SlideShare ist ein Scribd-Unternehmen logo
1 von 10
Apache Crunch
Rahul Sharma
Apache
Agenda :


    Issues with MapReduce pipelines

    Solving with Apache Crunch

    Data Model & Operations

    System Workflow

    Examples

    Question & Answers




                                      2
Issues with MapReduce Pipelines



                  Unit Testing pipeline ??
                   You must be joking !!     Can someone tell me where
                                               is the business logic ??



  Chain performance??




   Learn Latin(pig)
        first!!


                                                                          3
Apache Crunch


    Is a Java library

    Contains Collections which can excute Parallel operations

    Lazy evaluation of Collections at runtime

    Operations merged at runtime to have efficient chains.

    Available @ http://incubator.apache.org/crunch/

    Based on Google FlumeJava paper




                                                                4
Apache Crunch


    Supports Hadoop version 1 and 2-alpha

    Supports HBase, jdbc etc

    Works with Writables, Avro, Thrift and proto-buffers

    Scala varient also exists

    Integration with R and Clojure in process

    Archetype exists for creating sample maven project




                                                           5
Apache Crunch : Data Model
   
       Pipeline
   
       MRPipeline
   
       MemPipeline
   
       PCollection<T>
   
       PTable<K,V>
   
       PGroupTable<K,V>
   
       Source<T>
   
       Target<T>
   
       Emitter<T>
                             6
   
       PType<K,V>
Apache Crunch : Operations

  
      DoFn<S,T>
  
      CombineFn<S,T>
  
      FilterFn<T>
  
      Joins
  
      Cartesian
  
      Sort
  
      SecondarySort
  
      PObject<T>
  
      BloomFilters
                             7
Apache Crunch : System Workflow
                 Construct a pipeline




                    Pipeline.done()




         Map           Map              Map


         GBK           GBK


        Reduce       Reduce




                                              8
                        Output
Apache Crunch : Examples

  
      WordCount example
  
      Avro example
  
      Sorting example
  
      SecondarySort
  
      Join Example
  
      BloomFilters




                           9
Write to me : rsharma@apache.org
Example src : http://github.com/rahul0208
                                            10
Blog         : devlearnings.wordpress.com

Weitere ähnliche Inhalte

Was ist angesagt?

Improving Robustness In Distributed Systems
Improving Robustness In Distributed SystemsImproving Robustness In Distributed Systems
Improving Robustness In Distributed Systemsl xf
 
Apache Flink internals
Apache Flink internalsApache Flink internals
Apache Flink internalsKostas Tzoumas
 
Dynamic pricing of Lyft rides using streaming
Dynamic pricing of Lyft rides using streamingDynamic pricing of Lyft rides using streaming
Dynamic pricing of Lyft rides using streamingAmar Pai
 
Integrating libSyntax into the compiler pipeline
Integrating libSyntax into the compiler pipelineIntegrating libSyntax into the compiler pipeline
Integrating libSyntax into the compiler pipelineYusuke Kita
 
Apache Flink Training: DataStream API Part 1 Basic
 Apache Flink Training: DataStream API Part 1 Basic Apache Flink Training: DataStream API Part 1 Basic
Apache Flink Training: DataStream API Part 1 BasicFlink Forward
 
Apache Flink @ NYC Flink Meetup
Apache Flink @ NYC Flink MeetupApache Flink @ NYC Flink Meetup
Apache Flink @ NYC Flink MeetupStephan Ewen
 
Apache Flink@ Strata & Hadoop World London
Apache Flink@ Strata & Hadoop World LondonApache Flink@ Strata & Hadoop World London
Apache Flink@ Strata & Hadoop World LondonStephan Ewen
 
Streaming your Lyft Ride Prices - Flink Forward SF 2019
Streaming your Lyft Ride Prices - Flink Forward SF 2019Streaming your Lyft Ride Prices - Flink Forward SF 2019
Streaming your Lyft Ride Prices - Flink Forward SF 2019Thomas Weise
 
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019Thomas Weise
 
Structured Streaming Using Spark 2.1
Structured Streaming Using Spark 2.1Structured Streaming Using Spark 2.1
Structured Streaming Using Spark 2.1Sigmoid
 
Map Reduce Execution Architecture
Map Reduce Execution Architecture Map Reduce Execution Architecture
Map Reduce Execution Architecture Rupak Roy
 
Linker and loader upload
Linker and loader   uploadLinker and loader   upload
Linker and loader uploadBin Yang
 
