Make CSharpBackendHandler thread safe
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56831a1124
Коммит
f6e20ebd19
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@ -26,7 +26,7 @@ import io.netty.handler.codec.bytes.{ByteArrayDecoder, ByteArrayEncoder}
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*/
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// Since SparkCLR is a package to Spark and not a part of spark-core it mirrors the implementation of
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// selected parts from RBackend with SparkCLR customizations
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class CSharpBackend {
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class CSharpBackend { self => // for accessing the this reference in inner class(ChannelInitializer)
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private[this] var channelFuture: ChannelFuture = null
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private[this] var bootstrap: ServerBootstrap = null
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private[this] var bossGroup: EventLoopGroup = null
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@ -35,7 +35,6 @@ class CSharpBackend {
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// need at least 3 threads, use 10 here for safety
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bossGroup = new NioEventLoopGroup(10)
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val workerGroup = bossGroup
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val handler = new CSharpBackendHandler(this) //TODO - work with SparkR devs to make this configurable and reuse RBackend
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bootstrap = new ServerBootstrap()
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.group(bossGroup, workerGroup)
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@ -54,7 +53,8 @@ class CSharpBackend {
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//new LengthFieldBasedFrameDecoder(Integer.MAX_VALUE, 0, 4, 0, 4))
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new LengthFieldBasedFrameDecoder(Integer.MAX_VALUE, 0, 4, 0, 4))
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.addLast("decoder", new ByteArrayDecoder())
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.addLast("handler", handler)
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//TODO - work with SparkR devs to make this configurable and reuse RBackend
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.addLast("handler", new CSharpBackendHandler(self))
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}
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})
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@ -23,7 +23,6 @@ import scala.collection.mutable.HashMap
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*/
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// Since SparkCLR is a package to Spark and not a part of spark-core, it mirrors the implementation
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// of selected parts from RBackend with SparkCLR customizations
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@Sharable
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class CSharpBackendHandler(server: CSharpBackend) extends SimpleChannelInboundHandler[Array[Byte]] {
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override def channelRead0(ctx: ChannelHandlerContext, msg: Array[Byte]): Unit = {
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@ -269,31 +268,36 @@ class CSharpBackendHandler(server: CSharpBackend) extends SimpleChannelInboundHa
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*/
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private object JVMObjectTracker {
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// TODO: This map should be thread-safe if we want to support multiple
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// connections at the same time
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// Muliple threads may access objMap and increase objCounter. Because get method return Option,
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// it is convenient to use a Scala map instead of java.util.concurrent.ConcurrentHashMap.
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private[this] val objMap = new HashMap[String, Object]
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// TODO: We support only one connection now, so an integer is fine.
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// Investigate using use atomic integer in the future.
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private[this] var objCounter: Int = 1
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def getObject(id: String): Object = {
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objMap(id)
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synchronized {
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objMap(id)
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}
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}
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def get(id: String): Option[Object] = {
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objMap.get(id)
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synchronized {
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objMap.get(id)
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}
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}
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def put(obj: Object): String = {
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val objId = objCounter.toString
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objCounter = objCounter + 1
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objMap.put(objId, obj)
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objId
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synchronized {
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val objId = objCounter.toString
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objCounter = objCounter + 1
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objMap.put(objId, obj)
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objId
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}
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}
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def remove(id: String): Option[Object] = {
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objMap.remove(id)
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synchronized {
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objMap.remove(id)
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}
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}
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}
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