O Android 17 introduz ótimos recursos e APIs novos para desenvolvedores. As seções a seguir resumem esses recursos para ajudar você a começar a usar as APIs relacionadas.
Para uma lista detalhada das APIs novas, modificadas e removidas, leia o Relatório de diferenças da API. Para ver detalhes sobre as novas APIs, acesse a Referência da API do Android. As APIs novas estão em destaque para melhor visibilidade.
Você também precisa analisar as áreas em que as mudanças na plataforma podem afetar seus apps. Para mais informações, consulte as seguintes páginas:
- Mudanças de comportamento que afetam apps destinados ao Android 17
- Mudanças de comportamento que afetam todos os apps, independentemente da
targetSdkVersion.
Principal recurso
O Android 17 adiciona os seguintes recursos relacionados à funcionalidade principal do Android.
Novos gatilhos do ProfilingManager
Android 17 adds several new system triggers to ProfilingManager to
help you collect in-depth data to debug performance issues.
The new triggers are:
TRIGGER_TYPE_COLD_START: Trigger occurs during app cold start. It provides both a call stack sample and a system trace in the response.TRIGGER_TYPE_OOM: Trigger occurs when an app throws anOutOfMemoryErrorand provides a Java Heap Dump in response.TRIGGER_TYPE_KILL_EXCESSIVE_CPU_USAGE: Trigger occurs when an app is killed due to abnormal and excessive CPU usage and provides a call stack sample in response.TRIGGER_TYPE_ANOMALY: Detect system performance anomalies such as excessive binder calls and excessive memory usage.
To understand how to set up the system trigger, see the documentation on trigger-based profiling and how to retrieve and analyze profiling data documentation.
Profiling trigger for app anomalies
Android 17
introduces an on-device anomaly detection service that monitors for
resource-intensive behaviors and potential compatibility regressions. Integrated
with ProfilingManager, this service allows your app to receive profiling
artifacts triggered by specific system-detected events.
Use the TRIGGER_TYPE_ANOMALY trigger to detect system performance issues
such as excessive binder calls and excessive memory usage. When an app breaches
OS-defined memory limits, the anomaly trigger allows developers to receive
app-specific heap dumps to help identify and fix memory issues. Additionally,
for excessive binder spam, the anomaly trigger provides a stack sampling profile
on binder transactions.
This API callback occurs prior to any system imposed enforcements. For example, it can help developers collect debug data before the app is terminated by the system for exceeding memory limits.
val profilingManager =
applicationContext.getSystemService(ProfilingManager::class.java)
val triggers = ArrayList<ProfilingTrigger>()
triggers.add(ProfilingTrigger.Builder(ProfilingTrigger.TRIGGER_TYPE_ANOMALY))
val mainExecutor: Executor = Executors.newSingleThreadExecutor()
val resultCallback = Consumer<ProfilingResult> { profilingResult ->
if (profilingResult.errorCode != ProfilingResult.ERROR_NONE) {
// upload profile result to server for further analysis
setupProfileUploadWorker(profilingResult.resultFilePath)
}
profilingManager.registerForAllProfilingResults(mainExecutor,
resultCallback)
profilingManager.addProfilingTriggers(triggers)
}
APIs JobDebugInfo
Android 17 introduces new JobDebugInfo APIs to help developers debug
their JobScheduler jobs--why they aren't running, how long they ran for, and
other aggregated information.
The first method of the expanded JobDebugInfo APIs is
getPendingJobReasonStats(), which returns a map of reasons why the job was in
a pending execution state and their respective cumulative pending
durations. This method joins the getPendingJobReasonsHistory() and
getPendingJobReasons() methods to give you insight into why a scheduled
job is not running as expected, but simplifies information retrieval by making
both duration and job reason available in a single method.
For example, for a specified jobId, the method might return
PENDING_JOB_REASON_CONSTRAINT_CHARGING and a duration of 60000 ms, indicating
the job was pending for 60000ms due to the charging constraint not being
satisfied.
Reduzir bloqueios de ativação com suporte de listener para alarmes allow-while-idle
Android 17
introduces a new variant of AlarmManager.setExactAndAllowWhileIdle that
accepts an OnAlarmListener instead of a PendingIntent. This new
callback-based mechanism is ideal for apps that currently rely on continuous
wakelocks to perform periodic tasks, such as messaging apps maintaining socket
connections.