Practical SPARQL Benchmarking Revisited
Practical SPARQL Benchmarking RevisitedPractical SPARQL Benchmarking Revisited
Practical SPARQL Benchmarking RevisitedRob Vesse
 
Python Streaming Pipelines with Beam on Flink
Python Streaming Pipelines with Beam on FlinkPython Streaming Pipelines with Beam on Flink
Python Streaming Pipelines with Beam on FlinkAljoscha Krettek
 
Mapreduce by examples
Mapreduce by examplesMapreduce by examples
Mapreduce by examplesAndrea Iacono
 
Access to non local names
Access to non local namesAccess to non local names
Access to non local namesVarsha Kumar
 
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...Flink Forward
 

Was ist angesagt? (20)

Rcpp
RcppRcpp
Rcpp
 
Improving Robustness In Distributed Systems
Improving Robustness In Distributed SystemsImproving Robustness In Distributed Systems
Improving Robustness In Distributed Systems
 
Apache Flink internals
Apache Flink internalsApache Flink internals
Apache Flink internals
 
Dynamic pricing of Lyft rides using streaming
Dynamic pricing of Lyft rides using streamingDynamic pricing of Lyft rides using streaming
Dynamic pricing of Lyft rides using streaming
 
Integrating libSyntax into the compiler pipeline
Integrating libSyntax into the compiler pipelineIntegrating libSyntax into the compiler pipeline
Integrating libSyntax into the compiler pipeline
 
Apache Flink Training: DataStream API Part 1 Basic
 Apache Flink Training: DataStream API Part 1 Basic Apache Flink Training: DataStream API Part 1 Basic
Apache Flink Training: DataStream API Part 1 Basic
 
Apache Flink @ NYC Flink Meetup
Apache Flink @ NYC Flink MeetupApache Flink @ NYC Flink Meetup
Apache Flink @ NYC Flink Meetup
 
Apache Flink@ Strata & Hadoop World London
Apache Flink@ Strata & Hadoop World LondonApache Flink@ Strata & Hadoop World London
Apache Flink@ Strata & Hadoop World London
 
Streaming your Lyft Ride Prices - Flink Forward SF 2019
Streaming your Lyft Ride Prices - Flink Forward SF 2019Streaming your Lyft Ride Prices - Flink Forward SF 2019
Streaming your Lyft Ride Prices - Flink Forward SF 2019
 
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019
Python Streaming Pipelines on Flink - Beam Meetup at Lyft 2019
 
Structured Streaming Using Spark 2.1
Structured Streaming Using Spark 2.1Structured Streaming Using Spark 2.1
Structured Streaming Using Spark 2.1
 
Map Reduce Execution Architecture
Map Reduce Execution Architecture Map Reduce Execution Architecture
Map Reduce Execution Architecture
 
Linker and loader upload
Linker and loader   uploadLinker and loader   upload
Linker and loader upload
 
Practical SPARQL Benchmarking Revisited
Practical SPARQL Benchmarking RevisitedPractical SPARQL Benchmarking Revisited
Practical SPARQL Benchmarking Revisited
 
Python Streaming Pipelines with Beam on Flink
Python Streaming Pipelines with Beam on FlinkPython Streaming Pipelines with Beam on Flink
Python Streaming Pipelines with Beam on Flink
 
Java 7 & 8
Java 7 & 8Java 7 & 8
Java 7 & 8
 
Libraries
LibrariesLibraries
Libraries
 
Mapreduce by examples
Mapreduce by examplesMapreduce by examples
Mapreduce by examples
 
Access to non local names
Access to non local namesAccess to non local names
Access to non local names
 
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...
Flink Forward San Francisco 2019: Build a Table-centric Apache Flink Ecosyste...
 

Ähnlich wie Indic threads pune12-apache-crunch

H2O World - What's New in H2O with Cliff Click
H2O World - What's New in H2O with Cliff ClickH2O World - What's New in H2O with Cliff Click
H2O World - What's New in H2O with Cliff ClickSri Ambati
 
Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Apache Spark - Intro to Large-scale recommendations with Apache Spark and PythonApache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Apache Spark - Intro to Large-scale recommendations with Apache Spark and PythonChristian Perone
 
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...confluent
 
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...Kai Wähner
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in ScalaAlex Payne
 
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...Shirshanka Das
 
From Zero to Stream Processing
From Zero to Stream ProcessingFrom Zero to Stream Processing
From Zero to Stream ProcessingEventador
 
