SlideShare una empresa de Scribd logo
1 de 23
The Myth of Cassandra I’ve had it with these crazed oracles NoSQL Series Cameron Kilgore | @thrillgore
Cas·san·dra[kəˈsændrə], noun [Classical Greek Mythology.] A daughter of Priam and Hecuba, a prophet cursed by Apollo so that her prophecies, though true, were fated never to be believed. [fml. “Apache Cassandra”] An open-source distributed, non-relational (NoSQL) database developed at Facebook, written in Java, and maintained as an Apache Software Foundation product
What Cassandra does Nonrelational associative array (key-value) data storage Distributed One-hop DHT (akin to Amazon Dynamo) Eventually Consistent Column-based storage Queries faster than MySQL Based on white papers and real-world use cases Fault tolerant Provides no single point of failure Load balancing
What Cassandra Does Not	 Revision History Relational Data There’s this thing called “MySQL” that might be just up your alley Provide an admin app Chiton is an in-development desktop app http://github.com/driftx/chiton Store individual data fields greater than 231-1 (2,147,483,647) bytes Provide any interfaces outside of Thrift or high-level interfaces
She who entangles companies Already at use at Facebook Also being used at: Digg Reddit Twitter Rackspace Cisco IBM Cloudkick OpenX And more…
Introducing Cassandra Understanding the concepts of data in Cassandra, scalability
Columns and Data Data is stored in columns, each organized by keyspaces Each column stores data and can be culled based on its name value, akin to an associative array +name: byte[] +value: byte[] +timestamp: long
Supercolumns What happens when Xzibit uses Cassandra Supercolumns allow you to nest n number of columns in another column And in return in a key you can nest n number of supercolumns. (not shown here due to Office fail)
Anatomy of a Column Cassandra is written in Java, so we abide by the rules of its variables Most of them will be bytestrings (byte[]), set in Unicode +time being the only value not stored as a bytestring, instead as a long Java compares the +time across other Cassandra nodes to reconcile data across nodes Is NOT used for revision history Each column represented by an unseen UUID
Anatomy of a Column (cont.) Columns are found by their +name value, not their UUID You cannot have multiple columns of the same name (assigning one with the same name rewrites an existing one in that given keyspace)
Accessing the Data Data accessed through the Apache Incubator™ Thrift API Thrift can be accessed with any programming language or application High-level implementations for languages exist For our demos we’re going to use the cassandra-cli client, which gives us the ability to insert/remove/edit
<INSERT CALL TO DEMO HERE> OH GOD HOW DID I GET HERE I AM NOT GOOD WITH COMPUTER
Security in Cassandra Cassandra does have user authentication through a SimpleAuthenticator module that is configured in conf files Very rudimentary Ran out of time and suitable documentation to demonstrate it Cassandra is not ACID-compliant
Load Balancing Cassandra 0.6 has load balancing capabilities Not automatic, must be configured per node Load is shared in a token-ring fashion across the nodes in a multi-node configuration Covered in the documentation for Cassandra
Monitoring Cassandra Cassandra exposes metrics as JMX data, so any JMX monitoring app should be sufficient. Nagios Munin OpenNMS Any official Oracle™ Java monitoring and administration software What? I can’t be bothered to not search for the name of the software? Cassandra also has software for monitoring node activity, check the docs
Use Case Example And a very simple one at that
Product Ordering Application An ordering application implemented using a SQL database could span hundreds of tables and require constant iterations over its lifespan What if the attributes of these products (in this case, HVAC components) were stored in Cassandra, and we kept pricing, users, and sessions data in a RDBMS?
Benefits to Cassandra The data for these products that might need to be added won’t require new RDBMS fields – we can just add them in new columns and write our code statements to ignore them if they aren’t there We aren’t limited to bottlenecks in the RDBMS if we choose to go multinode in our Cassandra setup No single point of failure if we choose to go multinode If we get a lot of users (unlikely), the nodes will equally distribute the load Less time spent on queries Depends on how effective our data is stored and the performance of our application
Downsides to Cassandra We may not have the funding needed to procure a multinode configuration No guarantee that existing data that might need to be reconfigured might be changed over time to meet the demands of sales, engineering, executive, etc. Data collected and given some form of relation inside the application itself, with no schema Cassandra lacks a vetted security framework that could put us at risk Cassandra also lacks a complete administration application Chiton is barely functional as-is Might not make sense when some RDBMS can scale across machines
A (crude) data map showing our data in practice
Cassandra and PHP This is a PHP User group after all.
Talking to Cassandra Low-level framework, Thrift, is the actual client API for Cassandra In PHP we have two such frameworks that work through Thrift phpcassa Pandra Ran out of time to prepare a demo There’s always another time for a demo. Stay tuned.
Any Questions? You will be baked, and there will be cake

