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API Reference#

Tip

All the functionality of zio-maelstrom is available via following import statement

import com.bilalfazlani.zioMaelstrom.*

Primitive Types#

NodeId#

NodeId represents a unique identifier for a node. It is a wrapper (opaque type) around String and can be created using NodeId(String) method.

MessageId#

MessageId represents a unique identifier for a message. It is a wrapper (opaque type) around Int and can be created using MessageId(Int) method.

Protocol#

In order to send and receive messages from a node, we need to create data types that extend from one or more of the following traits:

1. Sendable#

If a message needs to be "sent" out of a node, it needs to extend from Sendable

trait Sendable:
  val `type`: String

type identifies the type of message which helps in decoding and handling of the message.

2. Reply#

If we want to "reply" against another message to a node, the reply data class needs to extend from Reply trait

trait Reply:
  val in_reply_to: MessageId

in_reply_to is the MessageId of the message that we are replying against. Most of the time, you will have to extend reply messages from Sendable as well because replies need to be "sent" out of a node.

3. NeedsReply#

If we want to "receive" a reply against a message, the message data class needs to extend from NeedsReply trait

trait NeedsReply:
  val msg_id: MessageId

This is required to map response messages to request message using the msg_id field.

Json SerDe#

Besides the traits, any message that needs to be sent as a request to another node or as a response for another message, should have a zio.json.JsonEncoder instance. This is required to encode the message into a JSON string which is then sent to the node. Likewise, any message that needs to be received as a request from another node or as a response for another message, should have a zio.json.JsonDecoder instance. This is required to decode the JSON string into the message.

In the unique-ids example, we have defined the following messages:

Message definitions
case class Generate(msg_id: MessageId) extends NeedsReply derives JsonDecoder
case class GenerateOk(id: String, in_reply_to: MessageId, `type`: String = "generate_ok")
    extends Sendable,
      Reply derives JsonEncoder

Here, Generate message extends from NeedsReply because it expects a reply message. Generate message is sent by maelstrom server nodes and not the application nodes. Application nodes just receive the message. Hence it does not need to extend from Sendable. GenerateOk message is the response for Generate and because application node needs to send it, it needs to extend from both Sendable and Reply.

If a message needs to be sent as well as received, it needs an instance of zio.json.JsonCodec which is a combination of zio.json.JsonEncoder and zio.json.JsonDecoder.

Usually a node wants to handle more than one type of message. For that, we discriminate messages using the type field using jsonDiscriminator annotation of zio-json. Here's an example

Input message definitions
@jsonDiscriminator("type")
sealed trait CalculatorMessage extends NeedsReply derives JsonDecoder

@jsonHint("add") case class Add(a: Int, b: Int, msg_id: MessageId) extends CalculatorMessage

@jsonHint("subtract") case class Subtract(a: Int, b: Int, msg_id: MessageId) extends CalculatorMessage

@jsonHint("multiply") case class Multiply(a: Int, b: Int, msg_id: MessageId) extends CalculatorMessage

@jsonHint("divide") case class Divide(a: Int, b: Int, msg_id: MessageId) extends CalculatorMessage

Since, the parent trait is deriving a JsonDecoder, we don't need to derive it for individual messages.

However, we need to derive JsonEncoder for each outgoing message because there is usually no parent type for outgoing messages.

Output message definitions
case class AddOk(result: Int, in_reply_to: MessageId, `type`: String = "add_ok") 
  extends Sendable, Reply derives JsonEncoder

case class SubtractOk(result: Int, in_reply_to: MessageId, `type`: String = "subtract_ok") 
  extends Sendable, Reply derives JsonEncoder

case class MultiplyOk(result: Int, in_reply_to: MessageId, `type`: String = "multiply_ok") 
  extends Sendable, Reply derives JsonEncoder

case class DivideOk(result: Int, in_reply_to: MessageId, `type`: String = "divide_ok") 
  extends Sendable, Reply derives JsonEncoder

Note

Outgoing message can also extend for input parent trait if they also need to be received by the node. They just need to derive JsonDecoder additionally in that case.

