This document provides an introduction and overview of various testing capabilities in SOAPUI, including:
- Protocol-oriented test steps for SOAP, REST, and JDBC requests
- Flow control test steps like properties, delays, scripts, and manual steps
- Using properties to transfer data between requests
- Adding assertions to validate test results
- Delay steps to control test flow timing
- Manual test steps to add human validation
- Data-oriented test steps for using data sources, loops, sinks, and generators
It includes exercises for hands-on practice with many of these features.
This document provides an introduction to building test cases in SOAPUI, including how to create test suites and cases, add different types of test steps like SOAP and REST requests, parameterize test data from text files, Excel sheets or databases, and run test cases with data loops to iterate through multiple data values. It demonstrates setting up an internal data source with sample data, mapping test case inputs and expected results to data source columns, adding assertions to validate responses, and running the test case in a loop.
A method of communicating between two devices
A software function provided at a network address over the web with the service always on
It has an interface described in a machine-processable format
http://www.qualitestgroup.com/
- The document provides an introduction to using SoapUI to test web services. It discusses creating a project, adding a WSDL, and exploring the different components such as requests, responses, and endpoints. It also demonstrates how to submit sample requests using a currency conversion web service WSDL and view the responses. The overall goal is to help attendees understand the basics of setting up and using SoapUI to test web services.
This document provides an overview of Force.com Batch Apex, which allows processing of large data sets asynchronously by splitting the data into batches that are processed sequentially. Key aspects covered include the batchable interface with start, execute, and finish methods; splitting data into transactions of up to 200 records each; monitoring and error handling; making batches stateful; using query locators or iterables; testing and scheduling batches; and limitations of batch apex.
The document discusses challenges with testing SQL code and introduces tSQLt, an open source framework for unit testing Transact-SQL code. tSQLt allows writing unit tests in T-SQL, runs tests in isolated transactions, and provides tools to isolate dependencies like faking tables and spying on stored procedures. The document demonstrates how to install tSQLt and use it to test functions and stored procedures. It also outlines some limitations of tSQLt and provides further reading on the topic.
Refactoring Legacy Web Forms for Test AutomationStephen Fuqua
THE CHALLENGE:
Given you understand the value of test automation.
Given you are handed a legacy application to maintain and enhance
Given the application is in ASP.Net Web Forms
When you try to add tests
Then you find that test-driven development is literally impossible.
Salesforce provides an interface for testing callouts named HttpCalloutMock used to cover remote callouts. While adequate for simple callouts, in the real world you often need something more flexible, as in the case of multiple and varying responses from the same or varying endpoints. More precise testing and coverage can be obtained by extending the standard interface. Join us as we demonstrate a solution to use to enable the flexibility required for complex integration and synchronization apps.
This document provides an introduction to building test cases in SOAPUI, including how to create test suites and cases, add different types of test steps like SOAP and REST requests, parameterize test data from text files, Excel sheets or databases, and run test cases with data loops to iterate through multiple data values. It demonstrates setting up an internal data source with sample data, mapping test case inputs and expected results to data source columns, adding assertions to validate responses, and running the test case in a loop.
A method of communicating between two devices
A software function provided at a network address over the web with the service always on
It has an interface described in a machine-processable format
http://www.qualitestgroup.com/
- The document provides an introduction to using SoapUI to test web services. It discusses creating a project, adding a WSDL, and exploring the different components such as requests, responses, and endpoints. It also demonstrates how to submit sample requests using a currency conversion web service WSDL and view the responses. The overall goal is to help attendees understand the basics of setting up and using SoapUI to test web services.
This document provides an overview of Force.com Batch Apex, which allows processing of large data sets asynchronously by splitting the data into batches that are processed sequentially. Key aspects covered include the batchable interface with start, execute, and finish methods; splitting data into transactions of up to 200 records each; monitoring and error handling; making batches stateful; using query locators or iterables; testing and scheduling batches; and limitations of batch apex.
The document discusses challenges with testing SQL code and introduces tSQLt, an open source framework for unit testing Transact-SQL code. tSQLt allows writing unit tests in T-SQL, runs tests in isolated transactions, and provides tools to isolate dependencies like faking tables and spying on stored procedures. The document demonstrates how to install tSQLt and use it to test functions and stored procedures. It also outlines some limitations of tSQLt and provides further reading on the topic.
Refactoring Legacy Web Forms for Test AutomationStephen Fuqua
THE CHALLENGE:
Given you understand the value of test automation.
Given you are handed a legacy application to maintain and enhance
Given the application is in ASP.Net Web Forms
When you try to add tests
Then you find that test-driven development is literally impossible.
Salesforce provides an interface for testing callouts named HttpCalloutMock used to cover remote callouts. While adequate for simple callouts, in the real world you often need something more flexible, as in the case of multiple and varying responses from the same or varying endpoints. More precise testing and coverage can be obtained by extending the standard interface. Join us as we demonstrate a solution to use to enable the flexibility required for complex integration and synchronization apps.
This document provides an overview of data flow basics in SQL Server Integration Services (SSIS). It discusses the data flow task, pipeline architecture, various data sources including ADO.NET, Excel, flat file, OLE DB, XML, and raw file sources. It also covers data destinations such as OLE DB, DataReader, Excel, flat file, and SQL Server destinations. Finally, it reviews Analysis Services destinations for dimension processing and partition processing and includes demos of various sources and destinations.
Query processing in forms involves firing pre-query and post-query triggers. A pre-query trigger fires before a query executes and can be used to check or modify query conditions. A post-query trigger fires for each fetched record and can be used to populate additional items and perform calculations. Where clauses from multiple sources are combined with AND and order by clauses are prioritized.