Más contenido relacionado

La actualidad más candente

La actualidad más candente (20)

Cassandra Architecture FTW
Cassandra Architecture FTWCassandra Architecture FTW
Cassandra Architecture FTW
 
What is Apache Cassandra? | Apache Cassandra Tutorial | Apache Cassandra Intr...
What is Apache Cassandra? | Apache Cassandra Tutorial | Apache Cassandra Intr...What is Apache Cassandra? | Apache Cassandra Tutorial | Apache Cassandra Intr...
What is Apache Cassandra? | Apache Cassandra Tutorial | Apache Cassandra Intr...
 
Cassandra architecture
Cassandra architectureCassandra architecture
Cassandra architecture
 
Apache Cassandra in the Real World
Apache Cassandra in the Real WorldApache Cassandra in the Real World
Apache Cassandra in the Real World
 
Cassandra training
Cassandra trainingCassandra training
Cassandra training
 
BigData: AWS RedShift with S3, EC2
BigData: AWS RedShift with S3, EC2BigData: AWS RedShift with S3, EC2
BigData: AWS RedShift with S3, EC2
 
Architecting applications in the AWS cloud
Architecting applications in the AWS cloudArchitecting applications in the AWS cloud
Architecting applications in the AWS cloud
 
Azure lessons
Azure lessonsAzure lessons
Azure lessons
 
Managing Objects and Data in Apache Cassandra
Managing Objects and Data in Apache CassandraManaging Objects and Data in Apache Cassandra
Managing Objects and Data in Apache Cassandra
 
Pipedrive DW on AWS
Pipedrive DW on AWSPipedrive DW on AWS
Pipedrive DW on AWS
 
Aws glossary flash cards
Aws glossary flash cardsAws glossary flash cards
Aws glossary flash cards
 
Ai big dataconference_jeffrey ricker_kappa_architecture
Ai big dataconference_jeffrey ricker_kappa_architectureAi big dataconference_jeffrey ricker_kappa_architecture
Ai big dataconference_jeffrey ricker_kappa_architecture
 
Apache Cassandra training. Overview and Basics
Apache Cassandra training. Overview and BasicsApache Cassandra training. Overview and Basics
Apache Cassandra training. Overview and Basics
 
Samedi SQL Québec - La plateforme data de Azure
Samedi SQL Québec - La plateforme data de AzureSamedi SQL Québec - La plateforme data de Azure
Samedi SQL Québec - La plateforme data de Azure
 
Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018
Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018
Cost and Performance Optimisation in Amazon RDS - AWS Summit Sydney 2018
 
Ignorance of CAP Is Not an Excuse
Ignorance of CAP Is Not an ExcuseIgnorance of CAP Is Not an Excuse
Ignorance of CAP Is Not an Excuse
 
Hands-on Lab: Data Lake Analytics
Hands-on Lab: Data Lake AnalyticsHands-on Lab: Data Lake Analytics
Hands-on Lab: Data Lake Analytics
 
Building a Lambda Architecture with Elasticsearch at Yieldbot
Building a Lambda Architecture with Elasticsearch at YieldbotBuilding a Lambda Architecture with Elasticsearch at Yieldbot
Building a Lambda Architecture with Elasticsearch at Yieldbot
 
New Database Migration Services & RDS Updates
New Database Migration Services & RDS UpdatesNew Database Migration Services & RDS Updates
New Database Migration Services & RDS Updates
 
