SlideShare a Scribd company logo
2
Apache Thrift – What is it ?
●

A multi language software framework

●

For client / services development

●

It is scaleable

●

Uses a compiler to generate source code

●

Released with Apache 2 License

●

Uses an IDL ( interface descripton language )

●

Originally developed at Facebook

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Most read
3
Apache Thrift – Languages
Languages supported
–

C++

Cocoa

–

Java

JavaScript

–

Python

Node.js

–

PHP

Smalltalk

–

Ruby

OCaml

–

Erlang

Delphi

–

Perl

..... and others

–

Haskell

–

C#

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Most read
Apache Thrift
●

What is it ?

●

Languages

●

Process

●

Architecture

●

Example

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – What is it ?
●

A multi language software framework

●

For client / services development

●

It is scaleable

●

Uses a compiler to generate source code

●

Released with Apache 2 License

●

Uses an IDL ( interface descripton language )

●

Originally developed at Facebook

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Languages
Languages supported
–

C++

Cocoa

–

Java

JavaScript

–

Python

Node.js

–

PHP

Smalltalk

–

Ruby

OCaml

–

Erlang

Delphi

–

Perl

..... and others

–

Haskell

–

C#

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Process
So how do we start to create a Thrift based app ?
–

We define a Thrift file

–

Which includes our interface definition
● Defines our Thrift types
● Defines our services
Our clients will be able to call our services

–

We now use the Thrift compiler

–

thrift --gen <language> <Thrift file>
To generate our source code

–

Now we add our extra client / server functionality

●

●

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Service

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Where used ?
So who is using Thrift ?
–

Cassandra

–

Scribe

–

Hadoop – Hbase

–

ThriftDB

–

Others .........

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift
Architecture

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Example (Java)
Create Thrift interface file
# time.thrift
namespace java tserver.gen
typedef i64 Timestamp
service TimeServer {
Timestamp time()
}

Compile to Java code
thrift --gen java time.thrift

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Example
Create interface in TimeServerImpl.java
package server;
import org.apache.thrift.TException;
import tserver.gen.*;
class TimeServerImpl implements TimeServer.Iface {
@Override
public long time() throws TException {
long time = System.currentTimeMillis();
System.out.println("time() called: " + time);
return time;
}
}

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Example – Java Server
package server;
import java.io.IOException;
import org.apache.thrift.protocol.TBinaryProtocol;
import org.apache.thrift.protocol.TBinaryProtocol.Factory;
import org.apache.thrift.server.TServer;
import org.apache.thrift.server.TThreadPoolServer;
import org.apache.thrift.transport.TServerSocket;
import org.apache.thrift.transport.TTransportException;
import tserver.gen.TimeServer;
public class Server {
private void start(){
try {
TServerSocket serverTransport = new TServerSocket(7911);
TimeServer.Processor processor = new TimeServer.Processor(new TimeServerImpl());
Factory protFactory = new TBinaryProtocol.Factory(true, true);
TServer server = new TThreadPoolServer(processor, serverTransport, protFactory);
System.out.println("Starting server on port 7911 ...");
server.serve();
} catch (TTransportException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
public static void main(String args[]){
Server srv = new Server(); srv.start();
}
}

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Apache Thrift – Example – Java Client
package client;
import java.net.SocketException;
import org.apache.thrift.TException;
import org.apache.thrift.protocol.TBinaryProtocol;
import org.apache.thrift.protocol.TProtocol;
import org.apache.thrift.transport.TSocket;
import org.apache.thrift.transport.TTransport;
import org.apache.thrift.transport.TTransportException;
import tserver.gen.TimeServer.Client;
public class TimeClient {
private void start(){
TTransport transport;
try {
transport = new TSocket("localhost", 7911);
TProtocol protocol = new TBinaryProtocol(transport);Client client = new Client(protocol);
transport.open();
long time = client.time();
System.out.println("Time from server:" + time);
transport.close();
}
catch (SocketException e) { e.printStackTrace(); }
catch (TTransportException e) { e.printStackTrace();}
catch (TException e) { e.printStackTrace(); }
}
public static void main(String[] args) {
TimeClient c = new TimeClient();
c.start();
}
}

www.semtech-solutions.co.nz

info@semtech-solutions.co.nz
Contact Us
●

Feel free to contact us at
–

www.semtech-solutions.co.nz

–

info@semtech-solutions.co.nz

●

We offer IT project consultancy

●

We are happy to hear about your problems

●

You can just pay for those hours that you need

●

To solve your problems

More Related Content

What's hot (20)

Optimizing Delta/Parquet Data Lakes for Apache Spark
Optimizing Delta/Parquet Data Lakes for Apache SparkOptimizing Delta/Parquet Data Lakes for Apache Spark
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
 
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin HuaiA Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
Databricks
 
