This document provides quick guides and code snippets for common JavaScript tasks when using Test Complete, such as creating objects and classes, reading and writing files, iterating through arrays, and connecting to databases. It includes examples of how to use try/catch blocks, switch statements, and extend built-in prototypes. Methods are demonstrated for working with strings, files, XML documents, SQL connections, and generating XML from objects.
Enterprise software needs to be faster than the competition.
In this presentation we will explore what is performance testing, why it is important and when should you implement these tests.
The document discusses the new unified logging system in Java 9 for garbage collection (GC) logs. It introduces the -Xlog:gc option that provides a common interface for GC logging and deprecates old GC logging flags. Examples are provided showing GC logs from both the old and new logging approaches. The key points covered are the unified logging framework in Java 9, how it applies specifically to GC logging, and migrating existing GC logging configurations to use the new -Xlog:gc option.
Java Performance Analysis on Linux with Flame GraphsBrendan Gregg
This document discusses using Linux perf_events (perf) profiling tools to analyze Java performance on Linux. It describes how perf can provide complete visibility into Java, JVM, GC and system code but that Java profilers have limitations. It presents the solution of using perf to collect mixed-mode flame graphs that include Java method names and symbols. It also discusses fixing issues with broken Java stacks and missing symbols on x86 architectures in perf profiles.
Tangram: Distributed Scheduling Framework for Apache Spark at FacebookDatabricks
Tangram is a state-of-art resource allocator and distributed scheduling framework for Spark at Facebook with hierarchical queues and a resource based container abstraction. We support scheduling and resource management for a significant portion of Facebook's data warehouse and machine learning workloads that equates to running millions of jobs across several clusters with tens of thousands of machines. In this talk, we will describe Tangram's architecture, discuss Facebook's need for a custom scheduler, and explain how Tangram schedules Spark workloads at scale. We will specifically focus on several important features around improving Spark's efficiency, usability and reliability: 1. IO-rebalancer (Tetris) Support 2. User-Fairness Queueing 3. Heuristic-Based Backfill Scheduling Optimizations.
The document discusses regression testing, which involves re-testing software after changes to ensure existing functionality still works properly and new changes do not cause unintended issues. It describes the types of regression testing as regular, done between test cycles, and final, done before release. It outlines best practices for regression testing like classifying test cases by priority and selecting relevant ones based on changes. The document provides guidance on resetting test cases, executing the regression tests, and concluding the results.
The document discusses best practices for unit testing, including:
1. Tests should follow a 3 step structure of prepare input, call method, check output. They should be fast, consistent, atomic, and have single responsibility.
2. Tests should isolate the environment, classes, and test instances to avoid dependencies. Mocking is recommended for environment isolation.
3. The best practices aim to make tests independent, fast, and easy to maintain through techniques like mocking and separating test logic from production code.
An application that looks stunning but performs poorly can cause business impact, customer dissatisfaction and higher maintenance costs.
We present an overview on the fundamentals of software testing in this presentation.
Is it possible to define a set of axioms that provide a framework for software testing that all the variations of test approach currently being advocated align with or obey? In this respect, an axiom would be an uncontested principle; something self-evidently and so obviously true and not requiring proof. What would such test axioms look like? This paper summarises some preliminary work on defining a set of Test Axioms. Some applications of the axioms that would appear useful are suggested for future development. It is also suggested the work of practitioners and researchers is on very shaky ground unless we refine and agree these Axioms. This is a work in progress.
Enterprise software needs to be faster than the competition.
In this presentation we will explore what is performance testing, why it is important and when should you implement these tests.
The document discusses the new unified logging system in Java 9 for garbage collection (GC) logs. It introduces the -Xlog:gc option that provides a common interface for GC logging and deprecates old GC logging flags. Examples are provided showing GC logs from both the old and new logging approaches. The key points covered are the unified logging framework in Java 9, how it applies specifically to GC logging, and migrating existing GC logging configurations to use the new -Xlog:gc option.
Java Performance Analysis on Linux with Flame GraphsBrendan Gregg
This document discusses using Linux perf_events (perf) profiling tools to analyze Java performance on Linux. It describes how perf can provide complete visibility into Java, JVM, GC and system code but that Java profilers have limitations. It presents the solution of using perf to collect mixed-mode flame graphs that include Java method names and symbols. It also discusses fixing issues with broken Java stacks and missing symbols on x86 architectures in perf profiles.
Tangram: Distributed Scheduling Framework for Apache Spark at FacebookDatabricks
Tangram is a state-of-art resource allocator and distributed scheduling framework for Spark at Facebook with hierarchical queues and a resource based container abstraction. We support scheduling and resource management for a significant portion of Facebook's data warehouse and machine learning workloads that equates to running millions of jobs across several clusters with tens of thousands of machines. In this talk, we will describe Tangram's architecture, discuss Facebook's need for a custom scheduler, and explain how Tangram schedules Spark workloads at scale. We will specifically focus on several important features around improving Spark's efficiency, usability and reliability: 1. IO-rebalancer (Tetris) Support 2. User-Fairness Queueing 3. Heuristic-Based Backfill Scheduling Optimizations.
The document discusses regression testing, which involves re-testing software after changes to ensure existing functionality still works properly and new changes do not cause unintended issues. It describes the types of regression testing as regular, done between test cycles, and final, done before release. It outlines best practices for regression testing like classifying test cases by priority and selecting relevant ones based on changes. The document provides guidance on resetting test cases, executing the regression tests, and concluding the results.
The document discusses best practices for unit testing, including:
1. Tests should follow a 3 step structure of prepare input, call method, check output. They should be fast, consistent, atomic, and have single responsibility.
2. Tests should isolate the environment, classes, and test instances to avoid dependencies. Mocking is recommended for environment isolation.
3. The best practices aim to make tests independent, fast, and easy to maintain through techniques like mocking and separating test logic from production code.
An application that looks stunning but performs poorly can cause business impact, customer dissatisfaction and higher maintenance costs.
We present an overview on the fundamentals of software testing in this presentation.
Is it possible to define a set of axioms that provide a framework for software testing that all the variations of test approach currently being advocated align with or obey? In this respect, an axiom would be an uncontested principle; something self-evidently and so obviously true and not requiring proof. What would such test axioms look like? This paper summarises some preliminary work on defining a set of Test Axioms. Some applications of the axioms that would appear useful are suggested for future development. It is also suggested the work of practitioners and researchers is on very shaky ground unless we refine and agree these Axioms. This is a work in progress.
This document provides an overview of reactive programming concepts and technologies. It defines reactive programming as using asynchronous and non-blocking code to build responsive and resilient applications. It discusses reactive concepts like the event loop, back pressure, and overflow management. Frameworks like Vert.x and libraries like SmallRye Mutiny that support reactive programming on the JVM are also introduced. The key advantages of reactive programming are supporting more concurrent connections using fewer threads and efficiently processing asynchronous data streams.
Delivered at the FISL13 conference in Brazil: http://www.youtube.com/watch?v=K9w2cipqfvc
This talk introduces the USE Method: a simple strategy for performing a complete check of system performance health, identifying common bottlenecks and errors. This methodology can be used early in a performance investigation to quickly identify the most severe system performance issues, and is a methodology the speaker has used successfully for years in both enterprise and cloud computing environments. Checklists have been developed to show how the USE Method can be applied to Solaris/illumos-based and Linux-based systems.
Many hardware and software resource types have been commonly overlooked, including memory and I/O busses, CPU interconnects, and kernel locks. Any of these can become a system bottleneck. The USE Method provides a way to find and identify these.
This approach focuses on the questions to ask of the system, before reaching for the tools. Tools that are ultimately used include all the standard performance tools (vmstat, iostat, top), and more advanced tools, including dynamic tracing (DTrace), and hardware performance counters.
Other performance methodologies are included for comparison: the Problem Statement Method, Workload Characterization Method, and Drill-Down Analysis Method.
1) Behaviour-driven development (BDD) is an agile methodology that focuses on delivering working, tested software through collaboration between developers, testers and stakeholders.
