49
Scala: Lingua Franca of Fast Data Jamie Allen Sr. Director of Global Solutions Architects

Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Scala: Lingua Franca of Fast Data

Jamie AllenSr. Director of Global Solutions Architects

Page 2: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Why Scala?• Who is doing this?• What is Fast Data?• Architecting for Fast Data

Agenda

Page 3: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Cloud portability versus native control• Application correctness versus speed of development• Modularity versus global namespace• Concise syntax versus boilerplate• Multi-threaded simplicity via abstractions versus low-level control

Tradeoffs

Page 4: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• REPL• Type safety• Modularity• Concise syntax• Multi-threaded simplicity• Data-centric semantics• Managed runtime for cloud portability• Ecosystem

Scala is the local optimum

Page 5: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Scala is the local optimum

Page 6: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

The JVM is a primary reason for Scala’s success

Page 7: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• No REPL or Notebook• Not a data-centric language, particularly collections semantics

Why not Java?

Page 8: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Data-centric language, has all of the wonderful collections semantics we want• No type safety• No modularity

Why not Python?

Page 9: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Weak type safety• Collections are too elemental• Native execution is a non-starter, so Go is the only option• Garbage collection is not generational

Why not Go or C++?

Page 10: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Scala just so happened to fit well in this space• Performance• Correctness• Conciseness

• Scala will evolve• Other languages will come in time

Scala is NOT the end of the road

Page 11: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Who is doing this?

Page 12: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 13: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

One Caveat: Apache Beam and TensorFlow

Page 14: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Why Scala?At the time we started, I really wanted a PL that supports a language-integrated interface (where people write functions inline, etc)… However, I also wanted to be on the JVM in order to easily interact with the Hadoop filesystem and data formats for that. Scala was the only somewhat popular JVM language that offered this kind of functional syntax and was also statically typed (letting us have some control over performance), so we chose that. Today there might be an argument to make the first version of the API in Java with Java 8, but we also benefitted from other aspects of Scala in Spark, like type inference, pattern matching, actor libriaries, etc.Matei Zaharia, creator of Spark

Page 15: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

What is Fast Data?

Page 16: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

A bit of history: Hadoop

Page 17: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

YARN

HDFS

MRjob#1

MRjob#2

Flume Sqoop

DBs

SlaveNode

DiskDiskDiskDiskDisk

NodeMgr

DataNode

Master

ResourceManager

NameNode

Worker

Page 18: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Hadoop strengths• Lowest capital expenditure for big data• Excellent for ingesting and integrating diverse datasets• Flexible

• Classic analytics (aggregations and data warehousing)• Machine learning

Page 19: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Hadoop weaknesses• Complex administration• YARN requires dedicated cluster• MapReduce foibles

• Poor performance• Imperative programming model• No stream processing support

Page 20: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Fast Data with Spark

Page 21: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 22: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Spark• 100x faster as a replacement for Hadoop MapReduce• Uses much fewer machines and resources• Incredible support from the community and enterprise

Page 23: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Spark use cases• Primarily anomaly detection

• Risk management• Fraud detection• Odds recalculation

• Spam filters• Update search engine results quickly

Page 24: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• Spark had it with RDDs• They removed it with the DataFrames API• Brought it back with DataSets, but not as comprehensively as RDDs

Type safety

Page 25: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Why not Flink?• Flink has much better stream handling for low latency systems that Spark currently

lacks• Event timing• Watermarks• Triggers

• Exactly-once semantics• Pipeline portability via Apache Beam integration

Page 26: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Why not Flink?

Page 27: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Architecting for Fast Data

Page 28: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

This isn’t enough

Page 29: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Old and busted

Page 30: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Traditional application architectures and platforms are obsolete.Gartner

Page 31: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

How do we avoid messing this up?

Page 32: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

• At the API• In our source• For our data

We want isolation

Wikipedia, Creative Commons, created by DFoerster

Page 33: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

We want realistic data management• Use CQRS and Event Sourcing, not CRUD• Transactions, especially distributed, will not work• Consistency is an anti-pattern at scale• Distributed locks and shared data will limit you• Data fabrics break all of these conventions

Think in terms of compensation, not prevention.Kevin Webber, Lightbend

Page 34: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

We want to ACID v2• Associativity, not Atomicity• Commutativity, not Consistency• Idempotent, not Isolation• Distributed, not Durable

Wikipedia, Creative Commons, created by Weston.pace

Page 35: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

New hotness

Page 36: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Mesos,YARNonBareMetal,Cloud

HDFS,S3,CFSv2SQL/NoSQL

Core

Streaming SQL

MLlib GraphX

Fast Data Architecture

HTTP/RESTInternet

ReacHveServices

LogsandOtherFiles

Actors

Cluster …Persist

AkkaStreams

WebServices

Page 37: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 38: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 39: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 40: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 41: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 42: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 43: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 44: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 45: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 46: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 47: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD
Page 48: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD

Learning Spark• Go to http://bigdatauniversity.com, built by IBM

Page 49: Scala: Lingua Franca of Fast Data - Meetupfiles.meetup.com/7770922/20160524 IBM Fast Data Meetup.pdf · We want realistic data management • Use CQRS and Event Sourcing, not CRUD