Language Implementations

<!-- Maven coordinates for Java implementation -->
<dependency>
    <groupId>org.apache.avro</groupId>
    <artifactId>avro</artifactId>
    <version>1.12.0</version>
</dependency>

<!-- Additional Java modules -->
<dependency>
    <groupId>org.apache.avro</groupId>
    <artifactId>avro-compiler</artifactId>
    <version>1.12.0</version>
</dependency>

<dependency>
    <groupId>org.apache.avro</groupId>
    <artifactId>avro-ipc</artifactId>
    <version>1.12.0</version>
</dependency>

<dependency>
    <groupId>org.apache.avro</groupId>
    <artifactId>avro-tools</artifactId>
    <version>1.12.0</version>
</dependency>

// Basic serialization
Schema schema = new Schema.Parser().parse(schemaJson);
GenericRecord record = new GenericData.Record(schema);
record.put("field", value);

// Code generation
SpecificRecord specificRecord = MyRecord.newBuilder()
    .setField(value)
    .build();

# Installation
pip install avro-python3==1.12.0

# Alternative installation
pip install apache-avro==1.12.0

import avro.schema
import avro.io
import json

# Load schema
schema = avro.schema.parse(open("schema.avsc").read())

# Serialize data
writer = avro.io.DatumWriter(schema)
bytes_writer = io.BytesIO()
encoder = avro.io.BinaryEncoder(bytes_writer)
writer.write(record, encoder)

# NPM installation
npm install avro-js@1.12.0

# Yarn installation  
yarn add avro-js@1.12.0

const avro = require('avro-js');

// Parse schema
const schema = avro.parse(schemaJson);

// Serialize/deserialize
const buffer = schema.toBuffer(record);
const deserialized = schema.fromBuffer(buffer);

# CMake configuration
find_package(Avro REQUIRED)
target_link_libraries(your_target Avro::avro)

# Compiler flags
set(CMAKE_CXX_STANDARD 11)

#include <avro/Encoder.hh>
#include <avro/Decoder.hh>

// Serialize
avro::EncoderPtr encoder = avro::binaryEncoder();
avro::encode(*encoder, record);

// Deserialize  
avro::DecoderPtr decoder = avro::binaryDecoder();
avro::decode(*decoder, record);

<!-- NuGet package reference -->
<PackageReference Include="Apache.Avro" Version="1.12.0" />

using Avro;
using Avro.IO;

// Serialize
var writer = new BinaryEncoder(stream);
var datumWriter = new GenericDatumWriter<GenericRecord>(schema);
datumWriter.Write(record, writer);

// Deserialize
var reader = new BinaryDecoder(stream);
var datumReader = new GenericDatumReader<GenericRecord>(schema, schema);
var result = datumReader.Read(null, reader);

# Language implementation matrix
implementations:
  c:
    location: "lang/c"
    status: "maintained"
    buildSystem: "autotools"
    features: ["serialization", "deserialization"]
    
  perl:
    location: "lang/perl"
    status: "maintained"  
    package: "Avro"
    features: ["serialization", "deserialization", "schema_validation"]
    
  php:
    location: "lang/php"
    status: "maintained"
    package: "avro-php"
    features: ["serialization", "deserialization"]
    
  ruby:
    location: "lang/ruby"
    status: "maintained"
    gem: "avro"
    features: ["serialization", "deserialization", "schema_resolution"]
    
  rust:
    location: "lang/rust"
    status: "active_development"
    crate: "apache-avro"
    features: ["serialization", "deserialization", "async_io", "compression"]

// C implementation
#include <avro.h>

avro_schema_t schema;
avro_schema_from_json_literal(schema_json, &schema);

avro_value_t value;
avro_generic_value_new(schema, &value);

# Perl implementation
use Avro::Schema;
use Avro::BinaryEncoder;

my $schema = Avro::Schema->parse($schema_json);
my $encoder = Avro::BinaryEncoder->new();
$encoder->encode($schema, $data);

<?php
// PHP implementation
require_once 'avro.php';

$schema = Avro\Schema::parse($schema_json);
$io = new Avro\IO\StringIO();
$encoder = new Avro\IO\BinaryEncoder($io);
$writer = new Avro\DataFile\DataFileWriter($io, $encoder, $schema);

# Ruby implementation
require 'avro'

schema = Avro::Schema.parse(schema_json)
writer = Avro::IO::DatumWriter.new(schema)
encoder = Avro::IO::BinaryEncoder.new(stringio)
writer.write(datum, encoder)

// Rust implementation
use apache_avro::{Schema, Writer, Reader};

let schema = Schema::parse_str(schema_json)?;
let mut writer = Writer::new(&schema, Vec::new());
writer.append(record)?;

# Compatibility testing matrix
compatibility_tests:
  interop_data:
    location: "share/test/data"
    formats: ["json", "binary"]
    schemas: ["primitive", "complex", "recursive"]
    
  round_trip_tests:
    serialization: "language_a -> binary -> language_b"
    schema_evolution: "schema_v1 -> data -> schema_v2"
    rpc_communication: "client_lang -> server_lang"
    
  validation_suite:
    schema_parsing: true
    data_validation: true
    protocol_compliance: true
    performance_benchmarks: true

# Run cross-language compatibility tests
./build.sh interop-test

# Test specific language pair  
./build.sh test-interop java python

# Validate schema compatibility
avro-tools validate schema.avsc
avro-tools compatibility --reader new_schema.avsc --writer old_schema.avsc

# Implementation selection criteria
selection_guide:
  performance_critical:
    recommended: ["java", "c++", "rust"]
    reason: "Optimized native performance"
    
  web_development:
    recommended: ["javascript", "java", "csharp"]
    reason: "Rich ecosystem and tooling"
    
  data_science:
    recommended: ["python", "java", "r"]
    reason: "Integration with analytics frameworks"
    
  systems_programming:
    recommended: ["c", "c++", "rust"]
    reason: "Low-level control and efficiency"
    
  enterprise_applications:
    recommended: ["java", "csharp", "python"]
    reason: "Enterprise framework integration"
    
  feature_completeness:
    tier1: ["java"]           # Full feature set
    tier2: ["python", "c++"]  # Most features
    tier3: ["javascript", "csharp", "rust"]  # Core features
    tier4: ["c", "perl", "php", "ruby"]      # Basic features