# room Published articles for room. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## September 09, 2026 DevFeed: [September 09, 2026]() Original publisher: [Read original article]() Published: 2026-09-09T17:00:00Z Content type: release Language: en Sources: [AndroidX Release Notes]() Topics: [Jetpack](), [releases](), [Release notes](), [Compose](), [Library]() Tags: [benchmark](), [compose](), [jetpack](), [latest-release](), [libraries](), [lifecycle](), [navigation](), [release-notes](), [room](), [security](), [sqlite](), [tracing](), [ui]() ### AI overview This Android developer page lists AndroidX library components across four release channels and provides recent release dates and version information. It also links to component release histories, archived release notes, and the current versions page. ### Source excerpt Activity Version 1.14.0-alpha02 Annotation Version 1.11.0-rc01 Benchmark Version 1.5.0 Car App Version 1.9.0-alpha02 Collection Version 1.7.0-alpha01 Compose Animation Version 1.12.1 Compose Animation Version 1.13.0-alpha03 Compose Foundation Version 1.12.1 Compose Foundation Version 1.13.0-alpha03 Compose Material Version 1.12.1 Compose Material Version 1.13.0-alpha03 Compose Material3 Version 1.5.0-alpha28 Compose Material3 Adaptive Version 1.4.0-alpha02 Compose Remote Version 1.0.0-alpha19 Compose Remote Foundation Version 1.0.0-alpha02 Compose Runtime Version 1.12.1 Compose Runtime Version 1.13.0-alpha03 Compose Ui Version 1.12.1 Compose Ui Version 1.13.0-alpha03 Core Uwb Version 1.1.0-alpha02 Credentials Providerevents Version 1.0.0-beta01 Datastore Version 1.3.0-alpha11 Emoji2 Version 1.7.0-rc01 Glance Adaptive Version 1.0.0-alpha02 Glance Wear Version 1.0.0-alpha18 Heifwriter Version 1.2.0-alpha02 Ink Version 1.1.0-alpha08 Lifecycle Version 2.12.0-alpha03 Mediarouter Version 1.9.0-alpha02 Navigation Version 2.10.1 Navigation3 Version 1.2.0-rc01 Room Version 2.8.5 Room3 Version 3.0.3 Room3 Version 3.1.0-alpha01 Savedstate Version 1.6.0-alpha03 Security Version 1.0.0 Security Version 1.1.0 Sqlite Version 2.7.1 Sqlite Version 2.8.0-alpha01 Tracing Version 2.0.2 Wear Compose Version 1.7.0-rc01 Wear Compose Remote Version 1.0.0-alpha11 Webkit Version 1.18.0-alpha01 Xr Arcore Version 1.0.0-rc01 Xr Glimmer Version 1.0.0-alpha19 Xr Projected Version 1.0.0-alpha12 Xr Runtime Version 1.0.0-rc01 Xr Runtime Version 1.1.0-alpha01 Xr Scenecore Version 1.0.0-rc01 ## Room Debug DAOs in Android: Streamlining Your Workflow DevFeed: [Room Debug DAOs in Android: Streamlining Your Workflow]() Original publisher: [Read original article]() Author: blundell Published: 2025-02-22T20:53:27Z Content type: tutorial Language: en Sources: [Blundell]() Topics: [LineageOS](), [debug](), [Tutorial](), [Databases](), [Persistence](), [Code generation]() Tags: [android](), [androiddev](), [code-generation](), [database](), [debug](), [debug-tools](), [developer-tools](), [intermediate](), [persistence](), [reference](), [reference-androiddev-database-debug-tools-room](), [room](), [tutorial]() ### AI overview This tutorial explains how to create debug-only Room DAOs in Android using separate debug and release source sets. The approach adds developer-focused database operations, such as deleting all cached items, to debug builds while keeping them unavailable in production builds. ### Source excerpt This blog post explains how to create Room DAOs specifically for your Android debug build. These debug-only DAOs enable you to implement developer-centric features without affecting your production app. Keeping your codebase clean is essential for long-term maintainability. Debug-only DAOs help achieve this by isolating developer tools from user-facing features. Consider an app that caches [...] The post Room Debug DAOs in Android: Streamlining Your Workflow first appeared on Blundell. ## QueryBuilder: How I wrote a runtime SQL query generator for an Android app DevFeed: [QueryBuilder: How I wrote a runtime SQL query generator for an Android app]() Original publisher: [Read original article]() Author: Sanskar Agrawal Published: 2022-02-07T12:05:01Z Content type: tutorial Language: en Sources: [Sanskar's Stuff]() Topics: [Android](), [SQL](), [Databases](), [Kotlin](), [Object-relational mapping](), [SQLite](), [kotlin-flow](), [coding]() Tags: [android](), [app-development](), [coding](), [database](), [kotlin](), [kotlin-flow](), [orm](), [room](), [sorting](), [sql](), [sqlite]() ### AI overview A developer explains how an Android app called Transactions uses Room ORM over