This document provides an outline and overview of new features in Java 8. It discusses behavior parameterization through lambda expressions and method references, which allow passing behaviors as arguments in place of anonymous classes. It also covers the Stream API for functional-style processing of collections, Optional as an alternative to null, default methods to allow interfaces to evolve, and CompletableFuture for composable asynchronous programming. Finally, it notes some potential downsides of Java 8 like longer debugging with lambdas and limitations of its functional support.
JavaScript for ABAP Programmers - 3/7 SyntaxChris Whealy
This document provides an overview of JavaScript syntax for ABAP programmers. It discusses key differences between ABAP and JavaScript such as JavaScript being weakly typed with lexical scope versus ABAP's strong typing and block scope. The document then covers JavaScript syntax elements including keywords, code blocks, flow control structures like if/else and switch/case, iteration with while, for, and for/in loops, optional statement terminators, comments, and unary and binary operators.
SBML L3 Packages - brief overview and current statusSarah Keating
The document describes the status of various SBML Level 3 packages. It provides information on packages that are released, in development, stalled, or in discussion. It summarizes the purpose and features of several packages including hierarchical model composition (comp), flux balance constraints (fbc), qualitative models (qual), layout, and others. Diagrams and code snippets are included to illustrate key aspects of different packages.
This document discusses PHP traits and their use and advantages. It begins by showing PHP's large market share for web programming compared to other languages. It then demonstrates how traits allow eliminating duplicated code by defining common functionality in traits that can be used by multiple classes. The document provides an example of using a "Options" trait to DRY up option handling code across multiple classes. It discusses trait precedence and how to selectively override trait methods using "insteadof". The document explains how traits solve problems caused by multiple inheritance through their precedence rules.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
With PHP5.3.3 recently released I really feel it is time that php developers are taking namespaces seriously. If you don’t I guarantee you will be out of a job within five years. Namespaces are a fundamental part of the future of PHP. The talk explains the usage on importing third party libraries, using it in your own code and aliasing. The full works.
JavaScript for ABAP Programmers - 2/7 Data TypesChris Whealy
The document discusses data types in JavaScript compared to ABAP. It notes that JavaScript uses weak/dynamic typing where a variable's type is determined by its value, while ABAP uses strong/static typing where types are defined at declaration. It also covers the six main data types in JavaScript - Null, Undefined, Boolean, String, Number, and Object. Composite types like Array, Date, and Function are considered object types. The document provides examples of declaring and assigning values of different types to variables in JavaScript.
JavaScript for ABAP Programmers - 3/7 SyntaxChris Whealy
This document provides an overview of JavaScript syntax for ABAP programmers. It discusses key differences between ABAP and JavaScript such as JavaScript being weakly typed with lexical scope versus ABAP's strong typing and block scope. The document then covers JavaScript syntax elements including keywords, code blocks, flow control structures like if/else and switch/case, iteration with while, for, and for/in loops, optional statement terminators, comments, and unary and binary operators.
SBML L3 Packages - brief overview and current statusSarah Keating
The document describes the status of various SBML Level 3 packages. It provides information on packages that are released, in development, stalled, or in discussion. It summarizes the purpose and features of several packages including hierarchical model composition (comp), flux balance constraints (fbc), qualitative models (qual), layout, and others. Diagrams and code snippets are included to illustrate key aspects of different packages.
This document discusses PHP traits and their use and advantages. It begins by showing PHP's large market share for web programming compared to other languages. It then demonstrates how traits allow eliminating duplicated code by defining common functionality in traits that can be used by multiple classes. The document provides an example of using a "Options" trait to DRY up option handling code across multiple classes. It discusses trait precedence and how to selectively override trait methods using "insteadof". The document explains how traits solve problems caused by multiple inheritance through their precedence rules.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
With PHP5.3.3 recently released I really feel it is time that php developers are taking namespaces seriously. If you don’t I guarantee you will be out of a job within five years. Namespaces are a fundamental part of the future of PHP. The talk explains the usage on importing third party libraries, using it in your own code and aliasing. The full works.
