#builder design pattern in spring boot

[codeonedigest]

Builder Design Pattern Tutorial Explained with Examples for Beginners and Students

Full video link https://youtu.be/8UelSNeFlTc Hello friends, a new #video about #BuilderPattern #Java #Design #Pattern is published on #codeonedigest #youtube channel. This video covers topics 1. What is #BuilderDesignPattern? 2. What is the use of Buil

Builder design pattern is a type of Creational Java design pattern. Builder design pattrn with examples for students, beginners and software engineers. Complete tutorial of Builder design pattern explained with the code examples. Java design pattern is the backbone of software architecture design & development. Gang of Four design patterns are articulated for Object oriented programming…

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Amazon DynamoDB single-table design using DynamoDBMapper and Spring Boot

A common practice when creating a data model design, especially in the relational database management system (RDMS) world, is to start by creating an entity relationship diagram (ERD). Afterwards, you normalize your data by creating a table for each entity type in your ERD design. The term normalization refers to the process of organizing the columns (attributes) and tables (relations) of a relational database to minimize data redundancy. The practice of creating ERDs works even with NoSQL database systems such as Amazon DynamoDB. The patterns provided by modules such as Spring Data, which is used by Spring Boot based application for data access, still heavily depend on these patterns from the RDMS world. However, normalizing your data in this way doesn’t yield optimal results when you’re using a nonrelational database. Relational databases use joins to combine records from two or more tables, but those joins are expensive. However, DynamoDB does not support joins. Instead, data is pre-joined and denormalized into a single-table. This blog post shows how to implement an ERD design by using a single-table design approach instead of using multiple tables. We use the higher-level programming interface for DynamoDB called DynamoDBMapper to demonstrate an example implementation based on Spring Boot. Solution overview In this post, we use the Ski Resort Data Model that is provided as an example in NoSQL Workbench for DynamoDB. This example model provides several entities and defines the following access patterns: Retrieval of all dynamic and static data for a given ski lift or overall resort, facilitated by the table SkiLifts Retrieval of all dynamic data (including unique lift riders, snow coverage, avalanche danger, and lift status) for a ski lift or the overall resort on a specific date, facilitated by the table SkiLifts Retrieval of all static data (including if the lift is for experienced riders only, vertical feet the lift rises, and lift ride time) for a certain ski lift facilitated by the table SkiLifts Retrieval of the date of data recorded for a certain ski lift or the overall resort sorted by total unique riders, facilitated by the SkiLifts table’s global secondary index SkiLiftsByRiders With dynamic and static data in a single table, we can construct queries that return all needed data in a single interaction with the database. This is important for speeding up the performance of the application for these specific access patterns. However, there is a potential downside, the design of your data model is tailored towards supporting these specific access patterns. Which could conflict with other access patterns, making those less efficient. Because of this trade-off it’s important to prioritize your access patterns and optimize for performance as well as cost based on priority. To apply the single-table design successfully in your application, you need to understand your application’s data access patterns. Access patterns are dictated by your design, and using a single-table design requires a different way of thinking about data modeling. You can learn more about this pattern from the AWS re:Invent 2020 talks from Alex DeBrie (AWS Data Hero), Data modeling with DynamoDB – Part 1 and Data modeling with DynamoDB – Part 2. Additionally, Amazon DynamoDB Office Hours with Rick Houlihan (senior practice manager at AWS) are a great source of information that include examples of modeling real-world applications. Usually, you don’t know all the access patterns beforehand. Iterate your design and continue to improve it before actually putting the application into use. In this blog post’s example application, we use the following stack: Amazon Corretto 11, the no-cost, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK) Spring Boot version 2.4, Spring’s convention-over-configuration solution for creating stand-alone, production-grade Spring-based applications Apache Maven, a software project management and comprehension tool Amazon DynamoDB Local, the downloadable version of DynamoDB you can use to develop and test applications in your development environment AWS SDK for Java v1, specifically for the higher-level programming interface for DynamoDB, which is called