I/O APIs#

1. receive#

receive api takes a handler function I => ZIO[MaelstromRuntime & R, Nothing, Unit]

Note

  1. I needs have a zio.json.JsonDecoder instance
  2. R can be anything. You will need to provide R & MaelstromRuntime when you run the ZIO effect

Here's an example

Receive
case class Gossip(msg_id: MessageId, numbers: Seq[Int], `type`: String = "gossip")
   derives JsonCodec

val messageHandler: ZIO[MaelstromRuntime, Nothing, Unit] = 
  receive[Gossip] { 
    case msg: Gossip =>
      ZIO.logDebug(s"received $msg from $src") //(1)!
      *> ZIO.logDebug(s"my node id is $me") //(2)!
      *> ZIO.logDebug(s"other node ids are $others") //(3)!
  }
  1. src is the NodeId of the node that sent the message
  2. me is the NodeId of the node that received the message
  3. others is a list of NodeId received in the init message at the start of node

receive is a context function and it it gives some variables in the context of the handler function. i.e. me, others and src

2. send#

You can send a message to any NodeId using NodeId.send() API. It takes a Sendable message which has a zio.json.JsonEncoder instance.

Send
case class Gossip(numbers: Seq[Int], `type`: String = "gossip")
  extends Sendable derives JsonCodec

val messageHandler = 
  receive[Gossip] { 
    case msg: Gossip => 
      ZIO.foreach(others)(_.send(Gossip(Seq(1,2)))).unit //(1)!
  }

val result = NodeId("n5") send Gossip(Seq(1,2))
  1. these will be sent to all nodes in cluster

3. ask#

ask api is a combination of send and receive. It sends a message to a remote node and waits for a reply. It takes a Sendable & Receive message and returns a Reply message. It also takes a timeout argument which is the maximum time to wait for a reply. It expects a zio.json.JsonDecoder instance for the reply & a zio.json.JsonEncoder instance for the request message. ask api can be called from within and outside of receive function.

Ask
case class Gossip(msg_id: MessageId, numbers: Seq[Int], `type`: String = "gossip")
  extends NeedsReply, Sendable derives JsonCodec

case class GossipOk(in_reply_to: MessageId, myNumbers: Seq[Int], `type`: String = "gossip_ok")
  extends Reply derives JsonCodec  

val gossipResult: ZIO[MaelstromRuntime, AskError, GossipOk] =
  MessageId.next.flatMap( msgId => //(1)!
    NodeId("n2").ask[GossipOk](Gossip(msgId, Seq(1,2)), 5.seconds)
  )
  1. MessageId.next gives next sequential message id

Tip

Use MessageId.next to generate a new message id. It is a sequential id generator

Important

Make sure to use different message ids for different messages. If you use the same message id for different messages, the receiver will not be able to map the response to the request

The ask api can return either a successful response or an AskError

AskError
type AskError = ErrorMessage | DecodingFailure | Timeout

Ask error can be one of the following:

  1. Timeout if the reply was not received within given duration
  2. DecodingFailure if the reply could not be decoded into the given type
  3. ErrorMessage if the sender sends an error message instead of the reply message.
Ask error handling
case class Query(id: Int, msg_id: MessageId, `type`: String = "query")
    extends NeedsReply,
      Sendable derives JsonCodec

case class Answer(in_reply_to: MessageId, text: String) extends Reply derives JsonCodec

val askResponse: ZIO[MaelstromRuntime, AskError, Unit] = for
  msgId  <- MessageId.next
  answer <- NodeId("g4").ask[Answer](Query(1, msgId), 5.seconds)
  _      <- ZIO.logInfo(s"answer: $answer")
yield ()

askResponse
  .catchAll {
    case t: Timeout         => ZIO.logError(s"timeout: ${t.timeout}")
    case d: DecodingFailure => ZIO.logError(s"decoding failure: ${d.error}")
    case e: ErrorMessage =>
      val code: ErrorCode = e.code
      val text: String    = e.text
      ZIO.logError(s"error code: $code, error text: $text")
  }

Sender can send an error message if it encounters an error while processing the request message or when request is invalid. You can read more about error messages in the error messages section

4. reply#

From within receive function, you can call reply api to send a reply message to the source of the current message.