JavaScript for ABAP Programmers - 2/7 Data TypesChris Whealy
The document discusses data types in JavaScript compared to ABAP. It notes that JavaScript uses weak/dynamic typing where a variable's type is determined by its value, while ABAP uses strong/static typing where types are defined at declaration. It also covers the six main data types in JavaScript - Null, Undefined, Boolean, String, Number, and Object. Composite types like Array, Date, and Function are considered object types. The document provides examples of declaring and assigning values of different types to variables in JavaScript.
Apache Camel: The Swiss Army Knife of Open Source Integrationprajods
The Camel project from Apache(camel.apache.org), is a very popular, light weight, open source integration framework.
This presentation shows some interesting features of Camel and the unique advantages that Camel brings to your integration projects. Some business
use cases are shown to explain how Camel makes open source integration a cakewalk.
Table of contents:
1. An overview of Apache Camel
2. Integration architecture explained
3. Using Camel in different integration architectures
3.a. In the Securities domain
3.b. In the Travel domain
4. High Availability and Load Balancing with Camel
JavaScript for ABAP Programmers - 7/7 Functional ProgrammingChris Whealy
The document discusses the differences between imperative and functional programming styles. Imperative programming focuses on explicitly defining the timeline of when statements are executed to modify the computer's state. It uses keywords like if, while, and for to control instruction flow. Functional programming avoids side effects by defining computations as relationships between functions, without modifying shared state. It uses recursion instead of loops and delegates instruction flow control to the runtime. The document provides a simple example of calculating Fibonacci numbers in both imperative and functional styles to illustrate these differences.
Distributed Ruby and Rails
This document discusses distributed Ruby programming and using message queues with Ruby on Rails applications. It introduces several distributed Ruby technologies including DRb for remote method invocation, Rinda for distributed tuple spaces, Starfish for map-reduce programming, and the MagLev VM. It also covers various message queue systems like Starling, RabbitMQ, ActiveMQ, and beanstalkd that can be used to build scalable and reliable distributed Ruby applications.
The document discusses switch/case statements in various programming languages. It provides examples of switch/case syntax in C#, Visual Basic .NET, Haskell, Pascal, Perl and other languages. Some key points made are:
- Switch/case allows variable value to control program flow via multiway branch. It improves clarity over repetitive if/else statements.
- Languages differ in whether they allow fall-through between cases or require break. Haskell has no fall-through while C# requires all case blocks to end or trigger errors.
- Syntax also varies, with some languages allowing ranges, comma separated lists, non-integer values, and different keywords like "case", "switch" or "given".
Ruby on Rails version 2.1 was released on June 1st, 2008. It included several new features such as timezones, dirty tracking, gem dependencies, named scopes, UTC-based migrations, and better caching. ActiveRecord changes included support for expressions in sum calculations, eager loading of associations, polymorphic URLs, and the ability to add and remove timestamps from tables.
- Java 8 introduced a new date and time API in the java.time package that is immutable, thread-safe, and supports multiple calendar systems.
- The API separates the concepts of date, time, and timestamps (LocalDate, LocalTime, LocalDateTime) from calendar systems and timezones (ZonedDateTime).
- The API provides methods to query, manipulate, and convert between date/time objects using static factories, instance methods, and temporal adjusters.
Java8 introduced several new features including lambda expressions, default methods, and streams. It also included a new date/time API and the Optional class to avoid null pointer exceptions. The document provides examples of using the new Optional class and date/time API in Java8, which was released in March 2014. It also outlines the history of Java versions leading up to Java8 and previews some future versions like Java9.
