# Gson Published articles for Gson. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Gson Deserialization and the InaccessibleObjectException DevFeed: [Gson Deserialization and the InaccessibleObjectException]() Original publisher: [Read original article]() Author: Marcin Buczkowski Published: 2026-09-15T05:32:46Z Content type: tutorial Language: en Sources: [Baeldung]() Topics: [Exception](), [JSON](), [Tutorial](), [Java]() Tags: [exception](), [gson](), [how-to](), [java](), [json](), [json-gson](), [tutorial]() ### AI overview This tutorial explains how Java's strong encapsulation and the Java Platform Module System can cause InaccessibleObjectException when Gson deserializes JSON through reflection. It focuses on modular projects, date handling, and Gson's maintenance status. ### Source excerpt Learn how to resolve an InaccessibleObjectException when working with Gson and modern Java versions. The post Gson Deserialization and the InaccessibleObjectException first appeared on Baeldung. ## Kotlin Reflection: Method and property references DevFeed: [Kotlin Reflection: Method and property references]() Original publisher: [Read original article]() Published: 2023-10-16T00:15:00Z Content type: tutorial Language: en Sources: [Kt. Academy]() Topics: [Kotlin](), [Programming](), [classes](), [function](), [properties]() Tags: [classes](), [dependency-injection](), [functions](), [gson](), [interfaces](), [java](), [koin](), [kotlin](), [property](), [workshop-learning-programming]() ### AI overview This tutorial introduces Kotlin reflection, explaining how programs inspect classes, functions, properties, annotations, constructors, and other source-code elements at runtime. It also describes uses in Gson serialization, Koin dependency injection, and the hierarchy of Kotlin reflection reference types. ### Source excerpt The general hierarchy of Kotlin reference classes, and details about method and property references. ## Developing for Android with a local REST API server DevFeed: [Developing for Android with a local REST API server]() Original publisher: [Read original article]() Author: Sanskar Agrawal Published: 2022-12-26T09:17:38Z Content type: tutorial Language: en Sources: [Sanskar's Stuff]() Topics: [Android](), [REST API](), [Server](), [Development](), [HTTP](), [networking]() Tags: [android](), [backend](), [gson](), [http](), [local](), [networking](), [rest-api](), [retrofit](), [security](), [server]() ### AI overview This tutorial explains how to connect an Android app to a REST API server running locally on a development machine. It covers configuring endpoints, using the machine's local address and port, connecting an emulator or physical device, and enabling HTTP while avoiding that setting in production. ### Source excerpt When you're building an Android app, chances are that it'll be interacting with the internet in some way. More often than not, this is through the use of REST API. First, a refresher Ideally, you'd have a couple of base URLs, one for production usage... ## Kotlin JSON Benchmark on Android (2022): Moshi vs Kotlin Serialization DevFeed: [Kotlin JSON Benchmark on Android (2022): Moshi vs Kotlin Serialization]() Original publisher: [Read original article]() Author: Christophe Beyls Published: 2022-10-14T17:31:03Z Content type: comparison Language: en Sources: [Stories by Christophe Beyls on Medium]() Topics: [JSON](), [Kotlin](), [Benchmark](), [Gson](), [build times](), [Code generation](), [legacy]() Tags: [android-app-development](), [annotation-processor](), [benchmark](), [gson](), [json](), [kotlin](), [kotlin-serialization](), [legacy](), [moshi](), [performance](), [serialization](), [vs]() ### AI overview This article sets up a 2022 Android benchmark comparing Moshi and Kotlin Serialization for JSON serialization and deserialization of Kotlin classes. It discusses Kotlin metadata compatibility, generated adapters, reflection, streaming support, Okio integration, runtime dependencies, and build-time tradeoffs. The supplied text does not include the benchmark results or identify which library is fastest. ### Source excerpt When it comes to automatic serialization and deserialization of Kotlin classes using the JSON format, the two main libraries compatible with Kotlin metadata are currently Moshi and Kotlin Serialization. This compatibility is especially important for non-null types and default values during deserialization, where lack of proper Kotlin support could