DynamoDBMapper Project Lombok, a java library that reduces boilerplate code by using annotations in your classes JUnit 5, unit testing framework for Java based applications The first iteration of our data model is shown in the following table. Primary Key Attributes PK SK Date Total Unique LiftRiders Average Snow Coverage Inches Avalanche Danger Open Lifts Experienced Riders Only Vertical Feet Lift Time Lift Number RESORT_DATA DATE#07-03-2021 07-03-2021 7788 50 HIGH 60 RESORT_DATA DATE#08-03-2021 08-03-2021 6699 40 MODERATE 60 RESORT_DATA DATE#09-03-2021 09-03-2021 5678 65 EXTREME 53 LIFT#1234 STATIC_DATA TRUE 1230 7:00 4545 LIFT#1234 DATE#07-03-2021 07-03-2021 3000 60 HIGH OPEN LIFT#1234 DATE#08-03-2021 08-03-2021 3500 50 MODERATE OPEN LIFT#6789 STATIC_DATA FALSE 2340 13:00 1122 LIFT#6789 DATE#08-03-2021 08-03-2021 4000 60 MODERATE OPEN LIFT#6789 DATE#09-03-2021 09-03-2021 2000 88 EXTREME OPEN This table uses the DynamoDB concept called composite primary key. A composite primary key is composed of two attributes. The first attribute is the partition key (PK) and the second attribute is the sort key (SK). DynamoDB uses the partition key’s value as input to an internal hash function. The output from the hash function determines the partition (physical storage internal to DynamoDB) in which the item will be stored. All items with the same partition key value are stored together, in sorted order by sort key value. The values for the partition key and sort key in this table start with a prefix like #, which makes values easier to understand. Such a prefix also allows you to create simple queries on the sort key that filter on items starting with a certain prefix. Prerequisites for this solution For this walkthrough, you should have the following prerequisites: Java Development Kit (JDK), such as Amazon Corretto installed, version 11 or higher Apache Maven, which you can install locally or use the Maven wrapper that is provided with the example project Implementing the solution We focus on two access patterns in this post and provide integration tests that demonstrate the functionality by using DynamoDB Local. Integration tests provide examples that can be a good starting point when you plan to implement a similar access pattern in your own application. We focus on the following two patterns: Retrieval of all dynamic and static data for a given ski lift or overall resort. Retrieval of the date of dynamic data recorded for a certain ski lift or the overall resort sorted by total unique riders. To make this query efficient, we use a global secondary index on the DynamoDB table. Follow these steps to create an environment in which to test these access patterns: Create the Spring Boot application. Add domain classes, providing a mapper between Java POJOs and the DynamoDB model. To reduce the amount of boilerplate code we need to write, we use Project Lombok annotations to generate most of this code. Add integration tests to validate the access patterns by using DynamoDB Local. The example project can be found in this GitHub repo. Using the combination of Spring Boot with Project Lombok is common practice, because the use of Project Lombok minimizes boilerplate code and thereby improves the developer productivity in creating Spring Boot based applications. The Spring Data model is often used for accessing databases. Implementing the data access layer of your application without Spring Data and instead using the higher-level programming interface provided by the AWS SDK for Java has some advantages. For example, you can create a dedicated project for data access, allowing you to not only use this library in your Spring Boot applications but also in other plain Java code. Creating your domain classes that provide the mapping between the application logic and DynamoDB is easier when you combine Project Lombok and the AWS SDK for Java. The following code example demonstrates how to use the Project Lombok annotations and DynamoDBMapper annotations together to create a Java POJO representing the static lift stats domain class. The Project Lombok annotations minimizes the boilerplate code and the DynamoDBMapper annotations provide a mapping between this class and its properties to tables and attributes in DynamoDB. For example the @DynamoDBHashKey and @DynamoDBTable annotations allows DynamoDBMapper to link the getPK() method to the partition key in the table SkiLifts. @AllArgsConstructor @Builder @Data @DynamoDBTable(tableName = "SkiLifts") @NoArgsConstructor public class LiftStaticStats { @DynamoDBAttribute(attributeName = "ExperiencedRidersOnly") private boolean experiencedRidersOnly; @DynamoDBAttribute(attributeName = "VerticalFeet") private int verticalFeet; @DynamoDBAttribute(attributeName = "LiftTime") private String liftTime; @DynamoDBAttribute(attributeName = "LiftNumber") private int liftNumber; @DynamoDBHashKey(attributeName = "PK") public String getPK() { return "LIFT#" + liftNumber; } @DynamoDBRangeKey(attributeName = "SK") public String getSK() { return "STATIC_DATA"; } } The following code block creates a QueryRequest expressing to DynamoDB that we want all data