Analysis big data by use php with storm
Analysis big data by use php with stormAnalysis big data by use php with storm
Analysis big data by use php with storm毅 吕
 
Sparklife - Life In The Trenches With Spark
Sparklife - Life In The Trenches With SparkSparklife - Life In The Trenches With Spark
Sparklife - Life In The Trenches With SparkIan Pointer
 
Building Scalable Data Pipelines - 2016 DataPalooza Seattle
Building Scalable Data Pipelines - 2016 DataPalooza SeattleBuilding Scalable Data Pipelines - 2016 DataPalooza Seattle
Building Scalable Data Pipelines - 2016 DataPalooza SeattleEvan Chan
 
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQL
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQLSteps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQL
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQLconfluent
 
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!confluent
 
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraReal-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraJoe Stein
 
Spark streaming state of the union
Spark streaming state of the unionSpark streaming state of the union
Spark streaming state of the unionDatabricks
 
Extending Oracle E-Business Suite with Ruby on Rails
Extending Oracle E-Business Suite with Ruby on RailsExtending Oracle E-Business Suite with Ruby on Rails
Extending Oracle E-Business Suite with Ruby on RailsRaimonds Simanovskis
 

Ähnlich wie Indic threads pune12-apache-crunch (20)

H2O World - What's New in H2O with Cliff Click
H2O World - What's New in H2O with Cliff ClickH2O World - What's New in H2O with Cliff Click
H2O World - What's New in H2O with Cliff Click
 
Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Apache Spark - Intro to Large-scale recommendations with Apache Spark and PythonApache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python
 
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...
Event-Driven Model Serving: Stream Processing vs. RPC with Kafka and TensorFl...
 
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...
Event-Driven Stream Processing and Model Deployment with Apache Kafka, Kafka ...
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in Scala
 
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...
Apache Gobblin: Bridging Batch and Streaming Data Integration. Big Data Meetu...
 
From Zero to Stream Processing
From Zero to Stream ProcessingFrom Zero to Stream Processing
From Zero to Stream Processing
 
Analysis big data by use php with storm
Analysis big data by use php with stormAnalysis big data by use php with storm
Analysis big data by use php with storm
 
Sparklife - Life In The Trenches With Spark
Sparklife - Life In The Trenches With SparkSparklife - Life In The Trenches With Spark
Sparklife - Life In The Trenches With Spark
 
Spark ML Pipeline serving
Spark ML Pipeline servingSpark ML Pipeline serving
Spark ML Pipeline serving
 
Building Scalable Data Pipelines - 2016 DataPalooza Seattle
Building Scalable Data Pipelines - 2016 DataPalooza SeattleBuilding Scalable Data Pipelines - 2016 DataPalooza Seattle
Building Scalable Data Pipelines - 2016 DataPalooza Seattle
 
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQL
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQLSteps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQL
Steps to Building a Streaming ETL Pipeline with Apache Kafka® and KSQL
 
Function as a Service
Function as a ServiceFunction as a Service
Function as a Service
 
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!
Apache Kafka and KSQL in Action: Let's Build a Streaming Data Pipeline!
 
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and CassandraReal-Time Log Analysis with Apache Mesos, Kafka and Cassandra
Real-Time Log Analysis with Apache Mesos, Kafka and Cassandra
 
February 2014 HUG : Pig On Tez
February 2014 HUG : Pig On TezFebruary 2014 HUG : Pig On Tez
February 2014 HUG : Pig On Tez
 
Spark streaming state of the union
Spark streaming state of the unionSpark streaming state of the union
Spark streaming state of the union
 
Data Integration
Data IntegrationData Integration
Data Integration
 
Extending Oracle E-Business Suite with Ruby on Rails
Extending Oracle E-Business Suite with Ruby on RailsExtending Oracle E-Business Suite with Ruby on Rails
Extending Oracle E-Business Suite with Ruby on Rails
 
Using R with Hadoop
Using R with HadoopUsing R with Hadoop
Using R with Hadoop
 

Mehr von IndicThreads

Http2 is here! And why the web needs it
Http2 is here! And why the web needs itHttp2 is here! And why the web needs it
Http2 is here! And why the web needs itIndicThreads
 
Understanding Bitcoin (Blockchain) and its Potential for Disruptive Applications
Understanding Bitcoin (Blockchain) and its Potential for Disruptive ApplicationsUnderstanding Bitcoin (Blockchain) and its Potential for Disruptive Applications
Understanding Bitcoin (Blockchain) and its Potential for Disruptive ApplicationsIndicThreads
 
