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Don’t Reinvent the
Big-Data Wheel!
Clint Kelly - @clintwkelly
WibiData
Building real-time, Big Data applications on
Cassandra with the open-source Kiji project
Big Data Camp LA
14 June 2014
Agenda
Agenda
The problem
Agenda
The problem
How Kiji works
Agenda
The problem
How Kiji works
Kiji in production
Agenda
The problem
How Kiji works
Kiji in production
Kiji on Cassandra
The problem.
!
!
!
Open source
software
!
!
!
!
!
!
?
Data in
Data in
Data in
REST
Inspect
Inspect
Inspect
Inspect
Inspect
Train
Train
Train
“Trained
model”
Train
“Trained
model”
Train
“Trained
model”
Train
“Trained
model”
Train
“Trained
model”
Model
Model
AaBb
Model
AaBb
Score
Score
Score
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
Score
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
Score
Batch
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
AaBb
Data out
Data out
Data out
REST
Data out
REST
REST
REST
REST
AaBb
AaBb
AaBb
AaBb
Experiments / Deployment
Experiments / Deployment
Experiments / Deployment
c
d
c
d
Experiments / Deployment
c
d
c
d
3
Data in / out
Data in / out
(REST)
Inspect and train
Score
Score
(real-time)
!
?
!!
Kiji
How Kiji works
Kiji History
Kiji History
Kiji History
How does it work?
Kiji
How does it work?
Kiji
Engineering
Data
Science
How does it work?
Kiji
Data
Science
Write
Engineering
How does it work?
Kiji
Data
Science
Write
Channels Engineering
How does it work?
Kiji
Data
Science
Write
Logs
DBs
EngineeringChannels
How does it work?
Kiji
Data
Science
Write
Logs
DBs
KijiMR
EngineeringChannels
How does it work?
Kiji
Data
Science
Write
KijiREST
Stream
EngineeringChannels
How does it work?
Kiji
Data
Science
Write
Read
KijiREST
Stream
EngineeringChannels
How does it work?
KijiSchema
(Cassandra)
Data
Science
Write
Read
KijiREST
Stream
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
Data
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
Data
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
Data
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
Data
C
C
C
EngineeringChannels
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiMR
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
R
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
Scorer
C
C
C
R
R
R
EngineeringChannels
Data
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
R
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
R
R
KijiSchema
(Cassandra)
How does it work?
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
Query
KijiHive
KijiExpress
KijiMR
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Data
Scorer
R
R
R
3
Data in / out
KijiREST
KijiMR
Inspect and train
KijiHive
KijiMR
KijiExpress
Score
(real-time)
KijiModelRepository
KijiScoring
Modular
Kiji in production
In production now
Fortune 500 retailer: Personalized recommendations
Opower: Energy usage and analytics reporting
Fortune 500 retailer
Serving personalized recommendations
Kiji
Write
Logs
DBs
KijiMR
EngineeringChannels
Bulk load
KijiSchema
(Cassandra)
Data
Science
User 1
User 2
User 3
KijiExpress
KijiMR
C
C
C
Data
Train
KijiSchema
(Cassandra)
Data
Science
Write
Read
KijiREST
Stream
User 1
User 2
User 3
KijiScoring
C
C
C
R
Kiji Model
Repository
EngineeringChannels
Scorer
Score
Kiji on Cassandra
KijiSchema
KijiSchema
KijiSchema
Cassandra
KijiSchema
Cassandra
KijiSchema
HBase
Kiji ~ BigTable
table
table
row
row
row
row
row
row
row
row
row
row
row
row
row
Row key = entity ID
entity ID data
Composite entity IDs
data0xfa “bob”
Column families
payment0xfa “bob” interactions recommendations
inter:
clicks
inter:
search0xfa “bob”
payment:
cardnum
payment:
address
rec:
scorer1
rec:
scorer2
Columns
Timestamped versions
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Complex data types
record Search {
string search_term;
long session_id;
device_type device;
}
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Locality group
Locality group
Column families
Locality group
Locality group
Batch Batch Batch
Locality group
Batch Batch Batch
Real-
time
Real-
time
Real-
time
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
locality_group_real_timelocality_group_batch
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
locality_group_real_timelocality_group_batch
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
locality_group_real_timelocality_group_batch
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
locality_group_real_timelocality_group_batch
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
On disk.
Compressed.
locality_group_real_timelocality_group_batch
Locality group
Batch Batch
Real-
time
Real-
time
Real-
time
Batch
On disk.
Compressed.
In memory.
Row ➔ transactional consistency
Locality group ➔ Column family
CREATE TABLE loc_grp
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Entity ID ➔ Primary key
CREATE TABLE loc_grp (city text, user text,
PRIMARY KEY (city, user) )
WITH CLUSTERING ORDER BY (user ASC);
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Family, Qualifier,Version ➔ Clustering Columns
CREATE TABLE loc_grp (city text, user text,
family text, qualifier text, version bigint,
PRIMARY KEY (city, user, family, qualifier, version) )
WITH CLUSTERING ORDER BY (user ASC, family ASC, qualifier ASC,
version DESC);
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Column values ➔ Blobs
CREATE TABLE loc_grp (city text, user text,
family text, qualifier text, version bigint, value blob,
PRIMARY KEY (city, user, family, qualifier, version) )
WITH CLUSTERING ORDER BY (user ASC, family ASC, qualifier ASC,
version DESC);
songs:
let it be
inter:
search0xfa “bob” songs:
let it besongs:
let it besongs:
let it be
inter:
clicks
1396560123
payment:
cardnum
payment:
address
rec:
scorer2
rec:
scorer3rec:
scorer3rec:
scorer3
rec:
scorer1
1395650231
Implementation notes
Implementation notes
DataStax Java driver
Implementation notes
DataStax Java driver
Cassandra 2.0.6
Implementation notes
DataStax Java driver
Cassandra 2.0.6
Async API
Implementation notes
DataStax Java driver
Cassandra 2.0.6
Async API
New MapReduce InputFormat
Issues
Operations across locality groups
Operations across locality groups
Kiji locality group ➔ C* column family
Operations across locality groups
Kiji locality group ➔ C* column family
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Compare-and-set across locality groups
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Compare-and-set across locality groups
➔ not allowed in C* Kiji
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Compare-and-set across locality groups
➔ not allowed in C* Kiji
Operations across locality groups
Kiji locality group ➔ C* column family
Read across locality groups
➔ multiple C* reads (async API!)
Compare-and-set across locality groups
➔ not allowed in C* Kiji
Lose transactional consistency
Filters
HBase ➔ Rich server-side filters
Cassandra ➔ WHERE clauses
Filters
HBase ➔ Rich server-side filters
Cassandra ➔ WHERE clauses
Client-side filtering
Project status
Components working with
Cassandra
KijiSchema
KijiMR
KijiREST
KijiExpress
KijiSchema available for
download / tutorial
https://github.com/kijiproject/kiji-
schema/blob/cassandra/
cassandra_tutorial.md
(tinyurl.com/mmubg5o)
All code available with tutorial
within 1-2 months
Summary
3
Data in / out
KijiREST
KijiMR
Inspect and train
KijiHive
KijiMR
KijiExpress
Score
(real-time)
KijiModelRepository
KijiScoring
Thanks to Cassandra community
Mailing lists
Meetups, webinars, conferences
Try it now!
www.kiji.org
tinyurl.com/mmubg5o
@clintwkelly
Kiji cassandra la   june 2014 - v02 clint-kelly

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