Cost-based Query Optimization in Apache Phoenix using Apache Calcite
Cost-based Query Optimization in Apache Phoenix using Apache CalciteCost-based Query Optimization in Apache Phoenix using Apache Calcite
Cost-based Query Optimization in Apache Phoenix using Apache Calcite
Julian Hyde
 
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital KediaTuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Databricks
 
Intro to Apache Spark
Intro to Apache SparkIntro to Apache Spark
Intro to Apache Spark
Robert Sanders
 
Downscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Downscaling: The Achilles heel of Autoscaling Apache Spark ClustersDownscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Downscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Databricks
 
Optimising Geospatial Queries with Dynamic File Pruning
Optimising Geospatial Queries with Dynamic File PruningOptimising Geospatial Queries with Dynamic File Pruning
Optimising Geospatial Queries with Dynamic File Pruning
Databricks
 
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Introduction to DataFusion  An Embeddable Query Engine Written in RustIntroduction to DataFusion  An Embeddable Query Engine Written in Rust
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Andrew Lamb
 
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen SinkRedis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Databricks
 
Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2
Databricks
 
Data Source API in Spark
Data Source API in SparkData Source API in Spark
Data Source API in Spark
Databricks
 
Apache Spark Core—Deep Dive—Proper Optimization
Apache Spark Core—Deep Dive—Proper OptimizationApache Spark Core—Deep Dive—Proper Optimization
Apache Spark Core—Deep Dive—Proper Optimization
Databricks
 
Time-Series Apache HBase
Time-Series Apache HBaseTime-Series Apache HBase
Time-Series Apache HBase
HBaseCon
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache Spark
Databricks
 
Grafana 7.0
Grafana 7.0Grafana 7.0
Grafana 7.0
Juraj Hantak
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Rafal Kwasny
 
ELK Elasticsearch Logstash and Kibana Stack for Log Management
ELK Elasticsearch Logstash and Kibana Stack for Log ManagementELK Elasticsearch Logstash and Kibana Stack for Log Management
ELK Elasticsearch Logstash and Kibana Stack for Log Management
El Mahdi Benzekri
 
Dive into PySpark
Dive into PySparkDive into PySpark
Dive into PySpark
Mateusz Buśkiewicz
 
Introduction of Java GC Tuning and Java Java Mission Control
Introduction of Java GC Tuning and Java Java Mission ControlIntroduction of Java GC Tuning and Java Java Mission Control
Introduction of Java GC Tuning and Java Java Mission Control
Leon Chen
 
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark Summit
 
Optimizing Delta/Parquet Data Lakes for Apache Spark
Optimizing Delta/Parquet Data Lakes for Apache SparkOptimizing Delta/Parquet Data Lakes for Apache Spark
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
 
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin HuaiA Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
A Deep Dive into Spark SQL's Catalyst Optimizer with Yin Huai
Databricks
 
Cost-based Query Optimization in Apache Phoenix using Apache Calcite
Cost-based Query Optimization in Apache Phoenix using Apache CalciteCost-based Query Optimization in Apache Phoenix using Apache Calcite
Cost-based Query Optimization in Apache Phoenix using Apache Calcite
Julian Hyde
 
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital KediaTuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Databricks
 
Downscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Downscaling: The Achilles heel of Autoscaling Apache Spark ClustersDownscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Downscaling: The Achilles heel of Autoscaling Apache Spark Clusters
Databricks
 
Optimising Geospatial Queries with Dynamic File Pruning
Optimising Geospatial Queries with Dynamic File PruningOptimising Geospatial Queries with Dynamic File Pruning
Optimising Geospatial Queries with Dynamic File Pruning
Databricks
 
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Introduction to DataFusion  An Embeddable Query Engine Written in RustIntroduction to DataFusion  An Embeddable Query Engine Written in Rust
Introduction to DataFusion An Embeddable Query Engine Written in Rust
Andrew Lamb
 
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen SinkRedis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink
Databricks
 
Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2Data Distribution and Ordering for Efficient Data Source V2
Data Distribution and Ordering for Efficient Data Source V2
Databricks
 
Data Source API in Spark
Data Source API in SparkData Source API in Spark
Data Source API in Spark
Databricks
 
Apache Spark Core—Deep Dive—Proper Optimization
Apache Spark Core—Deep Dive—Proper OptimizationApache Spark Core—Deep Dive—Proper Optimization
Apache Spark Core—Deep Dive—Proper Optimization
Databricks
 
Time-Series Apache HBase
Time-Series Apache HBaseTime-Series Apache HBase
Time-Series Apache HBase
HBaseCon
 
Memory Management in Apache Spark
Memory Management in Apache SparkMemory Management in Apache Spark
Memory Management in Apache Spark
Databricks
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Rafal Kwasny
 
