Android 17 incluye excelentes funciones y APIs para desarrolladores. En las siguientes secciones, se resumen estas funciones para ayudarte a comenzar a usar las APIs relacionadas.
Para obtener una lista detallada de las APIs nuevas, modificadas y quitadas, consulta el informe de diferencias de la API. Para obtener detalles sobre las nuevas APIs, consulta la referencia de la API de Android. Las nuevas APIs están destacadas para que sea más fácil identificarlas.
También debes revisar las áreas en las que los cambios en la plataforma podrían afectar tus apps. Para obtener más información, consulta las siguientes páginas:
- Cambios de comportamiento que afectan a las apps cuando se segmentan para Android 17
- Cambios de comportamiento que afectan a todas las apps, independientemente de
targetSdkVersion.
Funcionalidad principal
Android 17 agrega las siguientes funciones nuevas relacionadas con la funcionalidad principal de Android.
Nuevos activadores de 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 de 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.
Reduce los bloqueos de activación con compatibilidad de objetos de escucha para las alarmas de 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.
Privacidad
Android 17 incluye las siguientes funciones nuevas para mejorar la privacidad del usuario.
Compatibilidad con la plataforma Encrypted Client Hello (ECH)
Android 17 introduces platform support for Encrypted Client Hello (ECH), a significant privacy enhancement for network communications. ECH is a TLS 1.3 extension that encrypts the Server Name Indication (SNI) during the initial TLS handshake. This encryption helps protect user privacy by making it more difficult for network intermediaries to identify the specific domain an app is connecting to.
The platform now includes the necessary APIs for networking libraries to
implement ECH. This includes new capabilities in DnsResolver to query for
HTTPS DNS records containing ECH configurations, and new methods in Conscrypt's
SSLEngines and SSLSockets to enable ECH by passing in these configurations when
connecting to a domain. Developers can configure ECH preferences, such as
enabling it opportunistically or mandating its use, through the new
<domainEncryption> element within the Network Security Configuration file,
applicable globally or on a per-domain basis.
Popular networking libraries such as HttpEngine, WebView, and OkHttp are expected to integrate these platform APIs in future updates, making it easier for apps to adopt ECH and enhance user privacy.
For more information, see the Encrypted Client Hello documentation.
Selector de contactos de 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.
Seguridad
Android 17 agrega las siguientes funciones nuevas para mejorar la seguridad de los dispositivos y las apps.
Modo de Protección avanzada de Android (AAPM)
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.
Firma de APK con 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.)
Conectividad
Android 17 agrega las siguientes funciones para mejorar la conectividad de los dispositivos y las apps.
Redes satelitales restringidas
Implements optimizations to enable apps to function effectively over low-bandwidth satellite networks.
Experiencia del usuario y la IU del sistema
Android 17 incluye los siguientes cambios para mejorar la experiencia del usuario.
Flujo de volumen exclusivo del Asistente
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
Handoff is a new feature and API coming to Android 17 that app developers can integrate with to provide cross-device continuity for their users. It allows the user to start an app activity on one Android device and transition it to another Android device. Handoff runs in the background of a user's device and surfaces available activities from the user's other nearby devices through various entry points, like the launcher and taskbar, on the receiving device.
Apps can designate Handoff to launch the same native Android app, if it is installed and available on the receiving device. In this app-to-app flow, the user is deep-linked to the designated activity. Alternatively, app-to-web Handoff can be offered as a fallback option or directly implemented with URL Handoff.
Handoff support is implemented on a per-activity basis. To enable Handoff, call
the
setHandoffEnabled()
method for the activity. Additional data may need to be passed along with the
handoff so the recreated activity on the receiving device can restore
appropriate state. Implement the
onHandoffActivityDataRequested()
callback to return a
HandoffActivityData object which
contains details that specify how Handoff should handle and recreate the
activity on the receiving device.
Actualización en vivo: API de color semántico
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 de UWB Downlink-TDoA para Android 17
La medición del tiempo de diferencia de llegada (TDoA) de vínculo descendente (DL-TDoA) permite que un dispositivo determine su posición relativa con respecto a varios anclajes midiendo los tiempos de llegada relativos de las señales.
En el siguiente fragmento, se muestra cómo inicializar Ranging Manager, verificar las capacidades del dispositivo y comenzar una sesión 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
}
}
}
Configuraciones fuera de banda (OOB)
El siguiente fragmento proporciona un ejemplo de datos de configuración OOB de DL-TDoA para Wi-Fi y 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
};
Si no puedes usar una configuración OOB porque falta o si necesitas cambiar los valores predeterminados que no están en la configuración OOB, puedes compilar parámetros con DlTdoaRangingParams.Builder como se muestra en el siguiente fragmento. Puedes usar estos parámetros en 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();