result in unexpected values occurring at runtime, such as null values in non-null fields. If you're still using legacy libraries like Gson to parse Kotlin classes, it's time to reconsider. Moshi has been supporting Kotlin classes since version 1.5.0, released in 2017. One year later, the next major release 1.6.0 added an annotation processor to generate adapters for Kotlin classes at compile time. I was quite interested in the performance gains allowed by this solution and wrote an article detailing what the generated code does. JetBrains released version 1.0.0 of Kotlin Serialization in 2020 with built-in support for JSON. This library generates adapters at compile time similarly to Moshi's annotation processor while being compatible with more platforms and formats. The lack of initial support for streaming was disappointing, so I didn't even consider using it in production until streaming support was eventually added in version 1.3.0 in 2021. The JSON engine had also been rewritten in the meantime in order to improve performance. Recently, version 1.4.0 added integration with the Okio library, the same library used by Moshi under the hood. Now that Kotlin Serialization looks full-featured and well-optimized, I thought it would be a good time to compare its performance against Moshi on Android devices with some benchmarks. Which one is the fastest? Take your bets. The contendersMoshi-Kotlin Reflection The runtime Kotlin plugin of the Moshi library. The JSON adapters are generated at runtime using reflection. The main downside of this library is that it adds a runtime dependency to the big kotlin-reflect library (currently ## Gson failure in end-to-end tests DevFeed: [Gson failure in end-to-end tests]() Original publisher: [Read original article]() Published: 2022-01-23T00:00:00Z Content type: article Language: en Sources: [Paweł Chudzik]() Topics: [Gson](), [Java](), [JSON](), [Testing](), [Jackson]() Tags: [e2e](), [enum](), [gson](), [jackson](), [java](), [json](), [tests](), [work]() ### AI overview This article explains that Gson can silently ignore JSON deserialization problems, such as an unknown enum value, allowing end-to-end tests to pass even when an API contract is broken. It contrasts this behavior with Jackson and describes migrating tests from Gson to Jackson. ### Source excerpt Using Gson in your e2e tests might result in tests passing even when contract is broken. Gson is quite imprecise when it comes to deserializing objects from json. Is there any difference between an enum and a string? Is there any difference between s string and a number? Using Java you might answer: sure there is. Even when talking about JSON you'll answer: yeah there is a difference. But for GSON? Meh whatever. Read more ## Custom Reactive JSON parsing DevFeed: [Custom Reactive JSON parsing]() Original publisher: [Read original article]() Published: 2021-06-08T00:00:00Z Content type: tutorial Language: en Sources: [Vasya Drobushkov]() Topics: [JSON](), [Parsing](), [Library](), [Android](), [client](), [multiplatform](), [Jetpack Compose]() Tags: [android](), [gson](), [jackson](), [jetpack-compose](), [json](), [json-parsing](), [moshi](), [multiplatform](), [parsing](), [serialization]() ### AI overview This tutorial introduces JSON parsing in Android applications, compares common libraries, and describes a pet-project weather app that bundles a JSON city list for offline selection. It notes that this approach involves workarounds and would not be suitable for production. ### Source excerpt Introduction Parsing JSON strings is a must-have on most Android projects that have server-client communication (of course there are some other formats like XML or Protobuf, but I guess JSON is the most common one at least at the moment). Setting up this communication is relatively straightforward: choose a library, add it to a project, describe models, create mappers, and so on. There are a bunch of various libraries to parse JSON: good old Gson, Jackson, or more modern Moshi, kotlinx-serialization and there are more. Set up of these libraries is different, there are differences in the internal implementation, but the general idea is the same for most of them: you can convert JSON-string into a set of objects and vice versa. ## Retrofit meets coroutines DevFeed: [Retrofit meets coroutines]() Original publisher: [Read original article]() Author: Márton Braun Published: 2019-02-15T22:00:00Z Content type: tutorial Language: en Sources: [zsmb.co]() Topics: [Coroutines](), [kotlin-coroutines](), [REST API](), [API]() Tags: [android](), [cancellation](), [coroutines](), [demo](), [exception](), [gson](), [implementation](), [kotlin](), [kotlin-coroutines](), [marton-braun](), [networking](), [rest-api](), [retrofit](), [serialization](), [zsmb](), [zsmb-co](), [zsmb13](), [zsmbco]() ### AI overview This tutorial explains how to use Retrofit 2.6.0 or later with Kotlin coroutines. It demonstrates coroutine-based API calls, Gson serialization, exception propagation, cancellation, and response-handling variants using the SpaceX REST API. ### Source excerpt Retrofit's coroutine support has been a long time coming, and it's finally coming to completion. Take a look at how you can use it to neatly integrate networking into an application built with coroutines. ## Advanced JSON parsing techniques using Moshi and Kotlin DevFeed: [Advanced JSON parsing techniques using Moshi and Kotlin]() Original publisher: [Read original article]() Author: Christophe Beyls Published: 2018-07-30T23:12:56Z Content type: tutorial Language: en Sources: [Stories by Christophe Beyls on Medium]() Topics: [JSON](), [Kotlin](), [Parsing](), [Parser](), [Android](), [Java](), [Library](), [Streaming]() Tags: [android-app-development](), [androiddev](), [code](), [gson](), [how-to](), [java](), [json](), [kotlin](), [moshi](), [parsing](), [performance](), [streaming]() ### AI overview A tutorial on parsing JSON with Moshi and Kotlin. It demonstrates manual streaming parsing, handling required and optional properties, skipping unknown values, and optimizing repeated key comparisons using Moshi and Okio. ### Source excerpt A match made in parser heaven Moshi is a modern JSON library for Android and Java from Square. It can be considered as the successor to GSON, with a simpler and leaner API and an architecture enabling better performance through the use of the Okio library. It's also the most Kotlin-friendly library you can use to parse JSON files, as it comes with Kotlin-aware extensions. In this article I'm going to demonstrate how to take advantage of features from both the Moshi library and the Kotlin language itself in order to write efficient and robust JSON parsers. The example model and JSON file Consider the following model representing a person: class Person(val id: Long, val name: String, val age: Int = -1) id and name are mandatory properties, while the age is optional with a default value of -1. Our objective is to load a list of Person objects in our application from a JSON file or stream with the following contents: [ { "id": 1, "name": "John", "age": 38 }, { "id": 8, "name": "Lisa", "age": 23 }, { "id": 23, "name": "Karen" } ] In this simple example, the JSON object key names exactly match the Person property names and the "age" key is also optional. 1. Fully manual parsing The most basic way of parsing JSON using Moshi is to use the streaming API, which is similar to the streaming API of GSON and the one provided by the Android Framework. This gives you the most control over the parsing process, which is especially useful when the JSON source is dirty. Typical code would look like this: class ManualParser { fun parse(reader: JsonReader): List { val result = mutableListOf() reader.beginArray() while (reader.hasNext()) { var id: Long = -1L var name: String = "" var age: Int = -1 reader.beginObject() while (reader.hasNext()) { when (reader.nextName()) { "id" -> id = reader.nextLong() "name" -> name = reader.nextString() "age" -> age = reader.nextInt() else -> reader.skipValue() } } reader.endObject() if (id == -1L || name == "") { throw JsonDataException ## How to use Retrofit on android with Kotlin (KAD 21) DevFeed: [How to use Retrofit on android with Kotlin (KAD 21)]() Original publisher: [Read original article]() Published: 2017-04-18T00:00:00Z Content type: tutorial Language: en Sources: [Antonio Leiva]() Topics: [Android](), [Kotlin](), [API](), [Library](), [Gradle](), [Gson](), [Java]() Tags: [android](), [api](), [build](), [gradle](), [gson](), [how-to](), [java](), [kotlin](), [okhttp](), [retrofit]() ### AI overview A Kotlin tutorial showing how to integrate Retrofit 2 into an Android application for making LastFM API requests. It covers Gradle dependencies, OkHttp logging, Gson conversion, request interfaces, service initialization, and making requests with extension functions. ### Source excerpt Everything Android, Kotlin and other