Privacidade
O Android 17 inclui os seguintes novos recursos para melhorar a privacidade do usuário.
Suporte da plataforma para Encrypted Client Hello (ECH)
O Android 17 introduz suporte da plataforma para o Encrypted Client Hello (ECH), uma melhoria significativa de privacidade para comunicações de rede. O ECH é uma extensão do TLS 1.3 que criptografa a indicação de nome do servidor (SNI, na sigla em inglês) durante o handshake inicial do TLS. Essa criptografia ajuda a proteger a privacidade do usuário, dificultando que intermediários de rede identifiquem o domínio específico a que um app está se conectando.
A plataforma agora inclui as APIs necessárias para que as bibliotecas de rede implementem o ECH. Isso inclui novos recursos em DnsResolver para consultar
registros DNS HTTPS que contêm configurações de ECH e novos métodos nos SSLEngines e SSLSockets do Conscrypt para ativar o ECH transmitindo essas configurações ao
se conectar a um domínio. Os desenvolvedores podem configurar as preferências de ECH, como
ativá-lo de forma oportunista ou obrigar o uso dele, usando o novo
<domainEncryption> elemento no arquivo de configuração de segurança de rede,
aplicável globalmente ou por domínio.
Espera-se que bibliotecas de rede populares, como HttpEngine, WebView e OkHttp, integrem essas APIs da plataforma em atualizações futuras, facilitando a adoção do ECH pelos apps e aprimorando a privacidade do usuário.
Para mais informações, consulte a documentação do Encrypted Client Hello.
Seletor de contatos do Android
The Android Contact Picker is a standardized, browsable interface for users to
share contacts with your app. Available on devices running
Android 17 (API level 37) or higher, the picker offers a privacy-preserving
alternative to the broad READ_CONTACTS permission. Instead of requesting
access to the user's entire address book, your app specifies the data fields it
needs, such as phone numbers or email addresses, and the user selects specific
contacts to share. This grants your app read access to only the selected data,
ensuring granular control while providing a consistent user experience with
built-in search, profile switching, and multi-selection capabilities without
having to build or maintain the UI.
For more information, see the contact picker documentation.
Segurança
O Android 17 adiciona os seguintes recursos novos para melhorar a segurança de dispositivos e apps.
Modo de Proteção Avançada do Android (AAPM, na sigla em inglês)
Android Advanced Protection Mode offers Android users a powerful new set of security features, marking a significant step in safeguarding users—particularly those at higher risk—from sophisticated attacks. Designed as an opt-in feature, AAPM is activated with a single configuration setting that users can turn on at any time to apply an opinionated set of security protections.
These core configurations include blocking app installation from unknown sources
(sideloading), restricting USB data signaling, and mandating Google Play Protect
scanning, which significantly reduces the device's attack surface area.
Developers can integrate with this feature using the
AdvancedProtectionManager API to detect the mode's status, enabling
applications to automatically adopt a hardened security posture or restrict
high-risk functionality when a user has opted in.
Assinatura de APKs PQC
Android now supports a hybrid APK signature scheme to future-proof your app's signing identity against the potential threat of attacks that make use of quantum computing. This feature introduces a new APK Signature Scheme, which lets you pair a classical signing key (such as RSA or EC) with a new post-quantum cryptography (PQC) algorithm (ML-DSA).
This hybrid approach ensures your app remains secure against future quantum attacks while maintaining full backward compatibility with older Android versions and devices that rely on classical signature verification.
Impact on developers
- Apps using Play App Signing: If you use Play App Signing, you can wait for Google Play to give you the option to upgrade a hybrid signature using a PQC key generated by Google Play, ensuring your app is protected without requiring manual key management.
- Apps using self-managed keys: Developers who manage their own signing keys can utilize updated Android build tools (like apksigner) to rotate to a hybrid identity, combining a PQC key with a new classical key. (You must create a new classical key, you cannot reuse the older one.)
Conectividade
O Android 17 adiciona os seguintes recursos para melhorar a conectividade de dispositivos e apps.
Redes de satélite restritas
Implements optimizations to enable apps to function effectively over low-bandwidth satellite networks.
