Android 17 では、デベロッパー向けに優れた新しい機能と API が導入されました。以下のセクションでは、これらの機能の概要を説明し、関連する API の使用を開始できるようにします。
新しい API、変更された API、削除された API の一覧については、API 差分レポートをご覧ください。新しい API について詳しくは、Android API リファレンスをご覧ください。新しい API は、見つけやすいようにハイライト表示されています。
また、プラットフォームの変更がアプリに影響する可能性がある領域についても確認する必要があります。詳しくは次のページをご覧ください。
コア機能
Android 17 では、Android のコア機能に関連する次の新機能が追加されています。
新しい ProfilingManager トリガー
Android 17 では、ProfilingManager にいくつかの新しいシステム トリガーが追加され、パフォーマンスの問題をデバッグするための詳細なデータを収集できるようになりました。
新しいトリガーは次のとおりです。
TRIGGER_TYPE_COLD_START: アプリのコールド スタート中にトリガーが発生します。レスポンスには、コールスタック サンプルとシステム トレースの両方が含まれます。TRIGGER_TYPE_OOM: アプリがOutOfMemoryErrorをスローし、レスポンスとして Java ヒープダンプを提供すると、トリガーが発生します。TRIGGER_TYPE_KILL_EXCESSIVE_CPU_USAGE: 異常な CPU 使用率や過剰な CPU 使用率が原因でアプリが強制終了されたときにトリガーが発生し、それに応じて実行中のバックグラウンド システム トレースのスナップショットが提供されます。TRIGGER_TYPE_ANOMALY: 過剰なバインダー呼び出しや過剰なメモリ使用量など、システム パフォーマンスの異常を検出します。
システム トリガーの設定方法については、トリガーベースのプロファイリング、プロファイルの取得とアップロード、プロファイリング データの分析に関するドキュメントをご覧ください。
アプリの異常に対するプロファイリング トリガー
Android 17 では、リソースを大量に消費する動作や互換性の低下をモニタリングする、オンデバイスの異常検出サービスが導入されています。このサービスは ProfilingManager と統合されており、システムが検出した特定のイベントによってトリガーされたプロファイリング アーティファクトをアプリが受信できるようにします。
TRIGGER_TYPE_ANOMALY トリガーを使用して、過剰なバインダー呼び出しや過剰なメモリ使用量などのシステム パフォーマンスの問題を検出します。アプリが OS で定義されたメモリ上限に違反すると、異常トリガーにより、デベロッパーはアプリ固有のヒープダンプを受け取って、メモリの問題を特定して修正できます。また、過剰なバインダー スパムの場合、異常トリガーはバインダー トランザクションのスタック サンプリング プロファイルを提供します。
この API コールバックは、システムによる違反措置が適用される前に発生します。たとえば、メモリ上限を超えたためにアプリがシステムによって終了される前に、デベロッパーがデバッグデータを収集するのに役立ちます。
fun registerAnomalyTrigger(context: Context) {
val profilingManager =
context.getSystemService(ProfilingManager::class.java) ?: return
val triggers = listOf(
ProfilingTrigger.Builder(ProfilingTrigger.TRIGGER_TYPE_ANOMALY).build()
)
val callbackExecutor: Executor = Executors.newSingleThreadExecutor()
val resultCallback = Consumer<ProfilingResult> { profilingResult ->
if (profilingResult.errorCode == ProfilingResult.ERROR_NONE) {
// Upload profile result to server for further analysis
profilingResult.resultFilePath?.let { setupProfileUploadWorker(it) }
}
}
profilingManager.registerForAllProfilingResults(
callbackExecutor,
resultCallback
)
profilingManager.addProfilingTriggers(triggers)
}
JobDebugInfo API
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.
アイドル状態でも許可されるアラームのリスナー サポートにより wake lock を削減
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.
プライバシー
Android 17 には、ユーザーのプライバシーを強化する次の新機能が追加されています。
Encrypted Client Hello(ECH)プラットフォームのサポート
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.
Android 連絡先選択ツール
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.
セキュリティ
Android 17 では、デバイスとアプリのセキュリティを強化するために、次の新機能が追加されています。
Android の高度な保護機能モード(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.
PQC APK 署名
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.)
接続
Android 17 では、デバイスとアプリの接続性を向上させるために、次の機能が追加されています。
制約のある衛星ネットワーク
Implements optimizations to enable apps to function effectively over low-bandwidth satellite networks.
ユーザー エクスペリエンスとシステム UI
Android 17 には、ユーザー エクスペリエンスを向上させるために、以下の変更が加えられています。
アシスタント専用の音量ストリーム
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.
引き継ぎ
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.
ライブ アップデート - 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)
Android 17 向け UWB Downlink-TDoA API
下行链路到达时间差 (DL-TDoA) 测距功能可让设备通过测量信号的相对到达时间来确定其相对于多个锚点的位置。以下代码段演示了如何初始化测距管理器、验证设备功能以及启动 DL-TDoA 会话:
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
}
}
}
带外 (OOB) 配置
以下代码段提供了 Wi-Fi 和 BLE 的 DL-TDoA OOB 配置数据示例:
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
};
如果您因缺少 OOB 配置而无法使用该配置,或者需要更改 OOB 配置中没有的默认值,则可以使用 DlTdoaRangingParams.Builder 构建参数,如以下代码段所示。您可以使用以下参数代替 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();