EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials Data Structures Tutorial Avro File Format
Secondary Sidebar
Data Structures Tutorial
  • Basics
    • Linked List Advantages
    • What is Data Structure
    • Heap Data Structure
    • Types of Trees in Data Structure
    • AVL Tree in Data Structure
    • B Tree in Data Structure
    • B+ Tree in Data Structure
    • DFS Algorithm
    • BFS Algorithm
    • Arrays in Data Structure
    • Graph in Data Structure
    • Graph Representation
    • Breadth First Search
    • Depth Limited Search
    • Hashing in Data Structure
    • Searching in Data Structure
    • Linear Search in Data Structure
    • Linked List in Data Structure
    • Doubly linked list in Data Structure
    • Circular Linked List in Data Structure
    • Pointers in Data Structure
    • Types of Graph in Data Structure
    • Bubble Sort in Data Structure
    • Quick Sort in Data Structure
    • Bitonic Sort
    • Merge Sort in Data Structure
    • Selection Sort in Data Structure
    • Insertion Sort in Data Structure
    • Radix Sort in Data Structure
    • Stack in Data Structure
    • Queue in Data Structure
    • Priority Queue in Data Structure
    • Asymptotic Analysis
    • Tree Traversal in Data Structure
    • Tree Traversal Techniques
    • Trie Data Structure
    • Splay Tree in Data Structure
    • Spanning Tree Algorithm
    • Sparse Matrix in Data Structure
    • Radix Sort Algorithm
    • Counting Sort Algorithm
    • Skip List Data Structure
    • Linked List Algorithm
    • Linked List Types
    • Inorder Traversal of Binary Tree
    • Kruskals Algorithm
    • Prims Algorithm
    • BFS VS DFS
    • BCNF
    • Skip List
    • Hash Table?in Data Structure
    • Data Structure Interview Questions
    • Data Structures & Algorithms Interview
    • AVL Tree Deletion
    • B+ Tree Deletion
    • Decision Tree Advantages and Disadvantages
    • Data Architect Skills
    • Data Architecture Principles
    • Data Engineer Jobs
    • Data Engineer Roadmap
    • Fundamentals of Data Structure
    • Circular queue in Data Structure
    • Spanning Tree in Data Structure
    • Tree traversal types
    • Deque in Data structure
    • Shell Sort in Data Structure
    • Heap sort in data structure
    • Heap data structure C++
    • Heap data structure in Java
    • Binary Search Tree Types
    • Binary Tree in Data Structure
    • Binary Tree Types
    • Binary search tree in data structure
    • Binary Search Tree Advantages
    • Binary Search Tree Properties
    • Binary Search in Data Structure
    • Binary Tree Deletion
    • Sparse Matrix Multiplication
    • Preorder Traversal of Binary Tree
    • Postorder traversal
    • Decision Tree Hyperparameters
    • PostOrder Traversal without Recursion
    • AVL Tree Rotation
    • Avro File Format
    • Decision Tree Types
    • Binomial heap
    • Confluence Jira Integration
    • Timm Sort
    • Depth First Search
    • Stock Span Problem

Avro File Format

Avro File Format

Introduction to Avro File Format

Avro file format is a row-based repository configuration that can be used for Hadoop, and generally. It can use the data in serial form and this format can reserve the schema in JSON format so that the user can able to read and explain in any program. The whole data can be reserved in JSON format by compressing and well organizing in the avro files, it does not require a particular language because it can be prepared by many languages. This format file can provide strong assistance to data schemas that can substitute over time.

What is Avro file format?

The avro file format is responsible for storing the data in deplaning blocks in which data can be passed block-wise and generally read as a whole and it can be processed further downstream in which we can say that row-oriented formats are more well planned in such types of cases. The avro file format can able to reserve data in JSON format that can be utilized for changing the data so that data can be readable by humans and also can be implemented in the code, by compressing that data can be reserved in binary format and available in avro files. This format cannot use any language as it can be handled by other few languages. It provides robust assistance for data schemas for changing the data.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

How avro file format works?