from the table that share the same partition key represented by the attribute liftPK. The result of this request is retrieved from DynamoDB by performing a query: AttributeValue liftPK = new AttributeValue("LIFT#" + liftNumber); QueryRequest queryRequest = new QueryRequest() .withTableName("SkiLifts") .withKeyConditionExpression("PK = :v_pk") .withExpressionAttributeValues(Map.of(":v_pk", liftPK)); QueryResult queryResult = amazonDynamoDB.query(queryRequest); The results of this query can contain items of different types of objects, both LiftDynamicStats and LiftStaticStats objects. The DynamoDBMapper class isn’t suited to implement this query because its typed methods don’t allow for a query result that contains different types of objects. However, for this access pattern it is important to retrieve the data set containing different types of objects with just one query to DynamoDB. Because the QueryRequest and QueryResult classes are able to deal with query results containing different types of data objects, using the QueryRequest and QueryResult classes is the best alternative for implementing this query. Second access pattern Our second access pattern is the retrieval of the date of dynamic data recorded for a certain ski lift or the overall resort sorted by total unique riders. We need to sort this data by the number of unique riders, but the table design doesn’t facilitate an easy query for such a use case. For this reason, we introduce a global secondary index to support our access pattern. The partition key (PK) remains the same, but we use the total unique riders property as the sort key (SK). Do we need more data for this access pattern? Yes: the date, but other attributes aren’t relevant, so those are not included in global secondary index. The following table provides some example data in which the items are sorted by the total unique lift riders. Primary Key Attributes PK SK TotalUniqueLiftRiders Date RESORT_DATA TOTAL_UNIQUE_LIFT_RIDERS#7788 7788 07-03-2021 RESORT_DATA TOTAL_UNIQUE_LIFT_RIDERS#6699 6699 08-03-2021 RESORT_DATA TOTAL_UNIQUE_LIFT_RIDERS#5678 5678 09-03-2021 LIFT#1234 TOTAL_UNIQUE_LIFT_RIDERS#3500 3500 08-03-2021 LIFT#1234 TOTAL_UNIQUE_LIFT_RIDERS#4000 4000 08-03-2021 LIFT#6789 TOTAL_UNIQUE_LIFT_RIDERS#3000 3000 07-03-2021 LIFT#6789 TOTAL_UNIQUE_LIFT_RIDERS#2000 2000 09-03-2021 With just one query, it’s very easy to get a list for a specific lift sorted by the total unique lift riders. The only additional data retrieved by this query is the date. The integration test in the project called GlobalSecondaryIndexTestIT.testRetrieveDateOfLiftDataSortedByTotalUniqueLift() implements this scenario. See the following code, in which we use the DynamoDBMapper to query the global secondary index using an expression that will only return objects of the type LiftDynamicStats: List results = mapper.query(LiftDynamicStats.class, new DynamoDBQueryExpression() .withConsistentRead(false) .withExpressionAttributeValues( Map.of(":val1", new AttributeValue().withS("LIFT#" + lift1))) .withIndexName("GSI_1") .withKeyConditionExpression("GSI_1_PK = :val1")); Run tests in the project by using Maven To run our tests, we run the following command in the root folder of the project: ./mvnw clean verify The output shows the results of running the tests, including access to DynamoDB Local. The test results are not that important. We used these tests to demonstrate how different access patterns can be implemented and thereby providing a starting point for integrating the single-table design in Java applications. You also can find the test results in /target/surefire-reports/. Summary This post showed how to complement the functionality provided by the AWS SDK for Java with the functionality provided by Project Lombok. Such an approach allows for an efficient programming model in Spring Boot–based applications as well as any other Java application. Furthermore, you can extend the same concept in this post to simple functions, including AWS Lambda functions. Within a project, you can use this data access layer in applications based on Spring Boot and deployed on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Similarly, you can use the data access layer within the same project in smaller scoped functions deployed as lightweight Lambda functions. This way, you can avoid the added overhead of Spring Boot. This is one of the main advantages of using the components provided by the AWS SDK for Java instead of implementations based on modules such as Spring Data. This post’s example project demonstrates functionality by using DynamoDB Local, but also provides a great stepping stone to start developing your own Java-based applications and functions. About the author Arjan Schaaf is a cloud infrastructure architect at AWS Professional Services, based in the Netherlands. He helps customers solve complex challenges by providing solutions that use AWS services. When not working, Arjan likes Alpine activities, backyard BBQ, and spending time with family and friends. https://aws.amazon.com/blogs/database/amazon-dynamodb-single-table-design-using-dynamodbmapper-and-spring-boot/

