SlideShare a Scribd company logo
1 of 23
Download to read offline
Cassandra and Go
@AlTobey
Open Source Mechanic @ Datastax

©2013 DataStax Confidential. Do not distribute without consent.

!1
Open Source Mechanic
• Officially, Open Source Evangelist for Apache Cassandra
• Educate
• Ask (the right) questions
• Fix things
• Get the word out
Cassandra
• AP distributed database
• Dynamo x BigTable
• Robust data model
• Built-in multi-datacenter replication
• At-rest encryption
• Easy to use
Cassandra 2.0
• Lightweight Transactions (a.k.a. CAS)
• Results paging for CQL (cursors)
• Eager retries
• Many optimizations all over
• Experimental triggers
• Note: Java 7 is required
Look familiar?
CREATE TABLE demo (id UUID, name VARCHAR, dob TIMESTAMP);
!

INSERT INTO demo (id, name, created)
VALUES (“…”, “Al Tobey”, “2013-10-29”);
!

SELECT name FROM demo;
!

DESCRIBE TABLE demo;
!

use system;
!

SELECT columnfamily_name FROM schema_columnfamilies
WHERE keyspace_name = ‘demo’;
!
#golang
• Tiny language
• Strongly typed
• Simple concurrency primitives
• first-class functions
• Native, statically-linked code
• Garbage collection
• Excellent standard library
• Great community
• Open Source
Fizz Buzz
package main
!

import (
"fmt"
)
!

func main() {
for i := 0; i < 100; i++ {
fmt.Printf("%d: ", i)
!

if i%3 == 0 {
fmt.Printf("fizz")
}

!

if i%5 == 0 {
fmt.Printf("buzz")
}

!

}

}

fmt.Printf("n")
Chocolate and Peanut Butter
• Cassandra is distributed and can handle highly concurrent load
• Go makes concurrency trivial
• A CQL native protocol driver already exists for Go (gocql)
• A Thrift driver is also available (gossie)
Schema
CREATE KEYSPACE demo WITH REPLICATION = {
'class' :
‘SimpleStrategy',
'replication_factor' : 1
};
!

CREATE TABLE subscribers {
id
UUID,
email
VARCHAR,
created TIMESTAMP,
updated TIMESTAMP,
deleted TIMESTAMP
);
!

INSERT INTO subscribers (id, email, created, updated, deleted) VALUES (
4e7cd544-a72c-41a1-a004-74ea34e1e932,
‘atobey@datastax.com’,
‘2013-10-24T00:00:00+0000’,
‘2013-10-26T00:00:00+0000’,
‘9999-12-31T00:00:00+0000’
);
!

SELECT id, email, created, updated, deleted FROM subscribers;
Querying
package main
!

import (
"fmt"
"time"
"tux21b.org/v1/gocql"
"tux21b.org/v1/gocql/uuid"
)
!

type Record struct {
Id
uuid.UUID
Email
string
Created time.Time
Updated time.Time
Deleted time.Time
}
Querying
func main() {
cluster := gocql.NewCluster("127.0.0.1")
cluster.Keyspace = "subscribers"
cluster.Consistency = gocql.Quorum
!

!
!

!
!

}

cass, err := cluster.CreateSession()
if err != nil {
panic(fmt.Sprintf("Error creating session: %v", err))
}
defer cass.Close()
sub := Record{}
q := cass.Query(
`SELECT id, email, created, updated, deleted FROM subscribers`
)
q.Scan(&sub.Id, &sub.Email, &sub.Created, &sub.Updated, &sub.Deleted)
fmt.Printf("Record: %vn", sub)
Go Web Services
• Go seems to be particularly popular for web services
• With good reasons
• The standard library’s HTTP server is quite good
• Deploy a single binary
• High concurrency
• Light resource usage
Hello WWW
package main
!

import (
"fmt"
"net/http"
)
!

func main() {
http.HandleFunc(“/index.txt",
func(w http.ResponseWriter, r *http.Request) {
fmt.Fprintf(w, “Ohai!n")
}
)
!

}

http.ListenAndServe(":8080", nil)
Skeezy: don’t do this at home
• Written specifically for this talk
• No (known) heinous crimes
• https://github.com/tobert/skeezy
skeezy
package main
!

import ( … )
!

func main () {
// connect to Cassandra (same as before)
!
!