This document discusses methods for tuning Oracle Warehouse Builder (OWB) mappings and flows by leveraging existing Oracle tuning expertise. It describes monitoring OWB runtime data and analyzing specific mapping/process flows to identify tuning candidates. The overall methodology involves determining candidates, generating diagnostic information, performing typical Oracle tuning, adjusting the OWB solution, and testing. Specific steps are outlined for enabling tracing on mappings, collecting trace files, and using tools like TKPROF to analyze the files and identify opportunities for tuning mappings and overall flows.
The document discusses how to get an ApplicationContext in Spring Framework in 3 main ways - from Java configuration, XML configuration, and programmatically. It also lists examples of using the ApplicationContext in basic dependency injection, web applications, and test code.
The document discusses different types of targets in Oracle Warehouse Builder (OWB), including target schemas, files, and workflows. Targets represent physical implementations of objects and mappings. They are controlled by the runtime repository. Targets have logical modules, logical locations, and physical locations defined in OWB's design and runtime environments. Connectors provide inter-module access and usually use schema resolution or database links. Security permissions must be set externally for interactions between targets.
The document provides an overview of the OpenNTF Domino API (ODA). It discusses what the ODA is, how to set it up and implement it, considerations for using it, and provides examples. Specifically:
- The ODA is an open source project that fills gaps and enhances Java capabilities for Domino. It consists of packages that can be installed as an OSGi plugin on Domino servers.
- Setup involves importing the ODA into an update site NSF, adding it to the server startup, and preparing Domino Designer.
- Other considerations include logging, transactions, views, documents, dates, and graphs.
- Examples shown include session handling, view handling,
This document summarizes different types of tests for Spring Boot applications, including unit tests, integration tests, and sliced tests. It discusses tools for mocking dependencies like MockRestServiceServer, Testcontainers for integration with Docker, and annotations like @MockBean and @SpyBean. Context caching, properties, and dirty context handling are also covered. The document concludes with an upcoming talk on JUnit 5.
Exciting Features for SQL Devs in SQL 2012Brij Mishra
SQL 2012 includes several new features for SQL developers including contained databases, columnstore indexes, sequence objects, data paging improvements, and new analytic functions like LEAD() and LAG(). It also enhances Transact-SQL with new conversion, date/time and logical functions and improves metadata discovery and error handling. Visual Studio integration is also improved with tighter management studio integration.
This document discusses test automation and provides an overview of various topics related to automated testing including:
1. The presenter provides an introduction and agenda which includes discussing the testing pyramid, automated vs manual testing, return on investment for test automation, and popular test automation tools.
2. Popular automation tools that are discussed include HP UFT, TestComplete, Selenium, and Cucumber. Methodologies like keyword driven testing and data driven testing are also covered.
3. Setting up an automation testing framework is also addressed, and behavior driven development with tools like Cucumber and Thucydides is explained.
4. To conclude, the presenter provides additional resources for learning more about test automation and gives examples
From the Trenches: Effectively Scaling Your Cloud Infrastructure and Optimizi...Allan Mangune
Decks I used in my previous presentation at Softcon. I shared you my experience on how to design a cloud infrastructure that easily scales; and optimize your database objects and write your SQL code for speed.
This document provides an overview of Oracle Warehouse Builder (OWB) basics including its applicability, architecture, client/server model, and product installation process. It discusses how OWB can be used to integrate distributed and heterogeneous data from various applications and databases into a data warehouse to improve decision making. The document also briefly covers OWB's embedded ETL engine architecture, its client and server components, and the simple installation steps which include selecting an installation directory and Oracle home. It emphasizes installing the client and server components into separate Oracle homes.
This document provides an overview of SQLT XPLORE, a free SQL tuning tool from Oracle that discovers multiple execution plans for a SQL statement by iterating over CBO parameters and optimizer fixes. It can be used to analyze SQL performance regressions after upgrades, find better performing plans, and diagnose query transformation errors. The tool takes a SQL script as input and outputs an HTML report, SQL Monitor data, and execution logs showing the plans found for each parameter combination tested.
Building Quality with Foundations of Mudseleniumconf
This document discusses strategies for improving test environments and test data to better match production environments. It recommends empowering developers to take full responsibility for testing from specification to deployment. Tests should run quickly and have a low tolerance for intermittent failures. Where parts of the system are difficult to test, techniques like stubs can be used to isolate those components for improved testability and reliability, while still achieving near 100% coverage of core and interface logic. Live integration tests against the full system should be kept to a minimum due to general flakiness.
This document discusses servlets in Java. It defines servlets as Java classes that extend capabilities of servers by responding to requests. Servlets can process or store submitted data, provide dynamic content like database results, and manage state information in HTTP. The document outlines the servlet lifecycle and different servlet classes like GenericServlet and HttpServlet. It also describes servlet request and response objects and common methods used to access client information and send responses.
A Spring Batch bootcamp! Spring Batch is the open source batch processing framework from SpringSource, makes of the Spring framework. http://www.springsource.org/spring-batch
Java 8 introduced several new features to the language including lambda expressions, default methods in interfaces, and static methods in interfaces. It also improved existing areas such as collections, date/time handling, concurrency, and I/O. Significant under-the-hood changes included replacing PermGen with Metaspace for class metadata and enabling AES encryption on newer CPUs.
