public void AppendFile()
{
ListSerializable <User> users = new UserList();
users.Add(new User("Toto", "Titi"));
users.Add(new User("Tata", "Roro"));
IWriter <User> writer = new DefaultWriter <User>(new UserBasicSerializer());//take default serializer
writer.Write <UserList>(users, TxtFile);
ListSerializable <User> OtherUsers = new UserList();
OtherUsers.Add(new User("lala", "lala"));
OtherUsers.Add(new User("test", "test"));
writer.Append <UserList>(OtherUsers, TxtFile, "users");
StringList lines = FileReader.ReadLines(TxtFile);
Assert.AreEqual("Toto Titi", lines[0]);
Assert.AreEqual("Tata Roro", lines[1]);
Assert.AreEqual("lala lala", lines[2]);
Assert.AreEqual("test test", lines[3]);
}
public override byte[] EncodeStructuredModeMessage(CloudEvent cloudEvent, out ContentType contentType)
{
Validation.CheckCloudEventArgument(cloudEvent, nameof(cloudEvent));
contentType = new ContentType(CloudEvent.MediaType + MediaTypeSuffix);
// We expect the Avro encoded to detect data types that can't be represented in the schema.
GenericRecord record = new GenericRecord(avroSchema);
record.Add(DataName, cloudEvent.Data);
var recordAttributes = new Dictionary <string, object>();
recordAttributes[CloudEventsSpecVersion.SpecVersionAttribute.Name] = cloudEvent.SpecVersion.VersionId;
foreach (var keyValuePair in cloudEvent.GetPopulatedAttributes())
{
var attribute = keyValuePair.Key;
var value = keyValuePair.Value;
// TODO: Create a mapping method in each direction, to have this logic more clearly separated.
var avroValue = value is bool || value is int || value is byte[] || value is string
?value
: attribute.Format(value);
recordAttributes[attribute.Name] = avroValue;
}
record.Add(AttributeName, recordAttributes);
MemoryStream memStream = new MemoryStream();
BinaryEncoder encoder = new BinaryEncoder(memStream);
avroWriter.Write(record, encoder);
return(memStream.ToArray());
}
public byte[] EncodeStructuredEvent(CloudEvent cloudEvent, out ContentType contentType)
{
contentType = new ContentType(CloudEvent.MediaType + AvroEventFormatter.MediaTypeSuffix);
GenericRecord record = new GenericRecord(avroSchema);
record.Add(DataName, SerializeData(cloudEvent.Data));
var recordAttributes = new Dictionary <string, object>();
recordAttributes[CloudEventsSpecVersion.SpecVersionAttribute.Name] = cloudEvent.SpecVersion.VersionId;
foreach (var keyValuePair in cloudEvent.GetPopulatedAttributes())
{
var attribute = keyValuePair.Key;
var value = keyValuePair.Value;
// TODO: Create a mapping method in each direction, to have this logic more clearly separated.
var avroValue = value is bool || value is int || value is byte[] || value is string
?value
: attribute.Format(value);
recordAttributes[attribute.Name] = avroValue;
}
record.Add("attribute", recordAttributes);
MemoryStream memStream = new MemoryStream();
BinaryEncoder encoder = new BinaryEncoder(memStream);
avroWriter.Write(record, encoder);
return(new Span <byte>(memStream.GetBuffer(), 0, (int)memStream.Length).ToArray());
}
/**
* This is an example function that creates an Avro schema object based on pre-defined Avro JSON-like schema. It then
* adds some example data into the record fields, creates a buffer associated with the record, and sends the buffer
* out through UDP connection.