In Java 8, the java.util.function has numerous built-in interfaces. Other packages in the Java library (notably java.util.stream package) make use of the interfaces defined in this package. Java 8 developers should be familiar with using key interfaces provided in this package. This presentation provides an overview of four key functional interfaces (Consumer, Supplier, Function, and Predicate) provided in this package.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This presentation provides an overview of using the Java SE 8 Date & Time API. It covers how to:
1. Create and manage date-based and time-based events including a combination of date and time into a single object using LocalDate, LocalTime, LocalDateTime, Instant, Period, and Duration
2. Work with dates and times across timezones and manage changes resulting from daylight savings including format date and times values
3. Define and create and manage date-based and time-based events using Instant, Period, Duration, and TemporalUnit
This document provides a brief overview of Java 8 features including functional interfaces, lambda expressions, stream API, and Optional class. It discusses how functional interfaces provide target types for lambda expressions and can have a single abstract method. Lambda expressions allow implementing functional interfaces concisely without anonymous classes. The stream API provides a powerful way to process collections in a declarative way using lambda expressions. The Optional class avoids null pointer exceptions and allows chaining of method calls on objects that may be null.
The document discusses Java 8 features like lambda expressions, streams, and method references. It provides examples of filtering a list of books by pages or genre using lambda expressions and streams. Lambda expressions allow implementing functional interfaces concisely without anonymous classes. Streams provide a way to process data elements sequentially and support operations like filtering, mapping, matching, reducing, and collecting results.
Java 8 is coming soon. In this presentation I have outlined the major Java 8 features. You get information about interface improvements, functional interfaces, method references, lambdas, java.util.function, java.util.stream
The document discusses Java streams and I/O. It defines streams as abstract representations of input/output devices that are sources or destinations of data. It describes byte and character streams, the core stream classes in java.io, predefined System streams, common stream subclasses, reading/writing files and binary data with byte streams, and reading/writing characters with character streams. It also covers object serialization/deserialization and compressing files with GZIP.
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
Code is available at https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
Code is available at https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This document discusses various programming paradigms and concurrency concepts in Java. It covers single and multi-process programming, multi-threading, processes, threads, synchronization, deadlocks, and strategies for designing objects to be thread-safe such as immutability, locking, and containment. It also summarizes high-level concurrency utilities in Java like locks, executors, concurrent collections, and atomic variables.
Presented at JavaOne 2013, Tuesday September 24.
"Data Modeling Patterns" co-created with Ian Robinson.
"Pitfalls and Anti-Patterns" created by Ian Robinson.
Concurrency refers to the execution of multiple instruction sequences simultaneously, as occurs when multiple process threads run in parallel on an operating system. Threads may communicate via shared memory or message passing. Concurrency is important in software that monitors real-world systems where many events occur simultaneously. Ensuring events are responded to in a timely manner while handling interactions between concurrent activities requires coordination techniques like concurrency control to avoid race conditions where state information is inconsistently modified by different threads.
Apache Camel: The Swiss Army Knife of Open Source Integrationprajods
The Camel project from Apache(camel.apache.org), is a very popular, light weight, open source integration framework.
This presentation shows some interesting features of Camel and the unique advantages that Camel brings to your integration projects. Some business
use cases are shown to explain how Camel makes open source integration a cakewalk.
Table of contents:
1. An overview of Apache Camel
2. Integration architecture explained
3. Using Camel in different integration architectures
3.a. In the Securities domain
3.b. In the Travel domain
4. High Availability and Load Balancing with Camel
JavaScript for ABAP Programmers - 7/7 Functional ProgrammingChris Whealy
The document discusses the differences between imperative and functional programming styles. Imperative programming focuses on explicitly defining the timeline of when statements are executed to modify the computer's state. It uses keywords like if, while, and for to control instruction flow. Functional programming avoids side effects by defining computations as relationships between functions, without modifying shared state. It uses recursion instead of loops and delegates instruction flow control to the runtime. The document provides a simple example of calculating Fibonacci numbers in both imperative and functional styles to illustrate these differences.
Distributed Ruby and Rails
This document discusses distributed Ruby programming and using message queues with Ruby on Rails applications. It introduces several distributed Ruby technologies including DRb for remote method invocation, Rinda for distributed tuple spaces, Starfish for map-reduce programming, and the MagLev VM. It also covers various message queue systems like Starling, RabbitMQ, ActiveMQ, and beanstalkd that can be used to build scalable and reliable distributed Ruby applications.