Let us see the working of the avro file format step by step,

  • In the general working of the avro, we have to generate the schema and that schema has been outlined as per the data.
  • It can also arrange the data by using the serialization API which has been given by avro, and that will be established in the ‘org.apache.avro.specific’ package.
  • The data has been reconstructed by using API for it and that has been established in the ‘org.apache.avro.specific’ package.

1

  • The file format can work in the landing zone, in which the complete data from the zone has been read in our program, and that can be used for further processing, one by creating a class as per the schema in which the schema has been compiled.
  • It can create a class as per the schema, and second, with the help of Parsers library, it means straightly we can able to read the schema with the help of parsers library.
  • The related systems can simply able to gain table schema from the avro files which do not have to reserve schema separately.
  • As per the evolution of schema the change can be handled by the source.

Create Avro file format

Let us see how to create the avro file and avro can convert our data in JSON or binary format in which our system can only accept the binary files, when we try to create the avro file then we will have data, and JSON file or schema file.

  • The avro format has a generous data structure in which we can able to generate records having an array, enumerated type, and a sub-record.
  • The avro format will have rich applicants for reserving the data in data lake landing blocks in which each block can object, size, a compressed object.
  • The data has been read generally from the leading block and there is no need to reserve schema differently.
  • Now see an example of schema which can describe the document in namespace “file format”, and the name is “student”, in which the complete name of it is a ‘file format.student.avsc’.
  • The schema file will have a ‘. avsc’ extension so that avro file will be ‘.avro’ after changing the data.

{
"namespace": "fileformat",
"type": "record",
"name": "student",
"fields": [
{
"name": "sid",
"doc": "student id. may be it is stid, esa, yga.",
"type": [
{
"name": "stid",
"type": "long",
"doc": "College stu id."
}

  • If we do not have the schema then it can able to give a standard to use and we can adjust the fields and values depending on the requirements.

Command Avro file format:

The ‘sqoop’ command has been used to preserve the data in avro file format in which apache can assist the avro data files, the ‘sqoop’ command has some parameters that we have to add, that are,

  • as–avrodatafile – which can be used for importing data to the avro data files.
  • compression—codec – which has been used by Hadoop codec.
  • The ‘sqoop’ command has its template and we have to import this command we have import bindir and we have to make the connection for it with the help of a template.
  • We also have to import the driver up to class manually for specifying the connection manager class.
  • If we want to delete the target directory then we can do it by using AWS CLI.
  • The ‘sqoop’ command can be used transmit data either from Hadoop or AWS, for querying the data we have to generate the tables on the head of the physical files.
  • If the data can transmit through Hadoop, then we have to generate the Hive tables and if the data has been transmitted through AWS then we have to either generate Hive table or tables in Amazon.

If we have an end of the line as HDFS then it allows us to write a command for retrieving the schema of the table as,
‘hadoop jar avro-tools-1.8.1.jar getschema’.

If we have AWS as the end of the line then we have to reprint the avro data file to the contains system and then we can gain the schema,

‘java -jar avro-tools-1.8.1.jar getschema’.

Conclusion

In this article, we conclude that the Avro file format can reserve data in row form in which users can read and interpret that data, so we have also discussed how to create file format, how Avro file format works, and also seen the commands for the Avro file format.

Recommended Articles

This is a guide to Avro File Format. Here we discuss the introduction, What is Avro file format, How to work avro file format?. You may also have a look at the following articles to learn more –

  1. File Formats
  2. XML file format
  3. C# Read File
  4. Docker format
Popular Course in this category
Data Scientist Training (85 Courses, 67+ Projects)
  85 Online Courses |  67 Hands-on Projects |  660+ Hours |  Verifiable Certificate of Completion
4.8
Price

View Course

Related Courses

All in One Data Science Bundle (360+ Courses, 50+ projects)4.9
Oracle DBA Database Management System Training (2 Courses)4.8
SQL Training Program (10 Courses, 8+ Projects)4.7
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more