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SPRINGONE2GX WASHINGTON, DC
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Spring XD – Today and Tomorrow By Mark Pollack
@markpollack
Safe Harbor Statement
The following is intended to outline the general direction of Pivotal's offerings. It is intended for information purposes only and may not be incorporated into any contract. Any information regarding pre-release of Pivotal offerings, future updates or other planned modifications is subject to ongoing evaluation by Pivotal and is subject to change. This information is provided without warranty or any kind, express or implied, and is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions regarding Pivotal's offerings. These purchasing decisions should only be based on features currently available. The development, release, and timing of any features or functionality described for Pivotal's offerings in this presentation remain at the sole discretion of Pivotal. Pivotal has no obligation to update forward looking information in this presentation.
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Contents
• Big Data ecosystem driving new features
• Cloud Native principles driving next generation architecture
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Since last year…
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Release Date Features
1.0 7/30/15 Stream & Batch processing, Analytics, Machine Learning DSL, Shell Runtime: Standlone FT, YARN
1.1 2/15/15 Kafka Message Bus Reactor, RxJava, Spark, Python processing. Sqoop Integration Role based authorization
1.2 6/17/15 Flo UI Performance Improvements Ambari HAWQ/GPDB Integration
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Flo Overview
• HTML 5 canvas application
• Drag and Drop interface
• Health Monitoring
• Visualization of Metrics
• Also available for SI
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Python
• XD 1.0 provides evaluation of models in PMML format
• Java Evaluator Predictive Model Markup Language (PMML)
• JPMML-Evaluator
• https://github.com/jpmml/jpmml-evaluator
• Python has rich libraries for numerical analysis, machine learning
• Numpy, scikit
• XD 1.1 – Python in stream definitions
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Apache Kafka
• “Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.”
• Why it is popular?
• Fast – can easily saturate network
• Store tons of data – TBs
• Replay
• Clustered/HA
• Partitioning –
o Topics have multiple partitions
o You divide the data based on the value of a field in the data
o Can subscribe to specific partitions
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Unless otherwise indicated, these s l ides are © 2013-2015 Pivotal Software, Inc. and l icensed under a Creat ive Commons Attr ibut ion-NonCommercial l icense: ht tp: / /creat ivecommons.org/ l icenses/by-nc/3.0/
RxJava
• Reactive X – http://reactivex.io/
• “An API for asynchronous programming with observable streams”
• “ReactiveX is a combination of the best ideas from the Observer pattern, the Iterator pattern, and functional programming”
• Java Version - NetflixOSS project: https://github.com/ReactiveX/RxJava
• Functional style programming with asynchronous events
• Map, filter, reduce
• Functional transformations are a natural way of describing stream processing
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Spark
• Large scale data processing system
• RDD
• Resilient distributed data set
• Immutable
• Partitioned across machines
• Computation
• DAG of connected RDDs
• Split DAGs into stages to compute
• Batch and Stream style processing
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Spark Streaming
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Word Count
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Move to Data Flow
• Analogy with tomcat/servlet containers
• Some downsides
• New advantages (right now)
• Don’t need to run hsqldb if you are only doing stream processing
• Can scale up/down individual modules in a stream at runtime.
• Resource allocation per module (memory)
• Better ‘composition’ to co-locate modules
• Entire stream can be deployed to avoid message hops
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What’s next…
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Spring Cloud Data Flow
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Motivations
• Parent/Child class load issues, inadvertent spral of xd/lib
• Use cases where streams should avoid any network hops
• Additional requirments
• Scale up/down, upgrade/downgrade versions
• Resource allocaiton
• Would require ‘us’ to add these features to the runtime….
• Many other people are doing this…
• Develop a SPI to delegate to other systems to launch, scale, monitor, etc.
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Modules -> ‘Microservice’ Applications Runtime -> SPI (Lattice, CF, YARN, local)
Analogy with Web Apps and servlet contaier
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Container Container
Spring XD 1.x
Host
Spring Cloud Stream
• Modules run inside containers • Container is a Boot app • Modules are ApplicationContexts
• Modules are executable Boot apps • Easier to use Spring Cloud features • Easier to test, consistent dev experience • Portable and “cloud-native”
M
Host
M
M M
M M M
M M
M
ZooKeeper Spring Cloud Data Flow (optional) SPI Implementation
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• OOTB modules • Executable Boot Apps
• Boot for Spring Integration and Batch • Auto-Configuration, Bindings
XD
Container
Modules
Admin
Spring Cloud Data Flow
Spring Cloud Stream
Modules
Spring Cloud Task
Modules
Spring Cloud Stream
Spring Cloud Task
• REST API, Shell, UI • Module Deployer SPI:
• Singlenode • Lattice • YARN • Cloud Foundry
XD 1.x --> Spring Cloud Data Flow
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spring-cloud-dataflow
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shell ui
admin (REST API)
dsl-parser
stream-repository
module-registrymodule-deployer
local-deployer cloudfoundry-deployer
yarn-deployer lattice-deployer
task-repository
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http://cloud.spring.io/spring-cloud-dataflow/
http://cloud.spring.io/spring-cloud-stream/
Learn More. Stay Connected.