ELK Elasticsearch Logstash and Kibana Stack for Log Management
ELK Elasticsearch Logstash and Kibana Stack for Log ManagementELK Elasticsearch Logstash and Kibana Stack for Log Management
ELK Elasticsearch Logstash and Kibana Stack for Log Management
El Mahdi Benzekri
 
Introduction of Java GC Tuning and Java Java Mission Control
Introduction of Java GC Tuning and Java Java Mission ControlIntroduction of Java GC Tuning and Java Java Mission Control
Introduction of Java GC Tuning and Java Java Mission Control
Leon Chen
 
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark + Parquet In Depth: Spark Summit East Talk by Emily Curtin and Robbie S...
Spark Summit
 

Viewers also liked (20)

Apache Thrift, a brief introduction
Apache Thrift, a brief introductionApache Thrift, a brief introduction
Apache Thrift, a brief introduction
Randy Abernethy
 
Introduction to Thrift
Introduction to ThriftIntroduction to Thrift
Introduction to Thrift
Dvir Volk
 
Apache thrift-RPC service cross languages
Apache thrift-RPC service cross languagesApache thrift-RPC service cross languages
Apache thrift-RPC service cross languages
Jimmy Lai
 
Apache Thrift : One Stop Solution for Cross Language Communication
Apache Thrift : One Stop Solution for Cross Language CommunicationApache Thrift : One Stop Solution for Cross Language Communication
Apache Thrift : One Stop Solution for Cross Language Communication
Piyush Goel
 
Facebook thrift
Facebook thriftFacebook thrift
Facebook thrift
Bhuvana Laksminarayanan
 
RESTLess Design with Apache Thrift: Experiences from Apache Airavata
RESTLess Design with Apache Thrift: Experiences from Apache AiravataRESTLess Design with Apache Thrift: Experiences from Apache Airavata
RESTLess Design with Apache Thrift: Experiences from Apache Airavata
smarru
 
Apache Thrift
Apache ThriftApache Thrift
Apache Thrift
knight1128
 
Mongo DB로 진행하는 CRUD
Mongo DB로 진행하는 CRUDMongo DB로 진행하는 CRUD
Mongo DB로 진행하는 CRUD
Jin wook
 
Illustration of TextSecure's Protocol Buffer usage
Illustration of TextSecure's Protocol Buffer usageIllustration of TextSecure's Protocol Buffer usage
Illustration of TextSecure's Protocol Buffer usage
Christine Corbett Moran
 
Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库
Accenture
 
HBase Advanced Schema Design - Berlin Buzzwords - June 2012
HBase Advanced Schema Design - Berlin Buzzwords - June 2012HBase Advanced Schema Design - Berlin Buzzwords - June 2012
HBase Advanced Schema Design - Berlin Buzzwords - June 2012
larsgeorge
 
Hive User Meeting March 2010 - Hive Team
Hive User Meeting March 2010 - Hive TeamHive User Meeting March 2010 - Hive Team
Hive User Meeting March 2010 - Hive Team
Zheng Shao
 
Hive Object Model
Hive Object ModelHive Object Model
Hive Object Model
Zheng Shao
 
아파치 쓰리프트 (Apache Thrift)
아파치 쓰리프트 (Apache Thrift) 아파치 쓰리프트 (Apache Thrift)
아파치 쓰리프트 (Apache Thrift)
Jin wook
 
Facebook architecture
Facebook architectureFacebook architecture
Facebook architecture
mysqlops
 
OVERVIEW OF FACEBOOK SCALABLE ARCHITECTURE.
OVERVIEW  OF FACEBOOK SCALABLE ARCHITECTURE.OVERVIEW  OF FACEBOOK SCALABLE ARCHITECTURE.
OVERVIEW OF FACEBOOK SCALABLE ARCHITECTURE.
Rishikese MR
 
Facebook architecture presentation: scalability challenge
Facebook architecture presentation: scalability challengeFacebook architecture presentation: scalability challenge
Facebook architecture presentation: scalability challenge
Cristina Munoz
 
Apache ppt
Apache pptApache ppt
Apache ppt
poornima sugumaran
 
Facebook Architecture - Breaking it Open
Facebook Architecture - Breaking it OpenFacebook Architecture - Breaking it Open
Facebook Architecture - Breaking it Open
HARMAN Services
 
Spark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting GuideSpark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting Guide
IBM
 
Apache Thrift, a brief introduction
Apache Thrift, a brief introductionApache Thrift, a brief introduction
Apache Thrift, a brief introduction
Randy Abernethy
 
Introduction to Thrift
Introduction to ThriftIntroduction to Thrift
Introduction to Thrift
Dvir Volk
 
Apache thrift-RPC service cross languages
Apache thrift-RPC service cross languagesApache thrift-RPC service cross languages
Apache thrift-RPC service cross languages
Jimmy Lai
 
Apache Thrift : One Stop Solution for Cross Language Communication
Apache Thrift : One Stop Solution for Cross Language CommunicationApache Thrift : One Stop Solution for Cross Language Communication
Apache Thrift : One Stop Solution for Cross Language Communication
Piyush Goel
 