Experiência do usuário e interface do sistema
O Android 17 inclui as seguintes mudanças para melhorar a experiência do usuário.
Stream de volume dedicada do Google Assistente
Android 17 introduces a dedicated Assistant volume stream for Assistant apps,
for playback with USAGE_ASSISTANT. This change decouples Assistant audio
from the standard media stream, providing users with isolated control over both
volumes. This enables scenarios such as muting media playback while maintaining
audibility for Assistant responses, and the other way around.
Assistant apps with access to the new MODE_ASSISTANT_CONVERSATION audio
mode can further improve the volume control consistency. Assistant apps can use
this mode to provide a hint to the system about an active Assistant session,
ensuring the Assistant stream can be controlled outside of the active
USAGE_ASSISTANT playback or with connected Bluetooth peripherals.
Handoff
O Handoff é um novo recurso e API que chegará ao Android 17 e que os desenvolvedores de apps podem integrar para oferecer continuidade entre dispositivos aos usuários. Ele permite que o usuário inicie uma atividade de app em um dispositivo Android e a transfira para outro. O Handoff é executado em segundo plano no dispositivo de um usuário e mostra as atividades disponíveis dos outros dispositivos próximos do usuário em vários pontos de entrada, como a tela de início e a barra de tarefas, no dispositivo receptor.
Os apps podem designar o Handoff para iniciar o mesmo app Android nativo, se ele estiver instalado e disponível no dispositivo receptor. Nesse fluxo de app para app, o usuário é vinculado diretamente à atividade designada. Como alternativa, o Handoff de app para Web pode ser oferecido como uma opção de fallback ou implementado diretamente com o Handoff de URL.
O suporte ao Handoff é implementado por atividade. Para ativar o Handoff, chame
o
setHandoffEnabled()
método da atividade. Outros dados podem precisar ser transmitidos com a transferência para que a atividade recriada no dispositivo receptor possa restaurar o estado apropriado. Implemente o
onHandoffActivityDataRequested()
callback para retornar um
HandoffActivityData objeto que
contém detalhes que especificam como o Handoff precisa processar e recriar a
atividade no dispositivo receptor.
Atualização em tempo real: API de cores semânticas
With Android 17, Live Update launches the Semantic Coloring APIs to support colors with universal meaning.
The following classes support semantic coloring:
NotificationNotification.MetricNotification.ProgressStyle.PointNotification.ProgressStyle.Segment
Coloring
- Green: Associated with safety. This color should be used for the case where it lets people know you are in the safe situation.
- Orange: For designating caution and marking physical hazards. This color should be used in the situation where users need to pay attention to set better protection setting.
- Red: Generally indicates danger, stop. It should be presented for the case where need people's attention urgently.
- Blue: Neutral color for content that is informational and should stand out from other content.
The following example shows how to apply semantic styles to text in a notification:
val ssb = SpannableStringBuilder()
.append("Colors: ")
.append("NONE", Notification.createSemanticStyleAnnotation(SEMANTIC_STYLE_UNSPECIFIED), 0)
.append(", ")
.append("INFO", Notification.createSemanticStyleAnnotation(SEMANTIC_STYLE_INFO), 0)
.append(", ")
.append("SAFE", Notification.createSemanticStyleAnnotation(SEMANTIC_STYLE_SAFE), 0)
.append(", ")
.append("CAUTION", Notification.createSemanticStyleAnnotation(SEMANTIC_STYLE_CAUTION), 0)
.append(", ")
.append("DANGER", Notification.createSemanticStyleAnnotation(SEMANTIC_STYLE_DANGER), 0)
Notification.Builder(context, channelId)
.setSmallIcon(R.drawable.ic_icon)
.setContentTitle("Hello World!")
.setContentText(ssb)
.setOngoing(true)
.setRequestPromotedOngoing(true)
API UWB Downlink-TDoA para Android 17
O intervalo de tempo de chegada da diferença de downlink (DL-TDoA) permite que um dispositivo determine a posição dele em relação a várias âncoras medindo os tempos de chegada relativos dos sinais.