The document discusses switch/case statements in various programming languages. It provides examples of switch/case syntax in C#, Visual Basic .NET, Haskell, Pascal, Perl and other languages. Some key points made are:
- Switch/case allows variable value to control program flow via multiway branch. It improves clarity over repetitive if/else statements.
- Languages differ in whether they allow fall-through between cases or require break. Haskell has no fall-through while C# requires all case blocks to end or trigger errors.
- Syntax also varies, with some languages allowing ranges, comma separated lists, non-integer values, and different keywords like "case", "switch" or "given".
Ruby on Rails version 2.1 was released on June 1st, 2008. It included several new features such as timezones, dirty tracking, gem dependencies, named scopes, UTC-based migrations, and better caching. ActiveRecord changes included support for expressions in sum calculations, eager loading of associations, polymorphic URLs, and the ability to add and remove timestamps from tables.
- Java 8 introduced a new date and time API in the java.time package that is immutable, thread-safe, and supports multiple calendar systems.
- The API separates the concepts of date, time, and timestamps (LocalDate, LocalTime, LocalDateTime) from calendar systems and timezones (ZonedDateTime).
- The API provides methods to query, manipulate, and convert between date/time objects using static factories, instance methods, and temporal adjusters.
Java8 introduced several new features including lambda expressions, default methods, and streams. It also included a new date/time API and the Optional class to avoid null pointer exceptions. The document provides examples of using the new Optional class and date/time API in Java8, which was released in March 2014. It also outlines the history of Java versions leading up to Java8 and previews some future versions like Java9.
In Java 8, the java.util.function has numerous built-in interfaces. Other packages in the Java library (notably java.util.stream package) make use of the interfaces defined in this package. Java 8 developers should be familiar with using key interfaces provided in this package. This presentation provides an overview of four key functional interfaces (Consumer, Supplier, Function, and Predicate) provided in this package.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This presentation provides an overview of using the Java SE 8 Date & Time API. It covers how to:
1. Create and manage date-based and time-based events including a combination of date and time into a single object using LocalDate, LocalTime, LocalDateTime, Instant, Period, and Duration
2. Work with dates and times across timezones and manage changes resulting from daylight savings including format date and times values
3. Define and create and manage date-based and time-based events using Instant, Period, Duration, and TemporalUnit
This document provides a brief overview of Java 8 features including functional interfaces, lambda expressions, stream API, and Optional class. It discusses how functional interfaces provide target types for lambda expressions and can have a single abstract method. Lambda expressions allow implementing functional interfaces concisely without anonymous classes. The stream API provides a powerful way to process collections in a declarative way using lambda expressions. The Optional class avoids null pointer exceptions and allows chaining of method calls on objects that may be null.
The document discusses Java 8 features like lambda expressions, streams, and method references. It provides examples of filtering a list of books by pages or genre using lambda expressions and streams. Lambda expressions allow implementing functional interfaces concisely without anonymous classes. Streams provide a way to process data elements sequentially and support operations like filtering, mapping, matching, reducing, and collecting results.
Java 8 is coming soon. In this presentation I have outlined the major Java 8 features. You get information about interface improvements, functional interfaces, method references, lambdas, java.util.function, java.util.stream
The document discusses Java streams and I/O. It defines streams as abstract representations of input/output devices that are sources or destinations of data. It describes byte and character streams, the core stream classes in java.io, predefined System streams, common stream subclasses, reading/writing files and binary data with byte streams, and reading/writing characters with character streams. It also covers object serialization/deserialization and compressing files with GZIP.
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
Code is available at https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This is a 3 part series on Java8 Features. Drop me an email for a discussion - singh.marut@gmail.com
Code is available at https://github.com/singhmarut/java8training
Videos available at my youtube channel https://www.youtube.com/channel/UCBM4yHwfjQ_syW6Lz8kYpmA
This document discusses various programming paradigms and concurrency concepts in Java. It covers single and multi-process programming, multi-threading, processes, threads, synchronization, deadlocks, and strategies for designing objects to be thread-safe such as immutability, locking, and containment. It also summarizes high-level concurrency utilities in Java like locks, executors, concurrent collections, and atomic variables.