RESTLess Design with Apache Thrift: Experiences from Apache Airavata
RESTLess Design with Apache Thrift: Experiences from Apache AiravataRESTLess Design with Apache Thrift: Experiences from Apache Airavata
RESTLess Design with Apache Thrift: Experiences from Apache Airavata
smarru
 
Mongo DB로 진행하는 CRUD
Mongo DB로 진행하는 CRUDMongo DB로 진행하는 CRUD
Mongo DB로 진행하는 CRUD
Jin wook
 
Illustration of TextSecure's Protocol Buffer usage
Illustration of TextSecure's Protocol Buffer usageIllustration of TextSecure's Protocol Buffer usage
Illustration of TextSecure's Protocol Buffer usage
Christine Corbett Moran
 
Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库Acceleration for big data, hadoop and memcached it168文库
Acceleration for big data, hadoop and memcached it168文库
Accenture
 
HBase Advanced Schema Design - Berlin Buzzwords - June 2012
HBase Advanced Schema Design - Berlin Buzzwords - June 2012HBase Advanced Schema Design - Berlin Buzzwords - June 2012
HBase Advanced Schema Design - Berlin Buzzwords - June 2012
larsgeorge
 
Hive User Meeting March 2010 - Hive Team
Hive User Meeting March 2010 - Hive TeamHive User Meeting March 2010 - Hive Team
Hive User Meeting March 2010 - Hive Team
Zheng Shao
 
Hive Object Model
Hive Object ModelHive Object Model
Hive Object Model
Zheng Shao
 
아파치 쓰리프트 (Apache Thrift)
아파치 쓰리프트 (Apache Thrift) 아파치 쓰리프트 (Apache Thrift)
아파치 쓰리프트 (Apache Thrift)
Jin wook
 
Facebook architecture
Facebook architectureFacebook architecture
Facebook architecture
mysqlops
 
OVERVIEW OF FACEBOOK SCALABLE ARCHITECTURE.
OVERVIEW  OF FACEBOOK SCALABLE ARCHITECTURE.OVERVIEW  OF FACEBOOK SCALABLE ARCHITECTURE.
OVERVIEW OF FACEBOOK SCALABLE ARCHITECTURE.
Rishikese MR
 
Facebook architecture presentation: scalability challenge
Facebook architecture presentation: scalability challengeFacebook architecture presentation: scalability challenge
Facebook architecture presentation: scalability challenge
Cristina Munoz
 
Facebook Architecture - Breaking it Open
Facebook Architecture - Breaking it OpenFacebook Architecture - Breaking it Open
Facebook Architecture - Breaking it Open
HARMAN Services
 
Spark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting GuideSpark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting Guide
IBM
 
Ad

Similar to An introduction to Apache Thrift (20)

[Intuit] Control Everything
[Intuit] Control Everything[Intuit] Control Everything
[Intuit] Control Everything
Perforce
 
Performance and Scalability Testing with Python and Multi-Mechanize
Performance and Scalability Testing with Python and Multi-MechanizePerformance and Scalability Testing with Python and Multi-Mechanize
Performance and Scalability Testing with Python and Multi-Mechanize
coreygoldberg
 
How to automate all your SEO projects
How to automate all your SEO projectsHow to automate all your SEO projects
How to automate all your SEO projects
Vincent Terrasi
 
Infrastructure & System Monitoring using Prometheus
Infrastructure & System Monitoring using PrometheusInfrastructure & System Monitoring using Prometheus
Infrastructure & System Monitoring using Prometheus
Marco Pas
 
introduction to node.js
introduction to node.jsintroduction to node.js
introduction to node.js
orkaplan
 
Binary Studio Academy: Concurrency in C# 5.0
Binary Studio Academy: Concurrency in C# 5.0Binary Studio Academy: Concurrency in C# 5.0
Binary Studio Academy: Concurrency in C# 5.0
Binary Studio
 
RichFaces - Testing on Mobile Devices
RichFaces - Testing on Mobile DevicesRichFaces - Testing on Mobile Devices
RichFaces - Testing on Mobile Devices
Pavol Pitoňák
 
Async programming and python
Async programming and pythonAsync programming and python
Async programming and python
Chetan Giridhar
 
Reusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modulesReusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modules
Yevgeniy Brikman
 
How to contribute Apache CloudStack
How to contribute Apache CloudStackHow to contribute Apache CloudStack
How to contribute Apache CloudStack
Go Chiba
 
.NET @ apache.org
 .NET @ apache.org .NET @ apache.org
.NET @ apache.org
Ted Husted
 
Tornado Web Server Internals
Tornado Web Server InternalsTornado Web Server Internals
Tornado Web Server Internals
Praveen Gollakota
 