random topics ## Moshi, another JSON Processor DevFeed: [Moshi, another JSON Processor]() Original publisher: [Read original article]() Author: Jesse Wilson Published: 2017-03-27T19:50:19Z Content type: opinion Language: en Sources: [Square Corner Blog](), [Square Corner Blog RSS Feed]() Topics: [JSON](), [Library](), [Gson](), [Dagger](), [Dependency injection](), [Mobile]() Tags: [android](), [dagger](), [dependency-injection](), [development](), [engineering](), [gson](), [json](), [library](), [moshi]() ### AI overview The article introduces Moshi, a JSON library created to apply lessons from Gson. It describes problems with Gson's date handling and lenient parsing, and explains Moshi's goal of being small, efficient, and safe by default. ### Source excerpt It's rare for a programmer to get to work on the same problem twice. Either the first is good enough and you're done, or it wasn't and... ## Getting Started With Retrofit In Android DevFeed: [Getting Started With Retrofit In Android]() Original publisher: [Read original article]() Author: Adam McNeilly Published: 2016-10-13T00:00:00Z Content type: tutorial Language: en Sources: [Android Essence]() Topics: [Android](), [Library](), [HTTP](), [Gson](), [Java](), [JSON](), [Gradle](), [API]() Tags: [android](), [api](), [build](), [class](), [code](), [dependencies](), [developer](), [getting-started](), [gradle](), [gson](), [http](), [implement](), [interface](), [java](), [json](), [library](), [list](), [model](), [models](), [request]() ### AI overview A beginner-to-intermediate tutorial explains how to create an Android application using Retrofit as an HTTP client. It covers Gradle dependencies, Gson JSON conversion, model classes, a service interface, API calls, and callbacks for completed requests. ### Source excerpt As a new or intermediate Android developer, getting started with Retrofit, a popular HTTP client, can seem pretty daunting. However, using this library is not as scary as it sounds. Here are four easy steps to creating your first Retrofit application! ## Droidcon Italy recap DevFeed: [Droidcon Italy recap]() Original publisher: [Read original article]() Author: info@jeroenmols.com (Jeroen Mols) Published: 2016-04-08T00:00:00Z Content type: article Language: en Sources: [Jeroen Mols]() Topics: [Development](), [User Experience](), [App](), [render](), [APK](), [configuration](), [Gson]() Tags: [android](), [apk](), [app](), [app-development](), [app-performance](), [blogs](), [conference](), [dependencies](), [design](), [designer](), [developer](), [developers](), [development](), [droidcon](), [experience](), [gson](), [lint](), [performance](), [proguard](), [recap](), [tools]() ### AI overview A recap of Droidcon Italy covering collaboration between developers and designers to improve user experience, Android layout rendering performance, and reducing DEX method counts through APK analysis, Proguard configuration, dependency cleanup, and tools such as ClassyShark. ### Source excerpt A conference about our favorite Green little robots? In sunny Italy? With great food and a party? Yeah, I can image how you must feel in case you missed it... I on the other hand was fortunate enough to attend and speak at this awesome conference. ## Retrofit 2.0 Samples DevFeed: [Retrofit 2.0 Samples]() Original publisher: [Read original article]() Author: Chris Hager Published: 2015-10-12T00:00:00Z Content type: tutorial Language: en Sources: [Chris Hager]() Topics: [Library](), [API](), [client library](), [Java](), [Gson](), [HTTP](), [Android](), [Gradle](), [JSON](), [GitHub]() Tags: [android](), [api](), [articles](), [client-library](), [github](), [gradle](), [gson](), [java](), [json](), [retrofit]() ### AI overview A tutorial on using Retrofit 2.0 beta to consume HTTP APIs in Java and Android applications. It covers project setup with Gradle, JSON serialization with Gson, API client definitions, and sample GET and POST requests against httpbin.org. ### Source excerpt This post is about using Retrofit 2.0 (beta) to consume HTTP based APIs. Retrofit is a great and popular API client library for Java (and by extension also for Android) developed by Square. Here's a few links to start things off: Retrofit Homepage Retrofit Source on Github Retrofit Javadoc Blog post about Retrofit 2.0 Source code with samples for this post is available on Github. Retrofit makes it easy to develop API clients by describing API endpoints and the results like this: