - Getting Cluster Information
    - describecluster
    - status
    - info
    - ring
  - Getting Statistics
    - Using tpstats
    - Using tablestats
- Virtual Tables
  - System Virtual Schema
  - System Views
- Metrics
- Logging
  - Examining Log Files
  - Full Query Logging
- Summary
12. Maintenance
- Health Check
- Common Maintenance Tasks
  - Flush
  - Cleanup
  - Repair
    - Full repair, incremental repair, and anti-compaction
    - Sequential and parallel repair
    - Partitioner range repair
    - Subrange repair
    - Best practices for repair
  - Rebuilding Indexes
  - Moving Tokens
- Adding Nodes
  - Adding Nodes to an Existing Data Center
  - Adding a Data Center to a Cluster
- Handling Node Failure
  - Repairing Failed Nodes
    - Recovering from disk failure
  - Replacing Nodes
  - Removing Nodes
    - Decommissioning a node
    - Removing a node
    - Assassinating a node
    - Removing a data center
- Upgrading Cassandra
- Backup and Recovery
  - Taking a Snapshot
  - Clearing a Snapshot
  - Enabling Incremental Backup
  - Restoring from Snapshot
- SSTable Utilities
- Maintenance Tools
  - Netflix Priam
  - DataStax OpsCenter
  - Cassandra Sidecars
  - Cassandra Kubernetes Operators
- Summary
13. Performance Tuning
- Managing Performance
  - Setting Performance Goals
  - Benchmarking and Stress Testing
    - Using cassandra-stress
    - Additional load testing tools
  - Monitoring Performance
  - Analyzing Performance Issues
  - Tracing
  - Tuning Methodology
- Caching
  - Key Cache
  - Row Cache
  - Chunk Cache
  - Counter Cache
  - Saved Cache Settings
- Memtables
- Commit Logs
- SSTables
- Hinted Handoff
- Compaction
- Concurrency and Threading
- Networking and Timeouts
- JVM Settings
  - Memory
  - Garbage Collection
    - Default configuration (JDK 8 or JDK 11)
    - Garbage-First garbage collector (JDK 8 or JDK 11)
    - Z Garbage Collector (JDK 11 and later)
    - Shenandoah Garbage Collector (JDK12)
- Summary
14. Security
- Authentication and Authorization
  - Password Authenticator
    - Configuring the authenticator
    - Additional authentication providers
    - Adding users
    - Authenticating via the DataStax Java Driver
  - Using CassandraAuthorizer
  - Role-Based Access Control
- Encryption
  - SSL, TLS, and Certificates
    - Generating Certificates for Development Clusters
    - Generating Certificates for Production Clusters
  - Node-to-Node Encryption
  - Client-to-Node Encryption
- JMX Security
  - Securing JMX Access
  - Security MBeans
    - Authentication cache MBean
- Audit Logging
- Summary
15. Migrating and Integrating
- Knowing When to Migrate
- Adapting the Data Model
  - Translating Entities
  - Translating Relationships
- Adapting the Application
  - Refactoring Data Access
  - Maintaining Consistency
  - Migrating Stored Procedures
    - User-defined functions
    - User-defined aggregates
    - Built-in functions and aggregates
- Planning the Deployment
- Migrating Data
  - Zero-Downtime Migration
  - Bulk Loading
- Common Integrations
  - Managing Data Flow with Apache Kafka
  - Searching with Apache Lucene, SOLR, and Elasticsearch
  - Analyzing Data with Apache Spark
    - Use cases for Spark with Cassandra
    - Deploying Spark with Cassandra
    - The spark-cassandra-connector
- Summary
Index