In this presentation we will examine various scalability options in order to improve the robustness and performance of your Spring Batch applications. We start out with a single threaded Spring Batch application that we will refactor so we can demonstrate how to run it using:
* Concurrent Steps
* Remote Chunking
* AsyncItemProcessor and AsyncItemWriter
* Remote Partitioning
Additionally, we will show how you can deploy Spring Batch applications to Spring XD which provides high availability and failover capabilities. Spring XD also allows you to integrate Spring Batch applications with other Big Data processing needs.
Hibernate Performance Tuning, presented on JEEConf 2012, Kiev, Ukraine.
Also see: http://branchandbound.net/blog/conferences/2012/05/jeeconf-tripreport/
Adaptation of presentation at http://www.slideshare.net/SanderMak/hibernate-performance-tuning
This document provides an introduction to working with different types of test steps in SOAPUI, including protocol-oriented test steps for SOAP and REST requests, flow control test steps, properties, data-oriented test steps using data sources and data sinks, and exercises for practicing with these step types. It covers creating and configuring REST projects using URIs, WADLs, and service discovery in SOAPUI.
This document provides an introduction to SOAPUI, including how to add different types of assertions to test steps to validate responses. It discusses contains/not contains assertions, SOAP/non-SOAP requests, faults, response time limits, XPath matching, and more. It also covers using Groovy scripts to manipulate tests and responses, refactoring WSDLs, and organizing projects using workspaces and environments.
This document provides an overview of data flow basics in SQL Server Integration Services (SSIS). It discusses the data flow task, pipeline architecture, various data sources including ADO.NET, Excel, flat file, OLE DB, XML, and raw file sources. It also covers data destinations such as OLE DB, DataReader, Excel, flat file, and SQL Server destinations. Finally, it reviews Analysis Services destinations for dimension processing and partition processing and includes demos of various sources and destinations.
Query processing in forms involves firing pre-query and post-query triggers. A pre-query trigger fires before a query executes and can be used to check or modify query conditions. A post-query trigger fires for each fetched record and can be used to populate additional items and perform calculations. Where clauses from multiple sources are combined with AND and order by clauses are prioritized.
This document discusses methods for tuning Oracle Warehouse Builder (OWB) mappings and flows by leveraging existing Oracle tuning expertise. It describes monitoring OWB runtime data and analyzing specific mapping/process flows to identify tuning candidates. The overall methodology involves determining candidates, generating diagnostic information, performing typical Oracle tuning, adjusting the OWB solution, and testing. Specific steps are outlined for enabling tracing on mappings, collecting trace files, and using tools like TKPROF to analyze the files and identify opportunities for tuning mappings and overall flows.
The document discusses how to get an ApplicationContext in Spring Framework in 3 main ways - from Java configuration, XML configuration, and programmatically. It also lists examples of using the ApplicationContext in basic dependency injection, web applications, and test code.
The document discusses different types of targets in Oracle Warehouse Builder (OWB), including target schemas, files, and workflows. Targets represent physical implementations of objects and mappings. They are controlled by the runtime repository. Targets have logical modules, logical locations, and physical locations defined in OWB's design and runtime environments. Connectors provide inter-module access and usually use schema resolution or database links. Security permissions must be set externally for interactions between targets.
The document provides an overview of the OpenNTF Domino API (ODA). It discusses what the ODA is, how to set it up and implement it, considerations for using it, and provides examples. Specifically:
- The ODA is an open source project that fills gaps and enhances Java capabilities for Domino. It consists of packages that can be installed as an OSGi plugin on Domino servers.
- Setup involves importing the ODA into an update site NSF, adding it to the server startup, and preparing Domino Designer.
- Other considerations include logging, transactions, views, documents, dates, and graphs.
- Examples shown include session handling, view handling,
This document summarizes different types of tests for Spring Boot applications, including unit tests, integration tests, and sliced tests. It discusses tools for mocking dependencies like MockRestServiceServer, Testcontainers for integration with Docker, and annotations like @MockBean and @SpyBean. Context caching, properties, and dirty context handling are also covered. The document concludes with an upcoming talk on JUnit 5.
Exciting Features for SQL Devs in SQL 2012Brij Mishra
SQL 2012 includes several new features for SQL developers including contained databases, columnstore indexes, sequence objects, data paging improvements, and new analytic functions like LEAD() and LAG(). It also enhances Transact-SQL with new conversion, date/time and logical functions and improves metadata discovery and error handling. Visual Studio integration is also improved with tighter management studio integration.
This document discusses test automation and provides an overview of various topics related to automated testing including:
1. The presenter provides an introduction and agenda which includes discussing the testing pyramid, automated vs manual testing, return on investment for test automation, and popular test automation tools.
2. Popular automation tools that are discussed include HP UFT, TestComplete, Selenium, and Cucumber. Methodologies like keyword driven testing and data driven testing are also covered.
3. Setting up an automation testing framework is also addressed, and behavior driven development with tools like Cucumber and Thucydides is explained.
4. To conclude, the presenter provides additional resources for learning more about test automation and gives examples
From the Trenches: Effectively Scaling Your Cloud Infrastructure and Optimizi...Allan Mangune
Decks I used in my previous presentation at Softcon. I shared you my experience on how to design a cloud infrastructure that easily scales; and optimize your database objects and write your SQL code for speed.
This document provides an overview of Oracle Warehouse Builder (OWB) basics including its applicability, architecture, client/server model, and product installation process. It discusses how OWB can be used to integrate distributed and heterogeneous data from various applications and databases into a data warehouse to improve decision making. The document also briefly covers OWB's embedded ETL engine architecture, its client and server components, and the simple installation steps which include selecting an installation directory and Oracle home. It emphasizes installing the client and server components into separate Oracle homes.