O snippet a seguir demonstra como inicializar o Ranging Manager, verificar os recursos do dispositivo e iniciar uma sessão de DL-TDoA:
Kotlin
class RangingApp {
fun initDlTdoa(context: Context) {
// Initialize the Ranging Manager
val rangingManager = context.getSystemService(RangingManager::class.java)
// Register for device capabilities
val capabilitiesCallback = object : RangingManager.RangingCapabilitiesCallback {
override fun onRangingCapabilities(capabilities: RangingCapabilities) {
// Make sure Dl-TDoA is supported before starting the session
if (capabilities.uwbCapabilities != null && capabilities.uwbCapabilities!!.isDlTdoaSupported) {
startDlTDoASession(context)
}
}
}
rangingManager.registerCapabilitiesCallback(Executors.newSingleThreadExecutor(), capabilitiesCallback)
}
fun startDlTDoASession(context: Context) {
// Initialize the Ranging Manager
val rangingManager = context.getSystemService(RangingManager::class.java)
// Create session and configure parameters
val executor = Executors.newSingleThreadExecutor()
val rangingSession = rangingManager.createRangingSession(executor, RangingSessionCallback())
val rangingRoundIndexes = byteArrayOf(0)
val config: ByteArray = byteArrayOf() // OOB config data
val params = DlTdoaRangingParams.createFromFiraConfigPacket(config, rangingRoundIndexes)
val rangingDevice = RangingDevice.Builder().build()
val rawTagDevice = RawRangingDevice.Builder()
.setRangingDevice(rangingDevice)
.setDlTdoaRangingParams(params)
.build()
val dtTagConfig = RawDtTagRangingConfig.Builder(rawTagDevice).build()
val preference = RangingPreference.Builder(DEVICE_ROLE_DT_TAG, dtTagConfig)
.setSessionConfig(SessionConfig.Builder().build())
.build()
// Start the ranging session
rangingSession.start(preference)
}
}
private class RangingSessionCallback : RangingSession.Callback {
override fun onDlTdoaResults(peer: RangingDevice, measurement: DlTdoaMeasurement) {
// Process measurement results here
}
}
Java
public class RangingApp {
public void initDlTdoa(Context context) {
// Initialize the Ranging Manager
RangingManager rangingManager = context.getSystemService(RangingManager.class);
// Register for device capabilities
RangingManager.CapabilitiesCallback capabilitiesCallback = new RangingManager.RangingCapabilitiesCallback() {
@Override
public void onRangingCapabilities(RangingCapabilities capabilities) {
// Make sure Dl-TDoA is supported before starting the session
if (capabilities.getUwbCapabilities() != null && capabilities.getUwbCapabilities().isDlTdoaSupported()) {
startDlTDoASession(context);
}
}
};
rangingManager.registerCapabilitiesCallback(Executors.newSingleThreadExecutor(), capabilitiesCallback);
}
public void startDlTDoASession(Context context) {
RangingManager rangingManager = context.getSystemService(RangingManager.class);
// Create session and configure parameters
Executor executor = Executors.newSingleThreadExecutor();
RangingSession rangingSession = rangingManager.createRangingSession(executor, new RangingSessionCallback());
byte[] rangingRoundIndexes = new byte[] {0};
byte[] config = new byte[0]; // OOB config data
DlTdoaRangingParams params = DlTdoaRangingParams.createFromFiraConfigPacket(config, rangingRoundIndexes);
RangingDevice rangingDevice = new RangingDevice.Builder().build();
RawRangingDevice rawTagDevice = new RawRangingDevice.Builder()
.setRangingDevice(rangingDevice)
.setDlTdoaRangingParams(params)
.build();
