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But what is the writer's schema?

There is an important question that we’ve glossed over so far: how does the reader know the writer’s schema with which a particular piece of data was encoded? We can’t just include the entire schema with every record, because the schema would likely be much bigger than the encoded data, making all the space savings from the binary encoding futile.

The answer depends on the context in which Avro is being used. To give a few examples:

Large file with lots of records

A common use for Avro—especially in the context of Hadoop—is for storing a large file containing millions of records, all encoded with the same schema. (We will discuss this kind of situation in Chapter 10.) In this case, the writer of that file can just include the writer’s schema once at the beginning of the file. Avro specifies a file format (object container files) to do this.

Database with individually written records

In a database, different records may be written at different points in time using different writer’s schemas—you cannot assume that all the records will have the same schema. The simplest solution is to include a version number at the beginning of every encoded record, and to keep a list of schema versions in your data?base. A reader can fetch a record, extract the version number, and then fetch the writer’s schema for that version number from the database. Using that writer’s schema, it can decode the rest of the record. (Espresso [23] works this way, for example.)

Sending records over a network connection

When two processes are communicating over a bidirectional network connection, they can negotiate the schema version on connection setup and then use that schema for the lifetime of the connection. The Avro RPC protocol (see “Dataflow Through Services: REST and RPC” on page 131) works like this.

A database of schema versions is a useful thing to have in any case, since it acts as documentation and gives you a chance to check schema compatibility [24]. As the version number, you could use a simple incrementing integer, or you could use a hash of the schema.

 
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