protocol-buffers

问题 I am looking for the protobuf-net equivalent to the C++ API Message::ByteSize to find out the serialized message length in bytes. 回答1: I haven't played with the C++ API, so you'll have to give me a bit more context / information. What does this method do? Perhaps a sample usage? If you are consuming data from a stream, there are "WithLengthPrefix" versions to automate limiting to discreet messages, or I believe the method to just read the next length from the stream is on the public API. If

问题 Has anyone heard of an enterprise grade database abstraction layer that builds on Google Protocol Buffers I can foresee such a DB tool set would have great possibilities from mobile computing all the way through to enterprise system development. 回答1: I reckon any key-value store (eg. Redis) will do? Maybe Riak would be a decent candidate as it provides a protobuf API. Eventually all you need to do is handle serialization and deserialization but that should be a rather thin layer on top of a

问题 I couldnt find a way to mask certain fields in protobuf structure. I did read about the FieldMaskUtil and tried few examples but it seems to do the reverse i.e copy fields which are mentioned in FieldMask which is different from what i wanted. Here's the sample structure and corresponding Test code. Proto: syntax = "proto3"; package model; option java_package = "test.demo.services.protobuf.customer.model"; option java_outer_classname = "CustomerProto"; message Accounts { repeated Account

问题 I'm using protobuf and I'm generating JAVA classes from the following proto file. syntax = "proto3"; enum Greeting { NONE = 0; MR = 1; MRS = 2; MISS = 3; } message Hello { Greeting greeting = 1; string name = 2; } message Bye { string name = 1; } option java_multiple_files = true; Now I need to add some code to the generated files and I found that is possible using a custom plugin (https://developers.google.com/protocol-buffers/docs/reference/java-generated#plugins). I'm trying to generate

问题 If I use the same .proto file, across several machine (arm, x86, amd64 etc.) with implementations written in different languages (c++, python, java, etc.), will the same message result in the exact same byte sequence when serialized across those different configurations? I would like to use these bytes for hashing to ensure that the same message, when generated on a different platform, would end up with the exact same hash. 回答1: "Often, but not quite always" The reasons you might get variance

问题 We're trying to use protobuf-net but having trouble understanding UseImplicitZeroDefaults which we now disable in a custom RuntimeTypeModel. We initially used the default RuntimeTypeModel but noticed boolean properties were not being cloned even though a DefaultValue was being specified, i.e. DefaultValue=true but when set to false the cloned property would always be true. We resolved this by creating a custom RuntimeTypeModel which has allowed us to set UseImplicitZeroDefaults to false. But

问题 We're trying to use protobuf-net but having trouble understanding UseImplicitZeroDefaults which we now disable in a custom RuntimeTypeModel. We initially used the default RuntimeTypeModel but noticed boolean properties were not being cloned even though a DefaultValue was being specified, i.e. DefaultValue=true but when set to false the cloned property would always be true. We resolved this by creating a custom RuntimeTypeModel which has allowed us to set UseImplicitZeroDefaults to false. But

问题 In my Python-based Spark task 'main.py', I reference a protobuf generated class 'a_pb2.py'. If I place all files in the root directory like / - main.py - a_pb2.py and zip a_pb2.py into 'proto.zip', then run spark-submit --py-files=proto.zip main.py everything runs as expected. However, if I move the protobuf classes to a package, organizing my files like / - main.py - /protofiles - __init__.py - a_pb2.py and zip /protofiles into 'proto.zip', then run spark-submit --py-files=proto.zip main.py

问题 In Google AppEngine(GAE) environment, I can do following to convert a Protobuf bytestring back to a Datastore model: from google.appengine.ext import db byte_str = .... model = db.model_from_protobuf(byte_str.decode("base64")) Outside of GAE, I normally use the google-cloud-datastore client to access Datastore models: from google.cloud import datastore ... client = datastore.Client(project_id) query = client.query(kind='Event', order=('-date',)) for result in query.fetch(limit=100): print

问题 I'm trying to implement save-file for application, by using Protocol Buffers by Google. Preparation A simple test .proto file has been created to test functionality: message LessonFile { optional string creator = 1; } Created .pb.cc and .pb.h are included into project. Lib and include directory are specified in project's properties. Problem Including newly generated code into project results application crash during runtime. By debugging crash state, it pointed on this function: