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This is a short guide for getting started with Apache Avro™ using Python. This guide only covers using Avro for data serialization; see Patrick Hunt's Avro RPC Quick Start for a good introduction to using Avro for RPC.
Download
Avro implementations for C, C++, C#, Java, PHP, Python, and Ruby can be downloaded from the Apache Avro™ Releases page. This guide uses Avro 1.8.2, the latest version at the time of writing. Download and unzip avro-1.8.2.tar.gz, and install via python setup.py (this will probably require root privileges). Ensure that you can import avro from a Python prompt.
Alternatively, you may build the Avro Python library from source. From your the root Avro directory, run the commands
![Avro Avro](/uploads/1/1/8/8/118833361/520045293.png)
Defining a schema
Avro schemas are defined using JSON. Schemas are composed of primitive types (null, boolean, int, long, float, double, bytes, and string) and complex types (record, enum, array, map, union, and fixed). You can learn more about Avro schemas and types from the specification, but for now let's start with a simple schema example, user.avsc:
This schema defines a record representing a hypothetical user. (Note that a schema file can only contain a single schema definition.) At minimum, a record definition must include its type ('type': 'record'), a name ('name': 'User'), and fields, in this case name, favorite_number, and favorite_color. We also define a namespace ('namespace': 'example.avro'), which together with the name attribute defines the 'full name' of the schema (example.avro.User in this case).
Fields are defined via an array of objects, each of which defines a name and type (other attributes are optional, see the record specification for more details). The type attribute of a field is another schema object, which can be either a primitive or complex type. For example, the name field of our User schema is the primitive type string, whereas the favorite_number and favorite_color fields are both unions, represented by JSON arrays. unions are a complex type that can be any of the types listed in the array; e.g., favorite_number can either be an int or null, essentially making it an optional field.
Serializing and deserializing without code generation
Data in Avro is always stored with its corresponding schema, meaning we can always read a serialized item, regardless of whether we know the schema ahead of time. This allows us to perform serialization and deserialization without code generation. Note that the Avro Python library does not support code generation.
Try running the following code snippet, which serializes two users to a data file on disk, and then reads back and deserializes the data file:
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This outputs:
Do make sure that you open your files in binary mode (i.e. using the modes wb or rb respectively). Otherwise you might generate corrupt files due to automatic replacement of newline characters with the platform-specific representations.
Let's take a closer look at what's going on here.
avro.schema.parse takes a string containing a JSON schema definition as input and outputs a avro.schema.Schema object (specifically a subclass of Schema, in this case RecordSchema). We're passing in the contents of our user.avsc schema file here.
We create a DataFileWriter, which we'll use to write serialized items to a data file on disk. The DataFileWriter constructor takes three arguments:
- The file we'll serialize to
- A DatumWriter, which is responsible for actually serializing the items to Avro's binary format (DatumWriters can be used separately from DataFileWriters, e.g., to perform IPC with Avro TODO: is this true??).
- The schema we're using. The DataFileWriter needs the schema both to write the schema to the data file, and to verify that the items we write are valid items and write the appropriate fields.
We use DataFileWriter.append to add items to our data file. Avro records are represented as Python dicts. Since the field favorite_color has type ['int', 'null'], we are not required to specify this field, as shown in the first append. Were we to omit the required name field, an exception would be raised. Any extra entries not corresponding to a field are present in the dict are ignored.
We open the file again, this time for reading back from disk. We use a DataFileReader and DatumReader analagous to the DataFileWriter and DatumWriter above.
The DataFileReader is an iterator that returns dicts corresponding to the serialized items.
- Latest Version:iAvro 1.5 LATEST
- Requirements:Mac OS X 10.9 or later
- Author / Product:OmicronLab / iAvro for Mac This castle is a creature of chaos.
- Old Versions:
- Filename:iAvro1.5.dmg
- Details:iAvro for Mac 2020 full offline installer setup for Mac
Installation and Use
After a brief installation, iAvro will allow you to customize your keyboard and transform it into a highly dependable tool for typing and editing Bangla text. Support for languages Probhat, Munir Optima, Avro Easy, Bornona or Jatya comes without the need to manually install any fonts – all the necessary fonts will be installed to your Mac during the initial setup procedure.
After activating it, the app will start up in the form of a small floating toolbar on the top of your screen. Inside that toolbar, you can access several tools that will enable you to precisely optimize the way your new keyboard layout is functioning. Those tools include the keyboard layout picker (which includes even Avro Phonetic automated translation from English to Bangla), toggle for activating on-screen keyboard that will show Bangla characters, mouse click & type tool, full character layout viewer, keyboard layout creator with support for presets, skin designer that will make you on-screen keyboard unique, and Settings screen that features hundreds of customizations arranged in the eight tabs (General, Interface, Global Hotkeys, Locale/Language, Avro Phonetic, Avro Mouse, Fixed Layouts and Global output).
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The app supports English to Bangla phonetic typing function with the floating preview of the translation of any Bangla word. The app comes with the built-in dictionary that is highly usable for checking spelling errors or mistakes
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. Finally, the app supports Unicode to Bijoi text converter, font fixer, and even an iComplex script support.Phonetic
100% compatibility with the current classic Avro Phonetic scheme. Switch between Mac, Windows or Linux, you'll have the same typing experience across platforms.
Preview on-the-fly
Support for preview window to see suggestions. You have the full control on what you want to type.
Dictionary assistance
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Dictionary support can predict and suggest phonetically similar words with correct spelling. Type with confidence.
Autocorrect and substitution
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Autocorrect support brings commonly used English words to Bangla (like, Facebook, download etc.) even with their original English spelling.
Customizable
One size never fits all. Change the orientation of suggestion list or totally turn off the prediction. iAvro is built to help, not to get in your way.
Open source
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The app is open source free software. Use as you like, change what you like and help us improve the Bangla typing experience on awesome macOS!Features and Highlights
- English to Bangla Phonetic Typing – Take advantage of the most modern and optimized English to Bangla phonetic typing method.
- Easy Transliteration scheme – Software typing app that is powered the multi-year experience in handling transliteration schemes.
- Transform your keyboard into Bangla keyboard – It takes full control over your keyboard, becoming your main typing interface with the OS.
- Integrated Dictionary – Type with the support of the 150 thousand-word Bangla dictionary and auto-correct feature.
- Faster Bangla typing – With Bangla Web Tools you don’t ever need to manually switch between fonts or char layouts.
- Customizable interface – Use built-in keyboard skin designer to make your typing look unique.
- Dual interface modes – Access iAvro either via floating toolbar or system tray icon.
- Customizable mode switching – Switch between system keyboard and Bangla keyboard using any of the F1-12 keys.
- Layout Viewer – Showcase virtual keyboard on your screen anytime you want it.
- Integrated fonts – All the necessary fonts are provided and installed at initial startup.
- Support for auto-correction in MS Word.
- Compatible with all modern versions of your Mac.
- 100% FREE!
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