}

// set up routes (with a twist)
// start the web service (same as before)
skeezy - setting up routes
http.Handle("/img/",
http.StripPrefix("/img/",
http.FileServer(http.Dir(“./public/img/“))
)
)
!

http.HandleFunc(“/c/“, func(w http.ResponseWriter, r
*http.Request) {
q := cass.Query(`SELECT id FROM c WHERE postId=?`,
id.Bytes())
q.Iter()
!

})

c := Comment{}
for iq.Scan(&c.Id, &c.ParentId, &c.Created) {
fmt.Fprintf(w, “%v”, c)
}
skeezy - globals?
package main
import (…)
!

var cass *gocql.Session
!

func main () {
// …
var err error
cass, err = cluster.CreateSession()
// …
!

}

http.HandleFunc(“/c/“, func(…) {
q := cass.Query(…)
// …
})
skeezy - closure
func main () {
// …
cass, err := cluster.CreateSession()
// …
!

)

http.HandleFunc(“/c/“, func(…) {
q := cass.Query( … )
}
skeezy - responsible passing
func main () {
// …
cass, err := cluster.CreateSession()
// …
!

)

http.HandleFunc(“/c/“, func(…) {
cc := skeezy.ListPosts(cass, …)
}
skeezy - returning data
func main () {
// …
cass, err := cluster.CreateSession()
// …
!

)

http.HandleFunc(“/c/“, func(…) {
cc := skeezy.ListPosts(cass, …)
}

!

package skeezy
!

func ListPosts(…) []Comment {
ret := make([]Comment, 1)
for {
ret = append(ret, c)
}
return ret
}
skeezy - channels & goroutines
func ListComments(cass *gocql.Session, id uuid.UUID) (chan *Comment) {
cc := make(chan *Comment)
!

!

}

go func() {
iq := cass.Query(`… WHERE postId=?`, id.Bytes()).Iter()
for {
c := Comment{}
if iq.Scan(&c.Id, &c.ParentId, &c.Created) {
cc <- &c
} else {
break
}
}
if err := iq.Close(); err != nil {
log.Fatal(err)
}
close(cc)
}()
return cc
skeezy - channel receiver
// a list of comment ids
http.HandleFunc("/c/", func(…) {
cc := skeezy.ListComments(cass, getId(r, “/c/“))
!

})
!

for comment := range cc {
js, _ := json.Marshal(comment)
w.Write(js)
}
Overview
• Cassandra and Go are both great for high concurrency applications
• Go is a simple and powerful language
• Both are great choices for your next application
• Learn more
• http://golang.org
• http://planetcassandra.com/
• http://tux21b.org/gocql/
!

• Questions?

More Related Content

What's hot

Network Automation: Ansible 102
Network Automation: Ansible 102Network Automation: Ansible 102
Network Automation: Ansible 102APNIC
 
Tips for a Faster Website
Tips for a Faster WebsiteTips for a Faster Website
Tips for a Faster WebsiteRayed Alrashed
 
Best practices for ansible
Best practices for ansibleBest practices for ansible
Best practices for ansibleGeorge Shuklin
 
Ansible: How to Get More Sleep and Require Less Coffee
Ansible: How to Get More Sleep and Require Less CoffeeAnsible: How to Get More Sleep and Require Less Coffee
Ansible: How to Get More Sleep and Require Less CoffeeSarah Z
 
Using Ansible for Deploying to Cloud Environments
Using Ansible for Deploying to Cloud EnvironmentsUsing Ansible for Deploying to Cloud Environments
Using Ansible for Deploying to Cloud Environmentsahamilton55
 
Learn basic ansible using docker
Learn basic ansible using dockerLearn basic ansible using docker
Learn basic ansible using dockerLarry Cai
 
Ansible v2 and Beyond (Ansible Hawai'i Meetup)
Ansible v2 and Beyond (Ansible Hawai'i Meetup)Ansible v2 and Beyond (Ansible Hawai'i Meetup)
Ansible v2 and Beyond (Ansible Hawai'i Meetup)Timothy Appnel
 
#OktoCampus - Workshop : An introduction to Ansible
#OktoCampus - Workshop : An introduction to Ansible#OktoCampus - Workshop : An introduction to Ansible
#OktoCampus - Workshop : An introduction to AnsibleCédric Delgehier
 
