Scala Interpreter via REST API

Basic Design

A simple pool of interpreters is created at the start of each session. Once a scala interpreter is associated with the session, a new interpreter is added to the pool. Each interpreter is deleted when its not used for some fixed time.

Example usage of Scala Interpreters using the REST API

Here, you can find some basic calls to access scala interpreter behind REST API using curl.

Init interpreter and obtain session ID

curl --data-urlencode '' http://192.168.0.10:54321/3/scalaint

Destroy session and interpreter associated with the session

curl -X DELETE
http://192.168.0.10:54321/3/scalaint/512ef484-e21a-48f9-979e-2879f63a779e

Get all active sessions

curl http://192.168.0.10:54321/3/scalaint

Interpret the incomplete code, status is error

curl --data-urlencode code='sc.'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

Try to interpret the code, status is error (function does not exist)

curl --data-urlencode code='foo()'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

Interpret the code, result is success

curl --data-urlencode code='21+21'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

Interpret the code with the Spark context, use semicolon to separate commands

curl --data-urlencode code='val data = Array(1, 2, 3, 4, 5); val
distData = sc.parallelize(data); val result = distData.map(s => s+10)'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

Interpret the code with the Spark context, use new lines to separate commands

curl --data-urlencode code=' val data = Array(1, 2, 3, 4, 5) val
distData = sc.parallelize(data) val result = distData.map(s => s+10)'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

Declare class and use it in the next call

curl --data-urlencode code=' case class A(number: Int)'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298

curl --data-urlencode code=' val data = Array(1, 2, 3, 4, 5) val
distData = sc.parallelize(data) val result = distData.map(s => A(s))'
http://192.168.0.10:54321/3/scalaint/c3e5ea38-0b7e-4136-9ba3-21615ea2d298