Tag: Avro

We have seen here, that Avro supports three kinds of API (Generic,Specific,reflect). In this blog we will see how to use Reflect API. Reflect API is use full

In the previous blog we have seen how to convert a text file to Avro data file.In this blog we will see how to run a map reduce

If the input avro data file has many fields and we are interested in only few fields, then we can define a new schema with the fewer fields. this

Avro Supports both primitive and complex data types Primitive data types null, boolean, int, long, float, double, string, bytes Complex data types array – ordered collection of objects

We have already seen how to convert a text file to Avro data file using a simple java program. In this blog we will see how to process

Your reading schema doesn’t has to be same as that of the writing schema. You can add new fields or remove the existing fields(projection). If a new field

Avro Data Files are portable across platforms. You can read the Data Files written by java program from a python program. Data Files carry the schema with them.In

Avro DataFiles are binary files that carry the schema with them. They are splittable and  allows seeking to a random position. You can sync with record boundary . You need