This document provides an overview of SQLT XPLORE, a free SQL tuning tool from Oracle that discovers multiple execution plans for a SQL statement by iterating over CBO parameters and optimizer fixes. It can be used to analyze SQL performance regressions after upgrades, find better performing plans, and diagnose query transformation errors. The tool takes a SQL script as input and outputs an HTML report, SQL Monitor data, and execution logs showing the plans found for each parameter combination tested.
Building Quality with Foundations of Mudseleniumconf
This document discusses strategies for improving test environments and test data to better match production environments. It recommends empowering developers to take full responsibility for testing from specification to deployment. Tests should run quickly and have a low tolerance for intermittent failures. Where parts of the system are difficult to test, techniques like stubs can be used to isolate those components for improved testability and reliability, while still achieving near 100% coverage of core and interface logic. Live integration tests against the full system should be kept to a minimum due to general flakiness.
This document discusses servlets in Java. It defines servlets as Java classes that extend capabilities of servers by responding to requests. Servlets can process or store submitted data, provide dynamic content like database results, and manage state information in HTTP. The document outlines the servlet lifecycle and different servlet classes like GenericServlet and HttpServlet. It also describes servlet request and response objects and common methods used to access client information and send responses.
A Spring Batch bootcamp! Spring Batch is the open source batch processing framework from SpringSource, makes of the Spring framework. http://www.springsource.org/spring-batch
Java 8 introduced several new features to the language including lambda expressions, default methods in interfaces, and static methods in interfaces. It also improved existing areas such as collections, date/time handling, concurrency, and I/O. Significant under-the-hood changes included replacing PermGen with Metaspace for class metadata and enabling AES encryption on newer CPUs.
In this presentation we will examine various scalability options in order to improve the robustness and performance of your Spring Batch applications. We start out with a single threaded Spring Batch application that we will refactor so we can demonstrate how to run it using:
* Concurrent Steps
* Remote Chunking
* AsyncItemProcessor and AsyncItemWriter
* Remote Partitioning
Additionally, we will show how you can deploy Spring Batch applications to Spring XD which provides high availability and failover capabilities. Spring XD also allows you to integrate Spring Batch applications with other Big Data processing needs.
Hibernate Performance Tuning, presented on JEEConf 2012, Kiev, Ukraine.
Also see: http://branchandbound.net/blog/conferences/2012/05/jeeconf-tripreport/
Adaptation of presentation at http://www.slideshare.net/SanderMak/hibernate-performance-tuning
This document provides an introduction to working with different types of test steps in SOAPUI, including protocol-oriented test steps for SOAP and REST requests, flow control test steps, properties, data-oriented test steps using data sources and data sinks, and exercises for practicing with these step types. It covers creating and configuring REST projects using URIs, WADLs, and service discovery in SOAPUI.
This document provides an introduction to SOAPUI, including how to add different types of assertions to test steps to validate responses. It discusses contains/not contains assertions, SOAP/non-SOAP requests, faults, response time limits, XPath matching, and more. It also covers using Groovy scripts to manipulate tests and responses, refactoring WSDLs, and organizing projects using workspaces and environments.
This document provides an overview of API testing and web services protocols. It discusses XML, SOAP, REST, and introduces the tool SoapUI for testing web services. Key points include:
1. XML is used to transport and store data on the web. It has elements, attributes, and syntax rules. XML Namespaces avoid element name conflicts.
2. SOAP is a protocol for accessing web services. It uses XML, includes envelope, header and body elements. WSDL describes SOAP web services operations.
3. REST services use HTTP to manipulate resources via operations like GET, PUT, POST and DELETE. It can output JSON, XML and is language/platform independent.
4.
The document discusses secrets and best practices for optimizing the performance of an OLTP system. It describes how the speaker's team was able to reduce response times by 50% through focused tuning of the application to database interface. Some techniques that helped include identifying redundant database calls, reducing round trips by passing data in arrays, processing data in bulk using INSERT statements, and returning less unused data. The document provides recommendations for locking strategies, using JDBC features like arrays and batching, and setting the optimal row prefetch.
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...Precisely
Ready to improve efficiency, provide easy to use data automations and take materials master (MM) data maintenance to the next level?
Find out how during our Automate Studio training on March 28 – led by Sigrid Kok, Principal Sales Engineer, and Isra Azam, Sales Engineer, at Precisely.
This session’s for you if you want to discover the best approaches for creating, extending or maintaining different types of materials, as well as automating the tricky parts of these processes that slow you down.
Greater control over your Automate Studio business processes means bigger, better results. We’ll show you how to enable your business users to interact with SAP from Microsoft Office and other familiar platforms – resulting in more efficient SAP data management, along with improved data integrity and accuracy.
This 90-minute session will be filled with a variety of topics, including:
real world approaches for creating multiple types of materials, balancing flexibility and power with simplicity and ease of use
tips on material creation, including
downloading the generated material number
using formulas to format prior to upload, such as capitalization or zero padding to make it easy to get the data right the first time
conditionally require fields based on other field entries
using LOV for fields that are free form entry for standard values
tips on modifying alternate units of measure, building from scratch using GUI scripting
modify multiple language descriptions, build from scratch using a standard BAPI
make end-to-end MM process flows more of a reality with features including APIs and predictive AI
Through these topics, you’ll gain plenty of actionable takeaways that you can start implementing right away – including how to:
improve your data integrity and accuracy
make scripts flexible and usable for automation users
seamlessly handle both simple and complex parts of material master
interact with SAP from both business user and script developers’ perspectives
easily upload and download data between SAP and Excel – and how to format the data before upload using simple formulas
You’ll leave this session feeling ready and empowered to save time, boost efficiency, and change the way you work.