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Agilenano - News: Large Space Over The Door Hanging Mirror

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Agilenano - News from Agilenano from shopsnetwork (4 sites) https://agilenano.com/blogs/news/large-space-over-the-door-hanging-mirror

[interiordesigntorontonews]

Toronto's Interior Design Trends for 2019

As Toronto emerges from another mind-numbingly cold Canadian winter, our collective thoughts turn toward springtime and the promise of renewal.

We say goodbye to parkas and winter boots & hello to spring jackets & warm-weather shoes.

We say goodbye to snow & hello to green grass.

And when it comes to us design nerds, we also say goodbye to outdated interior design & hello to the new interior design trends for 2019.

In today’s article, I have interviewed a handful of Toronto’s design leaders for their feedback on Toronto's Interior Design Trends for 2019.

Wallcovering Trends for 2019

Katie Hunt from Katies Wallpaper is Toronto’s wallcovering superstar. Here’s her forecast on Toronto’s wallcovering trends for 2019….

As the technology of wallpapers continue to improve, the scope of wallpaper applications and designs will be continue to expand.  For 2019, we will be seeing more Murals, and Oversized Patterns, and designs which are whimsical and colourful.

From custom wallpapered furniture, to built-ins, new and exciting wallpaper applications will add custom details throughout the home.

Textural wallpapers, such as Grasscloths, continue to be popular.  And with specialty finishes, like Wood Veneers, pushing the boundaries of what wallpaper can do.

We will also be seeing more Artisan wallpapers, as they are customizable, and add that special one-of-a-kind look to your home.

Wallpaper is one of the most diverse creative design applications for your home, both from a price and design perspective.  You can budget $60 per Roll to $2,000, and from a design standpoint, the possibilities can be virtually anything you imagine

Lighting

Universal Lamp is one of Toronto’s leaders in lighting design & fixtures. I would like to thank Universal’s Shayla Young for her take on Toronto’s most important lighting trend for 2019….

The biggest lighting trend that we noticed this year at Universal Lamp is matte black lighting. Coming in all kinds of styles, from modern to traditional, and all types of  lights, chandelier to wall sconces, etc. Black lights are a great choice for people who do not want to commit to a metal finish, or if they plan on mixing finishes.

 Custom Furniture

Markham Furniture is one of Toronto’s top builders of fine quality, custom-built furniture. A favorite of interior designers for 20 years, Markham Furniture sells made-to-order furniture to perceptive clients across Canada at an extraordinary value. Below are their thoughts on Toronto’s top furniture trends for 2019…

When Interior Designers and decorating clients shop for fine custom upholstery, a concise palette of colour usually guides their project selections. Designers will always shop fabrics with that prevailing consideration in mind. For 2019, leading designers are increasingly exploring textured fabrics to shelter their focal point settees.

“Clients are not just looking, they’re touching more than ever. They’re opting for something with a discernible, gratifying touch. It’s a decidedly tactile approach” says Julie Rizk, a Furniture Designer and Fabric Consultant at Markham Furniture.

“They want their fabrics to feel delicate, natural, breathable. Designers are consciously exploring all the options. They’re asking about Linen, Wool, Cotton, and Bamboo and asking for silky-velvet, and chenille fabric swatch books.”

Markham Furniture tells us that textured fabrics with beautiful, subtle patterns woven-through have been in demand pre-Spring, and expect texture to be a significant consideration for designers and home decorators in (Toronto in) 2019.

Tile / Stone

Marble Trend is one of Toronto’s best suppliers of natural stone slabs, porcelain, glass tile, terrazzo, quartz, concrete & wood flooring. For 2019, Marble Trend’s Gabriella Luchetta sees two products leading the way in Toronto for 2019….

 PORCELAIN:

With advancements in technology, natural stones have been mimicked into porcelain tiles & slabs giving the look of expensive natural stones but offering a cheaper alternative.

NOTE: I have included a link to Marble Trend’s selection of porcelain products, but to be honest, the pictures don’t do them justice. They need to be seen in “real life” to make a accurate comparison to natural stone. 

TERRAZZO:

Lately people seem to be getting tired of the marble look that has been popular for so many years and are now really into terrazzo.

Traditional terrazzo is natural stone chips held together with cement or resin. It was popular for many years for commercial projects like airports, hotels, shopping malls, public transit stations etc. but it wasn’t as popular as it has become for the multitude of applications it is being used for today. Popular applications include countertops, floors, walls, sinks, tabletops etc. 

 With advancements in technology, manufacturers have created new adaptations of traditional terrazzo.

Ex 1: Vetrazzo is created with 100% recycled components such as beer, wine and vodka bottles, condiment jars, oyster shells, mother of pearl, traffic lights, windshields as more. 

 Ex 2: DNA Urbano is a product that instead of using stone chips is made with (gravel that builds up along pavement edges), designed by CEM Ambiente Spa –a company that engages in the collection and treatment of waste for a cleaner environment.  

Ex 3: Retrostone is a digitally printed version of Terrazzo. It is also eco friendly, 100% natural & recyclable, kosher approved, greenguard certified, emits no VOCs etc. 

 Contributors

I would like to recognize all of the contributors who helped put this article together :)

Katie Hunt  Professional Wallpaper Installer Katie’s Wallpaper Installation Inc.  Facebook - Instagram

 Katie Hunt is a leading professional wallpaper installer and expert, appearing on several HGTV television series, including The Property Brothers, Holmes and Holmes, Reno Set Go and Home to Win. She is a regular guest on several television talk shows, including The Marilyn Denis Show.

