DRIVING INNOVATION THROUGH DATACASCADING 3 AND BEYONDAndré Kelpe | Apache Big Data Europe | Budapest, September 28th 2015

SPEAKER

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André KelpeSenior Software Engineer at Concurrent company behind Cascading, Lingual and Drivenhttp://concurrentinc.com / @concurrent

andre@concurrentinc.com / @fs111

http://cascading.org

Apache licensed Java framework for writing data oriented applications

production ready, stable and battle proven

INTRODUCTION

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PHILOSOPHY

developer productivity

users focus on business problems, not distributed systems knowledge

predictable runtime behaviour

fail fast

PHILOSOPHY

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stable user APIs

safe defaults with knobs for experts

batch workloads

PHILOSOPHY

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testability & robustness

production quality applications rather than a collection of scripts

abstractions over interchangeable platforms

PHILOSOPHY

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TERMINOLOGY

A SERIES OF PIPES

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https://www.flickr.com/photos/theilr/4283377543/sizes/l

CASCADING TERMINOLOGY

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• Taps are sources and sinks for data• Schemes represent the format of the data • Pipes are connecting Taps

● Tuples flow through Pipes● Fields describe the Tuples● Operations are executed on Tuples in

TupleStreams● Pipes can be merged, spliced, joined etc.● Pipe-assemblies are reusable components

CASCADING TERMINOLOGY

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FlowConnector uses QueryPlanner to translate FlowDef into Flow to run on computational platform

Flows can be orchestrated via Cascade

Applications are Directed Acyclic Graphs (DAG)

CASCADING TERMINOLOGY

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DAG

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PLATFORMS

CASCADING PLATFORMS

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local

change 1 line of code, recompile, done.

COMPILER ANALOGY

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User Code TranslationOptimisationAssembly

CPU Architecture

QueryPlanner/RuleEngine

MR

Tez

Flink

FlowDef

FlowDef

FlowDef

FlowDef

FlowDefothers…

DAG

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A DAG RUNNING ON A PLATFORM

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REAL WORLD DAG

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https://github.com/cchepelov/wcplus

https://driven.cascading.io/index.html#/apps/A7544E2B8E7C410397B4AE88F53326D1

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CODE EXAMPLE

● Fluid - A Fluent API for Cascading− Targeted at application writers− https://github.com/Cascading/fluid

● „Raw“ Cascading API− Targeted for library writers, code

generators, integration layers− https://github.com/Cascading/cascading

APIS

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COUNTING WORDS

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String docPath = args[ 0 ];

String wcPath = args[ 1 ];

Properties properties = new Properties();

AppProps.setApplicationJarClass( properties, Main.class );

FlowConnector flowConnector = new Hadoop2MR1FlowConnector( properties );

// create source and sink taps

Tap docTap = new Hfs( new TextDelimited( true, "\t" ), docPath );

Tap wcTap = new Hfs( new TextDelimited( true, "\t" ), wcPath );

...

COUNTING WORDS (CONT.)

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// specify a regex operation to split the "document" text lines into a token stream

Fields token = new Fields( "token" );

Fields text = new Fields( "text" );

RegexSplitGenerator splitter =

new RegexSplitGenerator( token, "[ \\[\\]\\(\\),.]" );

// only returns "token"

Pipe docPipe = new Each( "token", text, splitter, Fields.RESULTS );

// determine the word counts

Pipe wcPipe = new Pipe( "wc", docPipe );

wcPipe = new GroupBy( wcPipe, token );

wcPipe = new Every( wcPipe, Fields.ALL, new Count(), Fields.ALL );

...

COUNTING WORDS (CONT.)

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// connect the taps, pipes, etc., into a flow

FlowDef flowDef = FlowDef.flowDef()

.setName( “word count" )

.addSource( docPipe, docTap )

.addTailSink( wcPipe, wcTap );

Flow wcFlow = flowConnector.connect( flowDef )

wcFlow.complete(); // ← runs the code

}

A FULL TOOLBOX

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● Operations − Function

− Filter

− Regex/Scripts

− Boolean operators

− Count/Limit/Last/First

− Scripts

− Unique

− Asserts

− Min/Max

● Splices− GroupBy− CoGroup− HashJoin− Merge

● JoinsLeft, right, outer, inner, mixed, custom

A FULL TOOLBOX

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• data access: JDBC, HBase, elasticsearch, redshift, HDFS, S3, Cassandra, kinesis, accumulo …

• data formats: avro, parquet, ORC (+ACID), thrift, protobuf, CSV, TSV…

• integration points: Cascading Lingual (SQL), Apache Hive, M/R apps, custom

OUTLOOK TO CASCADING 3.1+

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• improved serialization through strong typing

• Cascading on Apache Flink

• Cascading on Hazelcast

DON’T LIKE JAVA?

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Clojure/logic programming

https://github.com/nathanmarz/cascalog

Clojure

https://github.com/Netflix/PigPen

Scala

https://github.com/twitter/scalding

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QUESTIONS?

LINK COLLECTION

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• http://www.cascading.org/ • https://github.com/Cascading/ • http://driven.io/ • http://concurrentinc.com • https://groups.google.com/forum/#!forum/

cascading-user • http://docs.cascading.org/tutorials/etl-log/ • http://docs.cascading.org/cascading/3.0/

userguide/html/

DRIVING INNOVATION THROUGH DATACASCADING 3 AND BEYONDAndré Kelpe | Apache Big Data Europe | Budapest, September 28th 2015