2) BDD implements an application by describing its behavior through features and scenarios written from the perspective of stakeholders. Stories, acceptance criteria, executable examples and other tools are used to define requirements and guide development.
3) BDD aims to produce software that provides tangible value to stakeholders by being delivered incrementally, being easy to deploy and manage, and by adapting quickly to feedback through frequent testing and deployment.
The document summarizes the results of performance testing on a system. It provides throughput and scalability numbers from tests, graphs of metrics, and recommendations for developers to improve performance based on issues identified. The performance testing process and approach are also outlined. The resultant deliverable is a performance and scalability document containing the test results but not intended as a formal system sizing guide.
Event Driven-Architecture from a Scalability perspectiveJonas Bonér
This document discusses building scalable systems using event-driven architecture (EDA). It covers key EDA concepts like messaging patterns, domain events, event streaming, actors, and command query responsibility segregation (CQRS). Implementation patterns are presented, like event sourcing to store system state as a sequence of events. Challenges with clustering brokers, guaranteed delivery, competing consumers and flow control are addressed. Examples of highly scalable systems like Flickr, Amazon, Reddit and Twitter are provided that minimize latency and leverage asynchronous messaging.
A quick presentation on BDD in general, and Gherkin and Behave in particular. This goes on the fundamentals of Gherkin, and showcases a very simple Behave test for the well known `ls` command. The git repository for this presentation that was demoed is https://github.com/bmustiata/behave-demo .
Regression testing is retesting software after changes to ensure bugs have not been introduced or detected. It has the objectives of checking that bugs have been addressed, testing related areas that could be affected, and achieving a bug-free system. Strategies for regression testing include retesting all tests, selecting some tests to rerun based on areas affected by changes, and prioritizing test cases based on business impact and importance. An effective regression strategy can save organizations time and money by automating regression testing.
Async ... Await – concurrency in java scriptAthman Gude
This document discusses concurrency in JavaScript and how async/await helps improve asynchronous code. It covers:
- Concurrency involves doing multiple tasks over time in order or partially ordered ways. JavaScript uses non-blocking I/O with an event loop.
- Blocking code can halt everything, so JavaScript uses callbacks for asynchronous operations like network requests.
- Promises help solve issues with callbacks but still require callback functions. Async/await allows writing asynchronous code that looks synchronous using generators and promises under the hood. It provides better readability and error handling than callbacks or promises alone. Developers must still be careful about parallelism and await usage.
More and more data sources today provide a constant data stream, from Internet of Things devices to Social Media streams. It is one thing to collect these events in the velocity they arrive, without losing any single message. An Event Hub and a data flow engine can help here. It’s another thing to do some (complex) analytics on the data. There is always the option to first store them in a data sink of choice, such as a data lake implemented with HDFS/object store, or in a database such as a NoSQL or even an RDBMS, if the volume of events is not too high. Storing a high-volume event stream is feasible and not such a challenge anymore. But doing it adds to the end-to-end latency and it’s a matter of minutes or hours until you can present some results of your analytics. If you need to react fast, you simply can't afford to first store the data and doing the analysis/analytics later. You have to be able to include part of your analytics directly on the data stream. This is called Stream Processing or Stream Analytics. In this talk I will present the important concepts, a Stream Processing solution should support and then dive into some of the most popular frameworks available on the market and how they compare.
QualiTest provides load and performance testing services to determine a system's behavior under normal and peak load conditions. Their testing process identifies maximum operating capacity and elements that cause degradation. They ensure applications can handle predicted traffic volumes. QualiTest uses various load testing tools and methodologies to simulate real-world usage and stress test systems. Their testing delivers reports on defects, tool evaluations, and ongoing support for quality improvement.
How To Write A Test Case In Software Testing | EdurekaEdureka!
YouTube Link: https://youtu.be/KxelISpFqOY
(** Test Automation Masters Program: https://www.edureka.co/masters-progra... **)
This Edureka PPT on "Test Case in Software Testing" will give you in-depth knowledge on how to write a Test Case in Software Testing. The following are the topics covered in the session:
Software Testing Documentation
Test Case in Software Testing
Test Case Format
Test Case Design Technique
Test Case Guidelines
Demo: How to write a test case?
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses various aspects of software testing including definitions, principles, objectives, types and processes. It defines testing as "the process of executing a program with the intent of finding errors". The key principles discussed are that testing shows presence of bugs but not their absence, exhaustive testing is impossible, early testing is beneficial, and testing must be done by an independent party. The major types of testing covered are unit testing, integration testing and system testing.
Introduction: This workshop will provide a hands-on introduction to Apache Spark using the HDP Sandbox on students’ personal machines.
Format: A short introductory lecture about Apache Spark components used in the lab followed by a demo, lab exercises and a Q&A session. The lecture will be followed by lab time to work through the lab exercises and ask questions.
Objective: To provide a quick and short hands-on introduction to Apache Spark. This lab will use the following Spark and Apache Hadoop components: Spark, Spark SQL, Apache Hadoop HDFS, Apache Hadoop YARN, Apache ORC, and Apache Ambari User Views. You will learn how to move data into HDFS using Spark APIs, create Apache Hive tables, explore the data with Spark and Spark SQL, transform the data and then issue some SQL queries.
Pre-requisites: Registrants must bring a laptop that can run the Hortonworks Data Cloud.
Speaker:
Robert Hryniewicz, Developer Advocate, Hortonworks
Scenario testing involves using real-world scenarios rather than test cases to test software. Testers think like end users to determine scenarios that could be performed in the software. Scenarios are created with input from clients, stakeholders, and developers. Scenario testing verifies full functionality and ensures business processes and flows match requirements. It also tests common use cases. System scenario tests focus on realistic user activities covering system components, while use case scenarios provide step-by-step procedures for intended user roles interacting with the system.
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안SANG WON PARK
Apache Kafak의 빅데이터 아키텍처에서 역할이 점차 커지고, 중요한 비중을 차지하게 되면서, 성능에 대한 고민도 늘어나고 있다.
다양한 프로젝트를 진행하면서 Apache Kafka를 모니터링 하기 위해 필요한 Metrics들을 이해하고, 이를 최적화 하기 위한 Configruation 설정을 정리해 보았다.
[Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안]
Apache Kafka 성능 모니터링에 필요한 metrics에 대해 이해하고, 4가지 관점(처리량, 지연, Durability, 가용성)에서 성능을 최적화 하는 방안을 정리함. Kafka를 구성하는 3개 모듈(Producer, Broker, Consumer)별로 성능 최적화를 위한 …
[Apache Kafka 모니터링을 위한 Metrics 이해]
Apache Kafka의 상태를 모니터링 하기 위해서는 4개(System(OS), Producer, Broker, Consumer)에서 발생하는 metrics들을 살펴봐야 한다.
이번 글에서는 JVM에서 제공하는 JMX metrics를 중심으로 producer/broker/consumer의 지표를 정리하였다.
모든 지표를 정리하진 않았고, 내 관점에서 유의미한 지표들을 중심으로 이해한 내용임
[Apache Kafka 성능 Configuration 최적화]
성능목표를 4개로 구분(Throughtput, Latency, Durability, Avalibility)하고, 각 목표에 따라 어떤 Kafka configuration의 조정을 어떻게 해야하는지 정리하였다.
튜닝한 파라미터를 적용한 후, 성능테스트를 수행하면서 추출된 Metrics를 모니터링하여 현재 업무에 최적화 되도록 최적화를 수행하는 것이 필요하다.
Parallelization of Structured Streaming Jobs Using Delta LakeDatabricks
We’ll tackle the problem of running streaming jobs from another perspective using Databricks Delta Lake, while examining some of the current issues that we faced at Tubi while running regular structured streaming. A quick overview on why we transitioned from parquet data files to delta and the problems it solved for us in running our streaming jobs.
Automation testing involves developing and executing tests that can run unattended, comparing actual and expected results. The major objectives of automation testing are to speed up testing, reduce costs and time, and increase quality. Automation testing is faster than manual testing and can test more scenarios. However, high upfront investment is required for tools and training. Both manual and automation testing are needed as automation does not cover all test cases. Popular automation testing tools include Selenium, QTP, and TestComplete.