Everything you wanted to know about writing async, concurrent http apps in java
Everything you wanted to know about writing async, concurrent http apps in java Everything you wanted to know about writing async, concurrent http apps in java
Everything you wanted to know about writing async, concurrent http apps in java
Baruch Sadogursky
 
Python, do you even async?
Python, do you even async?Python, do you even async?
Python, do you even async?
Saúl Ibarra Corretgé
 
Hack Like It's 2013 (The Workshop)
Hack Like It's 2013 (The Workshop)Hack Like It's 2013 (The Workshop)
Hack Like It's 2013 (The Workshop)
Itzik Kotler
 
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward
 
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
Thomas Weise
 
Faster PHP apps using Queues and Workers
Faster PHP apps using Queues and WorkersFaster PHP apps using Queues and Workers
Faster PHP apps using Queues and Workers
Richard Baker
 
MobileConf 2021 Slides: Let's build macOS CLI Utilities using Swift
MobileConf 2021 Slides:  Let's build macOS CLI Utilities using SwiftMobileConf 2021 Slides:  Let's build macOS CLI Utilities using Swift
MobileConf 2021 Slides: Let's build macOS CLI Utilities using Swift
Diego Freniche Brito
 
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Timothy Spann
 
[Intuit] Control Everything
[Intuit] Control Everything[Intuit] Control Everything
[Intuit] Control Everything
Perforce
 
Performance and Scalability Testing with Python and Multi-Mechanize
Performance and Scalability Testing with Python and Multi-MechanizePerformance and Scalability Testing with Python and Multi-Mechanize
Performance and Scalability Testing with Python and Multi-Mechanize
coreygoldberg
 
How to automate all your SEO projects
How to automate all your SEO projectsHow to automate all your SEO projects
How to automate all your SEO projects
Vincent Terrasi
 
Infrastructure & System Monitoring using Prometheus
Infrastructure & System Monitoring using PrometheusInfrastructure & System Monitoring using Prometheus
Infrastructure & System Monitoring using Prometheus
Marco Pas
 
introduction to node.js
introduction to node.jsintroduction to node.js
introduction to node.js
orkaplan
 
Binary Studio Academy: Concurrency in C# 5.0
Binary Studio Academy: Concurrency in C# 5.0Binary Studio Academy: Concurrency in C# 5.0
Binary Studio Academy: Concurrency in C# 5.0
Binary Studio
 
RichFaces - Testing on Mobile Devices
RichFaces - Testing on Mobile DevicesRichFaces - Testing on Mobile Devices
RichFaces - Testing on Mobile Devices
Pavol Pitoňák
 
Async programming and python
Async programming and pythonAsync programming and python
Async programming and python
Chetan Giridhar
 
Reusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modulesReusable, composable, battle-tested Terraform modules
Reusable, composable, battle-tested Terraform modules
Yevgeniy Brikman
 
How to contribute Apache CloudStack
How to contribute Apache CloudStackHow to contribute Apache CloudStack
How to contribute Apache CloudStack
Go Chiba
 
.NET @ apache.org
 .NET @ apache.org .NET @ apache.org
.NET @ apache.org
Ted Husted
 
Tornado Web Server Internals
Tornado Web Server InternalsTornado Web Server Internals
Tornado Web Server Internals
Praveen Gollakota
 
Everything you wanted to know about writing async, concurrent http apps in java
Everything you wanted to know about writing async, concurrent http apps in java Everything you wanted to know about writing async, concurrent http apps in java
Everything you wanted to know about writing async, concurrent http apps in java
Baruch Sadogursky
 
Hack Like It's 2013 (The Workshop)
Hack Like It's 2013 (The Workshop)Hack Like It's 2013 (The Workshop)
Hack Like It's 2013 (The Workshop)
Itzik Kotler
 
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward Berlin 2017: Maciek Próchniak - TouK Nussknacker - creating Fli...
Flink Forward
 
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
Thomas Weise
 
Faster PHP apps using Queues and Workers
Faster PHP apps using Queues and WorkersFaster PHP apps using Queues and Workers
Faster PHP apps using Queues and Workers
Richard Baker
 
MobileConf 2021 Slides: Let's build macOS CLI Utilities using Swift
MobileConf 2021 Slides:  Let's build macOS CLI Utilities using SwiftMobileConf 2021 Slides:  Let's build macOS CLI Utilities using Swift
MobileConf 2021 Slides: Let's build macOS CLI Utilities using Swift
Diego Freniche Brito
 
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Timothy Spann
 
Ad

More from Mike Frampton (20)

Apache Airavata
Apache AiravataApache Airavata
Apache Airavata
Mike Frampton
 
Apache MADlib AI/ML
Apache MADlib AI/MLApache MADlib AI/ML
Apache MADlib AI/ML
Mike Frampton
 