Automate Studio reduces your dependency on technical resources to help you create automation scenarios – and our team of experts is here to make sure you get the most out of our solution throughout the journey.
Questions? Sigrid & Isra will be ready to answer them during a live Q&A at the end of the session.
Who should attend:
Attendees who will get the most out of this session are Automate Studio developers and runners familiar with SAP MM. Knowledge of Automate Studio script creation is nice to have, but not required.
Often, when developing applications with a microservice architecture, you cannot fully test service until you deploy to a staging server. This feedback loop is too long. Docker helps to speed up this process by making it easier to link together small, independent components locally.
The Docker environment created fresh and seeded with data for each test run and then completely destroyed afterwards.
This style of testing is faster, more reliable, repeatable and consistent. It runs as part of the CI build, allowing breakages to fail a build and provide fast feedback.
Tired of having users email you that your web application is broken? Turns out that building reliable web applications is hard and requires a lot of testing. You can write unit tests but quite often these all pass and the application is still broken. Why? Because they test parts of the application in isolation. But for a reliable application we need more. We need to make sure that all parts work together as intended.
Cypress is a great tool to achieve this. It will test you complete web application in the browser and use it like a real user would. In this session Maurice will show you how to use Cypress during development and on the CI server. He will share tips and tricks to make your tests more resilient and more like how an actual end user would behave.
DevOps for Big Data - Data 360 2014 ConferenceGrid Dynamics
This document discusses implementing continuous delivery for big data applications using Hadoop, Vertica, and Tableau. It describes Grid Dynamics' initial state of developing these applications in a single production environment. It then outlines their steps to implement continuous delivery, including using dynamic environments provisioned by Qubell to enable automated testing and deployment. This reduced risks and increased efficiency by allowing experimentation and validation prior to production releases.
This document discusses Spring MVC and building RESTful APIs for iOS clients. It provides an overview of REST principles like resources, representations, and HATEOAS. It also covers Spring MVC annotations like @RequestMapping and @ResponseBody. It demonstrates making HTTP requests in iOS using NSURLConnection and parsing JSON with NSJSONSerialization. The document concludes that API design, Spring MVC, and testing tools make building REST APIs straightforward.
This document discusses challenges with online patching in Oracle E-Business Suite release 12.2.5. It begins with an overview of the 12.2 architecture and how it enables features like file system editioning and database edition-based redefinition to allow patching while the application is online. It then covers the online patching cycle in detail and discusses options for developing custom code to be either fully or runtime compliant. The document concludes with lessons learned around areas like database object grants, the DB_Domain parameter, executing autoconfig, and administering application nodes. It also discusses some common challenges seen with online patching and useful utilities for monitoring and diagnosing issues.
In this quality assurance training session, you will learn QTP/UFT automation testing. Topics covered in this course are:
• Introduction to QTP
• Features of QTP
• Recording modes of QTP
• Object Repository
• Synchronization point
• Step Generator
• Object Spy
• Checkpoints
• Data-driven testing & Parameterization
• Working with actions
• Reporting in QTP
TO know more, visit this link: https://www.mindsmapped.com/courses/quality-assurance/get-practical-training-on-software-testing-quality-assurance-qa/
The Query Service is the new platform solution for querying a variety of data sources. The goal of Query Service is that administrators can configure a metadata description of the data source that can then be used by end users without detailed knowledge of the underlying data source. This session explains how to configure Query Service data sources and use them with the RESTful API or component collection.
Database continuous integration, unit test and functional testHarry Zheng
Discuss continuous integration for database projects, including building project, deploying project to database, and executing unit tests and functional tests.
This presentation will also discuss database test standards, tips and tricks.
The document provides best practices and lessons learned from PeopleSoft upgrade projects. In the successes section, it outlines steps taken such as keeping a detailed project plan, leveraging PeopleSoft Change Assistant, and preparing the database server that helped projects be completed on time and on budget. The shortcomings section describes issues such as test scripts not being as usable as expected, environments not being properly defined and managed, and security being migrated twice. The document stresses planning thoroughly, validating assumptions, and having proper tools and processes for testing and deployment.
QuerySurge, the smart data testing solution, QuerySurge, the smart data testing solution that automates data validation & testing of critical data, released the first-of-its-kind full DevOps solution for continuous data testing. The latest release, QuerySurge-for-DevOps, enables users to drive changes to their test components programmatically while interfacing with virtually all DevOps solutions in the marketplace. See how to implement a DevOps-for-Data solution in your delivery pipeline and improve your data quality at speed!
Testers will now have the capability to dynamically generate, execute, and update tests and data stores utilizing API calls. QuerySurge for DevOps has 60+ API calls with almost 100 different properties. This will enable a higher percentage of automation in your current data testing practice and a more robust DevOps for Data, or DataOps pipeline.
