Android 17 memperkenalkan fitur dan API baru yang hebat untuk para developer. Bagian berikut merangkum fitur ini untuk membantu Anda mulai menggunakan API terkait.
Untuk melihat daftar mendetail tentang API yang baru, diubah, dan dihapus, baca laporan perbedaan API. Untuk mengetahui detail tentang API baru, buka referensi API Android — API baru ditandai agar lebih mudah dilihat.
Anda juga harus meninjau area tempat perubahan platform dapat memengaruhi aplikasi Anda. Untuk informasi selengkapnya, lihat halaman berikut:
- Perubahan perilaku yang memengaruhi aplikasi saat menargetkan Android 17
- Perubahan perilaku yang memengaruhi semua aplikasi terlepas dari
targetSdkVersion.
Fungsi inti
Android 17 menambahkan fitur baru berikut yang terkait dengan fungsi Android inti.
Pemicu ProfilingManager baru
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)
}
JobDebugInfo API
Android 17 memperkenalkan API JobDebugInfo baru untuk membantu developer men-debug
tugas JobScheduler mereka--mengapa tugas tidak berjalan, berapa lama tugas berjalan, dan
informasi gabungan lainnya.
Metode pertama dari JobDebugInfo API yang diperluas adalah
getPendingJobReasonStats(), yang menampilkan peta alasan mengapa tugas berada dalam
status eksekusi tertunda dan durasi tertunda kumulatifnya masing-masing. Metode ini menggabungkan metode getPendingJobReasonsHistory() dan
getPendingJobReasons() untuk memberi Anda insight tentang alasan tugas terjadwal tidak berjalan seperti yang diharapkan, tetapi menyederhanakan pengambilan informasi dengan membuat durasi dan alasan tugas tersedia dalam satu metode.
Misalnya, untuk jobId yang ditentukan, metode dapat menampilkan
PENDING_JOB_REASON_CONSTRAINT_CHARGING dan durasi 60000 md, yang menunjukkan
tugas tertunda selama 60000 md karena batasan pengisian daya tidak
terpenuhi.
Mengurangi penguncian layar saat aktif dengan dukungan pemroses untuk alarm yang diizinkan saat perangkat dalam kondisi tidak aktif
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.
Privasi
Android 17 menyertakan fitur baru berikut untuk meningkatkan privasi pengguna.
Dukungan platform 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.
Pemilih kontak 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.
Keamanan
Android 17 menambahkan fitur baru berikut untuk meningkatkan keamanan perangkat dan aplikasi.
Mode Perlindungan Lanjutan 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.
Penandatanganan APK 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.)
Konektivitas
Android 17 menambahkan fitur berikut untuk meningkatkan konektivitas perangkat dan aplikasi.
Jaringan satelit yang dibatasi
Implements optimizations to enable apps to function effectively over low-bandwidth satellite networks.
Pengalaman pengguna dan UI sistem
Android 17 menyertakan perubahan berikut untuk meningkatkan pengalaman pengguna.
Aliran volume Asisten khusus
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
Penyerahan adalah fitur dan API baru yang akan hadir di Android 17 yang dapat diintegrasikan oleh developer aplikasi untuk memberikan kontinuitas lintas perangkat bagi pengguna mereka. Fitur ini memungkinkan pengguna memulai aktivitas aplikasi di satu perangkat Android dan mentransisikannya ke perangkat Android lain. Pengalihan berjalan di latar belakang perangkat pengguna dan menampilkan aktivitas yang tersedia dari perangkat terdekat pengguna lainnya melalui berbagai titik entri, seperti peluncur dan taskbar, di perangkat penerima.
Aplikasi dapat menetapkan Handoff untuk meluncurkan aplikasi Android native yang sama, jika aplikasi tersebut diinstal dan tersedia di perangkat penerima. Dalam alur aplikasi-ke-aplikasi ini, pengguna ditautkan secara mendalam ke aktivitas yang ditentukan. Atau, Penyerahan dari aplikasi ke web dapat ditawarkan sebagai opsi penggantian atau diterapkan langsung dengan Penyerahan URL.
Dukungan Handoff diimplementasikan per aktivitas. Untuk mengaktifkan Handoff, panggil
metode setHandoffEnabled() untuk aktivitas. Data tambahan mungkin perlu diteruskan bersama dengan pengalihan sehingga aktivitas yang dibuat ulang di perangkat penerima dapat memulihkan status yang sesuai. Terapkan callback
onHandoffActivityRequested() untuk menampilkan objek HandoffActivityData
yang berisi detail yang menentukan cara Handoff harus menangani dan membuat ulang
aktivitas di perangkat penerima.
Pembaruan Langsung - Semantic color API
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)
UWB Downlink-TDoA API untuk Android 17
Downlink Time Difference of Arrival (DL-TDoA) ranging lets a device determine its position relative to multiple anchors by measuring the relative arrival times of signals.
The following snippet demonstrates how to initialize the Ranging Manager, verify device capabilities, and start a DL-TDoA session:
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.CapabilitiesCallback {
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 = intArrayOf(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.CapabilitiesCallback() {
@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());
int[] rangingRoundIndexes = new int[] {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
}
}
}
Out-of-Band (OOB) Configurations
The following snippet provides an example of DL-TDoA OOB configuration data for Wi-Fi and 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
};
If you can't use an OOB configuration because it is missing, or if you need to
change default values that aren't in the OOB config, you can build parameters
with DlTdoaRangingParams.Builder as shown in the following snippet. You can use
these parameters in place of 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();