Cassandra ppt 2
Cassandra ppt 2Cassandra ppt 2
Cassandra ppt 2
 

Destacado

Cassandra - Say Goodbye to the Relational Database (5-6-2010)
Cassandra - Say Goodbye to the Relational Database (5-6-2010)Cassandra - Say Goodbye to the Relational Database (5-6-2010)
Cassandra - Say Goodbye to the Relational Database (5-6-2010)
Chris Barber
 
Using Cassandra with your Web Application
Using Cassandra with your Web ApplicationUsing Cassandra with your Web Application
Using Cassandra with your Web Application
supertom
 

Destacado (12)

Add a bit of ACID to Cassandra. Cassandra Summit EU 2014
Add a bit of ACID to Cassandra. Cassandra Summit EU 2014Add a bit of ACID to Cassandra. Cassandra Summit EU 2014
Add a bit of ACID to Cassandra. Cassandra Summit EU 2014
 
C* Summit 2013: Java and .NET Client Drivers - Cassandra Developments on Fire...
C* Summit 2013: Java and .NET Client Drivers - Cassandra Developments on Fire...C* Summit 2013: Java and .NET Client Drivers - Cassandra Developments on Fire...
C* Summit 2013: Java and .NET Client Drivers - Cassandra Developments on Fire...
 
Demystifying Twitter Marketing
Demystifying Twitter MarketingDemystifying Twitter Marketing
Demystifying Twitter Marketing
 
Cassandra Day London 2015: Securing Cassandra and DataStax Enterprise
Cassandra Day London 2015: Securing Cassandra and DataStax EnterpriseCassandra Day London 2015: Securing Cassandra and DataStax Enterprise
Cassandra Day London 2015: Securing Cassandra and DataStax Enterprise
 
Cassandra - Say Goodbye to the Relational Database (5-6-2010)
Cassandra - Say Goodbye to the Relational Database (5-6-2010)Cassandra - Say Goodbye to the Relational Database (5-6-2010)
Cassandra - Say Goodbye to the Relational Database (5-6-2010)
 
Cassandra - PHP
Cassandra - PHPCassandra - PHP
Cassandra - PHP
 
Cassandra Java APIs Old and New – A Comparison
Cassandra Java APIs Old and New – A ComparisonCassandra Java APIs Old and New – A Comparison
Cassandra Java APIs Old and New – A Comparison
 
PHP開発者のためのNoSQL入門
PHP開発者のためのNoSQL入門PHP開発者のためのNoSQL入門
PHP開発者のためのNoSQL入門
 
Using Cassandra with your Web Application
Using Cassandra with your Web ApplicationUsing Cassandra with your Web Application
Using Cassandra with your Web Application
 
What Is Account Based Marketing?
What Is Account Based Marketing?What Is Account Based Marketing?
What Is Account Based Marketing?
 
The Evolution of Sales Tools
The Evolution of Sales ToolsThe Evolution of Sales Tools
The Evolution of Sales Tools
 
3 Things Every Sales Team Needs to Be Thinking About in 2017
3 Things Every Sales Team Needs to Be Thinking About in 20173 Things Every Sales Team Needs to Be Thinking About in 2017
3 Things Every Sales Team Needs to Be Thinking About in 2017
 

Similar a The myth of Cassandra

AWS Summit 2011: Architecting in the cloud
AWS Summit 2011: Architecting in the cloudAWS Summit 2011: Architecting in the cloud
AWS Summit 2011: Architecting in the cloud
Amazon Web Services
 

Similar a The myth of Cassandra (20)

Cassandra synergy
Cassandra synergyCassandra synergy
Cassandra synergy
 
Migrating Oracle database to Cassandra
Migrating Oracle database to CassandraMigrating Oracle database to Cassandra
Migrating Oracle database to Cassandra
 
CASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEM
CASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEMCASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEM
CASSANDRA A DISTRIBUTED NOSQL DATABASE FOR HOTEL MANAGEMENT SYSTEM
 
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRAA NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
 
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRAA NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
A NOVEL APPROACH FOR HOTEL MANAGEMENT SYSTEM USING CASSANDRA
 
AWS Summit 2011: Architecting in the cloud
AWS Summit 2011: Architecting in the cloudAWS Summit 2011: Architecting in the cloud
AWS Summit 2011: Architecting in the cloud
 
Architecting Enterprise Applications In The Cloud
Architecting Enterprise Applications In The CloudArchitecting Enterprise Applications In The Cloud
Architecting Enterprise Applications In The Cloud
 
Cloud Native Computing - Part II - Public Cloud (AWS)
Cloud Native Computing - Part II - Public Cloud (AWS)Cloud Native Computing - Part II - Public Cloud (AWS)
Cloud Native Computing - Part II - Public Cloud (AWS)
 
No sql
No sqlNo sql
No sql
 
Scaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosqlScaling opensimulator inventory using nosql
Scaling opensimulator inventory using nosql
 
Tobi Bosede - PyCassa Setting Up and Using Apache Cassandra with Python in Wi...
Tobi Bosede - PyCassa Setting Up and Using Apache Cassandra with Python in Wi...Tobi Bosede - PyCassa Setting Up and Using Apache Cassandra with Python in Wi...
Tobi Bosede - PyCassa Setting Up and Using Apache Cassandra with Python in Wi...
 
AWS Webcast - Best Practices in Architecting for the Cloud
AWS Webcast - Best Practices in Architecting for the CloudAWS Webcast - Best Practices in Architecting for the Cloud
AWS Webcast - Best Practices in Architecting for the Cloud
 
cassandra
cassandracassandra
cassandra
 
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
 
NoSql Database
NoSql DatabaseNoSql Database
NoSql Database
 
Cassandra Database
Cassandra DatabaseCassandra Database
Cassandra Database
 
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
 
Why Cassandra?
Why Cassandra?Why Cassandra?
Why Cassandra?
 
Evaluating Apache Cassandra as a Cloud Database
Evaluating Apache Cassandra as a Cloud DatabaseEvaluating Apache Cassandra as a Cloud Database
Evaluating Apache Cassandra as a Cloud Database
 
Apache Cassandra introduction
Apache Cassandra introductionApache Cassandra introduction
Apache Cassandra introduction
 

Último

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 

Último (20)