In this slide show you will learn what is test complete, what can you test with it, how to create projects, tested application, create/record tests, test execution order, run tests, identify objects, checkpoints.
This document provides an overview of reactive programming concepts and technologies. It defines reactive programming as using asynchronous and non-blocking code to build responsive and resilient applications. It discusses reactive concepts like the event loop, back pressure, and overflow management. Frameworks like Vert.x and libraries like SmallRye Mutiny that support reactive programming on the JVM are also introduced. The key advantages of reactive programming are supporting more concurrent connections using fewer threads and efficiently processing asynchronous data streams.
Delivered at the FISL13 conference in Brazil: http://www.youtube.com/watch?v=K9w2cipqfvc
This talk introduces the USE Method: a simple strategy for performing a complete check of system performance health, identifying common bottlenecks and errors. This methodology can be used early in a performance investigation to quickly identify the most severe system performance issues, and is a methodology the speaker has used successfully for years in both enterprise and cloud computing environments. Checklists have been developed to show how the USE Method can be applied to Solaris/illumos-based and Linux-based systems.
Many hardware and software resource types have been commonly overlooked, including memory and I/O busses, CPU interconnects, and kernel locks. Any of these can become a system bottleneck. The USE Method provides a way to find and identify these.
This approach focuses on the questions to ask of the system, before reaching for the tools. Tools that are ultimately used include all the standard performance tools (vmstat, iostat, top), and more advanced tools, including dynamic tracing (DTrace), and hardware performance counters.
Other performance methodologies are included for comparison: the Problem Statement Method, Workload Characterization Method, and Drill-Down Analysis Method.
1) Behaviour-driven development (BDD) is an agile methodology that focuses on delivering working, tested software through collaboration between developers, testers and stakeholders.
2) BDD implements an application by describing its behavior through features and scenarios written from the perspective of stakeholders. Stories, acceptance criteria, executable examples and other tools are used to define requirements and guide development.
3) BDD aims to produce software that provides tangible value to stakeholders by being delivered incrementally, being easy to deploy and manage, and by adapting quickly to feedback through frequent testing and deployment.
The document summarizes the results of performance testing on a system. It provides throughput and scalability numbers from tests, graphs of metrics, and recommendations for developers to improve performance based on issues identified. The performance testing process and approach are also outlined. The resultant deliverable is a performance and scalability document containing the test results but not intended as a formal system sizing guide.
Event Driven-Architecture from a Scalability perspectiveJonas Bonér
This document discusses building scalable systems using event-driven architecture (EDA). It covers key EDA concepts like messaging patterns, domain events, event streaming, actors, and command query responsibility segregation (CQRS). Implementation patterns are presented, like event sourcing to store system state as a sequence of events. Challenges with clustering brokers, guaranteed delivery, competing consumers and flow control are addressed. Examples of highly scalable systems like Flickr, Amazon, Reddit and Twitter are provided that minimize latency and leverage asynchronous messaging.
A quick presentation on BDD in general, and Gherkin and Behave in particular. This goes on the fundamentals of Gherkin, and showcases a very simple Behave test for the well known `ls` command. The git repository for this presentation that was demoed is https://github.com/bmustiata/behave-demo .
Regression testing is retesting software after changes to ensure bugs have not been introduced or detected. It has the objectives of checking that bugs have been addressed, testing related areas that could be affected, and achieving a bug-free system. Strategies for regression testing include retesting all tests, selecting some tests to rerun based on areas affected by changes, and prioritizing test cases based on business impact and importance. An effective regression strategy can save organizations time and money by automating regression testing.
Async ... Await – concurrency in java scriptAthman Gude
This document discusses concurrency in JavaScript and how async/await helps improve asynchronous code. It covers:
- Concurrency involves doing multiple tasks over time in order or partially ordered ways. JavaScript uses non-blocking I/O with an event loop.
- Blocking code can halt everything, so JavaScript uses callbacks for asynchronous operations like network requests.
- Promises help solve issues with callbacks but still require callback functions. Async/await allows writing asynchronous code that looks synchronous using generators and promises under the hood. It provides better readability and error handling than callbacks or promises alone. Developers must still be careful about parallelism and await usage.
More and more data sources today provide a constant data stream, from Internet of Things devices to Social Media streams. It is one thing to collect these events in the velocity they arrive, without losing any single message. An Event Hub and a data flow engine can help here. It’s another thing to do some (complex) analytics on the data. There is always the option to first store them in a data sink of choice, such as a data lake implemented with HDFS/object store, or in a database such as a NoSQL or even an RDBMS, if the volume of events is not too high. Storing a high-volume event stream is feasible and not such a challenge anymore. But doing it adds to the end-to-end latency and it’s a matter of minutes or hours until you can present some results of your analytics. If you need to react fast, you simply can't afford to first store the data and doing the analysis/analytics later. You have to be able to include part of your analytics directly on the data stream. This is called Stream Processing or Stream Analytics. In this talk I will present the important concepts, a Stream Processing solution should support and then dive into some of the most popular frameworks available on the market and how they compare.
QualiTest provides load and performance testing services to determine a system's behavior under normal and peak load conditions. Their testing process identifies maximum operating capacity and elements that cause degradation. They ensure applications can handle predicted traffic volumes. QualiTest uses various load testing tools and methodologies to simulate real-world usage and stress test systems. Their testing delivers reports on defects, tool evaluations, and ongoing support for quality improvement.
How To Write A Test Case In Software Testing | EdurekaEdureka!
YouTube Link: https://youtu.be/KxelISpFqOY
(** Test Automation Masters Program: https://www.edureka.co/masters-progra... **)
This Edureka PPT on "Test Case in Software Testing" will give you in-depth knowledge on how to write a Test Case in Software Testing. The following are the topics covered in the session:
Software Testing Documentation
Test Case in Software Testing
Test Case Format
Test Case Design Technique
Test Case Guidelines
Demo: How to write a test case?
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses various aspects of software testing including definitions, principles, objectives, types and processes. It defines testing as "the process of executing a program with the intent of finding errors". The key principles discussed are that testing shows presence of bugs but not their absence, exhaustive testing is impossible, early testing is beneficial, and testing must be done by an independent party. The major types of testing covered are unit testing, integration testing and system testing.
Introduction: This workshop will provide a hands-on introduction to Apache Spark using the HDP Sandbox on students’ personal machines.
Format: A short introductory lecture about Apache Spark components used in the lab followed by a demo, lab exercises and a Q&A session. The lecture will be followed by lab time to work through the lab exercises and ask questions.
Objective: To provide a quick and short hands-on introduction to Apache Spark. This lab will use the following Spark and Apache Hadoop components: Spark, Spark SQL, Apache Hadoop HDFS, Apache Hadoop YARN, Apache ORC, and Apache Ambari User Views. You will learn how to move data into HDFS using Spark APIs, create Apache Hive tables, explore the data with Spark and Spark SQL, transform the data and then issue some SQL queries.
Pre-requisites: Registrants must bring a laptop that can run the Hortonworks Data Cloud.
Speaker:
Robert Hryniewicz, Developer Advocate, Hortonworks
Scenario testing involves using real-world scenarios rather than test cases to test software. Testers think like end users to determine scenarios that could be performed in the software. Scenarios are created with input from clients, stakeholders, and developers. Scenario testing verifies full functionality and ensures business processes and flows match requirements. It also tests common use cases. System scenario tests focus on realistic user activities covering system components, while use case scenarios provide step-by-step procedures for intended user roles interacting with the system.
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안SANG WON PARK
Apache Kafak의 빅데이터 아키텍처에서 역할이 점차 커지고, 중요한 비중을 차지하게 되면서, 성능에 대한 고민도 늘어나고 있다.
다양한 프로젝트를 진행하면서 Apache Kafka를 모니터링 하기 위해 필요한 Metrics들을 이해하고, 이를 최적화 하기 위한 Configruation 설정을 정리해 보았다.
[Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안]
Apache Kafka 성능 모니터링에 필요한 metrics에 대해 이해하고, 4가지 관점(처리량, 지연, Durability, 가용성)에서 성능을 최적화 하는 방안을 정리함. Kafka를 구성하는 3개 모듈(Producer, Broker, Consumer)별로 성능 최적화를 위한 …
[Apache Kafka 모니터링을 위한 Metrics 이해]
Apache Kafka의 상태를 모니터링 하기 위해서는 4개(System(OS), Producer, Broker, Consumer)에서 발생하는 metrics들을 살펴봐야 한다.
이번 글에서는 JVM에서 제공하는 JMX metrics를 중심으로 producer/broker/consumer의 지표를 정리하였다.
모든 지표를 정리하진 않았고, 내 관점에서 유의미한 지표들을 중심으로 이해한 내용임
[Apache Kafka 성능 Configuration 최적화]
성능목표를 4개로 구분(Throughtput, Latency, Durability, Avalibility)하고, 각 목표에 따라 어떤 Kafka configuration의 조정을 어떻게 해야하는지 정리하였다.
튜닝한 파라미터를 적용한 후, 성능테스트를 수행하면서 추출된 Metrics를 모니터링하여 현재 업무에 최적화 되도록 최적화를 수행하는 것이 필요하다.
Parallelization of Structured Streaming Jobs Using Delta LakeDatabricks
We’ll tackle the problem of running streaming jobs from another perspective using Databricks Delta Lake, while examining some of the current issues that we faced at Tubi while running regular structured streaming. A quick overview on why we transitioned from parquet data files to delta and the problems it solved for us in running our streaming jobs.
Automation testing involves developing and executing tests that can run unattended, comparing actual and expected results. The major objectives of automation testing are to speed up testing, reduce costs and time, and increase quality. Automation testing is faster than manual testing and can test more scenarios. However, high upfront investment is required for tools and training. Both manual and automation testing are needed as automation does not cover all test cases. Popular automation testing tools include Selenium, QTP, and TestComplete.
In this slide show you will learn what is test complete, what can you test with it, how to create projects, tested application, create/record tests, test execution order, run tests, identify objects, checkpoints.
The document describes automation testing of the PrcView application using TestComplete. It provides 6 steps:
1) Launch the PrcView application and show all processes in the process list.
2) Get the number of processes currently running and verify that PrcView is in the list.
3) Verify the description of a selected module by comparing its actual and expected descriptions.
4) Check that the number of opened applications increases by one after launching a new application.
5) Save the current process list as a file.
The document includes functions to make assertions and comments for exercises to expand the test steps.
Script Driven Testing using TestCompletesrivinayak
This document discusses the steps to set up a new automated testing project in TestComplete, including selecting a project suite and test project, choosing a scripting language, creating a tested application to record against, recording a new script that performs actions on the application, and parameterizing the script to run with different input values in a data loop for execution. The document then concludes by thanking the reader.
TestComplete is an automated testing tool for testing Windows, web, and mobile applications. It provides features like test management, test execution for manual and automated tests, reporting, web and load testing, and supports various programming languages. TestComplete compares favorably to HP/Mercury QuickTest Professional with a lower cost, more programming options, and support for additional browsers and platforms, though QTP may be easier for beginners. TestComplete also supports data-driven and keyword-driven testing to parameterize and maintain test cases.
An automated testing tool by SmartBear – TestComplete is a comprehensive product with umpteen features and capabilities to make it one of the most liked testing tools encompassing a variety of applications like Desktop, Mobile Web and RIA with technologies like .NET, Java and more.
Visit: http://softwaretestingsolution.com/ to get a free POC of our services.
- TestComplete is a tool for automated testing that has been used at SRS for over 5 years to create over 50 test scripts and an automated execution tool called TSET.
- While TestComplete is still used to run some edge case and daily check scripts, it has limitations including slow script execution times, difficulty maintaining scripts over time, and incompatibility with newer technologies like mobile and Silverlight.
- To improve their TestComplete usage, SRS should address issues like false test failures, develop a script naming standard, create guidelines for developing testable applications, and leverage best practices to reduce maintenance overhead.
TestComplete is an automated testing tool used to test CALPADS. It allows creation, management and execution of tests for CALPADS. Some key learnings from using TestComplete include issues with script and name mapping maintenance over time, ensuring reusability and reliability of scripts across environments, and handling dynamic objects and unpredictable page loads. Going forward, guidelines for standardized script naming, test development with automation in mind, and a "three steps" process for test creation could help address these challenges.
Keyword Driven Testing using TestCompletesrivinayak
This document discusses how to create a keyword-driven testing script in TestComplete. It describes how to add a new keyword type, name the script, record keywords by selecting the tested application, and make a data loop to parameterize the script. The data loop involves selecting an Excel worksheet, specifying the Excel file, selecting the worksheet again, and specifying loop conditions. Finally, it shows how to parameterize the script by linking keywords to cells in the Excel file.
TestComplete 7.50 includes improvements to web, load, and keyword testing. It provides better support for Flex, JavaFX, .NET 4, and new controls. Name mapping is improved with customizable templates. Load testing includes "ramp up" and rendezvous points. Keyword tests can now be event handlers. Logging captures desktop images on errors.
This document is a conversation in 5 parts about using social media for communication. It discusses which channels to use, how to create and publish useful content, engaging different audiences, and envisioning the future of social media. Specific tips include using integration of channels like blogging and photos on Flickr and tweets, creating student "ambassadors" and editorial boards, and positioning your organization as an expert in your niche to build reputation outside your core community. It also predicts mobile usage and video on social media will continue increasing and names several thought leaders and local events to follow.
This document discusses how to test web services using TestComplete. It outlines steps for adding a test project, selecting a web service to test using a WSDL file, retrieving code to test web service components like HelloWorld and GetSampleObject, and logging test results. The document provides instructions and examples for testing several sample web services and logging the outputs.
This document discusses the role of a Scrum Master in motivating teams. It describes the author's background and experiences in quality assurance and test automation. The author believes that motivation relates to happiness, success, and winning for teams. As a Scrum Master, ways to motivate teams include leading by example, continuous improvements, mentoring the team, and focusing standups on progress rather than socializing. Motivation levels will fluctuate over time, so the Scrum Master should stay positive and encourage the team without trying to do everything themselves. Artifacts and planning activities should be optimized for engagement, such as using planning poker cards and providing food.
AWS CloudFormation Automation, TrafficScript, and Serverless architecture wit...PolarSeven Pty Ltd
Chris Kawchuck has 20 years experience in the Telecom and Service provider industry. He will be demonstrating how easy it is to spin up a Brocade vADC in AWS; enabling serverless architectures using S3 buckets, and accomplish real-time traffic rewrites to get you out of sticky situations.
Learn about:
1. Load balancing and scaling options available on AWS
2. Automating the Brocade vADC spin up using Cloudformation Templates
3. Enabling use of "Serverless" web pages in AWS 4.Taking care of tricky situations using TrafficScript
Implementing any 3rd party Load Balancer from the Amazon AWS Marketplace can be a daunting task. Not only does one have to learn the vendor's specific interface, you also need to perform quite a few administrative tasks to setup front end IPs, back end pools, clustering, and so on.
Brocade has published a CloudFormation Template (CFT) which takes all the hard work out of setting it up and operating. Using DevOps tools and open source scripts, we not only automate the deployment of the Brocade vADC within AWS, but all the configuration you need to administer, cluster, and provision your Load Balancers; including public IPs and your back-end server pools.
We would like you to try it, and take advantage of the powerful feature of the Brocade vADC.
https://github.com/dkalintsev/Brocade/tree/master/vADC/CloudFormation/Templates/Variants-and-experimental/Configured-by-Puppet
* Presented at the Sydney AWS User Group session 1st February 2017
http://www.meetup.com/AWS-Sydney/
Hosted and organised by PolarSeven - http://polarseven.com
View the full video presentation here:
https://youtu.be/rKTG2zjQS6o
Prioritization by value (DevOps, Scrum)Tommy Quitt
In Scrum, DevOps it is important to learn how to prioritize by value. Learn how to do it in this very short presentation.
Agile coaching can help teams to flex the muscle of prioritization and proper backlog grooming.