Automation with Packer and TerraForm
Automation with Packer and TerraFormAutomation with Packer and TerraForm
Automation with Packer and TerraFormWesley Charles Blake
 
A language for the Internet: Why JavaScript and Node.js is right for Internet...
A language for the Internet: Why JavaScript and Node.js is right for Internet...A language for the Internet: Why JavaScript and Node.js is right for Internet...
A language for the Internet: Why JavaScript and Node.js is right for Internet...Tom Croucher
 
docker build with Ansible
docker build with Ansibledocker build with Ansible
docker build with AnsibleBas Meijer
 
wwc start-launched
wwc start-launchedwwc start-launched
wwc start-launchedMat Schaffer
 
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureSCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureMatt Ray
 
DevOps(3) : Ansible - (MOSG)
DevOps(3) : Ansible - (MOSG)DevOps(3) : Ansible - (MOSG)
DevOps(3) : Ansible - (MOSG)Soshi Nemoto
 
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'rmcleay
 
Ansible Meetup Hamburg / Quickstart
Ansible Meetup Hamburg / QuickstartAnsible Meetup Hamburg / Quickstart
Ansible Meetup Hamburg / QuickstartHenry Stamerjohann
 
Ansible new paradigms for orchestration
Ansible new paradigms for orchestrationAnsible new paradigms for orchestration
Ansible new paradigms for orchestrationPaolo Tonin
 

What's hot (20)

Network Automation: Ansible 102
Network Automation: Ansible 102Network Automation: Ansible 102
Network Automation: Ansible 102
 
Tips for a Faster Website
Tips for a Faster WebsiteTips for a Faster Website
Tips for a Faster Website
 
Best practices for ansible
Best practices for ansibleBest practices for ansible
Best practices for ansible
 
Ansible: How to Get More Sleep and Require Less Coffee
Ansible: How to Get More Sleep and Require Less CoffeeAnsible: How to Get More Sleep and Require Less Coffee
Ansible: How to Get More Sleep and Require Less Coffee
 
Using Ansible for Deploying to Cloud Environments
Using Ansible for Deploying to Cloud EnvironmentsUsing Ansible for Deploying to Cloud Environments
Using Ansible for Deploying to Cloud Environments
 
Learn basic ansible using docker
Learn basic ansible using dockerLearn basic ansible using docker
Learn basic ansible using docker
 
Ansible v2 and Beyond (Ansible Hawai'i Meetup)
Ansible v2 and Beyond (Ansible Hawai'i Meetup)Ansible v2 and Beyond (Ansible Hawai'i Meetup)
Ansible v2 and Beyond (Ansible Hawai'i Meetup)
 
Node.js - A Quick Tour
Node.js - A Quick TourNode.js - A Quick Tour
Node.js - A Quick Tour
 
#OktoCampus - Workshop : An introduction to Ansible
#OktoCampus - Workshop : An introduction to Ansible#OktoCampus - Workshop : An introduction to Ansible
#OktoCampus - Workshop : An introduction to Ansible
 
Automation with Packer and TerraForm
Automation with Packer and TerraFormAutomation with Packer and TerraForm
Automation with Packer and TerraForm
 
A language for the Internet: Why JavaScript and Node.js is right for Internet...
A language for the Internet: Why JavaScript and Node.js is right for Internet...A language for the Internet: Why JavaScript and Node.js is right for Internet...
A language for the Internet: Why JavaScript and Node.js is right for Internet...
 
docker build with Ansible
docker build with Ansibledocker build with Ansible
docker build with Ansible
 
wwc start-launched
wwc start-launchedwwc start-launched
wwc start-launched
 
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureSCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud Infrastructure
 
DevOps(3) : Ansible - (MOSG)
DevOps(3) : Ansible - (MOSG)DevOps(3) : Ansible - (MOSG)
DevOps(3) : Ansible - (MOSG)
 
Ansible and AWS
Ansible and AWSAnsible and AWS
Ansible and AWS
 
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'
DevOps in a Regulated World - aka 'Ansible, AWS, and Jenkins'
 
Ansible Meetup Hamburg / Quickstart
Ansible Meetup Hamburg / QuickstartAnsible Meetup Hamburg / Quickstart
Ansible Meetup Hamburg / Quickstart
 
Node.js in production
Node.js in productionNode.js in production
Node.js in production
 
