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十分钟让你明白AIDL

int a = data.readInt(); int b = data.readInt(); reply.writeInt...(a); data.writeInt(b); mClient.transact(CODE_ADD, data, reply, 0); int result...(a); data.writeInt(b); mClient.transact(CODE_MINUS, data, reply, 0); int result...(a); data.writeInt(b); remote.transact(CODE_ADD, data, reply,...(a); data.writeInt(b); remote.transact(CODE_MINUS, data, reply

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王小二：十分钟让你明白AIDL

int a = data.readInt(); int b = data.readInt(); reply.writeInt...int a = data.readInt(); int b = data.readInt(); reply.writeInt...mClient = ServiceManager.getService("command"); Parcel data = Parcel.obtain(); data.writeInt...(a); data.writeInt(b); Parcel reply = Parcel.obtain(); mClient.transact(code,...(a); data.writeInt(b); Parcel reply = Parcel.obtain(); mClient.transact(code,

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Android项目实战（十九）：Android Studio 优秀插件： Parcelable Code Generator Android Studi

(this.id); dest.writeString(this.url); dest.writeInt(this.width); dest.writeInt...(this.height); dest.writeInt(this.likeCount); dest.writeString(this.description);...dest.writeInt(this.time); dest.writeInt(this.replyCount); dest.writeInt(this.floorCount...); dest.writeInt(this.likeUserCount); dest.writeInt(this.age); dest.writeString...(this.sax); dest.writeInt(this.userid); } public People() { } protected People

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基于Netty和SpringBoot实现一个轻量级RPC框架-协议篇

out.writeInt(packet.getSerialNumber().length()); out.writeCharSequence(packet.getSerialNumber...(attachments.size()); // 附件内容 attachments.forEach((k, v) -> { out.writeInt...(k.length()); out.writeCharSequence(k, ProtocolConstant.UTF_8); out.writeInt(...out.writeInt(packet.getSerialNumber().length()); out.writeCharSequence(packet.getSerialNumber...(k.length()); out.writeCharSequence(k, ProtocolConstant.UTF_8); out.writeInt(

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Kivy A to Z — 怎样从python代码中直接訪问Android的Service「建议收藏」

(self,int val): self.writeInt32(val) def writeInt32(self,int val): return parcel_writeInt32...(netId) if disableOthers: _data.writeInt32(1) else: _data.writeInt32(0) mRemote.transact...(1) else: _data.writeInt(0) mRemote.transact(TRANSACTION_startScan, _data...(band) if persist: _data.writeInt32(1) else: _data.writeInt32(0) mRemote.transact..._data.writeInt32(1) else: _data.writeInt32(0) mRemote.transact(TRANSACTION_setWifiApEnabled

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Parcelable与Serializable

(requestCode); data.writeInt(startFlags); if (profilerInfo !...); } else { data.writeInt(0); } if (options !...= null) { data.writeInt(1); options.writeToParcel(data, 0); } else { data.writeInt...(-1); return; } //附件参数的长度 final int N = val.size(); //写入时Map的长度 writeInt(...VAL_SHORT); writeInt(((Short) v).intValue()); } else if (v instanceof Long) { writeInt

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手写 Parcelable 序列化和反序列化的具体过程

private var mNativePtr: Long = 0 init { mNativePtr = nativeCreate() } fun writeInt...mDataPos = 0;//当前指针位置 public: Parcel() { mData = (char *) malloc(1024); } void writeInt...jobject, jlong ptr, jint value) { Parcel *parcel = reinterpret_cast(ptr); parcel->writeInt...savedInstanceState) setContentView(R.layout.activity_main) var parcel = Parcel() parcel.writeInt...(5) parcel.writeInt(10) parcel.setDataPosition(0) var num1 = parcel.readInt

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Hadoop中如何正确编写继承自Writable接口的子类

然后是类型在序列化的时候写入后读取值不正确，一定要统一类型中write(DataOutput out)和readFields(DataInput in)中写入和读取参数的方法，例如一个int类型如果你在write()中使用writeInt... } @Override public void write(DataOutput out) throws IOException { if(content==null){ out.writeInt...0); }else{ // System.out.println("HttpContent write(): content.length="+content.length); out.writeInt...(content.length); out.write(content); } // System.out.println("Status="+status); out.writeInt...status); // System.out.println("encoding="+encoding); byte[] temp=encoding.getBytes("GBK"); out.writeInt