**/
public static void sender()
{
/**
* Creating a schema object by loading schema object file (.avsc)
* Example.AVSC looks like this:
*
* {"namespace": "example.avro",
* "type": "record",
* "name": "User",
* "fields": [
* {"name": "name", "type": "string"},
* {"name": "favorite_number", "type": ["int", "null"]},
* {"name": "favorite_color", "type": ["string", "null"]}
* ]
* }
**/
var schema = RecordSchema.Parse(File.ReadAllText(@"C:\Users\user\src\example.avsc")) as RecordSchema;
//Passing in schema object to get a record object
var exampleRecorder = new GenericRecord(schema);
//Filling out records with the corresponding schema
exampleRecorder.Add("name", "myExample");
exampleRecorder.Add("favorite_number", 999);
exampleRecorder.Add("favorite_color", "read");
//Creating an Avro buffer stream
ByteBufferOutputStream buffer = new ByteBufferOutputStream();
//Wraping the buffer stream with the encoder that does low level serialization
Avro.IO.Encoder encoder = new BinaryEncoder(buffer);
//Creating a writer with the corresponding schema object
var writer = new DefaultWriter(schema);
//Write (serialize) record object into buffer outputStream with encoder
writer.Write <GenericRecord>(exampleRecorder, encoder);
//And flush
buffer.Flush();
//Creating a UDP client
UdpClient udpClient = new UdpClient(0);
//Connect to endpoint with host and port number arguments
udpClient.Connect("my_udp_end_point.com", 9999);
//Get buffer list from buffer stream
List <MemoryStream> bufferList = buffer.GetBufferList();
//For each memory stream, creating a byte array, and deliver the byte array to endpoint
//You actually do not need a foreach loop, because you will only have one memory stream
foreach (MemoryStream ms in bufferList)
{
byte[] bufferArray;
bufferArray = ms.ToArray();
udpClient.Send(bufferArray, bufferArray.Length);
}
udpClient.Close();
}
public byte[] EncodeStructuredEvent(CloudEvent cloudEvent, out ContentType contentType)
{
contentType = new ContentType(CloudEvent.MediaType + AvroEventFormatter.MediaTypeSuffix);
GenericRecord record = new GenericRecord(avroSchema);
var recordAttributes = new Dictionary <string, object>();
var attributes = cloudEvent.GetAttributes();
foreach (var keyValuePair in attributes)
{
if (keyValuePair.Value == null)
{
continue;
}
if (keyValuePair.Value is ContentType && !string.IsNullOrEmpty(((ContentType)keyValuePair.Value).MediaType))
{
recordAttributes[keyValuePair.Key] = ((ContentType)keyValuePair.Value).ToString();
}
else if (keyValuePair.Value is Uri)
{
recordAttributes[keyValuePair.Key] = ((Uri)keyValuePair.Value).ToString();
}
else if (keyValuePair.Value is DateTime)
{
recordAttributes[keyValuePair.Key] = ((DateTime)keyValuePair.Value).ToString("o");
}
else if (cloudEvent.SpecVersion == CloudEventsSpecVersion.V1_0 &&
keyValuePair.Key.Equals(CloudEventAttributes.DataAttributeName(cloudEvent.SpecVersion)))
{
if (keyValuePair.Value is Stream)
{
using (var sr = new BinaryReader((Stream)keyValuePair.Value))
{
record.Add("data", sr.ReadBytes((int)sr.BaseStream.Length));
}
}
else
{
record.Add("data", keyValuePair.Value);
}
}
else
{
recordAttributes[keyValuePair.Key] = keyValuePair.Value;
}
}
record.Add("attribute", recordAttributes);
MemoryStream memStream = new MemoryStream();
BinaryEncoder encoder = new BinaryEncoder(memStream);
avroWriter.Write(record, encoder);
return(new Span <byte>(memStream.GetBuffer(), 0, (int)memStream.Length).ToArray());
}
public byte[] Serialize(GenericRecord payload)
{
var buffer = new ByteBufferOutputStream();
var encoder = new BinaryEncoder(buffer);
var writer = new DefaultWriter(Schema);
writer.Write <GenericRecord>(payload, encoder);
buffer.Flush();
var streams = buffer.GetBufferList();
return(streams[0].ToArray());
}
static void Main(string[] args)
{
GenericRecord originalEvent;
GenericRecord deserializedEvent;
var timestamp = DateTime.UtcNow;
// Create a UserLoginEvent using GenericRecord
originalEvent = new GenericRecord(UserLoginEventSchema);
originalEvent.Add("timestamp", DateTimeToAvroTimestampMillis(timestamp));
originalEvent.Add("userID", "blachniet");
originalEvent.Add("wasSuccessful", true);
using (var memoryStream = new MemoryStream())
{
// Write the record to a memory stream
{
var binaryEncoder = new BinaryEncoder(memoryStream);
var defaultWriter = new DefaultWriter(UserLoginEventSchema);
defaultWriter.Write(originalEvent, binaryEncoder);
binaryEncoder.Flush();
}
// Reset the stream position before we read it
memoryStream.Position = 0;
// Read the record from the memory stream
{
var binaryDecoder = new BinaryDecoder(memoryStream);
var defaultReader = new DefaultReader(UserLoginEventSchema, UserLoginEventSchema);
deserializedEvent = defaultReader.Read <GenericRecord>(null, binaryDecoder);
}
}
Console.WriteLine($@"
Original Event:
timestamp : {originalEvent["timestamp"]}
userID : {originalEvent["userID"]}
wasSuccessful : {originalEvent["wasSuccessful"]}
Deserialized Event:
timestamp : {deserializedEvent["timestamp"]}
userID : {deserializedEvent["userID"]}
wasSuccessful : {deserializedEvent["wasSuccessful"]}
Press 'Enter' to exit.