RawDtTagRangingConfig dtTagConfig = new RawDtTagRangingConfig.Builder(rawTagDevice).build();
RangingPreference preference = new RangingPreference.Builder(DEVICE_ROLE_DT_TAG, dtTagConfig)
.setSessionConfig(new SessionConfig.Builder().build())
.build();
// Start the ranging session
rangingSession.start(preference);
}
private static class RangingSessionCallback implements RangingSession.Callback {
@Override
public void onDlTdoaResults(RangingDevice peer, DlTdoaMeasurement measurement) {
// Process measurement results here
}
}
}
Configurações fora de banda (OOB)
O snippet a seguir fornece um exemplo de dados de configuração OOB de DL-TDoA para Wi-Fi e BLE:
Java
// Wifi Configuration
byte[] wifiConfig = {
(byte) 0xDD, (byte) 0x2D, (byte) 0x5A, (byte) 0x18, (byte) 0xFF, // Header
(byte) 0x5F, (byte) 0x19, // FiRa Sub-Element
(byte) 0x02, (byte) 0x00, // Profile ID
(byte) 0x06, (byte) 0x02, (byte) 0x20, (byte) 0x08, // MAC Address
(byte) 0x14, (byte) 0x01, (byte) 0x0C, // Preamble Index
(byte) 0x27, (byte) 0x02, (byte) 0x08, (byte) 0x07, // Vendor ID
(byte) 0x28, (byte) 0x06, (byte) 0xCA, (byte) 0xC8, (byte) 0xA6, (byte) 0xF7, (byte) 0x6F, (byte) 0x08, // Static STS IV
(byte) 0x08, (byte) 0x02, (byte) 0x60, (byte) 0x09, // Slot Duration
(byte) 0x1B, (byte) 0x01, (byte) 0x0A, // Slots per RR
(byte) 0x09, (byte) 0x04, (byte) 0xE8, (byte) 0x03, (byte) 0x00, (byte) 0x00, // Duration
(byte) 0x9F, (byte) 0x04, (byte) 0x67, (byte) 0x45, (byte) 0x23, (byte) 0x01 // Session ID
};
// BLE Configuration
byte[] bleConfig = {
(byte) 0x2D, (byte) 0x16, (byte) 0xF4, (byte) 0xFF, // Header
(byte) 0x5F, (byte) 0x19, // FiRa Sub-Element
(byte) 0x02, (byte) 0x00, // Profile ID
(byte) 0x06, (byte) 0x02, (byte) 0x20, (byte) 0x08, // MAC Address
(byte) 0x14, (byte) 0x01, (byte) 0x0C, // Preamble Index
(byte) 0x27, (byte) 0x02, (byte) 0x08, (byte) 0x07, // Vendor ID
(byte) 0x28, (byte) 0x06, (byte) 0xCA, (byte) 0xC8, (byte) 0xA6, (byte) 0xF7, (byte) 0x6F, (byte) 0x08, // Static STS IV
(byte) 0x08, (byte) 0x02, (byte) 0x60, (byte) 0x09, // Slot Duration
(byte) 0x1B, (byte) 0x01, (byte) 0x0A, // Slots per RR
(byte) 0x09, (byte) 0x04, (byte) 0xE8, (byte) 0x03, (byte) 0x00, (byte) 0x00, // Duration
(byte) 0x9F, (byte) 0x04, (byte) 0x67, (byte) 0x45, (byte) 0x23, (byte) 0x01 // Session ID
};
Se você não puder usar uma configuração OOB porque ela está faltando ou se precisar
mudar valores padrão que não estão na configuração OOB, crie parâmetros
com DlTdoaRangingParams.Builder, como mostrado no snippet a seguir. É possível usar
estes parâmetros no lugar de DlTdoaRangingParams.createFromFiraConfigPacket():
Kotlin
val dlTdoaParams = DlTdoaRangingParams.Builder(1)
.setComplexChannel(UwbComplexChannel.Builder()
.setChannel(9).setPreambleIndex(10).build())
.setDeviceAddress(deviceAddress)
.setSessionKeyInfo(byteArrayOf(0x01, 0x02, 0x03, 0x04))
.setRangingIntervalMillis(240)
.setSlotDuration(UwbRangingParams.DURATION_2_MS)
.setSlotsPerRangingRound(20)
.setRangingRoundIndexes(byteArrayOf(0x01, 0x05))
.build()
Java
DlTdoaRangingParams dlTdoaParams = new DlTdoaRangingParams.Builder(1)
.setComplexChannel(new UwbComplexChannel.Builder()
.setChannel(9).setPreambleIndex(10).build())
.setDeviceAddress(deviceAddress)
.setSessionKeyInfo(new byte[]{0x01, 0x02, 0x03, 0x04})
.setRangingIntervalMillis(240)
.setSlotDuration(UwbRangingParams.DURATION_2_MS)
.setSlotsPerRangingRound(20)
.setRangingRoundIndexes(new byte[]{0x01, 0x05})
.build();