Presented at JavaOne 2013, Tuesday September 24.
"Data Modeling Patterns" co-created with Ian Robinson.
"Pitfalls and Anti-Patterns" created by Ian Robinson.
Concurrency refers to the execution of multiple instruction sequences simultaneously, as occurs when multiple process threads run in parallel on an operating system. Threads may communicate via shared memory or message passing. Concurrency is important in software that monitors real-world systems where many events occur simultaneously. Ensuring events are responded to in a timely manner while handling interactions between concurrent activities requires coordination techniques like concurrency control to avoid race conditions where state information is inconsistently modified by different threads.
This document discusses lambda expressions and functional interfaces in Java 8. It begins by providing examples of lambda expressions that act as anonymous implementations of interfaces with single abstract methods (SAM interfaces). It then explains various functional interfaces like Function, BiFunction, Consumer, Supplier, and Predicate that can be used with lambda expressions. The document emphasizes how lambda expressions allow removing unnecessary elements to focus on the essential parameters and body of an operation.
Apache Camel is swiss knife for integration architectural problems. A full implementation of EIP and Loaded with hundreds of components it is the de-facto standard in solving Integration problems.
This document summarizes a Java hands-on workshop covering containers, I/O, reflection, generics and other Java concepts. The workshop included examples and exercises on topics like lists, sets, maps, iterators, object creation, garbage collection, the File class, readers/writers and more. Code examples were provided on GitHub for attendees to reference.
Java 8 introduces new toolkit which enables new model of thinking for java developers – functional. It encourage us to rethink traditional approaches of Object Oriented programming which were commonly accepted for decades. In this talk we will review many Gang of Four design patterns showing how they can be re-implemented in more concise and often more simple and elegant ways. Also we will look beyond that and will see which new design patterns and programming technics functional thinking and new java toolkit bring for us.
Going Serverless on AWS with Golang and SAMGeorge Tourkas
Intro to AWS Fully Managed (aka "Serverless") Services for Developers focusing on Lambda. Development Lifecycle (Code, Locally Run/Debug, Deploy) of Golang Lambda Handlers/Functions with SAM. Basic Performance and Cost analysis.
The document discusses GraphQL and Relay Modern. It begins with an overview of REST and some of its issues. It then covers what GraphQL is, how it was created at Facebook, and some of its key features like being version-free and having a hierarchical data structure. The document also discusses Relay Modern and what it provides for managing GraphQL queries and mutations. It includes examples of using GraphQL schemas and Relay to fetch and display basic and list data.
This document discusses GraphQL and Relay Modern. It begins with an overview of REST and its issues. It then covers what GraphQL is, how it was created at Facebook, and its motivations. Key aspects of GraphQL discussed include its single endpoint, hierarchical nature, strong typing, response mirroring the query, and introspection capabilities. The document also discusses Relay Modern and what it provides like declarative queries and mutations. It provides examples of simple GraphQL schemas and Relay components. In the end, it discusses subscriptions, routing, debugging, and resources for learning more.
This document provides an overview of the GraphQL ecosystem, including popular client libraries, developer tools, GraphQL servers, and server libraries. It introduces Apollo Client and Relay as popular GraphQL client libraries for React, Angular, and Vue. Tools discussed include GraphiQL, Launchpad, Apollo Client Dev Tools, and schema visualizers. Express GraphQL, Apollo Server, and GraphQL Yoga are presented as common GraphQL server options for Node.js. Key server libraries that handle common problems like the N+1 queries issue, duplicate requests, and query complexity are also summarized.
This document discusses the architecture for testing new versions and rules of RSPAMD, an email spam filtering software. It proposes using a proxy server to encrypt and load balance traffic between stable and testing clusters. The proxy would immediately return results from the stable cluster and compare results from multiple testing clusters using scripts. This allows testing new versions and rules on live traffic while maintaining a stable filtering environment.
The Best Feature of Go – A 5 Year RetrospectiveTahir Hashmi
After shipping Go code to production across 3 companies and 5 years, one feature of Go stands out as really special to me. That's what I talked about at Tokopedia Tech-a-Break GoJakarta Meetup.