API Features Include:
- Create and modify source and target test queries
- Create and modify connections to data stores
- Create and modify the tests associated with an execution suite
- Create and modify new staging tables from various data connections
- Create custom flow controls based on run results
- Integration with virtually all build solutions in the market
QuerySurge for DevOps integrates with:
- Continuous integration/ETL solutions
- Automated build/release/deployment solutions
- Operations and DevOps monitoring solutions
- Test management/issue tracking solutions
- Scheduling and workload automation solutions
For more information on QuerySurge for DevOps, visit:
https://www.querysurge.com/solutions/querysurge-for-devops
This document outlines the steps for upgrading a SharePoint 2010 farm to SharePoint 2013. It discusses requirements like hardware, software, and training. It then covers preparing the existing farm by surveying configurations, fixing issues, and backing up databases. The main steps involve setting up the new 2013 farm, restoring databases, upgrading service applications and content databases, and allowing site collection administrators to trigger deferred upgrades of individual site collections. Tips are provided around claims authentication, testing upgrades, throttling upgrades, and monitoring the upgrade queue.
The list of failed big data projects is long. They leave end-users, data analysts and data scientists frustrated with long lead times for changes. This case study will illustrate how to make changes to big data, models, and visualizations quickly, with high quality, using the tools teams love. We synthesize techniques from devOps, Demming, and direct experience.
VIPER is an iOS app architecture that separates an app into five components: Views, Interactors, Presenters, Entities, and Routers. This improves upon massive View Controllers by dividing responsibilities between layers. The View layer handles display, the Interactor handles business logic, the Presenter links Views and Interactors, Entities manage data, and the Router manages navigation. A sample journal app is described to demonstrate how VIPER would structure its components.
Using Couchbase and Elasticsearch as data layersTal Maayani
This document summarizes Sizmek's use of Couchbase and Elasticsearch as their data layer technologies. They use Couchbase for its fast reads/writes and support for large, unstructured data volumes. Elasticsearch is used for its full-text search capabilities. Some key points:
- Couchbase is used for its JSON support, indexing, querying abilities, and cross data center replication. N1QL is used for queries.
- Elasticsearch faces consistency issues in clustered environments that can cause test failures. Solutions include waiting before checking for updates or using refresh to force index updates.
- Maintaining uniqueness constraints is done by saving uniqueness documents with entity names as keys and IDs as values.
- The Java
This document discusses timer jobs and event handlers in SharePoint Online. It begins by explaining daemons and the options available in the cloud for running background tasks, such as Azure Functions, Logic Apps, and Web Jobs. It then covers authentication using Azure Active Directory and the different application types. The document demonstrates setting up an Azure Function with an app-only OAuth 2.0 token to call SharePoint and discusses remote event receivers versus webhooks. It provides examples of creating webhook subscriptions and handling notifications. In the end, it recaps how daemons can be run in SharePoint Online using Azure and the different authentication approaches for timer jobs and event handlers.
10 must do’s for perfect customer experience (Cx) -QualitestQualitest
In an economy where apps have become the very heart and soul of almost any customer centric business, we will not have more than one attempt to ensure the quality of your customer’s digital experience and set a desired customer loyalty.
If we want to the main activities to achieve the above, you might want to look at the below distilled list of must do’s.
Don’t Let Missed Bugs Cause Mayhem in your Organization!Qualitest
This document discusses how cognitive biases can cause testers to miss bugs and provides strategies to overcome these biases. It explains that testers make judgments using both fast, intuitive System 1 thinking and slower, deliberate System 2 thinking. Common cognitive biases like representative bias, confirmation bias, and inattentional blindness are described as well as how they can influence testing. The document recommends techniques like exploratory testing to leverage more intuitive System 1 thinking and find bugs. It suggests test managers foster an environment where testers are comfortable using more subjective thinking and the QA profession shifts focus from requirements coverage to risk-based exploratory testing.
Sometimes the most well-trodden paths are ruts, where the decision to not make waves or see an alternative can be destructive. Today, we look at the specific dangers from this groupthink phenomena.
-by Gerie Owen
Visit www.QualiTestGroup.com to learn more.
The document discusses challenges with traditional search and different surfaces, as well as challenges with many languages and triggering intents from questions. It proposes a solution of outsourcing to Search Language Specialists teams managed by Qualitest to increase global coverage for questions in over 20 languages.
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Messy tables
Frames
Random identifiers
Third part frameworks like JQuery and Moment
HTML5 video players
and more with Java and Selenium 3. Learn how solving these tricky problems with the correct techniques leads to more robust tests while saving scripting time!
For more information, please visit www.QualiTestGroup.com
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For more information, please visit www.QualiTestGroup.com
IoT’s potential impact by 2020 reportedly represents $3.6T and 25B devices. QualiTest and IBM joined for a webinar where we created a simulated device, developed an IoT solution using IBM’s Bluemix, navigated IBM Watson’s IoT platform, and explored IoT’s testing challenges and their solutions.
Visit www.QualiTestGroup.com
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Business demands quicker and cleaner SDLC’s, best streamlined by DevOps. DevOps is changing the face of QA, and QA empowers DevOps. Join QualiTest and Zeenyx for a webinar that will address these changes and present a path for testing success as part of a DevOps program.
Find out more by visiting www.QualiTestGroup.com
This document provides an overview of root cause analysis (RCA). RCA is a process used to investigate events that impact safety, quality, reliability and production. It involves collecting data, identifying causal factors, determining root causes, and generating recommendations. Root causes are underlying issues that management can control and for which effective recommendations can be made to prevent recurrence. The document outlines the four major steps of RCA and provides examples of using RCA to improve software processes, support agile development, and address issues with third party integrations.
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While Functionality, Security and Performance Testing are important elements to ensure web and mobile quality, another key element is User Experience Testing. An app must solve a problem for the user easily, and positive user experience and accessibility distinguish an outstanding app from a good one.