@springcentral Spring.io/video
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STOP! Download Fonts Now.
PLEASE DOWNLOAD AND INSTALL THESE FONTS BEFORE CREATING YOUR PRESENTATION. You can download the fonts here…
https://www.dropbox.com/s/na8jewnsp8dp659/SpringOne-2015-Fonts.zip?dl=0
Fonts included in the ZIP file:
• Proxima Nova (body text)
• Domine (headlines)
http://www.fontspring.com/support/installing/how-do-i-install-fonts-on-my-mac
http://www.fontspring.com/support/installing/how-do-i-install-fonts-on-my-windows-pc
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Brand Colors
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R: 241 G: 241 B: 241
R: 153 G: 153 B: 153
R: 109 G: 179 B: 63
Spring Brand Colors
R: 52 G: 48 B: 45
SpringOne 2GX 2015 Theme Colors
R: 83 G: 83 B: 83
R: 12 G: 48 B: 100
R: 156 G: 209 B: 121
R: 204 G: 204 B: 204
R: 38 G: 97 B: 168
R: 114 G: 163 B: 211
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Code Slide
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// This is Arial: 18 pt or higher please public class TransferServiceImpl implements TransferService { public TransferServiceImpl(AccountRepository ar) { this.accountRepository = ar; } … }
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Safe Harbor Statement
The following is intended to outline the general direction of Pivotal's offerings. It is intended for information purposes only and may not be incorporated into any contract. Any information regarding pre-release of Pivotal offerings, future updates or other planned modifications is subject to ongoing evaluation by Pivotal and is subject to change. This information is provided without warranty or any kind, express or implied, and is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions regarding Pivotal's offerings. These purchasing decisions should only be based on features currently available. The development, release, and timing of any features or functionality described for Pivotal's offerings in this presentation remain at the sole discretion of Pivotal. Pivotal has no obligation to update forward looking information in this presentation.
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If you are a pivotal employee and your talk contains forward facing information, please include this slide at the beginning or conclusion of the presentation. Remove this text box before presenting.
Unless otherwise indicated, these s l ides are © 2013-2015 Pivotal Software, Inc. and l icensed under a Creat ive Commons Attr ibut ion-NonCommercial l icense: ht tp: / /creat ivecommons.org/ l icenses/by-nc/3.0/
LOGOS & ICONS
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Logos
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Event Logos and Icons
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Logo on dark Logo on light Date logo on dark Date logo on light
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Spring Project Icons
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Spring Framework
Spring Security
Spring Data
Spring Batch
Spring Integration
Spring Reactor
Spring AMQP
Spring Hateoas
Spring Mobile
Spring Android
Spring Social
Groovy Spring Web Services
Spring Web Flow
Spring XD
Spring Boot
Spring LDAP
Grails
PNG and PSD files for all Spring projects can be found here… https://www.dropbox.com/sh/5rbbt8v6evvm7xm/AAAZmhgf0zglGHZUWYhPvojFa?dl=0
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Spring Tool Suite Icons
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Spring Tool Suite Groovy / Grails Tool Suite
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Spring Document Icons
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Spring Framework Tools Support
Guides Reference App Tutorials
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Additional Spring Icons
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Continuous Integration
Metrics Forums / Discussion
Blog @ Issues
All Author Broadcast Date News Event
Releases Apple Linux Engineering Windows
Professional Support
Community Support
Location
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Icon Guidelines
• These icons can be used when Spring icons are not appropriate.
• Max icon size is 2.08 inches – anything larger and the icon will be blurry
• Icons are transparent and can be placed over images and other objects
• To use an icon, simply choose, copy and paste
• 200x200 PNG files can be found here… https://www.dropbox.com/sh/wy65b4l5t4fv9b4/AAD1LMHcOtwJSTbNu23zqywka?dl=0
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Max icon size: 2.08 inches
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CHARTS & TABLES
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Sample Pie Chart
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1st Qtr
2nd Qtr
3rd Qtr
4th Qtr
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Sample Bar Chart
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0
20
40
60
80
100
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
North
South
East
West
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Sample Line Chart
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0
20
40
60
80
100
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
North
South
East
West
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Sample Table
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2007 2008 2009 2010
Category 1 2.4 6.4 4.1 6.6
Category 2 8.2 4.5 3.2 3.8
Category 3 4.6 3.2 1.9 9.6
Category 4 6.7 3.3 3.4 2.2
Category 5 4.3 5.6 7.1 3.4