Ansible new paradigms for orchestration
Ansible new paradigms for orchestrationAnsible new paradigms for orchestration
Ansible new paradigms for orchestration
 

Similar to Apache Cassandra and Go

Cascading Through Hadoop for the Boulder JUG
Cascading Through Hadoop for the Boulder JUGCascading Through Hadoop for the Boulder JUG
Cascading Through Hadoop for the Boulder JUGMatthew McCullough
 
ETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk LoadingETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk Loadingalex_araujo
 
Hazelcast
HazelcastHazelcast
Hazelcastoztalip
 
Hadoop User Group EU 2014
Hadoop User Group EU 2014Hadoop User Group EU 2014
Hadoop User Group EU 2014cwensel
 
Reading Cassandra Meetup Feb 2015: Apache Spark
Reading Cassandra Meetup Feb 2015: Apache SparkReading Cassandra Meetup Feb 2015: Apache Spark
Reading Cassandra Meetup Feb 2015: Apache SparkChristopher Batey
 
Manchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra IntegrationManchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra IntegrationChristopher Batey
 
Store and Process Big Data with Hadoop and Cassandra
Store and Process Big Data with Hadoop and CassandraStore and Process Big Data with Hadoop and Cassandra
Store and Process Big Data with Hadoop and CassandraDeependra Ariyadewa
 
Hadoop Integration in Cassandra
Hadoop Integration in CassandraHadoop Integration in Cassandra
Hadoop Integration in CassandraJairam Chandar
 
Fun Teaching MongoDB New Tricks
Fun Teaching MongoDB New TricksFun Teaching MongoDB New Tricks
Fun Teaching MongoDB New TricksMongoDB
 
Cassandra Day London 2015: Getting Started with Apache Cassandra and Java
Cassandra Day London 2015: Getting Started with Apache Cassandra and JavaCassandra Day London 2015: Getting Started with Apache Cassandra and Java
Cassandra Day London 2015: Getting Started with Apache Cassandra and JavaDataStax Academy
 
Cassandra Day London: Building Java Applications
Cassandra Day London: Building Java ApplicationsCassandra Day London: Building Java Applications
Cassandra Day London: Building Java ApplicationsChristopher Batey
 
KISSY 的昨天、今天与明天
KISSY 的昨天、今天与明天KISSY 的昨天、今天与明天
KISSY 的昨天、今天与明天tblanlan
 
kissy-past-now-future
kissy-past-now-futurekissy-past-now-future
kissy-past-now-futureyiming he
 
Bkbiet day2 & 3
Bkbiet day2 & 3Bkbiet day2 & 3
Bkbiet day2 & 3mihirio
 
Introduction to Scalding and Monoids
Introduction to Scalding and MonoidsIntroduction to Scalding and Monoids
Introduction to Scalding and MonoidsHugo Gävert
 
Apache cassandra & apache spark for time series data
Apache cassandra & apache spark for time series dataApache cassandra & apache spark for time series data
Apache cassandra & apache spark for time series dataPatrick McFadin
 
Scala @ TechMeetup Edinburgh
Scala @ TechMeetup EdinburghScala @ TechMeetup Edinburgh
Scala @ TechMeetup EdinburghStuart Roebuck
 
Charla EHU Noviembre 2014 - Desarrollo Web
Charla EHU Noviembre 2014 - Desarrollo WebCharla EHU Noviembre 2014 - Desarrollo Web
Charla EHU Noviembre 2014 - Desarrollo WebMikel Torres Ugarte
 
2013 DevFest Vienna - Bad Tests, Good Tests
2013 DevFest Vienna - Bad Tests, Good Tests2013 DevFest Vienna - Bad Tests, Good Tests
2013 DevFest Vienna - Bad Tests, Good TestsTomek Kaczanowski
 
What's up with Prototype and script.aculo.us?
What's up with Prototype and script.aculo.us?What's up with Prototype and script.aculo.us?
What's up with Prototype and script.aculo.us?Christophe Porteneuve
 

Similar to Apache Cassandra and Go (20)

Cascading Through Hadoop for the Boulder JUG
Cascading Through Hadoop for the Boulder JUGCascading Through Hadoop for the Boulder JUG
Cascading Through Hadoop for the Boulder JUG
 
ETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk LoadingETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk Loading
 
Hazelcast
HazelcastHazelcast
Hazelcast
 
Hadoop User Group EU 2014
Hadoop User Group EU 2014Hadoop User Group EU 2014
Hadoop User Group EU 2014
 