1) The document discusses delivering software at speed using Chef Automate and AWS OpsWorks for Chef Automate. It describes how Chef Automate provides capabilities for continuous automation, compliance, and visibility across infrastructure, applications, and workflows.
2) AWS OpsWorks for Chef Automate is introduced as a native Amazon service that provides a fully managed Chef server on AWS, allowing customers to take advantage of Chef Automate's capabilities in an AWS environment.
3) The document argues that Chef Automate is foundational for DevOps initiatives by enabling organizations to define infrastructure and compliance as code, increase speed of software delivery, improve efficiency, and decrease risk through continuous automation and compliance monitoring.
The document discusses the need for improved collaboration between developers and system administrators (sysadmins) to enable business objectives. It notes that developers focus on implementing new features quickly without considering operational impacts, while sysadmins aim to minimize risks by avoiding changes. This leads to delays in deployments and last-minute releases. The document recommends automating infrastructure provisioning and configuration using a tool like Chef to establish a common workflow and shared objectives between teams.
This 2-day training course covers Behavior Driven Development (BDD) and automation testing using the Behat and Mink frameworks. Day 1 includes an overview of BDD, the Behat tool, and the Gherkin language. It demonstrates setting up a Behat project, writing feature files with scenarios, and implementing step definitions. Day 2 focuses on more advanced topics like the Mink library for web testing, configuration options, and best practices for BDD. Attendees will learn how to write automated tests for a website using Behat and execute them on the command line or within a browser. The course is suitable for testers and developers interested in BDD and gaining skills in PHP, Behat, and M
This 2-day training course covers Selenium WebDriver with Java for manual testers looking to learn automation testing. It teaches the Selenium tooling and framework including Selenium IDE, RC, WebDriver, Java concepts, TestNG, jUnit, ANT and more. The course provides hands-on experience building automated test scripts with a focus on WebDriver API and using Java for test development.
HTML5 APIs - Where no man has gone before! - AltranRobert Nyman
This document summarizes several HTML5 APIs including classList, web storage, web SQL, IndexedDB, offline web applications, history API, web sockets, file API, drag and drop, web workers, fullscreen API, camera API, WebRTC, pointer lock API, and battery status API. It provides code examples and descriptions for how to use each API to add interactivity and offline capabilities to web applications.
This document provides examples and explanations of JavaScript concepts including objects and arrays, functions and contexts, closures, inheritance, namespaces and scope, module patterns, and dispatching. It demonstrates creating and manipulating objects and arrays, defining functions, using closures, implementing inheritance with prototypes and Object.create, creating namespaces, revealing and constructor module patterns, and a publisher/subscriber dispatching example.
The document discusses different Java XML parsers: SAX, DOM, StAX, and JAXB. SAX uses event-based parsing while DOM represents the XML as a tree structure in memory. StAX uses a pull-based model where the application controls parsing. The document recommends using StAX or JAXB for most use cases as they avoid loading the entire XML document into memory. Code examples are provided to demonstrate parsing XML with each API.
soft-shake.ch - Java SE 7: The Fork/Join Framework and Project Coinsoft-shake.ch
Julien Ponge
This talk introduces part of the Java SE 7 novelties. The fork/join framework aims at making parallel programming simpler, while Project Coin brings a set of subtle yet useful changes to the Java programming language.
http://soft-shake.ch/2011/conference/sessions/java/2011/09/06/java7.html
JavaScript APIs - The Web is the Platform - .toster conference, MoscowRobert Nyman
This document summarizes various JavaScript APIs available for building web applications. It discusses APIs for files, images, video, fullscreen, camera, WebRTC, pointer lock, web storage, IndexedDB, battery status, telephony, SMS, vibration, and more. The goal is to provide developers capabilities for building rich applications that interact with the user's device.
Java 7 Launch Event at LyonJUG, Lyon France. Fork / Join framework and Projec...julien.ponge
The document discusses new features in Java SE 7 including the Fork/Join framework for parallel programming, language evolutions through Project Coin such as try-with-resources statements, and diamond syntax for generic types which simplifies generic class instance creation. It also covers varargs syntax simplification and restrictions on using diamond syntax with anonymous inner classes.
The document discusses JavaScript objects and functions. It explains that JavaScript objects are collections of name-value pairs similar to dictionaries. Functions in JavaScript are objects that support function call operations. The document also covers constructor functions, prototypes, closures, and namespaces in JavaScript.
Javascript uses prototypal inheritance rather than classical inheritance. In prototypal inheritance, objects inherit directly from other objects by using the object's prototype property. The prototype property allows objects to inherit methods and properties from other objects. When accessing a property on an object, Javascript will search the prototype chain to find the property if it is not present on the object itself. This allows code reuse through prototype chaining. The prototype property of a function sets the prototype of objects created with that function.
The document discusses Java SE 7 features including Project Coin, NIO.2, invokedynamic, and Fork/Join framework. It provides examples of using try-with-resources to automatically close resources without finally blocks, and using the Fork/Join framework to easily parallelize tasks by splitting work, forking subtasks, and joining results.
The document discusses new features in Java SE 7 including Project Coin, NIO.2, invokedynamic, and try-with-resources. It also covers concurrency topics such as fork/join, executors, and synchronization patterns. Examples are provided for using fork/join tasks to sum arrays in parallel and the try-with-resources statement to ensure stream resources are closed automatically.
The document discusses new features in Java SE 7 including Project Coin, NIO.2, invokedynamic, and improvements to concurrency including fork/join frameworks. It covers threading concepts like wait, notify, and synchronization. Examples are provided showing the use of fork/join pools to parallelize tasks like summing arrays and counting words in files and folders.
An introduction on testing Node.js code.
Covers frontend (UI) testing, backend unit tests and code coverage.
Also mentions how to use a Makefile to run frontend and backend tests at the same time.
This document summarizes new features and enhancements in Java 7 including Project Coin, NIO.2, invokedynamic, Fork/Join framework, and concurrency utilities. It discusses how these features make threads, parallelism, and concurrency easier to work with in Java. Code examples are provided to illustrate the use of ForkJoinPool, Callable, and try-with-resources statements.
The document discusses JavaScript and some of its key features:
- JavaScript is the programming language of the web browser and was originally developed by Netscape under different names before being standardized.
- JavaScript uses a prototypal object model instead of classes, with objects inheriting directly from other objects via prototypal inheritance chains rather than from classes.
- The "new" keyword is used to create objects but can give the misleading impression of classes; functions can also be used to create objects without "new" by returning the object.
JavaScript - i och utanför webbläsaren (2010-03-03)Anders Jönsson
This document provides an overview of JavaScript concepts including variables, data types, objects, functions, conditionals, loops, callbacks, prototypes, this keyword, scope, closures, events, DOM manipulation, and asynchronous programming. It includes code examples to demonstrate these concepts such as defining variables, creating and accessing objects and their properties, writing functions with parameters and return values, if/else statements, for loops, and using callbacks with asynchronous functions.
Talk was presented at PGConfUS on April 20th, 2016.
___________
With features like foreign data wrappers, Postgres makes it easy for you to integrate rich data stores into your application architectures. Yet sometimes you only have a few rich data structures to deal with, or can’t afford the time and resource cost of running a NoSQL cluster alongside Postgres. Happily Postgres natively supports several document data formats, giving you the best of both worlds in one database. You can keep document oriented data solely within Postgres, or write a foreign table schema that’s naturally compatible with your document database.
At this talk you’ll learn how to access document data stored in Postgres, and write Ruby code to make use of the data with your favorite ORM. We’ll survey the various document stores which are natively supported in Postgres. You’ll learn what are the pros and cons of each data type, and come away understanding which use cases are best suited to each document store.
The document discusses the beauty of JavaScript and its many features. It covers how JavaScript offers classless object-oriented programming and functional programming. It also discusses how JavaScript can run on both the client-side and server-side. The document provides examples of JavaScript syntax like variables, functions, objects, inheritance through prototypes, and AJAX requests. It emphasizes how libraries help create abstractions and beautiful patterns in JavaScript code.