Go Programming Language - Learning The Go Lang way
Go Programming Language - Learning The Go Lang wayGo Programming Language - Learning The Go Lang way
Go Programming Language - Learning The Go Lang wayIndicThreads
 
Building Resilient Microservices
Building Resilient Microservices Building Resilient Microservices
Building Resilient Microservices IndicThreads
 
App using golang indicthreads
App using golang  indicthreadsApp using golang  indicthreads
App using golang indicthreadsIndicThreads
 
Building on quicksand microservices indicthreads
Building on quicksand microservices  indicthreadsBuilding on quicksand microservices  indicthreads
Building on quicksand microservices indicthreadsIndicThreads
 
How to Think in RxJava Before Reacting
How to Think in RxJava Before ReactingHow to Think in RxJava Before Reacting
How to Think in RxJava Before ReactingIndicThreads
 
Iot secure connected devices indicthreads
Iot secure connected devices indicthreadsIot secure connected devices indicthreads
Iot secure connected devices indicthreadsIndicThreads
 
Real world IoT for enterprises
Real world IoT for enterprisesReal world IoT for enterprises
Real world IoT for enterprisesIndicThreads
 
IoT testing and quality assurance indicthreads
IoT testing and quality assurance indicthreadsIoT testing and quality assurance indicthreads
IoT testing and quality assurance indicthreadsIndicThreads
 
Functional Programming Past Present Future
Functional Programming Past Present FutureFunctional Programming Past Present Future
Functional Programming Past Present FutureIndicThreads
 
Harnessing the Power of Java 8 Streams
Harnessing the Power of Java 8 Streams Harnessing the Power of Java 8 Streams
Harnessing the Power of Java 8 Streams IndicThreads
 
Building & scaling a live streaming mobile platform - Gr8 road to fame
Building & scaling a live streaming mobile platform - Gr8 road to fameBuilding & scaling a live streaming mobile platform - Gr8 road to fame
Building & scaling a live streaming mobile platform - Gr8 road to fameIndicThreads
 
Internet of things architecture perspective - IndicThreads Conference
Internet of things architecture perspective - IndicThreads ConferenceInternet of things architecture perspective - IndicThreads Conference
Internet of things architecture perspective - IndicThreads ConferenceIndicThreads
 
Cars and Computers: Building a Java Carputer
 Cars and Computers: Building a Java Carputer Cars and Computers: Building a Java Carputer
Cars and Computers: Building a Java CarputerIndicThreads
 
Scrap Your MapReduce - Apache Spark
 Scrap Your MapReduce - Apache Spark Scrap Your MapReduce - Apache Spark
Scrap Your MapReduce - Apache SparkIndicThreads
 
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker
 Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & DockerIndicThreads
 
Speed up your build pipeline for faster feedback
Speed up your build pipeline for faster feedbackSpeed up your build pipeline for faster feedback
Speed up your build pipeline for faster feedbackIndicThreads
 
Unraveling OpenStack Clouds
 Unraveling OpenStack Clouds Unraveling OpenStack Clouds
Unraveling OpenStack CloudsIndicThreads
 
Digital Transformation of the Enterprise. What IT leaders need to know!
Digital Transformation of the Enterprise. What IT  leaders need to know!Digital Transformation of the Enterprise. What IT  leaders need to know!
Digital Transformation of the Enterprise. What IT leaders need to know!IndicThreads
 

Mehr von IndicThreads (20)

Http2 is here! And why the web needs it
Http2 is here! And why the web needs itHttp2 is here! And why the web needs it
Http2 is here! And why the web needs it
 
Understanding Bitcoin (Blockchain) and its Potential for Disruptive Applications
Understanding Bitcoin (Blockchain) and its Potential for Disruptive ApplicationsUnderstanding Bitcoin (Blockchain) and its Potential for Disruptive Applications
Understanding Bitcoin (Blockchain) and its Potential for Disruptive Applications
 
Go Programming Language - Learning The Go Lang way
Go Programming Language - Learning The Go Lang wayGo Programming Language - Learning The Go Lang way
Go Programming Language - Learning The Go Lang way
 
Building Resilient Microservices
Building Resilient Microservices Building Resilient Microservices
Building Resilient Microservices
 
App using golang indicthreads
App using golang  indicthreadsApp using golang  indicthreads
App using golang indicthreads
 
Building on quicksand microservices indicthreads
Building on quicksand microservices  indicthreadsBuilding on quicksand microservices  indicthreads
Building on quicksand microservices indicthreads
 
