I'm trying to use a Scala 2 enum with Quill, like so: import io.getquill.MappedEncoding object MyEnumType extends Enumeration { type MyEnumType = Value val ONE, TWO, THREE = Value implicit val encode: MappedEncoding[MyEnumType, String] = MappedEncoding(_.toString) implicit val decode: MappedEncoding[String,…
I've got some JSON that I need to parse, and my project already uses Play, so that seems like the right place to start. Given these definitions: sealed trait Thing case class Foo(i: Int) extends Thing case class Bar(s: String,…
I have a Json string, after parsing I want it to remain in decimal form. import play.api.libs.json._ val jsonString = """{"value":2.0}""" println(jsonString) println(Json.parse(jsonString)) The output of the code above is: {"value":2.0} {"value":2} I need it to be {"value":2.0} {"value":2.0}
do you guys know how to parse an array of json objects but without square brackets { "jsonValue1": "val1", "jsonValue2": [1, 1, 2, 2]} { "jsonValue1": "val1", "jsonValue2": [1, 1, 2, 2]} { "jsonValue1": "val1", "jsonValue2": [1, 1, 2, 2]}…
I have the following scala code in Azure Databricks that creates a dataframe with the list of files and file properties for an specific folder. Can someone help me to transform that code to recursively navigate to each sub folder…
I have a scala spark code that writes a json file with file name as part-*.json for example (part-00000-14732361-f017-468a-b948-22d3b6d460dc-c000.json). I want to do s3.doesObjectExist(buckey, key) where bucket = xyz and key = abc/def/part-*.json. Looks like s3 doesn't support wildcard search.…
I'm trying to write a method that will allow Jackson ObjectMapper readValue on a json string to a parameterized object type. Something like this case class MyObj(field1: String, field2: String) val objectMapper: ObjectMapper = new ObjectMapper().registerModule(new DefaultScalaModule) def fromJson[T](jsonString: String,…
I have newly started working in spark-scala. I have a requirement where in I need to find the sum for few columns within a case statement. I've written the corresponding spark-sql code but unable to implement the same in spark-scala…
I have a df_movies and col of geners that look like json format. |genres | [{'id': 28, 'name': 'Action'}, {'id': 12, 'name': 'Adventure'}, {'id': 37, 'name': 'Western'}] How can I extract the first field of 'name': val? way #1 df_movies.withColumn…
I have a project where I have two GitHub actions yml file where the first file is called build.yml and it contains instructions to compile, build and test the project. It is as simple as this: name: build my-project on:…