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Parcelable使用时java.lang.RuntimeException: Parcel android.os.Parcel@xxxx: Unmarshalling unknown typ...

dest.writeParcelable(thumbUri, 1); dest.writeLong(size); dest.writeLong(duration); dest.writeInt...(height); dest.writeInt(width); } 然而，在反序列化构造函数中，我遗漏了对这两个新字段的读取： private MediaItem(Parcel source)...height = source.readInt(); width = source.readInt(); } 注意：虽然上面的代码看起来“读写顺序一致”，但如果你在添加字段时只写了 writeInt...(height) 和 writeInt(width)，却忘了在构造函数中调用 readInt() 来读取它们，就会导致后续字段的读取错位，从而引发 BadParcelableException 或类型不匹配错误...(height); // 新增：写入 height dest.writeInt(width); // 新增：写入 width } @Override

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AIDL源码解析in、out和inout

@Override public void writeToParcel(Parcel dest, int flags) { dest.writeInt(bookId);...android.os.Parcelable.PARCELABLE_WRITE_RETURN_VALUE); } else { reply.writeInt...android.os.Parcelable.PARCELABLE_WRITE_RETURN_VALUE); } else { reply.writeInt...= null)) { _data.writeInt(1); book.writeToParcel(_data...= null)) { _data.writeInt(1); book.writeToParcel(_data

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Android 反序列化漏洞攻防史话

(0); _aidl_parcel.writeString(name); _aidl_parcel.writeInt(age); _aidl_parcel.writeInt(((...parcel->writeInt32(val) : OK; } 接下来就是最终实际的实现了: status_t Parcel::writeInt32(int32_t val) { return...writeInt(val[i]); } } else { writeInt(-1); } } 但是 wirteByteArray 有所优化: public...String) v); } else if (v instanceof Integer) { writeInt(VAL_INTEGER); writeInt((Integer...) p.writeInt(28) p.writeString("intent") // 4 + padSize((6 + 1) * 2) = 4+16 = 20 p.writeInt

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Parcel源码上手

nativeWriteLong(mNativePtr, val); } public final void writeInt...新的空间大小，是按照现有的内容大小的1.5倍扩容写入一个int值 Java层是调用的nativeWriteInt方法，实际走到了下面这里 static void android_os_Parcel_writeInt...= NULL) { const status_t err = parcel->writeInt32(val); //parcel指针调用parcel的writeInt32...} status_t Parcel::writeString16(const char16_t* str, size_t len) { if (str == nullptr) return writeInt32...(-1); // 先写入string的长度 status_t err = writeInt32(len); if (err == NO_ERROR) { len

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RPC项目记录二期 - Netty替换socket，实现网络传输，解编码器，序列化器

protected void encode(ChannelHandlerContext ctx, Object msg, ByteBuf out) throws Exception { out.writeInt...(MAGIC_NUMBER); if(msg instanceof RpcRequest) { out.writeInt(PackageType.REQUEST_PACK.getCode...()); } else { out.writeInt(PackageType.RESPONSE_PACK.getCode()); }...out.writeInt(serializer.getCode()); byte[] bytes = serializer.serialize(msg); out.writeInt

6886 1

Android native进程间通信实例-binder篇之——简单的单工通信

printf("MyBinderService onTransact readInt = %d\n", readInt); reply->writeInt32...transCode) { printf("please input int you need transfer: \n"); scanf("%d", &writeInt...); getchar(); data.writeInt32(writeInt); } binder->transact(transCode...其中data里面包含了传输的数据，可以通过readInt32读出数据，reply用来反馈，这里用writeInt32来写数据。...同样是用Parcel 这个数据类，writeInt32写数据，写完以后通过binder->transact(transCode, data, &reply);来传输数据。

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大数据-经典案例上行流量倒序排序（递减排序）

downCountFlow; } @Override public void write(DataOutput out) throws IOException { out.writeInt...(upFlow); out.writeInt(downFlow); out.writeInt(upCountFlow); out.writeInt(downCountFlow

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大数据-经典案例统计求和

downCountFlow; @Override public void write(DataOutput out) throws IOException { out.writeInt...(upFlow); out.writeInt(downFlow); out.writeInt(upCountFlow); out.writeInt(downCountFlow

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Android native进程间通信实例-binder篇之——HAL层访问JAVA层的服务

再看看ITextServicesManager.java中TRANSACTION_isSpellCheckerEnabled这个code的处理，果然write了两次，而第二次writeInt的值就是我们需要获取的...DESCRIPTOR); boolean _result = this.isSpellCheckerEnabled(); reply.writeNoException(); reply.writeInt...2. writeNoException 和 writeInt 最终调用的是 Parcel.cpp 里面writeInt32，所以reply部分要 readInt32 两次。 6.