But how do you guarantee a great user experience? QualiTest and the Racing Post to addressed User Focused Testing best practices in the web and mobile domains. Discover how Ux Testing and Crowd Testing helped the Racing Post improve their digital experience, and learn how to leverage Managed Crowd Testing to guarantee predictable Ux, mitigate device fragmentation and achieve app quality through Ux Feedback.
Visit www.QualiTestGroup.com for more information.
DevOps is a practice that emphasizes the collaboration and communication of both software developers and other IT professionals while automating the process of software delivery and infrastructure changes.
Understand Agile and how software is developed in such an environment but also why there was a need for the DevOps movement and how DevOps is achieved.
Furthermore: find out What DevOps means for QualiTest and how we leverage it into daily practice.
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QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
A Scrum Master is responsible for making sure that the team (including the Product Owner) follow the principles and processes of Scrum. Learn more about the role of the Scrum Master and if and why we need them?
QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
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QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
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QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
4. Protocol Test Steps
• All of the requests within a Test Suite have to
come from the same project
• Requests from different protocols can be
loaded into the same project
4
9. Transfer to hand off session id
• This property transfer is set up to hand off the
sessionid from the login response to the
logout request
•
9
10. Exercise
• It would be nice to have the application id from the
GetAllBibDataInfo request to pass on to the
GetApplicationInfo request so let’s add in the
application id as a transfer property and add it as
another test step in the test case between
GetAllBibDataInfo and GetApplicationInfo.
• Then add an assertion on the GetApplication info
request to make sure that it is also working correctly.
Since Patent Number is one of the fields in the
response for the GetApplicationInfo, add an
assertion that this matches the original Patent
Number input 10
12. Exercise – Delay Step
• Add in a Delay Step in the previous exercise
before the Property Transfer step – this will
allow time for the response from
GetAllBibDataInfo to be completed before
transferring the data to GetApplicantInfo is
executed.
12
14. Executing w/ a Manual Step
• If you have any
manual test steps in
your test case/test
suite, you will get a
dialog pop-up that
provides instructions
and requests
information before
moving on to the
next test step
14
15. Exercise – Manual Step
• Add a manual step in the previous exercise before
the DataSource Loop with the following actions and
expected outcome:
• Action: Get up from your chair and walk one time
clockwise around the conference table, returning to
your seat.
• Expected outcome: You feel refreshed and ready to
take on more challenging exercises.
• Run your test suite, recording the actual results and
Pass/Fail status for the manual step
15
19. Data Sink
• Allows you to parse values from your test and
write them to output file
• If you want to use some of the data in the
response of a request, start with a valid
executed response
19
26. Data Sink Exercise
• Using the currency conversion project and the
previous steps, add a Data Sink to capture the
actual results in your test suite
26
32. Mode & Shared
• Mode
– READ pulls a new value every time it is referenced
– STEP pulls a new value every time DataGen is
called
– Call DataGen prior to use as in the initial state, the
property has no value
• Shared
– For use in load tests – value can be shared across
multiple threads
32
33. Set up REST project
• Can create a REST project by
– Using URI
– Importing WADL
– Discover REST services
33
34. REST – URI Address
34
http://maps.googleapis.com/maps/api/geocode/xml?address=1600+Amphit
heatre+Parkway,+Mountain+View,+CA&sensor=false
35. Project is Set up
35
Can create multiple resources at this level
36. Request Tab
• Includes the fields – you could put in
additional fields in this form as well
36
43. Exercise
• Building the correct URI
• Create a separate REST project for each of the
following URIs and adjust the parameters as
needed to build the correct URI:
• http://www.thomas-bayer.
com/sqlrest/CUSTOMER/18/ (remember that
any number can be used after CUSTOMER)
• http://fqt-tmng-cms.
etc.uspto.gov/trademark/cms/rest/metadata/ca
ses/id;sn=76705762
43
49. Exercise
• Create new project using REST service -
https://maps.googleapis.com/maps/api/geoco
de/xml?address=1600+Amphitheatre+Parkwa
y,+Mountain+View,+CA&sensor=false
– Change xml > json for different format in response
• Create multiple requests with different
optional input parameters and different
output formats
– Input parameters: language (see previous sheet),
region (2 char country code that would be used in
url such as ca, gb, gr, jp, etc.)
49
Within one test suite /test case you can have multiple protocols, however all of those protocols must reside in the same project. So if you wanted to have both a SOAP and REST request in the same test case, the definitions for both the SOAP and REST requests must exist in the project. The JDBC requests are to talk to a DB.
Functional Testing properties are used to parameterize the execution and functionality of your tests, for example:
Properties can be used to hold the endpoints of your services, making it easy to change the actual endpoints used during test execution
Properties can be used to hold authentication credentials, making it easy to manage these in a central place or external file
Properties can be used to transfer and share session ids during test execution, so multiple test steps or test cases can
share the same sessions Properties can easily be both read and written from scripts and also transferred between Test Steps with the Property-Transfer Test Steps . The property values can be typed in the rows or they can be loaded from a txt file
Setting up the properties isn’t enough, a transfer properties test step must be used as well.
Each variable to be transferred is listed on the left – can only select/view one at a time. The checkboxes at the bottom provide additional options. The options are shown in their default state. Note that the source is the properties that we just set up and the destination is the next test step that needs the information
There are many reasons for setting up a delay test step- maybe you want to wait for other processes to catch up or maybe you want to test what happens if the there is too long a delay between step – for example, suppose once you first initialize the login process to a system you are given a token and that token is only good for 30 seconds and if you don’t complete the login process in 30 seconds, then you have to start over again – in that case you might want to set up the tests as GetToken, wait 31 seconds, Login – with the expected results of a failure on the 3 step where you try to complete the login
A manual test step is just that – doing some step(s) manually in order to complete the test
One the test execution hits a manual test it will sit there indefinitely until the test completes the form and presses ok to continue with the next step or cancel to stop the execution at that point
The goto logic can be useful for following different paths depending on what is returned from the previous request- for example, if nothing is found to buy during our search, then we don’t want to go through the buy process, we just want to skip to the end and logout (note that logout is picked in the target step). Additionally if we have different logic depending on what is returned, the goto test step can also be useful for that.
