Mastering Apache Cassandra 3.x : an expert guide to improving database scalability and availability without compromising performance

Mastering Apache Cassandra 3.x an expert guide to improving database scalability and availability without compromising performance

Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more efficiently using Cassandra's features with the help of examples Configure Cassandra and fine-tune its parameters depending on your needs Integrate Cassand...

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Bibliographic Details
Other Authors: Ploetz, Aaron, author (author), Malepati, Tejaswi, author, Neeraj, Nishant, author
Format: eBook
Language:Inglés
Published: Birmingham : Packt 2018.
Edition:Third edition
Subjects:
Apache Cassandra.
Non-relational databases.
Application software > Development.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631843006719
Table of Contents:
  • Cover
  • Title Page
  • Copyright and Credits
  • Packt Upsell
  • Foreward
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Quick Start
  • Introduction to Cassandra
  • High availability
  • Distributed
  • Partitioned row store
  • Installation
  • Configuration
  • cassandra.yaml
  • cassandra-rackdc.properties
  • Starting Cassandra
  • Cassandra Cluster Manager
  • A quick introduction to the data model
  • Using Cassandra with cqlsh
  • Shutting down Cassandra
  • Summary
  • Chapter 2: Cassandra Architecture
  • Why was Cassandra created?
  • RDBMS and problems at scale
  • Cassandra and the CAP theorem
  • Cassandra's ring architecture
  • Partitioners
  • ByteOrderedPartitioner
  • RandomPartitioner
  • Murmur3Partitioner
  • Single token range per node
  • Vnodes
  • Cassandra's write path
  • Cassandra's read path
  • On-disk storage
  • SSTables
  • How data was structured in prior versions
  • How data is structured in newer versions
  • Additional components of Cassandra
  • Gossiper
  • Snitch
  • Phi failure-detector
  • Tombstones
  • Hinted handoff
  • Compaction
  • Repair
  • Merkle tree calculation
  • Streaming data
  • Read repair
  • Security
  • Authentication
  • Authorization
  • Managing roles
  • Client-to-node SSL
  • Node-to-node SSL
  • Summary
  • Chapter 3: Effective CQL
  • An overview of Cassandra data modeling
  • [Cassandra storage model for versions 3.0 and beyond]
  • Cassandra storage model for versions 3.0 and beyond
  • Data cells
  • cqlsh
  • Logging into cqlsh
  • Problems connecting to cqlsh
  • Local cluster without security enabled
  • Remote cluster with user security enabled
  • Remote cluster with auth and SSL enabled
  • Connecting with cqlsh over SSL
  • Converting the Java keyStore into a PKCS12 keyStore
  • Exporting the certificate from the PKCS12 keyStore
  • Modifying your cqlshrc file
  • Testing your connection via cqlsh.
  • Getting started with CQL
  • Creating a keyspace
  • Single data center example
  • Multi-data center example
  • Creating a table
  • Simple table example
  • Clustering key example
  • Composite partition key example
  • Table options
  • Data types
  • Type conversion
  • The primary key
  • Designing a primary key
  • Selecting a good partition key
  • Selecting a good clustering key
  • Querying data
  • The IN operator
  • Writing data
  • Inserting data
  • Updating data
  • Deleting data
  • Lightweight transactions
  • Executing a BATCH statement
  • The expiring cell
  • Altering a keyspace
  • Dropping a keyspace
  • Altering a table
  • Truncating a table
  • Dropping a table
  • Truncate versus drop
  • Creating an index
  • Caution with implementing secondary indexes
  • Dropping an index
  • Creating a custom data type
  • Altering a custom type
  • Dropping a custom type
  • User management
  • Creating a user and role
  • Altering a user and role
  • Dropping a user and role
  • Granting permissions
  • Revoking permissions
  • Other CQL commands
  • COUNT
  • DISTINCT
  • LIMIT
  • STATIC
  • User-defined functions
  • cqlsh commands
  • CONSISTENCY
  • COPY
  • DESCRIBE
  • TRACING
  • Summary
  • Chapter 4: Configuring a Cluster
  • Evaluating instance requirements
  • RAM
  • CPU
  • Disk
  • Solid state drives
  • Cloud storage offerings
  • SAN and NAS
  • Network
  • Public cloud networks
  • Firewall considerations
  • Strategy for many small instances versus few large instances
  • Operating system optimizations
  • Disable swap
  • XFS
  • Limits
  • limits.conf
  • sysctl.conf
  • Time synchronization
  • Configuring the JVM
  • Garbage collection
  • CMS
  • G1GC
  • Garbage collection with Cassandra
  • Installation of JVM
  • JCE
  • Configuring Cassandra
  • cassandra.yaml
  • cassandra-env.sh
  • cassandra-rackdc.properties
  • dc
  • rack
  • dc_suffix
  • prefer_local
  • cassandra-topology.properties.
  • jvm.options
  • logback.xml
  • Managing a deployment pipeline
  • Orchestration tools
  • Configuration management tools