Similar to Coding using jscript test complete (20)
This document provides a light-hearted look at Viresh Doshi's top 10 DevOps terms for 2018 and alternative meanings for them. It discusses terms like immutable infrastructure, idempotent, baked-in, the cloud, blobs, REST, containers, CI/CD, elastic, and tech debt. For each term, it suggests confusing or mixing it up with other concepts like pets, cows, cats, baked beans, daydreaming, Mr. Blobby, having a snooze, shipping containers, OCD, and elastic bands. The document is meant to be an amusing refresher on DevOps concepts.
The document outlines Viresh Doshi's top 10 Ansible tips based on his experience as a DevOps engineer. The tips include: adding a README to repositories to document purpose; unit testing roles with Molecule; using name and debug modules for readability and troubleshooting; connecting roles to Jenkins CI; using Python virtual environments; templating with Jinja2; ensuring idempotency; using variables consistently; splitting tasks across files; and sharing roles openly. Additional tips are to write modules, use filters, leverage Ansible Galaxy, manage inventories, and enjoy Python and coffee.
Scrum master's role - top 20 challenges Viresh Doshi
The document outlines 21 challenges faced by Scrum Masters, including failing to meet commitments, poor estimations, lack of focus on sprint work, disorganized sprint reviews, low collaboration, insufficient ticket information, frequent scope changes, delivering nothing at the end of sprints, low motivation, reprioritizing features mid-sprint, lack of communication of company strategy and roadmap, inadequate backlog grooming, unclear quality ownership, poor timekeeping, lack of development improvements, teams that do not care about quality, lack of code transparency, insufficient test automation, deficient triage processes, limited DevOps practices, and code not being checked in daily.
This document discusses Gherkin, a language used for behavior-driven development (BDD) testing. It was created in 2009 to be business-readable. Gherkin feature files use a simple syntax with keywords like "Feature", "Scenario", "Given", "When", "Then" to describe tests in a natural language format. The document demonstrates setting up a testing project using Gherkin with Behat and Mink to automate tests for a website by linking feature files to test code.
Devops Journey - internet tech startupViresh Doshi
This document summarizes the experience of a QA consultant working with a tech startup to implement DevOps practices to improve their software development process. The consultant found the startup was stuck in outdated practices from the 1980s, with no automation, poor source control, and manual testing and deployment. The consultant implemented continuous integration using tools like Jenkins, test automation with Behat and Mink, and automated deployment. This eliminated errors, provided visibility, and allowed developers to focus on development. While progress was made, the consultant notes further improvements are still needed, especially adopting better Agile practices.
This document discusses how Jenkins CI was used to automate testing and present results. Jenkins plugins were used to integrate test automation tools, source control from GIT, and present test reports. Continuous testing was enabled by triggering tests on each new build from source control and monitoring test executions and results through the Jenkins dashboard. Tips are provided on optimizing test execution times and frequencies.
The document outlines the agenda for a two-day workshop on capital markets testing hosted by Time2test Limited and Asymilate Limited. The workshop will provide an introduction to capital markets domains, technical skills, and testing skills. It will cover topics such as banking products, trade lifecycles, cash flows, delivery concepts, and derivatives. The agenda includes sessions on the banking domain, technical skills like XML and SQL, and testing skills including test planning and defect resolution.
The document discusses improving collaboration and communication within testing teams. It proposes creating a knowledge base system, such as a knowledge portal or using mind maps, to address issues like information being scattered across emails and documents. A knowledge base would allow information to be centralized, searchable, and accessible to both onshore and offshore team members. It would help new employees get up to speed more quickly and ensure testing data is organized and reusable.
Enhancing Adoption of AI in Agri-food: IntroductionCor Verdouw
Introduction to the Panel on: Pathways and Challenges: AI-Driven Technology in Agri-Food, AI4Food, University of Guelph
“Enhancing Adoption of AI in Agri-food: a Path Forward”, 18 June 2024
Easy Earnings Through Refer and Earn Apps Without KYC.pptxFx Lotus
Learn how to make extra money with refer and earn apps that don’t require KYC. Find out the advantages, top apps, and strategies to boost your earnings quickly and easily.
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L'indice de performance des ports à conteneurs de l'année 2023SPATPortToamasina
Une évaluation comparable de la performance basée sur le temps d'escale des navires
L'objectif de l'ICPP est d'identifier les domaines d'amélioration qui peuvent en fin de compte bénéficier à toutes les parties concernées, des compagnies maritimes aux gouvernements nationaux en passant par les consommateurs. Il est conçu pour servir de point de référence aux principaux acteurs de l'économie mondiale, notamment les autorités et les opérateurs portuaires, les gouvernements nationaux, les organisations supranationales, les agences de développement, les divers intérêts maritimes et d'autres acteurs publics et privés du commerce, de la logistique et des services de la chaîne d'approvisionnement.
Le développement de l'ICPP repose sur le temps total passé par les porte-conteneurs dans les ports, de la manière expliquée dans les sections suivantes du rapport, et comme dans les itérations précédentes de l'ICPP. Cette quatrième itération utilise des données pour l'année civile complète 2023. Elle poursuit le changement introduit l'année dernière en n'incluant que les ports qui ont eu un minimum de 24 escales valides au cours de la période de 12 mois de l'étude. Le nombre de ports inclus dans l'ICPP 2023 est de 405.
Comme dans les éditions précédentes de l'ICPP, la production du classement fait appel à deux approches méthodologiques différentes : une approche administrative, ou technique, une méthodologie pragmatique reflétant les connaissances et le jugement des experts ; et une approche statistique, utilisant l'analyse factorielle (AF), ou plus précisément la factorisation matricielle. L'utilisation de ces deux approches vise à garantir que le classement des performances des ports à conteneurs reflète le plus fidèlement possible les performances réelles des ports, tout en étant statistiquement robuste.
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1. Test Complete Coding
Quick guide to using jScript with Test Complete by SmartBear
2. Create an object/class
function myLogFileObject()
{
this.myPublicObjectArray = [];
var myPrivateObjectArray = [];
var myPrivateCounter = 0;
this.readFunction=function();
return true;
}
}
Why?
Nice way to organize
functions and variables
that represent that object.
How to use?
var myObject
myLogFileObject();
myObject.readFunction();
3. Write to a text file
var objFSO = new ActiveXObject("Scripting.FileSystemObject");
var outFile = objFSO.CreateTextFile(FileNameIncludingPath,
true,false);
outFile.WriteLine("Write me to the file");
outFile.Close();
4. Read a file
var file=fso.OpenTextFile
(fileLocationAndNameGolden,
FileReadOnly);
while (!file.AtEndOfStream){
var line=file.ReadLine();
}
9. Built in Parameters
// Built in Parameters
function ProcessCommandLine(config) {
for (i = 1; i<= BuiltIn.ParamCount();i++){
ProcessCommandLineArgument(BuiltIn.ParamStr(i),config);
}
}
20. Read DOM 6.0 xml
var objXMLDoc =
Sys.OleObject("Msxml2.DOMDocument.6.0");
objXMLDoc.async = false;
objXMLDoc.setProperty("SelectionLanguage","XPath");
var ns= "xmlns:a='http://smpte-ra.
