Files
2026-02-08 11:20:43 -10:00

42 lines
1.4 KiB
Kotlin
Vendored

// DUMP_SCHEMAS
import org.jetbrains.kotlinx.dataframe.*
import org.jetbrains.kotlinx.dataframe.annotations.*
import org.jetbrains.kotlinx.dataframe.api.*
import org.jetbrains.kotlinx.dataframe.io.*
@DataSchema
data class Person(val firstName: String, val lastName: String, val age: Int, val city: String?)
@DataSchema
data class Group(val id: String, val participants: List<Person>)
fun test() {
val <!SCHEMA!>df<!> = listOf(
Group("1", listOf(
Person("Alice", "Cooper", 15, "London"),
Person("Bob", "Dylan", 45, "Dubai")
)),
Group("2", listOf(
Person("Charlie", "Daniels", 20, "Moscow"),
Person("Charlie", "Chaplin", 40, "Milan"),
)),
).<!SCHEMA!>toDataFrame<!>(maxDepth = 2)
// For operator get call schema is reported for the whole expression, so on df two schemas are reported
<!SCHEMA!><!SCHEMA!>df<!>.participants[0]<!>
<!SCHEMA!>df<!>.participants.<!SCHEMA!>first<!>()
<!SCHEMA!>df<!>.<!SCHEMA!>explode<!> { participants }.<!SCHEMA!>participants<!>
<!SCHEMA!><!SCHEMA!>df<!>.participants[0]<!>.age
// DataRow
<!SCHEMA!><!SCHEMA!>df<!>[0]<!>.<!SCHEMA!>participants<!>.age
// GroupBy
<!SCHEMA!>df<!>.<!SCHEMA!>explode<!> { participants }.<!SCHEMA!>groupBy<!> { <!SCHEMA!>participants<!>.lastName }
<!SCHEMA!>fun test()<!> = <!SCHEMA!>dataFrameOf("a", "b")<!>(1, 2)
}