Reply
case class Gossip(msg_id: MessageId, numbers: Seq[Int], `type`: String = "gossip")
  extends NeedsReply derives JsonCodec

case class GossipOk(in_reply_to: MessageId, myNumbers: Seq[Int], `type`: String = "gossip_ok")
  extends Reply, Sendable derives JsonCodec  

val messageHandler =  
  receive[Gossip] { 
    case msg: Gossip => reply(GossipOk(msg.msg_id, Seq(1,2)))
  }

reply api takes an instance of Sendable & Reply message which has a zio.json.JsonEncoder instance.

Tip

reply can be called only inside of receive function. Outside of the receive function, you can use send api which takes a remote NodeId argument.

Error messages#

zio-maelstrom has a built in data type for error messages called ErrorMessage

ErrorMessage
case class ErrorMessage(
    in_reply_to: MessageId,
    code: ErrorCode,
    text: String,
    `type`: String = "error"
) extends Sendable
    with Reply
    derives JsonCodec

It supports all the standard maelstrom error codes as well as ability to send custom error codes

View all error codes
Error codes
sealed trait ErrorCode(private val code1: Int, val definite: Boolean) {
  def code: Int = code1
  override def toString: String = s"error: ${this.getClass.getSimpleName.replace("$","")}, code: $code"
}

object ErrorCode:
  /**
    * Indicates that the requested operation could not be completed within a timeout.
    */
  object Timeout extends ErrorCode(0, false)
  /**
    * Thrown when a client sends an RPC request to a node which does not exist.
    */
  object NodeNotFound extends ErrorCode(1, true)
  /**
    * Use this error to indicate that a requested operation is not supported by the current implementation. Helpful for stubbing out APIs during development.
    */
  object NotSupported extends ErrorCode(10, true)
  /**
    * Indicates that the operation definitely cannot be performed at this time--perhaps because the server is in a read-only state, has not yet been initialized, believes its peers to be down, and so on. Do not use this error for indeterminate cases, when the operation may actually have taken place.
    */
  object TemporarilyUnavailable extends ErrorCode(11, true)
  /**
    * The client's request did not conform to the server's expectations, and could not possibly have been processed.
    */
  object MalformedRequest extends ErrorCode(12, true)
  /**
    * Indicates that some kind of general, indefinite error occurred. Use this as a catch-all for errors you can't otherwise categorize, or as a starting point for your error handler: it's safe to return internal-error for every problem by default, then add special cases for more specific errors later.
    */
  object Crash extends ErrorCode(13, false)
  /**
    * Indicates that some kind of general, definite error occurred. Use this as a catch-all for errors you can't otherwise categorize, when you specifically know that the requested operation has not taken place. For instance, you might encounter an indefinite failure during the prepare phase of a transaction: since you haven't started the commit process yet, the transaction can't have taken place. It's therefore safe to return a definite abort to the client.
    */
  object Abort extends ErrorCode(14, true)
  /**
    * The client requested an operation on a key which does not exist (assuming the operation should not automatically create missing keys).
    */
  object KeyDoesNotExist extends ErrorCode(20, true)
  /**
    * The client requested the creation of a key which already exists, and the server will not overwrite it.
    */
  object KeyAlreadyExists extends ErrorCode(21, true)
  /**
    * The requested operation expected some conditions to hold, and those conditions were not met. For instance, a compare-and-set operation might assert that the value of a key is currently 5; if the value is 3, the server would return precondition-failed.
    */
  object PreconditionFailed extends ErrorCode(22, true)
  /**
    * The requested transaction has been aborted because of a conflict with another transaction. Servers need not return this error on every conflict: they may choose to retry automatically instead.
    */
  object TxnConflict extends ErrorCode(30, true)
  /**
    * Custom error code
    *
    * @param code the error code
    */
  case class Custom(override val code: Int) extends ErrorCode(code, false)

You can send an error message to any node id as a reply to another message. Here's an example