org/schemas/2021/2008/BXF'";
objXMLDoc.setProperty("SelectionNamespaces", ns);
ar AsRunList=objXMLDoc.SelectNodes("//a:AsRun");
21. File functions
var fso = Sys.OleObject("Scripting.FileSystemObject");
var file = fso.GetFile(file_path);
var fol = fso.GetFolder(folder_path);
fol.size
var filesCount = fol.files.Count;
22. Generate XML from object
var docSection = Storages.XML("");
var colFields = aqObject.GetFields(obj, false);
var sec = docSection.GetSubSection(root_name);
24. SQL Server DB
Conn = new ActiveXObject("ADODB.Connection");
var constr= "Provider=SQLOLEDB.1;Data
Source=SERVERN;Initial Catalog=cat1;User
ID=sa;Password=myPassword";
Conn.Open(constr);
var catalogue = new ActiveXObject('ADOX.Catalog');
rs = new ActiveXObject("ADODB.Recordset");
25. Literal Object
Create a simple constructor that contains the fields for that
object
Function User(theParam1){
This.param1 = theParam1;
}
Extend that object using the Literal prototype feature
User.prototype = {
Constructor: User,
Functoin1: function(theParam2){ …
27. Object fields and methods
Var FieldsCol = aqObject.GetFields(Obj);
Iterate through the fields
while ( FieldsCol.HasNext() ){
Log.Message( FieldsCol.Next().Name );
}
Use this to get the methods:
aqObject.GetMethods(Obj);
Editor's Notes
// read xml file
// Now read other test config items from the XML file
objXMLDoc = Sys.OleObject("Msxml2.DOMDocument.6.0");
objXMLDoc.async = false ;
objXMLDoc.setProperty("SelectionLanguage","XPath");
result=objXMLDoc.load(xmlConfigFile);
/*
<ITXConfig>
<TestConfig>
<StartDesktop>False</StartDesktop>
<StopDesktop>False</StopDesktop>
<ClearWorkspace>True</ClearWorkspace>
<KeepLogImages>False</KeepLogImages>
<DelayFactor>100</DelayFactor>
</TestConfig>
</ITXConfig>
*/
// Report an error, if, for instance, the markup || file structure is invalid
if(objXMLDoc.parseError.errorCode != 0){
s = "Reason:" + "\t" + objXMLDoc.parseError.reason + "\r" + "\n" + "Line:" + "\t" + parseInt(objXMLDoc.parseError.line,10) + "\r" + "\n" + "Pos:" + "\t" + parseInt(objXMLDoc.parseError.linePos,10) + "\r" + "\n" + "Source:" + "\t" + objXMLDoc.parseError.srcText
// Post an error to the log && exit
Log.Error("Cannot parse the document." + s);
return false;
}
var xmlTestConfig =objXMLDoc.SelectSingleNode("//TestConfig");
if(xmlTestConfig==null){
return true;
}
var xmlDataStr;
var xmlNode;
/*
// Read the TestConfig items from the xml
xmlNode=xmlTestConfig.selectSingleNode("TestClass");
if(xmlNode != null){
config.testClass=xmlNode.text;
}
*/
xmlNode=xmlTestConfig.selectSingleNode("StartDesktop");
if(xmlNode != null){
xmlDataStr=xmlNode.text;
if(xmlDataStr.toLowerCase() == "true"){
config.startDesktop=true;
}
else if(xmlDataStr.toLowerCase() == "false"){
config.startDesktop=false;
}
}
var xmlTestClass =objXMLDoc.SelectSingleNode("//TestClass");
config.testClass=(xmlTestClass == null)?"iTXAutoTest":xmlTestClass.Text;
xmlTestDescription=objXMLDoc.SelectSingleNode("//TestDescription");
config.scriptComment=(xmlTestDescription == null)?"":xmlTestDescription.Text;
var xmlCommands =objXMLDoc.SelectNodes("//Command");
//Read DOM6. based XML documents
var objXMLDoc = Sys.OleObject("Msxml2.DOMDocument.6.0");
objXMLDoc.async = false;
objXMLDoc.setProperty("SelectionLanguage","XPath");
// We need to do this because DOM6.0 is stricter about security and requires a namespace resolution
// By delaring an alias to the namespace here in the properties then we can use the alias (a:) in subsequent selects rather than the full namespace string
var ns= "xmlns:a='http://smpte-ra.org/schemas/2021/2008/BXF'";
objXMLDoc.setProperty("SelectionNamespaces", ns);
var result=objXMLDoc.load(latestAsRunLogFileFullPath);
// Report an error, if, for instance, the markup || file structure is invalid
if(objXMLDoc.parseError.errorCode != 0){
var s = "[bxf_GetCountAsRunEvents]Reason:\t" + objXMLDoc.parseError.reason + "\r\n" + "Line:\t" + objXMLDoc.parseError.line + "\r\n" + "Pos:\t" + objXMLDoc.parseError.linePos + "\r\n" + "Source:\t" + objXMLDoc.parseError.srcText;
// Post an error to the log && exit
Log.Error("Cannot parse the document." + s)
return -1;
}
var AsRunList=objXMLDoc.SelectNodes("//a:AsRun");
//Get size of filefunction getSizeOfFile(file_path)
{
var fso = Sys.OleObject("Scripting.FileSystemObject");
var file = fso.GetFile(file_path);
return file.Size;
}
function getNameOfFile(strPath)
{
var rev = strPath.split("").reverse().join("");
var dotIndex = rev.indexOf("");
var ret = rev.substr(dotIndex, rev.indexOf("\\") - dotIndex);
var arr = ret.split("").reverse().join("").split(".");
return arr[0];
}
function getSizeOfFolder(folder_path)
{
var fso = Sys.OleObject("Scripting.FileSystemObject");
var fol = fso.GetFolder(folder_path);
return fol.Size;
}
function getNoFilesInFolder(folder_path)
{
var fso = Sys.OleObject("Scripting.FileSystemObject");
var fol = fso.GetFolder(folder_path);
var filesCount = fol.files.Count;
return filesCount;
}
// generate XML from OBject Fields
function generateXMLFromObjectFields(obj, root_name, save_path)
{
//Check that the object isn't null
if (obj == null) throw "Null object passed to generateXMLFromObjectFields";
//Get all Fields of the Object
var colFields = aqObject.GetFields(obj, false);
//Create a new XML document by passing a blank string as the filepath
var docSection = Storages.XML("");
//Create the root node
var sec = docSection.GetSubSection(root_name);
//insert the date
sec.SetOption("Date", aqDateTime.Now());
//Create a child node
var subSec = sec.GetSubSection("ObjectData");
//Write all fields in the object to the child node
while (colFields.HasNext())
{
var item = colFields.Next();
if(item.Name != "XMLWriteNested")
{
if(IsArray(item.Value))
{
// var arr = item.Value;
// var str = "";
// for(var i = 0; i < arr.length; i++)
// {
// str += arr[i] + "|";
// }
subSec.SetOption(item.Name, item.Value);
}
else if(GetVarType(item.Value) == 9)
{
if(IsSupported(item.Value, "OleValue"))
{
subSec.SetOption(item.Name, item.Value.OleValue);
}
else if(IsSupported(obj, "XMLWriteNested"))
{
//insert logic here.
}
else
{
subSec.SetOption(item.Name, item.Value);
}
}
else
{
subSec.SetOption(item.Name, item.Value);
}
}
}
//Save the document to the passed filepath
docSection.SaveAs(save_path);
}
//dot.NET sockets UDP
// Send Command and Comment to monitor app..