Introduction of Java 8 with emphasis on Lambda Expressions and StreamsEmiel Paasschens
Lambda expressions and streams are major new features in Java 8. Lambda expressions allow treating functionality as a method argument or variable. Streams provide a new way to process collections of objects in a declarative way using intermediate and terminal operations. The document provides examples of lambda expressions, method references, functional interfaces, default methods on interfaces, and stream operations like filter, map, and reduce.
Java 8 introduces several new features that help modernize the Java platform and move it closer to parallelism. These include lambda expressions, which allow treating code as data, and default methods in interfaces, which allow interfaces to evolve while maintaining compatibility. Streams and bulk operations on collections enable a more functional, parallel style of programming. The invokedynamic bytecode instruction is enhanced to allow lambda expressions to be compiled to anonymous methods and executed efficiently by the JVM.
This document discusses GraphQL, a query language for APIs and a runtime for fulfilling queries with existing data. It provides examples of basic queries, nested fields, connections, arguments, and fragments. It also covers GraphQL types including scalars, schemas, definitions, predicates, and data resolution. GraphQL allows clients to define the structure of the data required, and specifies querying, modifying, and transmitting data between client and server.
Java 8 introduced many new features including lambda expressions for functional programming, default methods and static methods in interfaces, method references, repeating annotations, improved type inference, the Optional class, streams API for functional-style collections processing, and Base64 encoding support in the standard library. It was a major update to the Java programming language and development kit.
Reactive Programming - ReactFoo 2020 - Aziz KhambatiAziz Khambati
This document discusses reactive programming and how it relates to React and RxJS. It begins with an introduction to reactive programming and its focus on data streams and propagating change. It then discusses how React popularized the declarative programming paradigm for building user interfaces. The document also provides an example of using RxJS to build an autocomplete component reactively by composing Observables. It emphasizes that RxJS allows building reactive features in a declarative way using operators on data streams.
This document provides an overview of Java 8 including:
- Java 8 has approximately 9 million developers and Oracle supports versions 6-8.
- New features include default methods, lambda expressions, streams, and parallel processing capabilities.
- JavaScript integration allows JavaScript code to be run from Java, enabling database and other connections from JavaScript.
- Potential issues with Java 8 include more complex debugging due to lambda expressions and increased abstraction.
RxJava is a library for composing asynchronous and event-based programs using observable sequences for the Java VM. It provides APIs for asynchronous programming with observable streams. Reactive Extensions (Rx) is a library that supports reactive programming with observable streams in many languages. Netflix adopted RxJava to address issues with its legacy API and improve performance of its services. RxJava uses Observables to build responsive and resilient applications in a reactive style.
This document discusses JavaScript module systems including CommonJS, RequireJS, Browserify, ES6 modules, Webpack, and JSPM. It begins with a history of JavaScript modules and loading external scripts. It then covers CommonJS for Node.js, RequireJS for asynchronous loading in browsers, and Browserify for using CommonJS modules in browsers. ES6 modules are described as the standard module solution. Webpack is presented as a module bundler with many features. Finally, JSPM is discussed as a package manager that works with SystemJS to provide modules from npm and GitHub for both browsers and Node.js.
Cascading is a Java framework that allows users to define data processing workflows on Hadoop clusters more easily. The author discusses connecting Cascading to the Starfish profiler and optimizer to enable automated optimization of Cascading workflows. Key points are:
1) Cascading workflows are translated to DAGs of Hadoop jobs for profiling and optimization.
2) The Cascading API is modified to use the Hadoop New API to interface with Starfish.
3) Experiments show the Starfish optimizer providing speedups of up to 1.3x for several real-world Cascading workflows.
ShadowReader - Serverless load tests for replaying production trafficYuki Sawa
While load testing has become more accessible, configuring load tests that faithfully recreate production conditions can be difficult -- a good load test must use a set of URLs that is representative of production traffic and achieve request rates that mimic real users. Even performing distributed load tests requires the upkeep of a fleet of servers.