  • Recommended approach
  • Local repository for downloadable files
  • Summary
  • Chapter 5: Performance Tuning
  • Cassandra-Stress
  • The Cassandra-Stress YAML file
  • name
  • size
  • population
  • cluster
  • Cassandra-Stress results
  • Write performance
  • Commitlog mount point
  • Scaling out
  • Scaling out a data center
  • Read performance
  • Compaction strategy selection
  • Optimizing read throughput for time-series models
  • Optimizing tables for read-heavy models
  • Cache settings
  • Appropriate uses for row-caching
  • Compression
  • Chunk size
  • The bloom filter configuration
  • Read performance issues
  • Other performance considerations
  • JVM configuration
  • Cassandra anti-patterns
  • Building a queue
  • Query flexibility
  • Querying an entire table
  • Incorrect use of BATCH
  • Network
  • Summary
  • Chapter 6: Managing a Cluster
  • Revisiting nodetool
  • A warning about using nodetool
  • Scaling up
  • Adding nodes to a cluster
  • Cleaning up the original nodes
  • Adding a new data center
  • Adjusting the cassandra-rackdc.properties file
  • A warning about SimpleStrategy
  • Streaming data
  • Scaling down
  • Removing nodes from a cluster
  • Removing a live node
  • Removing a dead node
  • Other removenode options
  • When removenode doesn't work (nodetool assassinate)
  • Assassinating a node on an older version
  • Removing a data center
  • Backing up and restoring data
  • Taking snapshots
  • Enabling incremental backups
  • Recovering from snapshots
  • Maintenance
  • Replacing a node
  • Repair
  • A warning about incremental repairs
  • Cassandra Reaper
  • Forcing read repairs at consistency - ALL
  • Clearing snapshots and incremental backups
  • Snapshots
  • Incremental backups
  • Compaction.
  • Why you should never invoke compaction manually
  • Adjusting compaction throughput due to available resources
  • Summary
  • Chapter 7: Monitoring
  • JMX interface
  • MBean packages exposed by Cassandra
  • JConsole (GUI)
  • Connection and overview
  • Viewing metrics
  • Performing an operation
  • JMXTerm (CLI)
  • Connection and domains
  • Getting a metric
  • Performing an operation
  • The nodetool utility
  • Monitoring using nodetool
  • describecluster
  • gcstats
  • getcompactionthreshold
  • getcompactionthroughput
  • getconcurrentcompactors
  • getendpoints
  • getlogginglevels
  • getstreamthroughput
  • gettimeout
  • gossipinfo
  • info
  • netstats
  • proxyhistograms
  • status
  • tablestats
  • tpstats
  • verify
  • Administering using nodetool
  • cleanup
  • drain
  • flush
  • resetlocalschema
  • stopdaemon
  • truncatehints
  • upgradeSSTable
  • Metric stack
  • Telegraf
  • Installation
  • Configuration
  • JMXTrans
  • Installation
  • Configuration
  • InfluxDB
  • Installation
  • Configuration
  • InfluxDB CLI
  • Grafana
  • Installation
  • Configuration
  • Visualization
  • Alerting
  • Custom setup
  • Log stack
  • The system/debug/gc logs
  • Filebeat
  • Installation
  • Configuration
  • Elasticsearch
  • Installation
  • Configuration
  • Kibana
  • Installation
  • Configuration
  • Troubleshooting
  • High CPU usage
  • Different garbage-collection patterns
  • Hotspots
  • Disk performance
  • Node flakiness
  • All-in-one Docker
  • Creating a database and other monitoring components locally
  • Web links
  • Summary
  • Chapter 8: Application Development
  • Getting started
  • The path to failure
  • Is Cassandra the right database?
  • Good use cases for Apache Cassandra
  • Use and expectations around application data consistency
  • Choosing the right driver
  • Building a Java application
  • Driver dependency configuration with Apache Maven
  • Connection class.
  • Other connection options
  • Retry policy
  • Default keyspace
  • Port
  • SSL
  • Connection pooling options
  • Starting simple - Hello World!
  • Using the object mapper
  • Building a data loader
  • Asynchronous operations
  • Data loader example
  • Summary
  • Chapter 9: Integration with Apache Spark
  • Spark
  • Architecture
  • Installation
  • Running custom Spark Docker locally
  • Configuration
  • The web UI
  • Master
  • Worker
  • Application
  • PySpark
  • Connection config
  • Accessing Cassandra data
  • SparkR
  • Connection config
  • Accessing Cassandra data
  • RStudio
  • Connection config
  • Accessing Cassandra data
  • Jupyter
  • Architecture
  • Installation
  • Configuration
  • Web UI
  • PYSpark through Juypter
  • Summary
  • Appendix: References
  • Chapter 1 - Quick Start
  • Chapter 2 - Cassandra Architecture
  • Chapter 3 - Effective CQL
  • Chapter 4 - Configuring a Cluster
  • Chapter 5 - Performance Tuning
  • Chapter 6 - Managing a Cluster
  • Chapter 7 - Monitoring
  • Chapter 8 - Application Development
  • Chapter 9 - Integration with Apache Spark
  • Other Books You May Enjoy
  • Index.

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