avsc vs avro-js
Data Serialization Libraries Comparison
1 Year
avscavro-js
What's Data Serialization Libraries?

Data serialization libraries facilitate the encoding of data structures into a format suitable for storage or transmission. They are crucial in scenarios where data needs to be shared between different systems or stored efficiently. Avro is a popular serialization framework that provides a compact binary format and rich data structures, making it ideal for big data applications. Both 'avro-js' and 'avsc' are JavaScript implementations of the Avro specification, enabling developers to serialize and deserialize data in Avro format within Node.js and browser environments.

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avsc670,0851,303264 kB26-MIT
avro-js36,6793,017170 kB1707 months agoApache-2.0
Feature Comparison: avsc vs avro-js

Schema Support

  • avsc:

    Avsc provides comprehensive support for Avro schemas, including complex types, unions, and default values. It allows for schema evolution, enabling developers to modify schemas while maintaining compatibility with existing data.

  • avro-js:

    Avro-js supports basic schema definitions and allows for serialization and deserialization of data according to those schemas. However, it may not handle complex schema features as extensively as other libraries.

Performance

  • avsc:

    Avsc is optimized for performance and can handle larger datasets efficiently. It includes features like lazy loading of schemas and optimized serialization paths, making it suitable for high-performance applications.

  • avro-js:

    Avro-js is designed for lightweight operations, making it suitable for applications where performance is critical but advanced features are not necessary. Its performance is generally good for simple use cases.

Error Handling

  • avsc:

    Avsc offers robust error handling capabilities, including detailed error messages and validation checks. This makes it easier for developers to debug issues related to schema mismatches or data inconsistencies.

  • avro-js:

    Error handling in avro-js is relatively straightforward, focusing on basic validation during serialization and deserialization. However, it may not provide detailed error reporting for complex scenarios.

Community and Support

  • avsc:

    Avsc has a larger community and more extensive documentation, providing better support for developers. It also has more examples and use cases available, making it easier to find solutions to common problems.

  • avro-js:

    Avro-js has a smaller community compared to avsc, which may result in fewer resources and examples available for troubleshooting and learning.

Ease of Use

  • avsc:

    Avsc, while feature-rich, may have a steeper learning curve due to its extensive capabilities. However, once mastered, it provides powerful tools for working with Avro data.

  • avro-js:

    Avro-js is designed with simplicity in mind, making it easy to get started with Avro serialization. Its API is straightforward, which is beneficial for developers who need quick implementations.

How to Choose: avsc vs avro-js
  • avsc:

    Choose 'avsc' if you need a more feature-rich library that supports advanced Avro features such as schema evolution, complex data types, and better error handling. It is ideal for applications that require robust serialization capabilities and compatibility with various Avro data types.

  • avro-js:

    Choose 'avro-js' if you require a lightweight library that focuses on providing a simple API for Avro serialization and deserialization. It is particularly suited for projects where minimal overhead is desired and where you may not need extensive features beyond basic serialization.

README for avsc

Avsc NPM version Download count CI Coverage status

Pure JavaScript implementation of the Avro specification.

Features

Installation

$ npm install avsc

avsc is compatible with all versions of node.js since 0.11.

Documentation

Examples

Inside a node.js module, or using browserify:

const avro = require('avsc');
  • Encode and decode values from a known schema:

    const type = avro.Type.forSchema({
      type: 'record',
      name: 'Pet',
      fields: [
        {
          name: 'kind',
          type: {type: 'enum', name: 'PetKind', symbols: ['CAT', 'DOG']}
        },
        {name: 'name', type: 'string'}
      ]
    });
    
    const buf = type.toBuffer({kind: 'CAT', name: 'Albert'}); // Encoded buffer.
    const val = type.fromBuffer(buf); // = {kind: 'CAT', name: 'Albert'}
    
  • Infer a value's schema and encode similar values:

    const type = avro.Type.forValue({
      city: 'Cambridge',
      zipCodes: ['02138', '02139'],
      visits: 2
    });
    
    // We can use `type` to encode any values with the same structure:
    const bufs = [
      type.toBuffer({city: 'Seattle', zipCodes: ['98101'], visits: 3}),
      type.toBuffer({city: 'NYC', zipCodes: [], visits: 0})
    ];
    
  • Get a readable stream of decoded values from an Avro container file compressed using Snappy (see the BlockDecoder API for an example including checksum validation):

    const snappy = require('snappy'); // Or your favorite Snappy library.
    const codecs = {
      snappy: function (buf, cb) {
        // Avro appends checksums to compressed blocks, which we skip here.
        return snappy.uncompress(buf.slice(0, buf.length - 4), cb);
      }
    };
    
    avro.createFileDecoder('./values.avro', {codecs})
      .on('metadata', function (type) { /* `type` is the writer's type. */ })
      .on('data', function (val) { /* Do something with the decoded value. */ });
    
  • Implement a TCP server for an IDL-defined protocol:

    // We first generate a protocol from its IDL specification.
    const protocol = avro.readProtocol(`
      protocol LengthService {
        /** Endpoint which returns the length of the input string. */
        int stringLength(string str);
      }
    `);
    
    // We then create a corresponding server, implementing our endpoint.
    const server = avro.Service.forProtocol(protocol)
      .createServer()
      .onStringLength(function (str, cb) { cb(null, str.length); });
    
    // Finally, we use our server to respond to incoming TCP connections!
    require('net').createServer()
      .on('connection', (con) => { server.createChannel(con); })
      .listen(24950);