Her wallpaper installations are also featured in national publications across Canada and the United States. Working with leading interior designers, Katie specializes in luxury wallpaper installations, from hand-painted silk wallcoverings to crystal-beaded wallpaper.

Her work can be seen in various luxury custom homes and five-star hotel residences, including The Ritz-Carlton and Shangri-La Toronto. Katie also provides consulting for major wallpaper manufacturers and distributors, having established herself as one of the premier experts in her field.

Shayla Young Universal Lamp Lighting Design & Fixtures Facebook - Instagram

Universal Lamp is one of Toronto’s leaders in lighting design & fixtures. Their #1 goal is to provide a complete selection of lighting products for every application and every budget while maximizing quality and style. Universal understands the dramatic effect lighting can have on the way a space looks, feels, and functions. Their experienced sales staff are there to help you get your lighting right, and have have a great reputation for outstanding customer service.

 Lighting is their only business. With so many recent changes in lighting technology, Universal’s sole focus on lighting ensures that they can continually provide the expert advice and award-winning lighting consultation services that they are known for,

Julie Rizk Furniture Designer and Fabric Consultant Markham Furniture Facebook - Instagram

Markham Furniture is one of Toronto’s top builders of fine quality, custom-built furniture. A favorite of interior designers for 20 years, Markham Furniture sells made-to-order furniture to perceptive clients across Canada at an extraordinary value. 

Gabriella Luchetta Marble Trend Facebook - Instagram

Marble Trend is one of Toronto’s finest suppliers of natural stone slabs, porcelain, glass tile, terrazzo, quartz, concrete & wood flooring.

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Fwd: Urgent requirements of below positions

New Post has been published on https://www.hireindian.in/fwd-urgent-requirements-of-below-positions-47/

Fwd: Urgent requirements of below positions

Please find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to vendor@vinsysinfo.com or please call me on 703-594-5490 to discuss more about this position.

Spring boot Developer—à Atlanta, GA

Senior Developer——à Lakeland, FL

 SFDC Tech Lead——à RTP, NC

    Job Description

Job Title: Springboot Developer

Location: ccc

Duration: 6 Months

Mandatory Skills: Java / spring boot / REST API

  Job description:

Strong experience in JAVA / J2EE / PCF / Spring boot / Apigee

Should have working experience in Microservices, Restful Web Services

6+ years of experience in Java and 2+ years of experience in PCF / Micro services.

Application Development Platform: Spring Boot (Must Have Skill)

Application Development Languages / Tools: Java/JavaScript (Must Have Skill), RESTful API (Must Have Skill), JSON, XML, SOAP, Groovy, Ruby, PHP, Python, Yeoman, Grunt

Job Title: Senior Developer

Location: Lakeland, FL

Duration: 1 year

Mandatory Skills: 5+ years of Experience in C++ project development

  Job description:

5+ years of development experience in C++  projects with Object oriented programming

Experience with design patterns and STL

Experience in Visual studio development environment

Good communication skills

Position: SFDC Tech Lead

Location: RTP, NC

Duration: Contract

  Locals or Ex- HCL preferred.

  Job Description:

  Primarily Client is looking for these skills.

  Lead experience

Salesforce Lightning hands-on experience

Salesforce Certifications (Developer, Admin, App Builder)

  Please see if the profiles which you are sharing all these 3 certifications or atleast 2 of these certifications Mandatory.

  Platform Developer 1

 Administrator

 Platform App Builder

  Thanks, Steve Hunt Talent Acquisition Team – North America Vinsys Information Technology Inc SBA 8(a) Certified, MBE/DBE/EDGE Certified Virginia Department of Minority Business Enterprise(SWAM) 703-594-5490 www.vinsysinfo.com

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Easy integration between services with Apache Camel

For a couple of months now I have been working on an application that uses Apache Camel. I am not sure if it’s a good choice for this application because it does not deal with many sources of information. But I am convinced that Apache Camel can provide easy-to-read integration code and it’s a good choice for some services in a microservices architecture. The Apache Camel project is already running for some time, and I wonder: is it ready for the future? First I will explain a bit what I think Apache Camel is and why it is useful. I will also give some code examples.

What is Apache Camel?

Apache Camel is a framework full of tools for routing data within an application. It is a framework you use when a full-blown Enterprise Server Bus is not (yet) needed. It focusses on getting different kinds of messages from different kinds of sources to their destination. Using Apache Camel intensively in an application means it becomes message-based. It provides an implementation of the Enterprise Integration Patterns, which are described in the book ‘Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions’, using a domain-specific language.