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Java IO 好复杂，傻傻分不清楚，别担心，我们有线索了。。。

dataOutputStream = new DataOutputStream(outputStream); for(int i = 0; i < 10; i++) { dataOutputStream.writeInt...i); } dataOutputStream.close(); text.txt文件内容：里面保存的都是二进制数据，但是我们是用int的数据类型写进去的（dataOutputStream.writeInt...outputStream.write(2); outputStream.close(); 写入结果：如果用DataOutputStream 写就是：dataOutputStream.writeInt...(0)，dataOutputStream.writeInt(1)，dataOutputStream.writeInt(2)，这样是不简单很多呢？...看下FilterOutputStream的代码：写数据的功能是靠被修饰的类实现的，这里的OutputStream out 是要从外面传进来的： DataOutputStream的writeInt

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【Binder 机制】AIDL 分析 ( 创建 AIDL 文件 | 创建 Parcelable 类 | AIDL 中使用 Parcelable 类 | 编译工程生成 AIDL 对应的Java源文件 )

); } else { reply.writeInt(0); } return true;...android.os.Parcel.obtain(); try { _data.writeInterfaceToken(DESCRIPTOR); _data.writeInt...(anInt); _data.writeLong(aLong); _data.writeInt(((aBoolean)?...=null)) { _data.writeInt(1); student.writeToParcel(_data, 0); }...else { _data.writeInt(0); } boolean _status = mRemote.transact(Stub.TRANSACTION_addStudent

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以纯二进制的形式在内存中绘制一个对象

; bytes = new byte[24]; BinaryPrimitives.WriteInt64LittleEndian(bytes.AsSpan(8), typeof(Foobar...).TypeHandle.Value.ToInt64()); BinaryPrimitives.WriteInt32LittleEndian(bytes.AsSpan(16), foo);...BinaryPrimitives.WriteInt32LittleEndian(bytes.AsSpan(20), bar); Unsafe.Write(Unsafe.AsPointer(ref...由于x86机器采用“小端字节序”，所以二进制的写入最终是通过调用BinaryPrimitives的WriteInt32/64LittleEndian方法来完成的。...(bytes.AsSpan(16), 255); BinaryPrimitives.WriteInt32LittleEndian(bytes.AsSpan(20), 255); Debug.Assert

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点击加载更多

十分钟让你明白AIDL

王小二：十分钟让你明白AIDL

Android项目实战（十九）：Android Studio 优秀插件： Parcelable Code Generator Android Studi

基于Netty和SpringBoot实现一个轻量级RPC框架-协议篇

Kivy A to Z — 怎样从python代码中直接訪问Android的Service「建议收藏」

Parcelable与Serializable

手写 Parcelable 序列化和反序列化的具体过程

Hadoop中如何正确编写继承自Writable接口的子类

Parcelable使用时java.lang.RuntimeException: Parcel android.os.Parcel@xxxx: Unmarshalling unknown typ...

AIDL源码解析in、out和inout

Android 反序列化漏洞攻防史话

Parcel源码上手

RPC项目记录二期 - Netty替换socket，实现网络传输，解编码器，序列化器

Android native进程间通信实例-binder篇之——简单的单工通信

大数据-经典案例上行流量倒序排序（递减排序）

大数据-经典案例统计求和

Android native进程间通信实例-binder篇之——HAL层访问JAVA层的服务

Java IO 好复杂，傻傻分不清楚，别担心，我们有线索了。。。

【Binder 机制】AIDL 分析 ( 创建 AIDL 文件 | 创建 Parcelable 类 | AIDL 中使用 Parcelable 类 | 编译工程生成 AIDL 对应的Java源文件 )

以纯二进制的形式在内存中绘制一个对象

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