How to Think in RxJava Before Reacting
How to Think in RxJava Before ReactingHow to Think in RxJava Before Reacting
How to Think in RxJava Before Reacting
 
Iot secure connected devices indicthreads
Iot secure connected devices indicthreadsIot secure connected devices indicthreads
Iot secure connected devices indicthreads
 
Real world IoT for enterprises
Real world IoT for enterprisesReal world IoT for enterprises
Real world IoT for enterprises
 
IoT testing and quality assurance indicthreads
IoT testing and quality assurance indicthreadsIoT testing and quality assurance indicthreads
IoT testing and quality assurance indicthreads
 
Functional Programming Past Present Future
Functional Programming Past Present FutureFunctional Programming Past Present Future
Functional Programming Past Present Future
 
Harnessing the Power of Java 8 Streams
Harnessing the Power of Java 8 Streams Harnessing the Power of Java 8 Streams
Harnessing the Power of Java 8 Streams
 
Building & scaling a live streaming mobile platform - Gr8 road to fame
Building & scaling a live streaming mobile platform - Gr8 road to fameBuilding & scaling a live streaming mobile platform - Gr8 road to fame
Building & scaling a live streaming mobile platform - Gr8 road to fame
 
Internet of things architecture perspective - IndicThreads Conference
Internet of things architecture perspective - IndicThreads ConferenceInternet of things architecture perspective - IndicThreads Conference
Internet of things architecture perspective - IndicThreads Conference
 
Cars and Computers: Building a Java Carputer
 Cars and Computers: Building a Java Carputer Cars and Computers: Building a Java Carputer
Cars and Computers: Building a Java Carputer
 
Scrap Your MapReduce - Apache Spark
 Scrap Your MapReduce - Apache Spark Scrap Your MapReduce - Apache Spark
Scrap Your MapReduce - Apache Spark
 
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker
 Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & Docker
 
Speed up your build pipeline for faster feedback
Speed up your build pipeline for faster feedbackSpeed up your build pipeline for faster feedback
Speed up your build pipeline for faster feedback
 
Unraveling OpenStack Clouds
 Unraveling OpenStack Clouds Unraveling OpenStack Clouds
Unraveling OpenStack Clouds
 
Digital Transformation of the Enterprise. What IT leaders need to know!
Digital Transformation of the Enterprise. What IT  leaders need to know!Digital Transformation of the Enterprise. What IT  leaders need to know!
Digital Transformation of the Enterprise. What IT leaders need to know!
 

Kürzlich hochgeladen

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 

Kürzlich hochgeladen (20)

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 

Indic threads pune12-apache-crunch

  • 2. Agenda :  Issues with MapReduce pipelines  Solving with Apache Crunch  Data Model & Operations  System Workflow  Examples  Question & Answers 2
  • 3. Issues with MapReduce Pipelines Unit Testing pipeline ?? You must be joking !! Can someone tell me where is the business logic ?? Chain performance?? Learn Latin(pig) first!! 3
  • 4. Apache Crunch  Is a Java library  Contains Collections which can excute Parallel operations  Lazy evaluation of Collections at runtime  Operations merged at runtime to have efficient chains.  Available @ http://incubator.apache.org/crunch/  Based on Google FlumeJava paper 4
  • 5. Apache Crunch  Supports Hadoop version 1 and 2-alpha  Supports HBase, jdbc etc  Works with Writables, Avro, Thrift and proto-buffers  Scala varient also exists  Integration with R and Clojure in process  Archetype exists for creating sample maven project 5
  • 6. Apache Crunch : Data Model  Pipeline  MRPipeline  MemPipeline  PCollection<T>  PTable<K,V>  PGroupTable<K,V>  Source<T>  Target<T>  Emitter<T> 6  PType<K,V>
  • 7. Apache Crunch : Operations  DoFn<S,T>  CombineFn<S,T>  FilterFn<T>  Joins  Cartesian  Sort  SecondarySort  PObject<T>  BloomFilters 7
  • 8. Apache Crunch : System Workflow Construct a pipeline Pipeline.done() Map Map Map GBK GBK Reduce Reduce 8 Output
  • 9. Apache Crunch : Examples  WordCount example  Avro example  Sorting example  SecondarySort  Join Example  BloomFilters 9
  • 10. Write to me : rsharma@apache.org Example src : http://github.com/rahul0208 10 Blog : devlearnings.wordpress.com