Reading/transforming/writing JSON data
In this cookbook we will demonstrate an example of how the JSON tools provided by fs2-data
can be used to build a mini jq
-like CLI tool.
High-level overview
The general approach to reading/parsing/transforming/generating data with fs2-data
can be summarized as follows:
graph LR Reading(Reading) --> Parsing --> Transforming --> Printing --> Writing(Writing)
The Reading and Writing steps are not specific to fs2-data
but rely on pure fs2
operators or other compatible libraries. The Parsing, Transforming, and Printing phases will use the tools provided by fs2-data-json
and more specifically:
- The
tokens
pipe to parse the input stream into JSON Tokens (see the documentation for more details).
- The Compiler class to compile a query into a pipe (see the documentation for more details).
- The
render.prettyPrint
pipe to render the query result into a pretty-printed JSON string (see the documentation for more details).
In general the Transforming step can use whatever operator fits your purpose, from fs2
or any other fs2
-based library. But in our case the only transformation will be performed by the query.
Basic implementation
Reading and writing
In this example, we will read the content from a sample JSON file and write the result to stdout.
To this end, we will use the operators and pipes provided by fs2-io
.
import cats.effect.IO
import cats.effect.unsafe.implicits.global
import fs2.io.file.{Files, Path}
import fs2.io.stdout
import fs2.text.utf8
Files[IO]
.readUtf8(Path("site/cookbooks/data/json/sample.json"))
.through(utf8.encode[IO])
.through(stdout)
.compile
.drain
.unsafeRunSync()
This snippet is pure fs2
and does not involve fs2-data
at any point.
Parsing and printing
The next step would be to parse and render the JSON data, using the appropriate fs2-data
pipes. This can be achieved this way:
import fs2.data.json
Files[IO]
.readUtf8(Path("site/cookbooks/data/json/sample.json"))
.through(json.tokens) // parsing JSON input
.through(json.render.prettyPrint()) // pretty printing JSON stream
.through(utf8.encode[IO])
.through(stdout)
.compile
.drain
.unsafeRunSync()
Transforming
So far the only thing that the code does is to format the input into the output.
Looking at the input, we see that it consists in an array of objects containing several fields.
Let's say we are interested in the name
and language
fields.
For each element in the array we would like to emit an object with both fields, but the name
oned should be renamed full_name
.
To this end we can write the following query using the jq
interpolator:
import fs2.data.json.jq.literals._
val query = jq""".[] | { "full_name": .name, "language": .language }"""
// query: json.jq.Jq = Iterator(
// filter = Identity,
// inner = Obj(
// prefix = Identity,
// fields = List(
// ("full_name", Field(name = "name")),
// ("language", Field(name = "language"))
// )
// )
// )
The query can now be compiled into a Pipe
:
import fs2.data.json.jq.Compiler
val queryCompiler = Compiler[IO]
// queryCompiler: Compiler[IO] = fs2.data.json.jq.internal.ESPJqCompiler@33bd99a3
val queryPipe = queryCompiler.compile(query).unsafeRunSync()
// queryPipe: fs2.package.Pipe[IO, json.Token, json.Token] = <function1>
Now this pipe can be used to transform the data within the previous pipeline
Files[IO]
.readUtf8(Path("site/cookbooks/data/json/sample.json"))
.through(json.tokens)
.through(queryPipe) // the transformation using the query pipe
.through(json.render.prettyPrint())
.through(utf8.encode[IO])
.through(stdout)
.compile
.drain
.unsafeRunSync()
And you get the result of the query execution printed to stdout.
Running the full example
The full code can be found in the repository in the JqLike object. This example uses decline to parse the CLI options.
It compiles for all three supported platforms:
- as a fat jar using sbt-assembly for JVM
- as a native executable using Scala Native
- as a Node.js application using Scala.js
$ sbt exampleJqJVM/assembly
$ java -jar examples/jqlike/.jvm/target/scala-2.13/jq-like.jar -q '.[] | { "full_name": .name, "language": .language }' -f site/cookbooks/data/json/sample.json
$ sbt exampleJqNative/nativeLink
$ examples/jqlike/.native/target/scala-2.13/jq-like-out -q '.[] | { "full_name": .name, "language": .language }' -f site/cookbooks/data/json/sample.json
$ sbt exampleJqJS/fastLinkJS
$ node examples/jqlike/.js/target/scala-2.13/jq-like-fastopt/main.js -q '.[] | { "full_name": .name, "language": .language }' -f site/cookbooks/data/json/sample.json