ShadowReader aims to solve these problems. It gathers URLs and request rates straight from production logs and replays it using AWS Lambda. Being serverless, it is more efficient cost and performance wise than traditional distributed load tests and in practice has scaled beyond 50,000 requests / minute.
At Edmunds, we have been able to utilize these capabilities to solve problems such as Node.js memory leaks that were happening only in production by recreating the same conditions in our QA environment. It’s also being used everyday to generate load for pre-prod canary deployments.
This presentation will go over:
- How ShadowReader solved a production incident through replaying traffic
- Explain ShadowReader's serverless architecture
- Show the audience how they can leverage it for their own testing
ShadowReader has recently been open sourced on GitHub and is actively seeking suggestions and contributions.
Spark is a distributed data processing framework that uses RDDs (Resilient Distributed Datasets) to represent data distributed across a cluster. RDDs support transformations like map, filter, and actions like reduce to operate on the distributed data in a parallel and fault-tolerant manner. Key concepts include lazy evaluation of transformations, caching of RDDs, and use of broadcast variables and accumulators for sharing data across nodes.
W świecie mikrousługowym architektura Lambda zadomowiła się już na dobre. Tak przetwarzania streamingowe, jak i batchowe buduje wiele firm. Na rynku (o ile o rynku można mówić w kontekście open source) istnieje wiele frameworków, każdy jednak ma pewne cechy, które — zwłaszcza przy dużych projektach — utrudniają pracę. Jedne służą do przetwarzania real-time, drugie lepiej spisują się w workloadach batchowych. Niektóre z nich zaś można uznać za „rock-solid” tylko jeśli uruchamiamy je na Hadoopie. Nie brak tych problemów jest jednak główną zaletą Beama. A co nią jest? Dowiecie się na prezentacji! Poruszymy takie kwestie jak model przetwarzania, use-case’y, w których Beam się sprawdza, a także środowiska uruchomieniowe. Zobaczycie też, jak uruchamiać joby Apache Beam na Google Cloud Platform.
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
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How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
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Manyata Tech Park Bangalore_ Infrastructure, Facilities and Morenarinav14
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Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
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The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
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2. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
3. WHAT WILL JAVA 8 BRING US
CLIMATE IS CHANGING
▸ Java was in dominant positions due to its
simplicity, portability, safety and free to use.
▸ JVM-based dynamic language comes up,
known for their simplicity and portability.
(Groovy, Clojure, Scala)
▸ Big data is on the rise. Programmers need
to deal with large collections.
▸ Multicore processor is becoming more and
more popular. Programmers need to an
easier way to do parallel programming.
▸ Java is kind of verbose.
10. BEHAVIOR PARAMETERIZATION - LAMBDAS
Where to use functional interface
▸ Anywhere an object could be used
▸ method arguments/parameters/return types
▸ inside collections
▸ Variables
▸ …….
11. BEHAVIOR PARAMETERIZATION - LAMBDAS
In the past, use anonymous class as instance for functional interface
Now, use lambda expression/method reference as instance for functional interface
▸ Think about Comparator — create an anonymous class
▸ All anonymous class could be replaced with lambda/method reference
▸ Anonymous class ~ lambda expression ~ method reference
▸ lambda expressions
▸ method reference
12. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
20. BEHAVIOR PARAMETERIZATION - LAMBDAS
Rules for converting lambda to method reference
▸ A method reference to a static method
▸ A method reference to an instance method of an arbitrary type
▸ A method reference to an instance method of an existing object
21. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
22. SIMPLE SYNTACTIC SUGAR - NEW METHODS INSIDE COLLECTIONS
Map interface: getOrDefault method
▸ Definition: getOrDefault(K key, V defaultValue)
▸ Scenario: get a value (may not exist) from a map, do some calculation and put it back
23. SIMPLE SYNTACTIC SUGAR - NEW METHODS INSIDE COLLECTIONS
Map interface: computeIfAbsent method
▸ Definition: computeIfAbsent(K key, Function mapping)
▸ Scenario: if the key does not exist, compute a value for it.