Apache MXNet AI
Apache MXNet AIApache MXNet AI
Apache MXNet AI
Mike Frampton
 
Apache Gobblin
Apache GobblinApache Gobblin
Apache Gobblin
Mike Frampton
 
Apache Singa AI
Apache Singa AIApache Singa AI
Apache Singa AI
Mike Frampton
 
Apache Ranger
Apache RangerApache Ranger
Apache Ranger
Mike Frampton
 
OrientDB
OrientDBOrientDB
OrientDB
Mike Frampton
 
Prometheus
PrometheusPrometheus
Prometheus
Mike Frampton
 
Apache Tephra
Apache TephraApache Tephra
Apache Tephra
Mike Frampton
 
Apache Kudu
Apache KuduApache Kudu
Apache Kudu
Mike Frampton
 
Apache Bahir
Apache BahirApache Bahir
Apache Bahir
Mike Frampton
 
Apache Arrow
Apache ArrowApache Arrow
Apache Arrow
Mike Frampton
 
JanusGraph DB
JanusGraph DBJanusGraph DB
JanusGraph DB
Mike Frampton
 
Apache Ignite
Apache IgniteApache Ignite
Apache Ignite
Mike Frampton
 
Apache Samza
Apache SamzaApache Samza
Apache Samza
Mike Frampton
 
Apache Flink
Apache FlinkApache Flink
Apache Flink
Mike Frampton
 
Apache Edgent
Apache EdgentApache Edgent
Apache Edgent
Mike Frampton
 
Apache CouchDB
Apache CouchDBApache CouchDB
Apache CouchDB
Mike Frampton
 
An introduction to Apache Mesos
An introduction to Apache MesosAn introduction to Apache Mesos
An introduction to Apache Mesos
Mike Frampton
 
An introduction to Pentaho
An introduction to PentahoAn introduction to Pentaho
An introduction to Pentaho
Mike Frampton
 

Recently uploaded (20)

New Ways to Reduce Database Costs with ScyllaDB
New Ways to Reduce Database Costs with ScyllaDBNew Ways to Reduce Database Costs with ScyllaDB
New Ways to Reduce Database Costs with ScyllaDB
ScyllaDB
 
UiPath Community Zurich: Release Management and Build Pipelines
UiPath Community Zurich: Release Management and Build PipelinesUiPath Community Zurich: Release Management and Build Pipelines
UiPath Community Zurich: Release Management and Build Pipelines
UiPathCommunity
 
Let’s Get Slack Certified! 🚀- Slack Community
Let’s Get Slack Certified! 🚀- Slack CommunityLet’s Get Slack Certified! 🚀- Slack Community
Let’s Get Slack Certified! 🚀- Slack Community
SanjeetMishra29
 
Maxx nft market place new generation nft marketing place
Maxx nft market place new generation nft marketing placeMaxx nft market place new generation nft marketing place
Maxx nft market place new generation nft marketing place
usersalmanrazdelhi
 
Data Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any ApplicationData Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any Application
Safe Software
 
Jeremy Millul - A Talented Software Developer
Jeremy Millul - A Talented Software DeveloperJeremy Millul - A Talented Software Developer
Jeremy Millul - A Talented Software Developer
Jeremy Millul
 
Cyber security cyber security cyber security cyber security cyber security cy...
Cyber security cyber security cyber security cyber security cyber security cy...Cyber security cyber security cyber security cyber security cyber security cy...
Cyber security cyber security cyber security cyber security cyber security cy...
pranavbodhak
 
Evaluation Challenges in Using Generative AI for Science & Technical Content
Evaluation Challenges in Using Generative AI for Science & Technical ContentEvaluation Challenges in Using Generative AI for Science & Technical Content
Evaluation Challenges in Using Generative AI for Science & Technical Content
Paul Groth
 
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Peter Bittner
 
6th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 20256th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 2025
DanBrown980551
 
Palo Alto Networks Cybersecurity Foundation
Palo Alto Networks Cybersecurity FoundationPalo Alto Networks Cybersecurity Foundation
Palo Alto Networks Cybersecurity Foundation
VICTOR MAESTRE RAMIREZ
 
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AI Emotional Actors:  “When Machines Learn to Feel and Perform"AI Emotional Actors:  “When Machines Learn to Feel and Perform"
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AkashKumar809858
 
European Accessibility Act & Integrated Accessibility Testing
European Accessibility Act & Integrated Accessibility TestingEuropean Accessibility Act & Integrated Accessibility Testing
European Accessibility Act & Integrated Accessibility Testing
Julia Undeutsch
 
Co-Constructing Explanations for AI Systems using Provenance
Co-Constructing Explanations for AI Systems using ProvenanceCo-Constructing Explanations for AI Systems using Provenance
Co-Constructing Explanations for AI Systems using Provenance
Paul Groth
 
Kubernetes Cloud Native Indonesia Meetup - May 2025
Kubernetes Cloud Native Indonesia Meetup - May 2025Kubernetes Cloud Native Indonesia Meetup - May 2025
Kubernetes Cloud Native Indonesia Meetup - May 2025
Prasta Maha
 