".TrimStart());
Console.ReadLine();
}
public void AppendFileWithInvalidFile()
{
ListSerializable <User> users = new UserList();
users.Add(new User("Toto", "Titi"));
users.Add(new User("Tata", "Roro"));
IWriter <User> writer = new DefaultWriter <User>(new UserBasicSerializer());//take default serializer
writer.Write <UserList>(users, TxtFile);
ListSerializable <User> OtherUsers = new UserList();
OtherUsers.Add(new User("lala", "lala"));
OtherUsers.Add(new User("test", "test"));
writer.Append <UserList>(OtherUsers, "invalid.json", "users");
}
/// <summary>
/// Write a record using the v1 schema which doesn't have the 'fieldB' field. Read that
/// data using the v2 schema, which has 'fieldB' with 'bravo' as the default value.
/// </summary>
static void WriteV1ReadV2()
{
GenericRecord originalEntry;
GenericRecord deserializedEntry;
// Create an entry using the v1 schema
originalEntry = new GenericRecord(EntryV1Schema);
originalEntry.Add("fieldA", "Hello");
using (var memoryStream = new MemoryStream())
{
// Write the record using the v1 schema
{
var binaryEncoder = new BinaryEncoder(memoryStream);
var writer = new DefaultWriter(EntryV1Schema);
writer.Write(originalEntry, binaryEncoder);
}
memoryStream.Position = 0;
// Read the record using the v2 schema
{
var binaryDecoder = new BinaryDecoder(memoryStream);
var defaultReader = new DefaultReader(EntryV1Schema, EntryV2Schema);
deserializedEntry = defaultReader.Read <GenericRecord>(null, binaryDecoder);
}
}
Console.WriteLine($@"
V1 --> V2
---------------------------------------
Original Entry (v1):
fieldA: {originalEntry["fieldA"]}
fieldB: <does not exist in v1>
Deserialized Entry (v2):
fieldA: {deserializedEntry["fieldA"]}
fieldB: {deserializedEntry["fieldB"]}
".TrimStart());
}
/// <summary>
/// Write a record using the v2 schema. Read that data using the v1 schema, which doesn't
/// have the 'fieldB' field.
/// </summary>
static void WriteV2ReadV1()
{
GenericRecord originalEntry;
GenericRecord deserializedEntry;
originalEntry = new GenericRecord(EntryV2Schema);
originalEntry.Add("fieldA", "Hello");
originalEntry.Add("fieldB", "World");
using (var memoryStream = new MemoryStream())
{
{
var binaryEncoder = new BinaryEncoder(memoryStream);
var writer = new DefaultWriter(EntryV2Schema);
writer.Write(originalEntry, binaryEncoder);
}
memoryStream.Position = 0;
{
var binaryDecoder = new BinaryDecoder(memoryStream);
var defaultReader = new DefaultReader(EntryV2Schema, EntryV1Schema);
deserializedEntry = defaultReader.Read <GenericRecord>(null, binaryDecoder);
}
}
Console.WriteLine($@"
V2 --> V1
---------------------------------------
Original Entry (v2):
fieldA: {originalEntry["fieldA"]}
fieldB: {originalEntry["fieldB"]}
Deserialized Entry (v1):
fieldA: {deserializedEntry["fieldA"]}
fieldB: <does not exist in v1>
".TrimStart());
}
public void GenericReaderDefault()
{
ListSerializable <User> users = new UserList();
users.Add(new User("Toto", "Titi"));
users.Add(new User("Tata", "Roro"));
IWriter <User> write = new DefaultWriter <User>();
write.Write <UserList>(users, CsvFile);
IGenericReader <User> reader = new DefaultReader <User>();
ListSerializable <User> usersToCompare = reader.read <UserList>(CsvFile);
Assert.IsNotNull(usersToCompare);
Assert.AreEqual(users[0].Firstname, usersToCompare[0].Firstname);
Assert.AreEqual(users[0].Name, usersToCompare[0].Name);
Assert.AreEqual(users[1].Firstname, usersToCompare[1].Firstname);
Assert.AreEqual(users[1].Name, usersToCompare[1].Name);
}