24. SIMPLE SYNTACTIC SUGAR - NEW METHODS INSIDE COLLECTIONS
Map interface: forEach method
▸ Definition: forEach(Consumer con)
▸ Scenario: loop through a map
25. SIMPLE SYNTACTIC SUGAR - NEW METHODS INSIDE COLLECTIONS
Collections interface: removeIf method
▸ Definition: removeIf(Predicate filter)
▸ Scenario: remove an element from the list if specific condition is met
27. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
28. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
29. FUNCTIONAL PROGRAMMING - STREAM API
Stream API
▸ What’s wrong with collections?
▸ Much business logic entails database-like operations such as
grouping a list by category / find the most expensive dish. (Usually
implemented with iterators, could we do it declaratively?)
▸ Big data requires us to utilize multicore processor more frequently.
(Usually implemented with fork/join framework introduced in Java 7.
Could we save some effort? )
30. FUNCTIONAL PROGRAMMING - STREAM API
Stream API
▸ Def: fancy iterators over collections
▸ Scenario:
38. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Creating, intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
39. FUNCTIONAL PROGRAMMING - STREAM API
How to create stream?
▸ From arrays
▸ From collections
▸ Custom generators — Stream.generate() / iterate() method
▸ From other popular APIs
41. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Creating, intermediate and terminal operations
▸Use cases
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
42. FUNCTIONAL PROGRAMMING - STREAM API
Use cases: whenever you want to perform database-like operations
▸ Group/Multi-level group
▸ Filter
▸ Sum/Max/Min/Average/Distinct/Count
▸ Extracting specific properties
▸ ……
43. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Use cases
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
44. ALTERNATIVE TO NULL — OPTIONAL
Optional definition:
▸ Def: a container may or may not cannot value - just like reference
▸ Benefit 1:
▸ NullPointerException will always be thrown out during runtime
▸ Optional enforces “empty checking” in grammar during compile time
▸ Benefit 2:
▸ Optional interface supports a set of methods makes handling “empty case” easy
45. ALTERNATIVE TO NULL — OPTIONAL
Optional use case :
▸ http://www.nurkiewicz.com/2013/08/optional-in-java-8-cheat-sheet.html
More use cases:
46. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
48. EVOLVING API — DEFAULT METHODS
Default method
▸ Definition: A way to evolve Interface APIs in a compatible way.
▸ As a result, interface could now have methods with implementation
▸ This means “Java supports multiple inheritance”
▸ How does Java solves traditional “Diamond Problem”?
▸ Three resolution rules
▸ http://www.javabrahman.com/java-8/java-8-multiple-inheritance-conflict-
resolution-rules-and-diamond-problem/
49. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
50. COMPOSABLE ASYNCHRONOUS PROGRAMMING — COMPLETABLEFUTURE
Review: Future
▸ Future is used for asynchronous programming
How to combine multiple Future task???
52. OTHER NEW FEATURES
Other new features
▸ Date and Time API — Handle time zone, separate concerns
▸ JVM Javascript engine — Nashorn
53. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
54. DARKSIDE OF JAVA 8
Dark side of Java 8
▸ Lambda expressions will make debugging log much longer
▸ Not truly functional
▸ Additional reading
▸ http://blog.takipi.com/6-reasons-not-to-switch-to-java-8-just-yet/
▸ Google search “DZone what’s wrong with Java 8”
55. OUTLINE
▸What will Java 8 give us
▸Behavior parameterization
▸More comprehensive functional interface
▸Lambda expression
▸Method reference
▸Simple syntactic sugar - new methods inside Collections
▸Functional programming - Stream API
▸Intuition
▸Intermediate and terminal operations
▸Properties
▸Alternative to NULL — Optional
▸Changeable Interface — Default methods
▸Asynchronous programming enhancement - Future vs CompletableFuture
▸Other features
▸Dark side of Java 8
▸Conclusion
56. CONCLUSION
▸ Anonymous class - lambdas
▸ Database-like routines - Stream API
▸ Get to know functional programming
▸ Null pointer exception - Optional
▸ Lots of syntactic sugar in collections method