function MonitorMessage(Command,Comment)
{
var address, port, socket, broadcast, endpoint, byteType,
binaryData, maxLength, sendbuf;
var binaryRxData;
var MonitorAddress=Project.Variables.MonitorAddress;
var MonitorPort=Project.Variables.MonitorPort;
if(MonitorAddress==null || MonitorAddress=="" || MonitorPort==null || MonitorPort==0) {
return false;
}
socket = dotNET.System_Net_Sockets.Socket.zctor(
dotNET.System_Net_Sockets.AddressFamily.InterNetwork,
dotNET.System_Net_Sockets.SocketType.Dgram,
dotNET.System_Net_Sockets.ProtocolType.Udp);
broadcast = dotNET.System_Net.IPAddress.Parse(MonitorAddress);
endpoint = dotNET.System_Net.IPEndPoint.zctor_2(broadcast, MonitorPort);
byteType = dotNET.System.Type.GetType("System.Byte");
binaryData = dotNET.System_Text.Encoding.ASCII.GetBytes_2(Command + "|" + Comment);
socket.SendTo(binaryData, endpoint);a
}
function MonitorProgress (progressStr)
{
MonitorMessage("MonitorProgress",progressStr);
}
function MonitorEnd ()
{
// Don;t shut down remote monitors.. (i.e. if we didn;t start it locally)
// Check if monitor has been specified in project variables
var MonitorAppPath=Project.Variables.MonitorAppPath;
if(MonitorAppPath==null || MonitorAppPath=="") {
return false;
}
MonitorMessage("MonitorEnd","");
}
function MonitorTitle (titleStr)
{
MonitorMessage("MonitorTitle",titleStr);
}
function test_DelayCountdownWithProgressMonitor(){
ret=DelayCountdownWithProgressMonitor(3000);
}
function DelayCountdownWithProgressMonitor(milliSecs)
{
var delay = milliSecs/1000;
var countdown = 0;
while( countdown < delay ){
aqUtils.Delay(1000);
MonitorProgress("Pausing for " + delay + " secs.." + (delay-countdown));
countdown++;
}
return;
}
function TestADO()
{
var Conn, Rs, Fldr;
//Fldr = Log.CreateFolder("Authors table");
//Log.PushLogFolder(Fldr);
// Creates and opens a connection
try
{
Conn = new ActiveXObject("ADODB.Connection");
var constr= "Provider=SQLOLEDB.1;Data Source=SVRQA1116;Initial Catalog=itx;User ID=sa;Password=Omn1bu51tx";
Log.Message("Provider defult=" + Conn.Provider);
// Conn.ConnectionString = constr;
Conn.Open(constr);
}
catch(err)
{
Log.Error(err.description);
return false;
}
var catalogue = new ActiveXObject('ADOX.Catalog');
catalogue.ActiveConnection = Conn;
for(var i = 0; i < catalogue.Tables.Count; i++)
{
var tab = catalogue.Tables.item(i);
for(var j = 0; j < tab.Columns.Count; j++)
{
Log.Message(tab.Name + " : " + tab.Columns.item(j).Name);
}
}
Conn.Close();
// // Creates and opens a recordset
// Rs = new ActiveXObject("ADODB.Recordset");
// //Rs.Open("Authors", Conn, 3 /* adOpenStatic */,
// //1 /* adLockReadOnly */, 2 /* adCmdTable */);
//
// // Processes data
// Rs.MoveFirst();
//
// while(!Rs.EOF)
// {
// Log.Message(Rs.Fields.Item("Author").Value);
// Rs.MoveNext();
// }
//
// // Closes the recordset and connection
// Rs.Close();
}
function getDataFromDB(strQuery)
{
var conn = new ActiveXObject("ADODB.Connection");
var connStr = "Provider=SQLOLEDB.1;Data Source=SVRQA1116;Initial Catalog=itx;User ID=sa;Password=Omn1bu51tx";
try
{
conn.Open(connStr);
}
catch (err)
{
Log.Error('Cannot open connection to database');
return;
}
var rs = new ActiveXObject("ADODB.Recordset");
try
{
rs.Open(strQuery, conn);
}
catch (err)
{
conn.Close();
throw err;
}
var res = [];
if(!rs.EOF)
{
rs.MoveFirst();
var titles = [];
for(var i = 0; i < rs.Fields.Count; i++)
{
titles.push(rs.Fields(i).Name);
}
res.push(titles);
while(!rs.EOF)
{
var row = []
for(var i = 0; i < rs.Fields.Count; i++)
{
row.push(rs.Fields(i).Value);
}
res.push(row);
rs.MoveNext();
}
}
rs.Close();
conn.Close();
return res;
}
function recordExistsInDB(strAssetName, strType)
{
var table = "";
var column = "";
switch(strType.toUpperCase())
{
case 'VIDEO':
table = "Opus_VideoClip_VCP";
column = "VCP_Name"
break;
case 'AUDIO':
table = "Opus_AudioClip_ACP";
column = "ACP_Name"
break;
case 'LOGO':
table = "Opus_Logo_LGO";
column = "VCP_Name"
break;
case 'GRAPHICS':
table = "Opus_Graphic_GFX";
column = "VCP_Name"
break;
case 'SCHEDULE':
table = "Opus_Schedule_SCH";
column = "VCP_Name"
break;
default:
var err = new Error();
err.description = "could not resolve type string " + strType + ". Valid options are 'video', 'audio', 'logo', 'graphics' and 'schedule'.";
throw err
}
var strQuery = "SELECT 1 FROM [ITX].[dbo].[" + table + "] WHERE [" + column + "] = '" + strAssetName + "'"
var conn = new ActiveXObject("ADODB.Connection");
var connStr = "Provider=SQLOLEDB.1;Data Source=SVRQA1116;Initial Catalog=itx;User ID=sa;Password=Omn1bu51tx";
try
{
conn.Open(connStr);
}
catch (err)
{
Log.Error('Cannot open connection to database');
return;
}
var rs = new ActiveXObject("ADODB.Recordset");
try
{
rs.Open(strQuery, conn);
}
catch (err)
{
conn.Close();
throw err;
}
var exists = !rs.EOF
rs.Close();
conn.Close();
return exists;
}
function DB_GetVideoAssetData(strAssetName)
{
return getDataFromDB("SELECT * FROM [ITX].[dbo].[Opus_VideoClip_VCP] WHERE [VCP_Name] = '" + strAssetName + "'");
}
function DB_GetAudioAssetData(strAssetName)
{
return getDataFromDB("SELECT * FROM [ITX].[dbo].[Opus_AudioClip_ACP] WHERE [ACP_Name] = '" + strAssetName + "'");
}
function DB_GetLogoAssetData(strAssetName)
{
return getDataFromDB("SELECT * FROM [ITX].[dbo].[Opus_Logo_LGO] WHERE [LGO_Name] = '" + strAssetName + "'");
}
function DB_GetGraphicsAssetData(strAssetName)
{
return getDataFromDB("SELECT * FROM [ITX].[dbo].[Opus_Graphic_GFX] WHERE [GFX_Name] = '" + strAssetName + "'");
}
function DB_GetScheduleAssetData(strAssetName)
{
return getDataFromDB("SELECT * FROM [ITX].[dbo].[Opus_Schedule_SCH] WHERE [SCH_Name] = '" + strAssetName + "'");
}
function tstDBAccess()
{
var a = DB_GetVideoAssetData('AET-CMAP-000236');
var b = DB_GetAudioAssetData('BNE015_2');
var c = DB_GetGraphicsAssetData('20th_Century_Fox');
var d = DB_GetLogoAssetData('20th_Century_Fox');
var e = DB_GetScheduleAssetData('SVRQA1117');
e;
}
function tstdoesExist()
{
var s = recordExistsInDB('BNE015_1', 'audio');
}
http://blog.pluralsight.com/the-prototype-pattern-structuring-javascript-code-part-ii
http://javascriptissexy.com/oop-in-javascript-what-you-need-to-know/?WPACFallback=1&WPACRandom=1418040605766
Implementation of Combination Constructor/Prototype Pattern
The User Function:
I will explain each line.
function User (theName, theEmail) {
this.name = theName;
this.email = theEmail;
this.quizScores = [];
this.currentScore = 0;
}
User.prototype = {
constructor: User,
saveScore:function (theScoreToAdd) {
this.quizScores.push(theScoreToAdd)
},
showNameAndScores:function () {
var scores = this.quizScores.length > 0 ? this.quizScores.join(",") : "No Scores Yet";
return this.name + " Scores: " + scores;
},
changeEmail:function (newEmail) {
this.email = newEmail;
return "New Email Saved: " + this.email;
}
}
Make Instances of the User function
// A User
firstUser = new User("Richard", "Richard@examnple.com");
firstUser.changeEmail("RichardB@examnple.com");
firstUser.saveScore(15);
firstUser.saveScore(10);
firstUser.showNameAndScores(); //Richard Scores: 15,10
// Another User
secondUser = new User("Peter", "Peter@examnple.com");
secondUser.saveScore(18);
secondUser.showNameAndScores(); //Peter Scores: 18
function GettingObjectProperties(Obj)
{
// Obtains the fields collection
var FieldsCol = aqObject.GetFields(Obj);
Log.Message("The fields are:");
// Posts the fields names to the test log
while ( FieldsCol.HasNext() ){
Log.Message( FieldsCol.Next().Name );
}
// Obtains the collection of methods
var colMethods = aqObject.GetMethods(Obj);
Log.Message("The methods are:");
while (colMethods.HasNext()){
Log.Message(colMethods.Next().Name);
}
}