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
Jasper Oosterveld
 
Gihbli AI and Geo sitution |use/misuse of Ai Technology
Gihbli AI and Geo sitution |use/misuse of Ai TechnologyGihbli AI and Geo sitution |use/misuse of Ai Technology
Gihbli AI and Geo sitution |use/misuse of Ai Technology
zainkhurram1111
 
Droidal: AI Agents Revolutionizing Healthcare
Droidal: AI Agents Revolutionizing HealthcareDroidal: AI Agents Revolutionizing Healthcare
Droidal: AI Agents Revolutionizing Healthcare
Droidal LLC
 
Contributing to WordPress With & Without Code.pptx
Contributing to WordPress With & Without Code.pptxContributing to WordPress With & Without Code.pptx
Contributing to WordPress With & Without Code.pptx
Patrick Lumumba
 
Supercharge Your AI Development with Local LLMs
Supercharge Your AI Development with Local LLMsSupercharge Your AI Development with Local LLMs
Supercharge Your AI Development with Local LLMs
Francesco Corti
 
New Ways to Reduce Database Costs with ScyllaDB
New Ways to Reduce Database Costs with ScyllaDBNew Ways to Reduce Database Costs with ScyllaDB
New Ways to Reduce Database Costs with ScyllaDB
ScyllaDB
 
UiPath Community Zurich: Release Management and Build Pipelines
UiPath Community Zurich: Release Management and Build PipelinesUiPath Community Zurich: Release Management and Build Pipelines
UiPath Community Zurich: Release Management and Build Pipelines
UiPathCommunity
 
Let’s Get Slack Certified! 🚀- Slack Community
Let’s Get Slack Certified! 🚀- Slack CommunityLet’s Get Slack Certified! 🚀- Slack Community
Let’s Get Slack Certified! 🚀- Slack Community
SanjeetMishra29
 
Maxx nft market place new generation nft marketing place
Maxx nft market place new generation nft marketing placeMaxx nft market place new generation nft marketing place
Maxx nft market place new generation nft marketing place
usersalmanrazdelhi
 
Data Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any ApplicationData Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any Application
Safe Software
 
Jeremy Millul - A Talented Software Developer
Jeremy Millul - A Talented Software DeveloperJeremy Millul - A Talented Software Developer
Jeremy Millul - A Talented Software Developer
Jeremy Millul
 
Cyber security cyber security cyber security cyber security cyber security cy...
Cyber security cyber security cyber security cyber security cyber security cy...Cyber security cyber security cyber security cyber security cyber security cy...
Cyber security cyber security cyber security cyber security cyber security cy...
pranavbodhak
 
Evaluation Challenges in Using Generative AI for Science & Technical Content
Evaluation Challenges in Using Generative AI for Science & Technical ContentEvaluation Challenges in Using Generative AI for Science & Technical Content
Evaluation Challenges in Using Generative AI for Science & Technical Content
Paul Groth
 
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)
Peter Bittner
 
6th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 20256th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 2025
DanBrown980551
 
Palo Alto Networks Cybersecurity Foundation
Palo Alto Networks Cybersecurity FoundationPalo Alto Networks Cybersecurity Foundation
Palo Alto Networks Cybersecurity Foundation
VICTOR MAESTRE RAMIREZ
 
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AI Emotional Actors:  “When Machines Learn to Feel and Perform"AI Emotional Actors:  “When Machines Learn to Feel and Perform"
AI Emotional Actors: “When Machines Learn to Feel and Perform"
AkashKumar809858
 
European Accessibility Act & Integrated Accessibility Testing
European Accessibility Act & Integrated Accessibility TestingEuropean Accessibility Act & Integrated Accessibility Testing
European Accessibility Act & Integrated Accessibility Testing
Julia Undeutsch
 
Co-Constructing Explanations for AI Systems using Provenance
Co-Constructing Explanations for AI Systems using ProvenanceCo-Constructing Explanations for AI Systems using Provenance
Co-Constructing Explanations for AI Systems using Provenance
Paul Groth
 
Kubernetes Cloud Native Indonesia Meetup - May 2025
Kubernetes Cloud Native Indonesia Meetup - May 2025Kubernetes Cloud Native Indonesia Meetup - May 2025
Kubernetes Cloud Native Indonesia Meetup - May 2025
Prasta Maha
 
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....
Jasper Oosterveld
 
Gihbli AI and Geo sitution |use/misuse of Ai Technology
Gihbli AI and Geo sitution |use/misuse of Ai TechnologyGihbli AI and Geo sitution |use/misuse of Ai Technology
Gihbli AI and Geo sitution |use/misuse of Ai Technology
zainkhurram1111
 