Send standard error
case class InMessage(msg_id: MessageId) extends NeedsReply derives JsonCodec

val handler = receive[InMessage] { case msg: InMessage =>
  reply(ErrorMessage(msg.msg_id, ErrorCode.PreconditionFailed, "some text message")) // (1)!
}
  1. You can set any text in text field
Send custom error
case class InMessage(msg_id: MessageId) extends NeedsReply derives JsonCodec

val handler = receive[InMessage] { case msg: InMessage =>
  reply(ErrorMessage(msg.msg_id, ErrorCode.Custom(1005), "some text message"))
}

Maelstrom services#

Maelstrom starts some services at the beginning of every simulation by default

These are their node ids:

  1. lin-kv
  2. lww-kv
  3. seq-kv
  4. lin-tso

You can read more these services on the maelstrom docs

ZIO-Maelstrom provides LinkKv, LwwKv, SeqKv & LinTso clients to interact with these services. SeqKv, LwwKv & LinKv are all key value stores. They have the same api but different consistency guarantees.

Native KV APIs#

Native apis are provided by the maelstrom services

read

Takes a key and returns the value of the key. If the value does not exist, it returns KeyDoesNotExist error code.

val counterValue: ZIO[SeqKv, AskError, Int] = SeqKv.read("counter", 5.seconds)
write

Takes a key and a value and writes the value against the key. If a value already exists against the key, it is overwritten.

val _: ZIO[LwwKv, AskError, Unit] = LwwKv.write("counter", 1, 5.seconds)
cas

CAS stands for compare-and-swap. It takes a key, a value and an expected value. It writes the value against the key only if the expected value matches the current value of the key. If the value is different, then it returns PreconditionFailed error code. If the key does not exist, it returns KeyDoesNotExist error code. If you set createIfNotExists to true, it will create the key if it does not exist.

val _: ZIO[LinKv, AskError, Unit] =
  LinKv.cas(key = "counter", from = 1, to = 3, createIfNotExists = false, timeout = 5.seconds)

Above example will write 3 to counter only if the current value of counter is 1. If the current value is different, it will return PreconditionFailed error code.

High level KV APIs#

High level apis are built on top of native apis by combining multiple native apis and/or adding additional logic

readOption

Takes a key and returns an Option of the value of the key. If the value does not exist, it returns None. Does not return KeyDoesNotExist error code.

val counterMaybe: ZIO[SeqKv, AskError, Option[Int]] = SeqKv.readOption("counter", 5.seconds)
writeIfNotExists

Takes a key and a value and writes the value against the key only if the key does not exist. If the key already exists, it returns PreconditionFailed error code.

val _: ZIO[LwwKv, AskError, Unit] = LwwKv.writeIfNotExists("counter", 1, 5.seconds)
update

This is a high level api built on top of other apis. It takes a key, a function that takes the current value and returns a new value. It reads the current value of the key, applies the function and writes the new value against the key. If the value has changed in the meantime, it applies the function again and keeps trying until the value does not change. This is useful for implementing atomic operations like incrementing a value.

val increasedValue: ZIO[SeqKv, AskError, Int] = SeqKv.update("counter", 5.seconds) {
  case Some(oldValue) => oldValue + 1
  case None           => 1
}

The timeout value does not apply to entire operation but to each individual read, cas and write operation. So the total time taken by the operation can be more than the timeout value. Retries are only done when the value has changed in the meantime. And other error is returned immediately. This also applies to updateZIO api.

updateZIO

This is a high level api built on top of other apis. It takes a key, a function that takes the current value and returns a ZIO that returns a new value. It reads the current value of the key, applies the ZIO and writes the new value against the key. If the value has changed in the meantime, it applies the function again and keeps trying until the value does not change. This is very similar to update but the function can be a ZIO which can do some async operations. When retries happen, the ZIO is retried as well, so side effects should be avoided in this function.

def getNewNumber(oldValue: Option[Int]): ZIO[Any, Nothing, Int] = ???

val increasedValueZIO: ZIO[SeqKv, AskError, Int] =
  SeqKv.updateZIO("counter", 5.seconds)(getNewNumber)

Important

  • Because all these apis are built on top of ask api, they can return AskError which you may need to handle. According to maelstrom documentation, they can return KeyDoesNotExist or PreconditionFailed error codes.

  • In case of network partition or delay, all of the above apis can return Timeout error code.

  • When incorrect types are used to decode the response, they can return DecodingFailure error code.