Apache Camel’s main building block is a ‘Route’ which contains flow and integration logic. In the route you can specify the sources and endpoints using the DSL. You can also define which transformations need to be done during the trip from source to endpoint. In your route you can define URIs to receive data provided by different sources, transport protocols or messaging models and also send data to them. For example, HTTP, JMS, Amazon’s SQS, Docker, MQTT and many more. Also Beans can be endpoints, but cannot be defined as a source. Apache Camel in general works nicely together with Spring. A Camel Spring Boot autoconfiguration and starter module are available.

Why use Apache Camel?

It is quite difficult to explain why one would need Apache Camel, but I will try. I think Apache Camel is a great tool when your application receives data from many different sources. At a certain moment, when adding more sources, the code is getting littered with various client libraries and custom code that does message transformation, which is when it is maybe time to look into Apache Camel. The DSL provides a clear way to define the integration and transformation required for the data from these sources. Besides, you can easily set up in-memory queueing to prevent overloading of certain calls in the application using for example the SEDA component. SEDA creates a pool of threads to process incoming messages. Also, Direct VM and VM components are provided to send messages to applications running on the same Java virtual machine. In the DSL you have the ‘choice’ construct that enables conditional routing. This means you can determine if a message for example needs to be sent to a specific endpoint.

The framework also provides one set of concepts and models to argue about integration issues. The same concepts of endpoint and consumer can be used when getting data from an MQTT topic or when files are dropped in a directory or when processing a REST request. While Apache Camel is expressive and declarative, it does add complexity. A language is introduced in the codebase that a lot of developers are not familiar with.

Some examples

A simple pseudo-code example:

from(source) .choice() .when(condition).to(endpoint) .otherwise() .to(anotherEndpoint) .end();

  More extensive example:

from("file:" + getDirectory() + "?move=.done") .routeId("extensiveRouteId") .routePolicyRef("cronPolicy") .unmarshal("dataFormatter") .process("Processor1") .process("Processor2") .to("bean:outputBean?method=process(${body},${header." + fieldName + "})")

  In the second example, the route listens to a directory and every file there is picked up. When finished, the file is moved to the .done sub directory. The route policy defines when a route is active and the unmarshal defines how the file contents are transformed to a new format like a bean. The process call enables you to get the message in form of an ‘Exchange’ object in a Processor where you can read it and change it. At the end, the message is sent to a method ‘process’ of the bean with the name ‘outputBean’. The two arguments of the method are provided using the ‘Simple Expression Language’ which is part of Camel. The body is just the main message content and the header provides metadata which often is automatically provided by a component. Like the ‘CamelFileName’ for the ‘file:’ component.

Below I give an example how you could create an integration test for a Route.

@RunWith(CamelSpringRunner.class) @ContextConfiguration(loader = AnnotationConfigContextLoader.class) public class SplitRouteIT { public static final String MOCK_RESULT = "mock:result"; @Produce(uri = DIRECT_SPLIT) private ProducerTemplate template; @Autowired private CamelContext camelContext; @EndpointInject(uri = MOCK_RESULT) protected MockEndpoint mockEndpoint; @Before public void setup() throws Exception { AdviceWithRouteBuilder builder = new AdviceWithRouteBuilder() { @Override public void configure() throws Exception { weaveByToString("To[" + DIRECT_SENDER + "]").replace().to(MOCK_RESULT); } }; camelContext.getRouteDefinition(SplitRoute.ROUTE_ID).adviceWith(camelContext, builder); } @Test @DirtiesContext public void shouldSplitMessages() throws Exception { mockEndpoint.expectedBodiesReceived( "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefg1", "ijklmnopqrstuvwxyz1", "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefg2", "ijklmnopqrstuvwxyz2"); template.sendBody(SplitRoute.DIRECT_SPLIT, "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefg1ijklmnopqrstuvwxyz1"); template.sendBody(SplitRoute.DIRECT_SPLIT, "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefg2ijklmnopqrstuvwxyz2"); mockEndpoint.assertIsSatisfied(); } @Test @DirtiesContext public void shouldSplitMessage() throws Exception { mockEndpoint.expectedBodiesReceived("abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefgh", "ijklmnopqrstuvwxyz"); template.sendBody(DIRECT_SPLIT, "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz"); mockEndpoint.assertIsSatisfied(); } @ComponentScan(basePackageClasses = { CamelContext.class, SplitRoute.class }) @Configuration public static class ContextConfiguration { } }

  And the actual route:

import org.apache.camel.builder.RouteBuilder; import org.springframework.stereotype.Component; @Component public class SplitRoute extends RouteBuilder { public static final String ROUTE_ID = "SPLIT_ROUTE"; public static final String DIRECT_SPLIT = "direct:split"; public static final String DIRECT_SENDER = "direct:sender"; @Override public void configure() throws Exception { from(DIRECT_SPLIT) .routeId(ROUTE_ID) .split().method(SplitIterator.class, "splitMessage") .to(DIRECT_SENDER); } }

  The route tested splits incoming messages in a new message for each 60 characters. The ‘direct’ scheme used in this example is useful for synchronous communication between routes. An important point is to add the adviceWith method which changes the output to mock:result URI. The scheme ‘mock’ in the URI is required when mocking. The @DirtiesContext is needed for the clean-up of the application context after a test.

