update readme.

README.md

@@ -10,76 +10,93 @@
 
 ## Introduction
 
-Schema is a structure of a data type. ZIO Schema reifies the concept of structure for data types. It makes a high-level description of any data type and makes them as first-class values.
+ZIO Schema helps us to solve some of the most common problems in distributed computing, such as serialization, deserialization, and data migration.
+
+It turns a compiled-time construct (the type of a data structure) into a runtime construct (a value that can be read, manipulated, and composed at runtime). A schema is a structure of a data type. ZIO Schema reifies the concept of structure for data types. It makes a high-level description of any data type and makes them first-class values.
 
 Creating a schema for a data type helps us to write codecs for that data type. So this library can be a host of functionalities useful for writing codecs and protocols like JSON, Protobuf, CSV, and so forth.
 
-With schema descriptions that can be automatically derived for case classes and sealed traits, _ZIO Schema_ will be going to provide powerful features for free (Note that the project is in the development stage and all these features are not supported yet):
+## What Problems Does ZIO Schema Solve?
+
+With schema descriptions that can be automatically derived for case classes and sealed traits, _ZIO Schema_ will be going to provide powerful features for free:
 
-- Codecs for any supported protocol (JSON, protobuf, etc.), so data structures can be serialized and deserialized in a principled way
-- Diffing, patching, merging, and other generic-data-based operations
-- Migration of data structures from one schema to another compatible schema
-- Derivation of arbitrary type classes (`Eq`, `Show`, `Ord`, etc.) from the structure of the data
+1. Metaprogramming without macros, reflection, or complicated implicit derivations.
+    1. Creating serialization and deserialization codecs for any supported protocol (JSON, Protobuf, etc.)
+    2. Deriving standard type classes (`Eq`, `Show`, `Ordering`, etc.) from the structure of the data
+    3. Default values for data types
+2. Automate ETL (Extract, Transform, Load) pipelines
+    1. Diffing: diffing between two values of the same type
+    2. Patching: applying a diff to a value to update it
+    3. Migration: migrating values from one type to another
+3. Computations as data: Not only we can turn types into values, but we can also turn computations into values. This opens up a whole new world of possibilities concerning distributed computing.
 
 When our data structures need to be serialized, deserialized, persisted, or transported across the wire, then _ZIO Schema_ lets us focus on data modeling and automatically tackle all the low-level, messy details for us.
 
-_ZIO Schema_ is used by a growing number of ZIO libraries, including _ZIO Flow_, _ZIO Redis_, _ZIO Web_, _ZIO SQL_ and _ZIO DynamoDB_.
+_ZIO Schema_ is used by a growing number of ZIO libraries, including [ZIO Flow](https://zio.dev/zio-flow), [ZIO Redis](https://zio-redis), [ZIO SQL](https://zio.dev/zio-sql) and [ZIO DynamoDB](https://zio.dev/zio-dynamodb).
 
 ## Installation
 
 In order to use this library, we need to add the following lines in our `build.sbt` file:
 
 ```scala
-libraryDependencies += "dev.zio" %% "zio-schema"          % "0.4.13"
-libraryDependencies += "dev.zio" %% "zio-schema-bson"     % "0.4.13"
-libraryDependencies += "dev.zio" %% "zio-schema-json"     % "0.4.13"
-libraryDependencies += "dev.zio" %% "zio-schema-protobuf" % "0.4.13"
-
-// Required for automatic generic derivation of schemas
-libraryDependencies += "dev.zio" %% "zio-schema-derivation" % "0.4.13",
+libraryDependencies += "dev.zio" %% "zio-schema"          % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-avro"     % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-bson"     % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-json"     % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-msg-pack" % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-protobuf" % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-thrift"   % "0.4.14"
+libraryDependencies += "dev.zio" %% "zio-schema-zio-test" % "0.4.14"
+
+// Required for the automatic generic derivation of schemas
+libraryDependencies += "dev.zio" %% "zio-schema-derivation" % "0.4.14"
 libraryDependencies += "org.scala-lang" % "scala-reflect"  % scalaVersion.value % "provided"
 ```
 
 ## Example
 
-In this simple example first, we create a schema for `Person` and then run the _diff_ operation on two instances of the `Person` data type, and finally we encode a Person instance using _Protobuf_ protocol:
+In this simple example first, we create a schema for `Person` and then run the _diff_ operation on two instances of the `Person` data type, and finally, we encode a Person instance using _Protobuf_ protocol:
 
 ```scala
-import zio.console.putStrLn
-import zio.schema.codec.ProtobufCodec._
+import zio._
+import zio.stream._
+import zio.schema.codec.{BinaryCodec, ProtobufCodec}
 import zio.schema.{DeriveSchema, Schema}
-import zio.stream.ZStream
-import zio.{Chunk, ExitCode, URIO}
 
-final case class Person(name: String, age: Int, id: String)
+final case class Person(name: String, age: Int)
+
 object Person {
-  implicit val schema: Schema[Person] = DeriveSchema.gen[Person]
+  implicit val schema: Schema[Person]    = DeriveSchema.gen
+  val protobufCodec: BinaryCodec[Person] = ProtobufCodec.protobufCodec
 }
 
-Person.schema
-
-import zio.schema.syntax._
-
-Person("Alex", 31, "0123").diff(Person("Alex", 31, "124"))
+object Main extends ZIOAppDefault {
+  def run =
+    ZStream
+      .succeed(Person("John", 43))
+      .via(Person.protobufCodec.streamEncoder)
+      .runCollect
+      .flatMap(x =>
+        Console.printLine(s"Encoded data with protobuf codec: ${toHex(x)}")
+      )
+
+  def toHex(chunk: Chunk[Byte]): String =
+    chunk.map("%02X".format(_)).mkString
+}
+```
 
-def toHex(chunk: Chunk[Byte]): String =
-  chunk.toArray.map("%02X".format(_)).mkString
+Here is the output of running the above program:
 
-zio.Runtime.default.unsafe.run(
-  ZStream
-    .succeed(Person("Thomas", 23, "2354"))
-    .transduce(
-      encoder(Person.schema)
-    )
-    .runCollect
-    .flatMap(x => putStrLn(s"Encoded data with protobuf codec: ${toHex(x)}"))
-).getOrThrowFiberFailure()
+```scala
+Encoded data with protobuf codec: 0A044A6F686E102B
 ```
 
-
 ## Resources
 
-- [Zymposium - ZIO Schema](https://www.youtube.com/watch?v=GfNiDaL5aIM) by John A. De Goes, Adam Fraser and Kit Langton (May 2021)
+- [Zymposium - ZIO Schema](https://www.youtube.com/watch?v=GfNiDaL5aIM) by John A. De Goes, Adam Fraser, and Kit Langton (May 2021)
+- [ZIO SCHEMA: A Toolkit For Functional Distributed Computing](https://www.youtube.com/watch?v=lJziseYKvHo&t=481s) by Dan Harris (Functional Scala 2021)
+- [Creating Declarative Query Plans With ZIO Schema](https://www.youtube.com/watch?v=ClePN4P9_pg) by Dan Harris (ZIO World 2022)
+- [Describing Data...with free applicative functors (and more)](https://www.youtube.com/watch?v=oRLkb6mqvVM) by Kris Nuttycombe (Scala World) on the idea behind the [xenomorph](https://github.com/nuttycom/xenomorph) library
 
 ## Documentation