Jackson JSON Processor
AWSLambdaJavaAuroraServerlessV2DataApi | Jackson JSON Processor | |
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7 | 23 | |
2 | 8,854 | |
- | 1.1% | |
7.5 | 6.6 | |
about 2 months ago | about 2 months ago | |
Java | ||
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AWSLambdaJavaAuroraServerlessV2DataApi
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 6 Comparing cold and warm starts between Data API and JDBC
In our experiment we'll re-use the application introduced in the part 1. You can find the source code here. For the executing those experiments we need to deploy the following SAM template template-with-and-without-data-api-and-rds-proxy.yaml by executing sam deploy -t template-with-and-without-data-api-and-rds-proxy.yaml.
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How to set up Amazon RDS Proxy for Amazon Aurora (Serverless) database cluster and connect AWS Lambda function to it
We'll focus on the part where Lambda connects through RDS Proxy to Aurora database. As the code sample we will use what we have created as part of the Data API for Amazon Aurora Serverless v2 with AWS SDK for Java series, and the project can be found on my GitHub repository. The relevant part of the Infrastructure as a Code can be found in this AWS SAM template.
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 5 Basic cold and warm starts measurements
In our experiment we'll re-use the application introduced in the part 1 which source code you can find here. There are basically 2 Lambda functions which both respond to the API Gateway requests to store and retrieve product received from the API Gateway from Amazon PostgreSQL Aurora Serverless v2.
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 4 Working with database transactions
which contains the information about the user and user address which will be stored within one transaction in the 2 corresponding separate tables of the PostgreSQL database. In the "Transactional Example" in the READme where I described the creation of those tables and sequences.
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 3 Executing update and insert SQL statements in batch
To show the database transaction capability I used the same sample application but added the possibility to create the multiple products within HTTP PUT /products request (see the CreateProductsDataApiFunction Lambda definition in the SAM template). The corresponding Lambda function expects the JSON as HTTP body like :
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 2 Executing SQL statements
In order to use the new Data API we need include the following dependency to the pom.xml
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 1 Introduction and set up of the sample application
For the purpose of the demonstration of the Data API I wrote the small application which I published in my GitHub account. Application basically has API Gateway in front Lambda which communicates with Aurora Serverless v2 PostgreSQL database via Data API to retrieve the product by id stored in the database.
Jackson JSON Processor
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 2 Executing SQL statements
We can then easily convert this string value into the array of Products using librares like Jackson.
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Consuming and Testing third party API's using Spring Webclient
The above class maps the json data to a java object we can work with. We use Lombok to generate constructors, getters and setters for our code and the Jackson Project to handle serialization and deserialization of json to pojo . We know the response is an array of objects representing the coffee and so above data structure is fit for this.
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
Jackson. Because JSON.
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Create a custom Jackson JsonSerializer und JsonDeserializer for mapping values
For my series of articles, I also wanted to see how this requirement to mapping values could be implemented with Jackson.
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Is rust serde unique?
In practical terms, Jackson achieves the same purpose for Java. It was born as a Json parser, but nowadays supports multiple formats and it's widely used in the Java community.
- Recommend packages for formatting JSON for a command line Java program?
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Forward Compatible Enum Values in API with Java Jackson
How can Jackson library help you out?
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Generate Kotlin client for a complex web API
jackson
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Primeiros passos no desenvolvimento Java em 2023: um guia particular
Jackson para lidar com JSON;
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How to build a Snowflake API?
An example of a Snowflake API request using Java. This example uses Java’s built-in HttpClient and constructs JSON manually, so it doesn’t require additional dependencies; however, in production, you should use a library like Jackson for constructing JSON. Additionally, for stronger typing, you could use Apollo’s Kotlin-based GraphQL client.
What are some alternatives?
MapStruct - An annotation processor for generating type-safe bean mappers
Moshi - A modern JSON library for Kotlin and Java.
Gson - A Java serialization/deserialization library to convert Java Objects into JSON and back
Hibernate - Hibernate's core Object/Relational Mapping functionality
Carteasy - A Shopping cart library for Android that allows you add to add items to cart and retrieve at ease using JSONObjects.
Yasson - Eclipse Yasson project
record-builder - Record builder generator for Java records
infobip-spring-data-querydsl - Infobip Spring Data Querydsl provides new functionality that enables the user to leverage the full power of Querydsl API on top of Spring Data repository infrastructure.
Lombok - Very spicy additions to the Java programming language.
Spring - Spring Framework
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
Jackson - Core part of Jackson that defines Streaming API as well as basic shared abstractions