Camel routes are not always easy to test in my opinion but there are support classes provided for JUnit. Like the ‘CamelTestSupport’ which provides a ‘CamelContext’ and a ‘ProducerTemplate’, the ‘ProducerTemplate’ is used to provide messages and these can be used as input for a route. Mocking classes are also provided and there is the CamelSpringRunner class for integration tests (Used in the example).

The future

Apache Camel could be very useful in a system with microservices. In this case you have many services working together and Camel can play a role in integration. For example when creating a API Gateway like described in this article: https://developers.redhat.com/blog/2016/11/07/microservices-comparing-diy-with-apache-camel/. The example in the linked article really shows that it’s possible to create an elegant solution to do multiple calls to different services and combine the results. It also shows that Apache Camel provides support for circuit breaking like Hystrix. Another nice addition is a component for communicating with a cache provider like Ehcache. For the future of Apache Camel I think it would be benefical to have more components for communication with cloud services. For AWS services, some components are available, but for Microsoft Azure and the Google Cloud platform not so much. Developers are still quite actively committing in the Apache Camel project so I expect more components will become available. An alternative to Apache Camel is for example Spring Integration, which has similar features, but people tend to favor the syntax of Apache Camel. Another alternative is Mule ESB, but this is a more ready-to-use platform than a framework.

Apache Camel looks like a solid framework, with a nice fluent API. It provides support for a lot of data sources. I would suggest using it in a service that is communicating and receiving data from/to a lot of different sources. For example, an API gateway or an aggregator service.

More information about Apache Camel can be found here : http://camel.apache.org/articles.

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Easy integration between services with Apache Camel published first on https://medium.com/@TheTruthSpy

[tutorialspointexamples]

Java sql

Provides the API for accessing and processing data stored in a data source (usually a relational database) using the JavaTM programming language. This API includes a framework whereby different drivers can be installed dynamically to access different data sources. Although the JDBCTM API is mainly geared to passing SQL statements to a database, it provides for reading and writing data from any data source with a tabular format. The reader/writer facility, available through the javax.sql.RowSet group of interfaces, can be customized to use and update data from a spread sheet, flat file, or any other tabular data source. What are various DCL commands in SQL? Can you sort a column using a column alias? Is a null value same as zero or a blank space if not then what is the difference? How can you eliminate duplicate rows from a query result? Difference between TRUNCATE, DELETE and DROP commands? What is the difference between CHAR and VARCHAR2 datatype in SQL? What are the differences between sql and pl/sql? What are the transaction properties in sql? What is the sql case statement used for? How many types of aggregate functions are there in sql? What are scalar functions in sql? What is the difference between sql and mysql? What is the use of nvl function in sql? What do you mean by subquery? What are Indexes in SQL? How to create index in oracle sql? How to view index in oracle sql? How to get list of tables in oracle sql Difference between clustered and nonclustered indexes in oracle sql? How to update with select subquery in sql server Explain different types of index in sql server What is JavaScript? What are the advantages of JavaScript? What are the disadvantages of JavaScript? Is JavaScript a case-sensitive language? How to use external JavaScript file? How to create javascript object? How to add method to javascript object? What does the isNaN() function? What is the difference between undefined value and null value? 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What are the types of repository in maven? Explain Maven repository search order What is local repository in maven? What is central repository in maven? What is remote repository in maven? What is maven plugin used for? What are the types of maven plugins? What is archetype in maven? How profiles are specified in maven? How can you build your project offline? How to exclude dependency in maven? Java cloning deep and shallow Shallow vs Clone copy Write a java program to find duplicate elements in an array? Write a java program to find second largest element in an array of integers? Write a java program to check the equality of two arrays? Write a java program to find all pairs of elements in an integer array whose sum is equal to a given number? Write a java program to find continuous sub array whose sum is equal to a given number? Write a java program to find the intersection of two arrays? Write a java program to separate zeros from non-zeros in an integer array? Write a java program to find all the leaders in an integer array? Write a java program to find a missing number in an integer array? Write a java program to convert an array to ArrayList and an ArrayList to array? Write a java program to count occurrences of each element in an array? Write a java program to reverse an array without using an additional array? Write a java program to remove duplicate elements from an array? Write a java program to find union and intersection of multiple arrays? Write a java program to find the most frequent element in an array? Java interview programs Java array interview questions Java array interview programs Java star pattern programs Java number pattern programs Spring security tutorial with examples Spring security overview Spring security architecture diagram Spring security maven dependency Spring security hello world xml example Spring security hello world annotation example Spring security custom login xml example Spring security custom login annotation example Spring security form login using database example Spring security limit login attempts example Spring security remember me example Spring security password encoder example Spring security hibernate xml example Spring security hibernate annotation example Spring boot tutorial with examples Spring boot overview Spring boot architecture diagram Spring boot components Spring boot starter parent in pom maven repo Spring boot web app configuration Run spring boot application from command line Spring boot hello world example Spring boot jsp example Spring boot restful web services example Spring boot common application properties Spring boot change default tomcat port Spring boot change context path Spring boot configuration properties example Spring boot slf4j example Spring boot ajax example Spring boot with mysql database example Spring boot with hibernate example How to log sql statements in spring boot? 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[andrewmawby]