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 

The myth of Cassandra

  • 1. The Myth of Cassandra I’ve had it with these crazed oracles NoSQL Series Cameron Kilgore | @thrillgore
  • 2. Cas·san·dra[kəˈsændrə], noun [Classical Greek Mythology.] A daughter of Priam and Hecuba, a prophet cursed by Apollo so that her prophecies, though true, were fated never to be believed. [fml. “Apache Cassandra”] An open-source distributed, non-relational (NoSQL) database developed at Facebook, written in Java, and maintained as an Apache Software Foundation product
  • 3. What Cassandra does Nonrelational associative array (key-value) data storage Distributed One-hop DHT (akin to Amazon Dynamo) Eventually Consistent Column-based storage Queries faster than MySQL Based on white papers and real-world use cases Fault tolerant Provides no single point of failure Load balancing
  • 4. What Cassandra Does Not Revision History Relational Data There’s this thing called “MySQL” that might be just up your alley Provide an admin app Chiton is an in-development desktop app http://github.com/driftx/chiton Store individual data fields greater than 231-1 (2,147,483,647) bytes Provide any interfaces outside of Thrift or high-level interfaces
  • 5. She who entangles companies Already at use at Facebook Also being used at: Digg Reddit Twitter Rackspace Cisco IBM Cloudkick OpenX And more…
  • 6. Introducing Cassandra Understanding the concepts of data in Cassandra, scalability
  • 7. Columns and Data Data is stored in columns, each organized by keyspaces Each column stores data and can be culled based on its name value, akin to an associative array +name: byte[] +value: byte[] +timestamp: long
  • 8. Supercolumns What happens when Xzibit uses Cassandra Supercolumns allow you to nest n number of columns in another column And in return in a key you can nest n number of supercolumns. (not shown here due to Office fail)
  • 9. Anatomy of a Column Cassandra is written in Java, so we abide by the rules of its variables Most of them will be bytestrings (byte[]), set in Unicode +time being the only value not stored as a bytestring, instead as a long Java compares the +time across other Cassandra nodes to reconcile data across nodes Is NOT used for revision history Each column represented by an unseen UUID
  • 10. Anatomy of a Column (cont.) Columns are found by their +name value, not their UUID You cannot have multiple columns of the same name (assigning one with the same name rewrites an existing one in that given keyspace)
  • 11. Accessing the Data Data accessed through the Apache Incubator™ Thrift API Thrift can be accessed with any programming language or application High-level implementations for languages exist For our demos we’re going to use the cassandra-cli client, which gives us the ability to insert/remove/edit
  • 12. <INSERT CALL TO DEMO HERE> OH GOD HOW DID I GET HERE I AM NOT GOOD WITH COMPUTER
  • 13. Security in Cassandra Cassandra does have user authentication through a SimpleAuthenticator module that is configured in conf files Very rudimentary Ran out of time and suitable documentation to demonstrate it Cassandra is not ACID-compliant
  • 14. Load Balancing Cassandra 0.6 has load balancing capabilities Not automatic, must be configured per node Load is shared in a token-ring fashion across the nodes in a multi-node configuration Covered in the documentation for Cassandra
  • 15. Monitoring Cassandra Cassandra exposes metrics as JMX data, so any JMX monitoring app should be sufficient. Nagios Munin OpenNMS Any official Oracle™ Java monitoring and administration software What? I can’t be bothered to not search for the name of the software? Cassandra also has software for monitoring node activity, check the docs
  • 16. Use Case Example And a very simple one at that
  • 17. Product Ordering Application An ordering application implemented using a SQL database could span hundreds of tables and require constant iterations over its lifespan What if the attributes of these products (in this case, HVAC components) were stored in Cassandra, and we kept pricing, users, and sessions data in a RDBMS?
  • 18. Benefits to Cassandra The data for these products that might need to be added won’t require new RDBMS fields – we can just add them in new columns and write our code statements to ignore them if they aren’t there We aren’t limited to bottlenecks in the RDBMS if we choose to go multinode in our Cassandra setup No single point of failure if we choose to go multinode If we get a lot of users (unlikely), the nodes will equally distribute the load Less time spent on queries Depends on how effective our data is stored and the performance of our application
  • 19. Downsides to Cassandra We may not have the funding needed to procure a multinode configuration No guarantee that existing data that might need to be reconfigured might be changed over time to meet the demands of sales, engineering, executive, etc. Data collected and given some form of relation inside the application itself, with no schema Cassandra lacks a vetted security framework that could put us at risk Cassandra also lacks a complete administration application Chiton is barely functional as-is Might not make sense when some RDBMS can scale across machines
  • 20. A (crude) data map showing our data in practice
  • 21. Cassandra and PHP This is a PHP User group after all.
  • 22. Talking to Cassandra Low-level framework, Thrift, is the actual client API for Cassandra In PHP we have two such frameworks that work through Thrift phpcassa Pandra Ran out of time to prepare a demo There’s always another time for a demo. Stay tuned.
  • 23. Any Questions? You will be baked, and there will be cake

Notas del editor

  1. © 2010 Cameron Kilgore. Distribution permitted under CC-BY-ND 3.0
  2. “Eventually Consistent” means all updates across nodes of cassandra will eventually propagate and they will be consistent.
  3. Chiton is aPyGTK app and I’ve only managed to run it in an Arch install, so its pretty useless if you work in Mac OS X or Windows. I remember another app being discussed in the #cassandra IRC channel, but I can’t recall its name or if its web-based.
  4. Reddit has a pretty interesting white paper on their usage of Cassandra in place of memcacheDB. I’ll post a link on my twitter account, @thrillgore later.
  5. The timestamp is used by Cassandra to reconcile differences across nodes, not to store revisions. The timestamp itself is autogenerated from Unix time(); Due to Cassandra’s Java heritage, the name and values are stored as byte arrays.
  6. Essentially, you enable the module and then you create conf files for each user you want accessing the database. By default it uses AllowAllAuthentication, which means there isn’t any authentication any anyone can connect to it.
  7. Just a quick description of what’s going on here – we’re storing a kind of a HVAC component, in this case a Louver, in a keyspace specifically for Louvers. Inside, for each individual Louver kind, we have a supercolumn that stores columns that would represent attributes of the individual louver. For each louver, another supercolumn could be created. The method behind using this gives us more control over the (dare I say it) relation of data in a spatial methodology over a tabular methodology.