Reading Cassandra Meetup Feb 2015: Apache Spark
Reading Cassandra Meetup Feb 2015: Apache SparkReading Cassandra Meetup Feb 2015: Apache Spark
Reading Cassandra Meetup Feb 2015: Apache Spark
 
Manchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra IntegrationManchester Hadoop Meetup: Spark Cassandra Integration
Manchester Hadoop Meetup: Spark Cassandra Integration
 
Store and Process Big Data with Hadoop and Cassandra
Store and Process Big Data with Hadoop and CassandraStore and Process Big Data with Hadoop and Cassandra
Store and Process Big Data with Hadoop and Cassandra
 
Hadoop Integration in Cassandra
Hadoop Integration in CassandraHadoop Integration in Cassandra
Hadoop Integration in Cassandra
 
Fun Teaching MongoDB New Tricks
Fun Teaching MongoDB New TricksFun Teaching MongoDB New Tricks
Fun Teaching MongoDB New Tricks
 
Cassandra Day London 2015: Getting Started with Apache Cassandra and Java
Cassandra Day London 2015: Getting Started with Apache Cassandra and JavaCassandra Day London 2015: Getting Started with Apache Cassandra and Java
Cassandra Day London 2015: Getting Started with Apache Cassandra and Java
 
Cassandra Day London: Building Java Applications
Cassandra Day London: Building Java ApplicationsCassandra Day London: Building Java Applications
Cassandra Day London: Building Java Applications
 
KISSY 的昨天、今天与明天
KISSY 的昨天、今天与明天KISSY 的昨天、今天与明天
KISSY 的昨天、今天与明天
 
kissy-past-now-future
kissy-past-now-futurekissy-past-now-future
kissy-past-now-future
 
Bkbiet day2 & 3
Bkbiet day2 & 3Bkbiet day2 & 3
Bkbiet day2 & 3
 
Introduction to Scalding and Monoids
Introduction to Scalding and MonoidsIntroduction to Scalding and Monoids
Introduction to Scalding and Monoids
 
Apache cassandra & apache spark for time series data
Apache cassandra & apache spark for time series dataApache cassandra & apache spark for time series data
Apache cassandra & apache spark for time series data
 
Scala @ TechMeetup Edinburgh
Scala @ TechMeetup EdinburghScala @ TechMeetup Edinburgh
Scala @ TechMeetup Edinburgh
 
Charla EHU Noviembre 2014 - Desarrollo Web
Charla EHU Noviembre 2014 - Desarrollo WebCharla EHU Noviembre 2014 - Desarrollo Web
Charla EHU Noviembre 2014 - Desarrollo Web
 
2013 DevFest Vienna - Bad Tests, Good Tests
2013 DevFest Vienna - Bad Tests, Good Tests2013 DevFest Vienna - Bad Tests, Good Tests
2013 DevFest Vienna - Bad Tests, Good Tests
 
What's up with Prototype and script.aculo.us?
What's up with Prototype and script.aculo.us?What's up with Prototype and script.aculo.us?
What's up with Prototype and script.aculo.us?
 

More from DataStax Academy

Forrester CXNYC 2017 - Delivering great real-time cx is a true craft
Forrester CXNYC 2017 - Delivering great real-time cx is a true craftForrester CXNYC 2017 - Delivering great real-time cx is a true craft
Forrester CXNYC 2017 - Delivering great real-time cx is a true craftDataStax Academy
 
Introduction to DataStax Enterprise Graph Database
Introduction to DataStax Enterprise Graph DatabaseIntroduction to DataStax Enterprise Graph Database
Introduction to DataStax Enterprise Graph DatabaseDataStax Academy
 
Introduction to DataStax Enterprise Advanced Replication with Apache Cassandra
Introduction to DataStax Enterprise Advanced Replication with Apache CassandraIntroduction to DataStax Enterprise Advanced Replication with Apache Cassandra
Introduction to DataStax Enterprise Advanced Replication with Apache CassandraDataStax Academy
 
Cassandra on Docker @ Walmart Labs
Cassandra on Docker @ Walmart LabsCassandra on Docker @ Walmart Labs
Cassandra on Docker @ Walmart LabsDataStax Academy
 