Droidal: AI Agents Revolutionizing Healthcare
Droidal: AI Agents Revolutionizing HealthcareDroidal: AI Agents Revolutionizing Healthcare
Droidal: AI Agents Revolutionizing Healthcare
Droidal LLC
 
Contributing to WordPress With & Without Code.pptx
Contributing to WordPress With & Without Code.pptxContributing to WordPress With & Without Code.pptx
Contributing to WordPress With & Without Code.pptx
Patrick Lumumba
 
Supercharge Your AI Development with Local LLMs
Supercharge Your AI Development with Local LLMsSupercharge Your AI Development with Local LLMs
Supercharge Your AI Development with Local LLMs
Francesco Corti
 

An introduction to Apache Thrift

  • 1. Apache Thrift ● What is it ? ● Languages ● Process ● Architecture ● Example www.semtech-solutions.co.nz [email protected]
  • 2. Apache Thrift – What is it ? ● A multi language software framework ● For client / services development ● It is scaleable ● Uses a compiler to generate source code ● Released with Apache 2 License ● Uses an IDL ( interface descripton language ) ● Originally developed at Facebook www.semtech-solutions.co.nz [email protected]
  • 3. Apache Thrift – Languages Languages supported – C++ Cocoa – Java JavaScript – Python Node.js – PHP Smalltalk – Ruby OCaml – Erlang Delphi – Perl ..... and others – Haskell – C# www.semtech-solutions.co.nz [email protected]
  • 4. Apache Thrift – Process So how do we start to create a Thrift based app ? – We define a Thrift file – Which includes our interface definition ● Defines our Thrift types ● Defines our services Our clients will be able to call our services – We now use the Thrift compiler – thrift --gen <language> <Thrift file> To generate our source code – Now we add our extra client / server functionality ● ● www.semtech-solutions.co.nz [email protected]
  • 5. Apache Thrift – Service www.semtech-solutions.co.nz [email protected]
  • 6. Apache Thrift – Where used ? So who is using Thrift ? – Cassandra – Scribe – Hadoop – Hbase – ThriftDB – Others ......... www.semtech-solutions.co.nz [email protected]
  • 8. Apache Thrift – Example (Java) Create Thrift interface file # time.thrift namespace java tserver.gen typedef i64 Timestamp service TimeServer { Timestamp time() } Compile to Java code thrift --gen java time.thrift www.semtech-solutions.co.nz [email protected]
  • 9. Apache Thrift – Example Create interface in TimeServerImpl.java package server; import org.apache.thrift.TException; import tserver.gen.*; class TimeServerImpl implements TimeServer.Iface { @Override public long time() throws TException { long time = System.currentTimeMillis(); System.out.println("time() called: " + time); return time; } } www.semtech-solutions.co.nz [email protected]
  • 10. Apache Thrift – Example – Java Server package server; import java.io.IOException; import org.apache.thrift.protocol.TBinaryProtocol; import org.apache.thrift.protocol.TBinaryProtocol.Factory; import org.apache.thrift.server.TServer; import org.apache.thrift.server.TThreadPoolServer; import org.apache.thrift.transport.TServerSocket; import org.apache.thrift.transport.TTransportException; import tserver.gen.TimeServer; public class Server { private void start(){ try { TServerSocket serverTransport = new TServerSocket(7911); TimeServer.Processor processor = new TimeServer.Processor(new TimeServerImpl()); Factory protFactory = new TBinaryProtocol.Factory(true, true); TServer server = new TThreadPoolServer(processor, serverTransport, protFactory); System.out.println("Starting server on port 7911 ..."); server.serve(); } catch (TTransportException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } } public static void main(String args[]){ Server srv = new Server(); srv.start(); } } www.semtech-solutions.co.nz [email protected]
  • 11. Apache Thrift – Example – Java Client package client; import java.net.SocketException; import org.apache.thrift.TException; import org.apache.thrift.protocol.TBinaryProtocol; import org.apache.thrift.protocol.TProtocol; import org.apache.thrift.transport.TSocket; import org.apache.thrift.transport.TTransport; import org.apache.thrift.transport.TTransportException; import tserver.gen.TimeServer.Client; public class TimeClient { private void start(){ TTransport transport; try { transport = new TSocket("localhost", 7911); TProtocol protocol = new TBinaryProtocol(transport);Client client = new Client(protocol); transport.open(); long time = client.time(); System.out.println("Time from server:" + time); transport.close(); } catch (SocketException e) { e.printStackTrace(); } catch (TTransportException e) { e.printStackTrace();} catch (TException e) { e.printStackTrace(); } } public static void main(String[] args) { TimeClient c = new TimeClient(); c.start(); } } www.semtech-solutions.co.nz [email protected]
  • 12. Contact Us ● Feel free to contact us at – www.semtech-solutions.co.nz – [email protected] ● We offer IT project consultancy ● We are happy to hear about your problems ● You can just pay for those hours that you need ● To solve your problems