Clicking on the bottom right hand icon in the Conditional Xpath window brings up the Xpath tree from the last response so you can easily find the element you want to add – once you select the element, you have to add in the conditional logic as well – in this case was wanted exists
We’ve already covered Data Source and Data Source Loop, so we will just look at Data Sink and Data Gen
1. Give it a name; 2. pick file type; 3. Add output file info; 4. Add input if you want a template file and change start at cell value
Once you have the data sink set up, make sure that the test step is located after the step that generates the data that you want to capture and run the test suite
Note that if you run the tests again unless you change the start at cell value (or the Out File name), it will overwrite your previous results
DataGen allows you to dynamically generate data that is needed by your test cases such as a current date or time.
Start by clicking on the icon in the test case editor, then add the DataGen and click on the Add icon on the top left to bring up the Add generated property dialog Script : specifies a property whose value is created by a groovy script
Template : specified a block of content to be used when building other values
Number : allows for number-based sequential creation of property values (integers, dates, etc)
List : specifies a list of possible values to return when the property is read
Inorder to use this value in a property, just use ${DataGen#today}
Xml template to use the date field
Numbers can be sequential or random and persisted from run to run
Mode controls the evaluation of the property value and has two possible values; READ and STEP. READ will re-evaluate the property each time it is referenced. This works ok with (for example) our today property created above and any other property that can/should have its value recreated every time. This may not always be desired though; for example, you might be using a Number property to generate a unique ID to use during the entire run of a TestCase. If you are referring to this ID in several requests or scripts etc, setting it to READ would give you a new value every time, instead of one value that is always the same. In this case set the Mode to STEP and the property will be evaluated when the DataGen TestStep is executed during the execution of the containing TestCase. Note: Prior to execution the property has no set value. Place the DataGen step before any steps that may be referring it.
Select File > New REST Project then enter URI and click OK http://maps.googleapis.com/maps/api/geocode/xml?address=1600+Amphitheatre+Parkway,+Mountain+View,+CA&sensor=false
Note that you don’t get a chance to name the project when you create it, but you can go back and rename it after the fact. Also note that SOAPUI has pulled in the fields from the URI
Prepopulates the parameters with the ones found in the REST request – many of the parameters associated with REST requests aren’t required so we can set up different methods to handle the different parameters
All parameters can be defined either at the RESOURCE level or at the METHOD level. Defining a parameter at the RESOURCE level means that it is inherited by all method nodes under it, and by all requests under the METHOD nodes. Defining it on the METHOD level only propagates the parameters to the requests; it does not affect the RESOURCE level.
Parameters that are defined at the resource level can be used by all methods created underneath it while parameters created at the method level will only apply to any requests created in that method – you can have as many methods underneath a resource as you want just as you can have as many requests underneath a method as you want. And just like with naming requests, you can name the methods anything that you want as well
QUERY parameters are the most common type of parameter, which is appended to the path of the URL when submitting a request. You can see them added to the path after a ‘?’ in the path preview at the top of the REST Request editor. If you are simulating HTML Form submits, you might want to them to use the POST method instead. If we create a corresponding REST Method using the POST (or PUT) verb you will get an option to post query-parameters in the body instead
HEADER parameters are instead added as HTTP Headers to the outgoing request. Let’s define one at the Method level:
TEMPLATE parameters are a flexible way of parameterizing the actual path of the request. Now we can just change this parameter to run queries using different IP addresses. TEMPLATE parameters really only make sense on the RESOURCE level. It is technically possible to have them on the METHOD level, but it isn’t recommended. If you define a TEMPLATE parameter on the METHOD level, it will not be automatically appended to the resource path — you will have to manage it manually.
MATRIX parameters are another way of defining parameters to be added to the actual path of the resource, but before the query string. They are not as common but never the less specified in the WADL spec and thus supported by soapUI. Add a MATRIX parameter for date to the Metadata for eOG
note that you can also hand edit the endpoint and or resource if needed
As you build your REST services methods and resources SOAPUI will append the URI to the name of each Resource – you can also click on the Resource Param tab to see the parameters for this Resource
While SOAP and REST have similar hierarchies, they have different names for the different levels
-Methods for GET, POST, PUT, etc are available in the drop down. The one that you will actually be using will depend on the type and purpose of the request
Click the green arrow to submit the request and then review the output in the different formats
Adding parameters to the REST request is done by clicking on the add button and filling in the information on the next row in the table. Typically order doesn’t matter for REST request
Don’t forget to rename your project – to get the output in json the request becomes https://maps.googleapis.com/maps/api/geocode/json?address=1600+Amphitheatre+Parkway,+Mountain+View,+CA&sensor=false
1) From the starter page, click on Discover REST APIs, 2) enter the URL – by default the recorder is running; 3) hit enter and wait for the recorded requests to stop loading, then click Done
4) Pick just the application/json content types and click generate services, 5) then pick services and click OK; 6) the method parameters are set up automatically
Request is set up and ready to submit – at this point can parameterize the inputs to the request also shown is the response in JSON format