Cassandra 3.0 Data Modeling
Cassandra 3.0 Data ModelingCassandra 3.0 Data Modeling
Cassandra 3.0 Data ModelingDataStax Academy
 
Cassandra Adoption on Cisco UCS & Open stack
Cassandra Adoption on Cisco UCS & Open stackCassandra Adoption on Cisco UCS & Open stack
Cassandra Adoption on Cisco UCS & Open stackDataStax Academy
 
Data Modeling for Apache Cassandra
Data Modeling for Apache CassandraData Modeling for Apache Cassandra
Data Modeling for Apache CassandraDataStax Academy
 
Production Ready Cassandra
Production Ready CassandraProduction Ready Cassandra
Production Ready CassandraDataStax Academy
 
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & Python
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & PythonCassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & Python
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & PythonDataStax Academy
 
Cassandra @ Sony: The good, the bad, and the ugly part 1
Cassandra @ Sony: The good, the bad, and the ugly part 1Cassandra @ Sony: The good, the bad, and the ugly part 1
Cassandra @ Sony: The good, the bad, and the ugly part 1DataStax Academy
 
Cassandra @ Sony: The good, the bad, and the ugly part 2
Cassandra @ Sony: The good, the bad, and the ugly part 2Cassandra @ Sony: The good, the bad, and the ugly part 2
Cassandra @ Sony: The good, the bad, and the ugly part 2DataStax Academy
 
Standing Up Your First Cluster
Standing Up Your First ClusterStanding Up Your First Cluster
Standing Up Your First ClusterDataStax Academy
 
Real Time Analytics with Dse
Real Time Analytics with DseReal Time Analytics with Dse
Real Time Analytics with DseDataStax Academy
 
Introduction to Data Modeling with Apache Cassandra
Introduction to Data Modeling with Apache CassandraIntroduction to Data Modeling with Apache Cassandra
Introduction to Data Modeling with Apache CassandraDataStax Academy
 
Enabling Search in your Cassandra Application with DataStax Enterprise
Enabling Search in your Cassandra Application with DataStax EnterpriseEnabling Search in your Cassandra Application with DataStax Enterprise
Enabling Search in your Cassandra Application with DataStax EnterpriseDataStax Academy
 
Advanced Data Modeling with Apache Cassandra
Advanced Data Modeling with Apache CassandraAdvanced Data Modeling with Apache Cassandra
Advanced Data Modeling with Apache CassandraDataStax Academy
 

More from DataStax Academy (20)

Forrester CXNYC 2017 - Delivering great real-time cx is a true craft
Forrester CXNYC 2017 - Delivering great real-time cx is a true craftForrester CXNYC 2017 - Delivering great real-time cx is a true craft
Forrester CXNYC 2017 - Delivering great real-time cx is a true craft
 
Introduction to DataStax Enterprise Graph Database
Introduction to DataStax Enterprise Graph DatabaseIntroduction to DataStax Enterprise Graph Database
Introduction to DataStax Enterprise Graph Database
 
Introduction to DataStax Enterprise Advanced Replication with Apache Cassandra
Introduction to DataStax Enterprise Advanced Replication with Apache CassandraIntroduction to DataStax Enterprise Advanced Replication with Apache Cassandra
Introduction to DataStax Enterprise Advanced Replication with Apache Cassandra
 
Cassandra on Docker @ Walmart Labs
Cassandra on Docker @ Walmart LabsCassandra on Docker @ Walmart Labs
Cassandra on Docker @ Walmart Labs
 
Cassandra 3.0 Data Modeling
Cassandra 3.0 Data ModelingCassandra 3.0 Data Modeling
Cassandra 3.0 Data Modeling
 
Cassandra Adoption on Cisco UCS & Open stack
Cassandra Adoption on Cisco UCS & Open stackCassandra Adoption on Cisco UCS & Open stack
Cassandra Adoption on Cisco UCS & Open stack
 
Data Modeling for Apache Cassandra
Data Modeling for Apache CassandraData Modeling for Apache Cassandra
Data Modeling for Apache Cassandra
 
Coursera Cassandra Driver
Coursera Cassandra DriverCoursera Cassandra Driver
Coursera Cassandra Driver
 
Production Ready Cassandra
Production Ready CassandraProduction Ready Cassandra
Production Ready Cassandra
 
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & Python
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & PythonCassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & Python
Cassandra @ Netflix: Monitoring C* at Scale, Gossip and Tickler & Python
 