SQLite and Kotlin Flow, then describes the need for incremental sorting and filtering. The article compares filtering Kotlin lists with writing custom DAO methods for every query combination, motivating a runtime SQL query generator. ### Source excerpt I've been building an app called Transactions for some time. As the name suggests, Transactions offers you the capability to track your income and expenses made through cash or digital mediums. I mostly wrote it for my personal use, but it caught on ... ## Android Worldwide: January 2022 DevFeed: [Android Worldwide: January 2022]() Original publisher: [Read original article]() Author: Siddhesh Patil Published: 2022-01-26T18:32:16Z Content type: article Language: en Sources: [Sid Patil - Android Engineer and Kotlin Advocate]() Topics: [Android](), [Kotlin Multiplatform](), [Kotlin](), [SQLite](), [Database](), [Mobile](), [Concurrency]() Tags: [ana-zharkova](), [android](), [android-events-in-mumbai](), [android-talks-2022](), [ash-davis](), [best-android-developer-communities](), [better-gradle-dependencies](), [concurrency](), [ed-george](), [gabor-varadi](), [gde-talks](), [gdg-groups](), [gema-rodriguez](), [improving-gradle](), [jetpack-compose](), [kmm](), [kotlin](), [kotlin-for-ios](), [kotlin-multiplatform](), [kotlin-mumbai](), [kotlin-user-groups](), [kshitij-chauhan](), [mohit-sarveiya](), [multiplatform](), [multithreading](), [performance](), [rashanjyot-arora](), [room](), [ryan-kay](), [sdk](), [shared-flows-in-kotlin](), [sierra-obryan](), [sqlite](), [william-shelor]() ### AI overview Android Worldwide announces its January 25-26, 2022 sessions, covering Kotlin Multiplatform memory management, SQLite and Room performance, and full-text search. The article also introduces the event speakers and participating communities. ### Source excerpt We kickstart 2022 at Android Worldwide with a two days session on January 25th & 26th. This quarter we cover different topics ranging from managing memory at multiplatform level with Kotlin, maxing out the performance of your SQLite database, implementing FTS for faster database querying and much more! ## Building Reactive UIs with LiveData and SavedStateHandle (or equivalent approaches) DevFeed: [Building Reactive UIs with LiveData and SavedStateHandle (or equivalent approaches)]() Original publisher: [Read original article]() Author: Gabor Varadi Published: 2020-10-04T19:53:05Z Content type: tutorial Language: en Sources: [Stories by Gabor Varadi on Medium]() Topics: [reactive](), [Android](), [Jetpack](), [RxJava]() Tags: [android](), [android-app-development](), [coroutine](), [jetpack](), [lifecycle](), [livedata](), [observable](), [reactive](), [reactive-programming](), [room](), [rxjava](), [savedstatehandle]() ### AI overview This article explains LiveData as a reactive, observable, lifecycle-aware data holder for Android applications. It argues that LiveData remains useful alongside RxJava and Kotlin coroutines because its lifecycle activation states allow it to represent reactive data sources, including Room-backed data that refreshes after invalidation. ### Source excerpt Building Reactive UIs with LiveData and SavedStateHandle (or equivalent approaches like Rx) You can also follow the related discussion thread on /r/android_devs. LiveData is a misunderstood beast. Every so often, you see comments like "LiveData does not belong in Repositories", or that with the existence of RxJava, Coroutine Channels, or Coroutine Flows -- there's "no reason to use LiveData at all". While there are components in these libraries that have overlapping responsibilities (BehaviorRelay, ConflatedBroadcastChannel, MutableStateFlow), that doesn't mean LiveData is useless. With the relatively new additions to Jetpack, such as the liveData { coroutine builder, LiveData is actually quite interesting. What is LiveData? If you try to find a definition for LiveData, you'll find that it's a "reactive, observable, lifecycle-aware data holder". We know it can be observed, and we know it holds 1 data value that is re-emitted for any new observer (and any changes made to it are also emitted), just like any BehaviorRelay. But what makes it special? Due to LiveData's lifecycle-awareness, it comes with its own "activation state" ( onActive and onInactive). It lets you know when there is an active observer, and when there are no longer any active observers. The trick is that this makes it far more than "just an every-day data holder". This allows LiveData to represent reactive datasources. I'd