Tip

key and value of the key value store can be any type that has a zio.json.JsonCodec instance

TSO APIs#

LinTso is a linearizable timestamp oracle. It has the following api

Linearizable timestamp oracle
val timestamp: ZIO[LinTso, AskError, Int] = LinTso.ts(5.seconds)

Settings#

Below are the settings that can be configured for a node

  1. Log Level

    The default log level is LogLevel.Info. If you want more detailed logs, you can set it to LogLevel.Debug. If you want to disable logs, you can set it to LogLevel.None

  2. Log Format

    Log format can be either Plain or Colored. Default is colored.

  3. Concurrency

    This is the concurrency level for processing messages. Default is 1024. This means 1024 request messages(receive api) + 1024 response messages (ask api) = 2048 messages can be processed in parallel.

Default example
object MainApp extends MaelstromNode {
  val program = ???
}
Customization example
object MainApp extends MaelstromNode {

  override val configure = NodeConfig
    .withConcurrency(100)
    .withLogLevelDebug
    .withPlaintextLog

  val program = ZIO.logDebug("Starting node...")
}

Logging#

You can log at different levels using ZIO's logging APIs - ZIO.logDebug, ZIO.logInfo, etc. All these APIs log to STDERR because STDOUT is used for sending messages. You can configure the log level using settings API. By default, log statements are colored. You can change it to plain using settings API

Logging
object MainApplication extends MaelstromNode {

  override val configure = NodeConfig.withLogLevelDebug

  def program = for
    _ <- ZIO.logDebug("Starting node")
    _ <- ZIO.logInfo("Received message")
    _ <- ZIO.logWarning("Something is wrong")
    _ <- ZIO.logError("Something is really wrong")
  yield ()
}

Above program, when initialized, will output the following:

log-output

Testing#

Using static inline messages:

When developing a solution, you sometimes want to test it without maelstrom. While you can use stdIn to enter the input, you can also hardcode the input messages in the program itself.

Inline Input Messages
object InlineInput extends MaelstromNode {

  case class Ping(msg_id: MessageId) extends NeedsReply derives JsonCodec // (1)!

  case class Pong(in_reply_to: MessageId, `type`: String = "pong") extends Sendable, Reply
      derives JsonEncoder

  val program = receive[Ping](ping => reply(Pong(ping.msg_id)))

  override val configure: NodeConfig =
    NodeConfig
      .withStaticInput(
        NodeId("A"),                                    // (2)!
        Set(NodeId("B"), NodeId("C")),                  // (3)!
        InlineMessage(NodeId("B"), Ping(MessageId(1))), // (4)!
        InlineMessage(NodeId("C"), Ping(MessageId(2)))
      )
}
  1. When using inline input, you need JsonEncoder and JsonDecoder instances for input messages
  2. Node's own id
  3. Other nodes in the cluster
  4. Messages to be sent to the node. These are varargs and you can send any number of messages

Tip

When debugging an issue, use static input, set log level to debug and set concurrency to 1. This might help you isolate the issue.

Using static input files:

You can configure the runtime to read the input from a file.

With Files
object Main extends MaelstromNode {

  case class Ping(msg_id: MessageId) extends NeedsReply derives JsonDecoder

  case class Pong(in_reply_to: MessageId, `type`: String = "pong") extends Sendable, Reply
      derives JsonEncoder

  val program = receive[Ping](ping => reply(Pong(ping.msg_id)))

  override val configure: NodeConfig =
    NodeConfig
      .withStaticInput(
        NodeId("A"),                          // (1)!
        Set(NodeId("B"), NodeId("C")),        // (2)!
        "examples" / "echo" / "fileinput.txt" // (3)!
      )
      .withLogLevelDebug
}
  1. Node's own id
  2. Other nodes in the cluster
  3. Path to the file containing the input messages
fileinput.txt
{"src": "c1", "dest": "n1", "body": { "type" : "ping", "msg_id": 1 }}
sleep 2s
{"src": "c1", "dest": "n1", "body": { "type" : "ping", "msg_id": 2 }}

This will run the entire program with the input from the file. With file input you also get to simulate delay in inputs using sleep statements as shown above.

file-input