Cassandra @ Sony: The good, the bad, and the ugly part 1
Cassandra @ Sony: The good, the bad, and the ugly part 1Cassandra @ Sony: The good, the bad, and the ugly part 1
Cassandra @ Sony: The good, the bad, and the ugly part 1
 
Cassandra @ Sony: The good, the bad, and the ugly part 2
Cassandra @ Sony: The good, the bad, and the ugly part 2Cassandra @ Sony: The good, the bad, and the ugly part 2
Cassandra @ Sony: The good, the bad, and the ugly part 2
 
Standing Up Your First Cluster
Standing Up Your First ClusterStanding Up Your First Cluster
Standing Up Your First Cluster
 
Real Time Analytics with Dse
Real Time Analytics with DseReal Time Analytics with Dse
Real Time Analytics with Dse
 
Introduction to Data Modeling with Apache Cassandra
Introduction to Data Modeling with Apache CassandraIntroduction to Data Modeling with Apache Cassandra
Introduction to Data Modeling with Apache Cassandra
 
Cassandra Core Concepts
Cassandra Core ConceptsCassandra Core Concepts
Cassandra Core Concepts
 
Enabling Search in your Cassandra Application with DataStax Enterprise
Enabling Search in your Cassandra Application with DataStax EnterpriseEnabling Search in your Cassandra Application with DataStax Enterprise
Enabling Search in your Cassandra Application with DataStax Enterprise
 
Bad Habits Die Hard
Bad Habits Die Hard Bad Habits Die Hard
Bad Habits Die Hard
 
Advanced Data Modeling with Apache Cassandra
Advanced Data Modeling with Apache CassandraAdvanced Data Modeling with Apache Cassandra
Advanced Data Modeling with Apache Cassandra
 
Advanced Cassandra
Advanced CassandraAdvanced Cassandra
Advanced Cassandra
 

Recently uploaded

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 

Recently uploaded (20)

Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 

Apache Cassandra and Go

  • 1. Cassandra and Go @AlTobey Open Source Mechanic @ Datastax ©2013 DataStax Confidential. Do not distribute without consent. !1
  • 2. Open Source Mechanic • Officially, Open Source Evangelist for Apache Cassandra • Educate • Ask (the right) questions • Fix things • Get the word out
  • 3. Cassandra • AP distributed database • Dynamo x BigTable • Robust data model • Built-in multi-datacenter replication • At-rest encryption • Easy to use
  • 4. Cassandra 2.0 • Lightweight Transactions (a.k.a. CAS) • Results paging for CQL (cursors) • Eager retries • Many optimizations all over • Experimental triggers • Note: Java 7 is required
  • 5. Look familiar? CREATE TABLE demo (id UUID, name VARCHAR, dob TIMESTAMP); ! INSERT INTO demo (id, name, created) VALUES (“…”, “Al Tobey”, “2013-10-29”); ! SELECT name FROM demo; ! DESCRIBE TABLE demo; ! use system; ! SELECT columnfamily_name FROM schema_columnfamilies WHERE keyspace_name = ‘demo’; !
  • 6. #golang • Tiny language • Strongly typed • Simple concurrency primitives • first-class functions • Native, statically-linked code • Garbage collection • Excellent standard library • Great community • Open Source
  • 7. Fizz Buzz package main ! import ( "fmt" ) ! func main() { for i := 0; i < 100; i++ { fmt.Printf("%d: ", i) ! if i%3 == 0 { fmt.Printf("fizz") } ! if i%5 == 0 { fmt.Printf("buzz") } ! } } fmt.Printf("n")
  • 8. Chocolate and Peanut Butter • Cassandra is distributed and can handle highly concurrent load • Go makes concurrency trivial • A CQL native protocol driver already exists for Go (gocql) • A Thrift driver is also available (gossie)
  • 9. Schema CREATE KEYSPACE demo WITH REPLICATION = { 'class' : ‘SimpleStrategy', 'replication_factor' : 1 }; ! CREATE TABLE subscribers { id UUID, email VARCHAR, created TIMESTAMP, updated TIMESTAMP, deleted TIMESTAMP ); ! INSERT INTO subscribers (id, email, created, updated, deleted) VALUES ( 4e7cd544-a72c-41a1-a004-74ea34e1e932, ‘atobey@datastax.com’, ‘2013-10-24T00:00:00+0000’, ‘2013-10-26T00:00:00+0000’, ‘9999-12-31T00:00:00+0000’ ); ! SELECT id, email, created, updated, deleted FROM subscribers;
  • 10. Querying package main ! import ( "fmt" "time" "tux21b.org/v1/gocql" "tux21b.org/v1/gocql/uuid" ) ! type Record struct { Id uuid.UUID Email string Created time.Time Updated time.Time Deleted time.Time }
  • 11. Querying func main() { cluster := gocql.NewCluster("127.0.0.1") cluster.Keyspace = "subscribers" cluster.Consistency = gocql.Quorum ! ! ! ! ! } cass, err := cluster.CreateSession() if err != nil { panic(fmt.Sprintf("Error creating session: %v", err)) } defer cass.Close() sub := Record{} q := cass.Query( `SELECT id, email, created, updated, deleted FROM subscribers` ) q.Scan(&sub.Id, &sub.Email, &sub.Created, &sub.Updated, &sub.Deleted) fmt.Printf("Record: %vn", sub)
  • 12. Go Web Services • Go seems to be particularly popular for web services • With good reasons • The standard library’s HTTP server is quite good • Deploy a single binary • High concurrency • Light resource usage
  • 13. Hello WWW package main ! import ( "fmt" "net/http" ) ! func main() { http.HandleFunc(“/index.txt", func(w http.ResponseWriter, r *http.Request) { fmt.Fprintf(w, “Ohai!n") } ) ! } http.ListenAndServe(":8080", nil)
  • 14. Skeezy: don’t do this at home • Written specifically for this talk • No (known) heinous crimes • https://github.com/tobert/skeezy
  • 15. skeezy package main ! import ( … ) ! func main () { // connect to Cassandra (same as before) ! ! } // set up routes (with a twist) // start the web service (same as before)
  • 16. skeezy - setting up routes http.Handle("/img/", http.StripPrefix("/img/", http.FileServer(http.Dir(“./public/img/“)) ) ) ! http.HandleFunc(“/c/“, func(w http.ResponseWriter, r *http.Request) { q := cass.Query(`SELECT id FROM c WHERE postId=?`, id.Bytes()) q.Iter() ! }) c := Comment{} for iq.Scan(&c.Id, &c.ParentId, &c.Created) { fmt.Fprintf(w, “%v”, c) }
  • 17. skeezy - globals? package main import (…) ! var cass *gocql.Session ! func main () { // … var err error cass, err = cluster.CreateSession() // … ! } http.HandleFunc(“/c/“, func(…) { q := cass.Query(…) // … })
  • 18. skeezy - closure func main () { // … cass, err := cluster.CreateSession() // … ! ) http.HandleFunc(“/c/“, func(…) { q := cass.Query( … ) }
  • 19. skeezy - responsible passing func main () { // … cass, err := cluster.CreateSession() // … ! ) http.HandleFunc(“/c/“, func(…) { cc := skeezy.ListPosts(cass, …) }
  • 20. skeezy - returning data func main () { // … cass, err := cluster.CreateSession() // … ! ) http.HandleFunc(“/c/“, func(…) { cc := skeezy.ListPosts(cass, …) } ! package skeezy ! func ListPosts(…) []Comment { ret := make([]Comment, 1) for { ret = append(ret, c) } return ret }
  • 21. skeezy - channels & goroutines func ListComments(cass *gocql.Session, id uuid.UUID) (chan *Comment) { cc := make(chan *Comment) ! ! } go func() { iq := cass.Query(`… WHERE postId=?`, id.Bytes()).Iter() for { c := Comment{} if iq.Scan(&c.Id, &c.ParentId, &c.Created) { cc <- &c } else { break } } if err := iq.Close(); err != nil { log.Fatal(err) } close(cc) }() return cc
  • 22. skeezy - channel receiver // a list of comment ids http.HandleFunc("/c/", func(…) { cc := skeezy.ListComments(cass, getId(r, “/c/“)) ! }) ! for comment := range cc { js, _ := json.Marshal(comment) w.Write(js) }
  • 23. Overview • Cassandra and Go are both great for high concurrency applications • Go is a simple and powerful language • Both are great choices for your next application • Learn more • http://golang.org • http://planetcassandra.com/ • http://tux21b.org/gocql/ ! • Questions?