even wager that this is the original purpose for which LiveData was created, if Room's ComputableLiveData is any indication (as that also relies on onActive to trigger the refresh of the query results, if the table had been invalidated by a write to it). Why do I want reactive datasources? If you have data or state that can change over time, it's significantly easier to be notified of changes, than it is to poll for possible changes (and potentially miss out on changes if we tried to fetch data at the wrong time). This means that by using an "observer" (or change listener), we can r ## SQLite Triggers (+ Android Room) DevFeed: [SQLite Triggers (+ Android Room)]() Original publisher: [Read original article]() Published: 2020-01-17T00:00:00Z Content type: tutorial Language: en Sources: [Vasya Drobushkov]() Topics: [SQLite](), [SQL](), [Android](), [Mobile]() Tags: [android](), [logging](), [room](), [schema](), [sql](), [sqlite](), [triggers]() ### AI overview A tutorial explaining SQLite triggers, including their syntax, BEFORE, AFTER, and INSTEAD OF modes, and how they respond to database events. It discusses limitations around application callbacks and suggests logging table changes as a practical use case, with Android Room included in the title. ### Source excerpt Introduction SQLite is one of the most used database. This is because it is used on almost all mobile devices in the world. As SQLite is very similar to SQL everyone already knows the basic concepts like querying, inserting, updating, deleting data; databases and tables; joining tables etc. But SQLite also has some advanced features and this article is about one of such called Trigger. If we try to speculate on the name "Trigger" we might say that probably something will be done when some changes are made to the database. And we're pretty close to the truth. ## 即刻多端实时通信实践 DevFeed: [即刻多端实时通信实践]() Original publisher: [Read original article]() Author: Joway Published: 2018-09-18T00:00:00Z Content type: article Language: zh Sources: [Random Thoughts]() Topics: [Socket.IO](), [WebSocket](), [Redis](), [Load Balancing](), [Back end](), [Publish-subscribe pattern]() Tags: [backend](), [channel](), [clients](), [cluster](), [load-balancing](), [nodejs](), [redis](), [room](), [socket](), [tech](), [websocket]() ### AI overview This Chinese technical article explains how Jike's jike-io real-time communication infrastructure is built with socket.io. It describes server-to-client WebSocket notifications, per-user rooms, HTTP requests for business operations, socket.io's fallback and reconnection behavior, and Redis-based distribution across nodes, including sticky load balancing and the associated message-broadcast overhead. It also discusses connection spikes and Node.js bottlenecks. ### Source excerpt 背景 jike-io 是即刻基于 socket.io 构建的一个实时通信基础设施。目前客户端上的所有实时通信服务都是建立在其基础上，涵盖了私信、消息通知、用户反馈、活动页小游戏等诸多组件。 在目前即刻的实时通信设计里，我们的实时通信只是为了让服务端主动推送消息给客户端，客户端不会主动通过 websocket 发送消息。由于几乎我们所有需要发送消息的请求都会有一定业务逻辑在，而这个业务逻辑我们并不希望 websocket 连接层(jike-io)去处理，所以我们仍旧采用传统 HTTP 请求的方式去发送请求。至于之后是否需要推送消息给用户，由服务端调用 jike-io 的接口进行实现。 ## Getting Started With Room Persistence Library DevFeed: [Getting Started With Room Persistence Library]() Original publisher: [Read original article]() Author: Adam McNeilly Published: 2017-06-10T00:00:00Z Content type: tutorial Language: en Sources: [Android Essence]() Topics: [Library](), [Persistence](), [Database](), [SQLite](), [Development](), [To-Do]() Tags: [android](), [android-architecture](), [android-development](), [architecture-components](), [code](), [component](), [database](), [dependencies](), [google](), [interface](), [kotlin](), [library](), [list](), [migrations](), [persistence](), [published](), [room](), [rxjava](), [sqlite](), [tutorial]() ### AI overview This tutorial introduces Android's Room Persistence Library, an abstraction layer over SQLite, and demonstrates building a todo list with Room and RxJava. It covers project setup, entities, DAOs, CRUD methods, RxJava integration, and the AppDatabase class. ### Source excerpt This year at Google I/O, the Android team announced Android Architecture Components a combination of new, helpful libraries for Android development. One that particularly interested me was the Room Persistence Library, which is an abstraction layer of SQLite designed to make database access and creation a lot easier. Right off the bat it reminded me of Realm, which I learned about at Droidcon NYC and really admired, so I decided to dive in and build a todo list using Room & RxJava.