Friday Favorites: Easy Building Projects + Porch Swing Shed

Friday again — HOORAY! And it’s almost feeling like spring here, and like it might stick around and not snow again… maybe! This week’s  Friday Favorites features some beautiful spaces, as always, and some great building projects — some easy, some a little more intensive, but all beautiful and DIY!

(Remember, our Remodelaholics Anonymous link sharing has now moved over to our blogger group on Facebook, and we have a new Remodelaholics Anonymous group for anyone, blog or not, to join and share projects, ask questions, and get inspired!)

Friday Favorites

This post contains affiliate links. Learn more and read our full disclosure policy here. 

Favorite easy build: Jaime Costiglio build this easy and affordable mirror with storage and my kiddos each need one! Just enough space to keep the hair supplies organized without having all.the.things.everywhere.

Favorite nook: I can’t decide which area I like more, the reading nook or the open closet space! I’d have to be way more organized and minimalist than I am right now, but I love the functionality of that closet that @andreak_covelladesigns shared in the #imaremodelaholic tag!

Favorite BIG style on a small budget: This big colorful art piece at Lantern Lane Designs was affordable and easy, woohoo! And the colors are gorgeous!

Favorite dream-house entry: All of you with NO real entry space — I’m there with you and I love visiting homes like this beauty that not only have a generous entryway but that fill it with such classic style! The board and batten! The settee! The flooring and rug! The sconces! So gorgeous! (Photo ©Remodelaholic | Home built by Hatfield Construction)

  Favorite new shoe storage idea: Shoe storage is a perpetual problem at our house. We use our IKEA cubbies (although I’ve been wanting to build one of these mail sorters for shoe storage for ages, too!) and I like this easy build from BuildSomething. Perfect for a garage or back door, and easy to customize when it’s time to pull out the winter boots, too!

Favorite color to paint furniture: Okay, I could have a new favorite furniture color every week. From coral to reddish orange to yellow to blue — I like bright bold colored furniture a lot. So when I saw this beautiful build that @abbottsathome painted this gorgeous teal color, a new favorite was born. Now I just have to decide where to use it in my home!

Favorite neutral: Neutrals can be so calming, and this bedroom by An Inspired Nest captures the neutral calm while mixing patterns and textures impeccably, from the bedspread to the baskets to the rug.

Favorite black and white but not boring: Speaking of monochromatic and beautiful, this bathroom does it so well!

You can find the striped shower curtain here and while we couldn’t find the exact art prints on the wall, we found some similar digital downloads available over on Etsy that make art like this super affordable  — or wouldn’t this be adorable with custom portraits of your dog(s) like this!

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Favorite outdoor space: I’m ignoring the fact that “spring” so far here in Utah has looked more like a ping-pong game between snow and 70 degree temps and instead gawking over this gorgeous porch swing cabana-style shed. It takes a lot to replace this firepit pergola with swings at the top of my outdoor wish list, but I think this might do it We saw it over on Facebook and tracked it down to House Plus Love, so go see more photos and get the details there.

  Favorite barn doors: You knew I couldn’t go a week without finding a new door to love! This whole setup is lovely and those beautiful wooden barn doors are just the icing on the @realitydaydream cake.

Have a great week!

(Remember, our Remodelaholics Anonymous link sharing has now moved over to our blogger group on Facebook, and we have a new Remodelaholics Anonymous group for anyone, blog or not, to join and share projects, ask questions, and get inspired!)

The post Friday Favorites: Easy Building Projects + Porch Swing Shed appeared first on Remodelaholic.

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