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Combine multiple Kotlin flows in a list without waiting for a first value

I have a List<Flow<T>>, and would like to generate a Flow<List<T>>. This is almost what combine does - except that combine waits for each and every Flow to emit an initial value, which is not what I want. Take this code for example:

val a = flow {
  repeat(3) {
    emit("a$it")
    delay(100)
  }
}
val b = flow {
  repeat(3) {
    delay(150)
    emit("b$it")
  }
}
val c = flow {
  delay(400)
  emit("c")
}
val flows = listOf(a, b, c)
runBlocking {
  combine(flows) {
    it.toList()
  }.collect { println(it) }
}

With combine (and hence as-is), this is the output:

[a2, b1, c]
[a2, b2, c]

Whereas I'm interested in all the intermediary steps too. This is what I want from those three flows:

[]
[a0]
[a1]
[a1, b0]
[a2, b0]
[a2, b1]
[a2, b1, c]
[a2, b2, c]

Right now I have two work-arounds, but none of them are great... The first one is plain ugly and doesn't work with nullable types:

val flows = listOf(a, b, c).map {
  flow {
    emit(null)
    it.collect { emit(it) }
  }
}
runBlocking {
  combine(flows) {
    it.filterNotNull()
  }.collect { println(it) }
}

By forcing all the flows to emit a first, irrelevant value, the combine transformer is indeed called, and lets me remove the null values which I know are not actual values. Iterating on that, more readable but heavier:

sealed class FlowValueHolder {
  object None : FlowValueHolder()
  data class Some<T>(val value: T) : FlowValueHolder()
}
val flows = listOf(a, b, c).map {
  flow {
    emit(FlowValueHolder.None)
    it.collect { emit(FlowValueHolder.Some(it)) }
  }
}
runBlocking {
  combine(flows) {
    it.filterIsInstance(FlowValueHolder.Some::class.java)
      .map { it.value }
  }.collect { println(it) }
}

Now this one works just fine, but still feels like I'm overdoing stuff. Is there a method that I'm missing in the coroutines library?

over 4 years ago · Hanz Gallego
2 answers
Answer question

0

I would still like to avoid mapping to an intermediary wrapper type, and as someone mentioned in the comments, the behaviour is slightly wrong (this emits an empty list at first if no arguments emitted anything yet), but this is slightly nicer than the solutions I had in mind when I wrote the question (still really similar) and works with nullable types:

inline fun <reified T> instantCombine(
  flows: Iterable<Flow<T>>
): Flow<List<T>> = combine(flows.map { flow ->
  flow.map {
    @Suppress("USELESS_CAST") // Required for onStart(null)
    Holder(it) as Holder<T>?
  }
    .onStart { emit(null) }
}) {
  it.filterNotNull()
    .map { holder -> holder.value }
}

And here's a test suite that passes with this implementation:

class InstantCombineTest {
  @Test
  fun `when no flows are merged, nothing is emitted`() = runBlockingTest {
    assertThat(instantCombine(emptyList<Flow<String>>()).toList())
      .isEmpty()
  }

  @Test
  fun `intermediate steps are emitted`() = runBlockingTest {
    val a = flow {
      delay(20)
      repeat(3) {
        emit("a$it")
        delay(100)
      }
    }
    val b = flow {
      repeat(3) {
        delay(150)
        emit("b$it")
      }
    }
    val c = flow {
      delay(400)
      emit("c")
    }

    assertThat(instantCombine(a, b, c).toList())
      .containsExactly(
        emptyList<String>(),
        listOf("a0"),
        listOf("a1"),
        listOf("a1", "b0"),
        listOf("a2", "b0"),
        listOf("a2", "b1"),
        listOf("a2", "b1", "c"),
        listOf("a2", "b2", "c")
      )
      .inOrder()
  }

  @Test
  fun `a single flow is mirrored`() = runBlockingTest {
    val a = flow {
      delay(20)
      repeat(3) {
        emit("a$it")
        delay(100)
      }
    }

    assertThat(instantCombine(a).toList())
      .containsExactly(
        emptyList<String>(),
        listOf("a0"),
        listOf("a1"),
        listOf("a2")
      )
      .inOrder()
  }

  @Test
  fun `null values are kept`() = runBlockingTest {
    val a = flow {
      emit("a")
      emit(null)
      emit("b")
    }

    assertThat(instantCombine(a).toList())
      .containsExactly(
        emptyList<String?>(),
        listOf("a"),
        listOf(null),
        listOf("b")
      )
      .inOrder()
  }
}
over 4 years ago · Hanz Gallego Report

0

How about this:

inline fun <reified T> instantCombine(vararg flows: Flow<T>) = channelFlow {
    val array= Array(flows.size) {
        false to (null as T?) // first element stands for "present"
    }

    flows.forEachIndexed { index, flow ->
        launch {
            flow.collect { emittedElement ->
                array[index] = true to emittedElement
                send(array.filter { it.first }.map { it.second })
            }
        }
    }
}

It solves a few problems:

  • no need to introduce a new type
  • [] is not in the resulting Flow
  • abstracts away null-handling (or however it is solved) from the call-site, the resulting Flow deals with it itself

So, you won't notice any implementation specific workarounds, because you don't have to deal with it during collection:

runBlocking {
    instantCombine(a, b, c).collect {
        println(it)
    }
}

Output:

[a0]
[a1]
[a1, b0]
[a2, b0]
[a2, b1]
[a2, b1, c]
[a2, b2, c]

Try it out here!

Edit: Updated answer to handle Flows which emit null values too.


* The used low-level array is thread-safe. It's as if you are dealing with single variables.

over 4 years ago · Hanz Gallego Report
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