{"action":"created","comment":{"url":"https://api.github.com/repos/apache/ignite/pulls/comments/234902370","pull_request_review_id":176635712,"id":234902370,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIzNDkwMjM3MA==","diff_hunk":"@@ -0,0 +1,356 @@\n+/*\n+ * Licensed to the Apache Software Foundation (ASF) under one or more\n+ * contributor license agreements.  See the NOTICE file distributed with\n+ * this work for additional information regarding copyright ownership.\n+ * The ASF licenses this file to You under the Apache License, Version 2.0\n+ * (the \"License\"); you may not use this file except in compliance with\n+ * the License.  You may obtain a copy of the License at\n+ *\n+ *      http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ */\n+\n+package org.apache.ignite.ml.inference.builder;\n+\n+import java.io.Serializable;\n+import java.util.UUID;\n+import java.util.concurrent.ArrayBlockingQueue;\n+import java.util.concurrent.BlockingQueue;\n+import java.util.concurrent.CompletableFuture;\n+import java.util.concurrent.ExecutorService;\n+import java.util.concurrent.Executors;\n+import java.util.concurrent.Future;\n+import java.util.concurrent.atomic.AtomicBoolean;\n+import org.apache.ignite.Ignite;\n+import org.apache.ignite.IgniteQueue;\n+import org.apache.ignite.Ignition;\n+import org.apache.ignite.configuration.CollectionConfiguration;\n+import org.apache.ignite.ml.inference.InfModel;\n+import org.apache.ignite.ml.inference.parser.InfModelParser;\n+import org.apache.ignite.ml.inference.reader.InfModelReader;\n+import org.apache.ignite.services.Service;\n+import org.apache.ignite.services.ServiceContext;\n+\n+/**\n+ * Builder that allows to start Apache Ignite services for distributed inference and get a facade that allows to work\n+ * with this distributed inference infrastructure as with a single inference model (see {@link InfModel}).\n+ *\n+ * The common workflow is based on a request/response queues and multiple workers represented by Apache Ignite services.\n+ * When the {@link #build(InfModelReader, InfModelParser)} method is called Apache Ignite starts the specified number of\n+ * service instances and request/response queues. Each service instance reads request queue, processes inbound requests\n+ * and writes responses to response queue. The facade returned by the {@link #build(InfModelReader, InfModelParser)}\n+ * method operates with request/response queues. When the {@link InfModel#predict(Object)} method is called the argument\n+ * is sent as a request to the request queue. When the response is appeared in the response queue the {@link Future}\n+ * correspondent to the previously sent request is completed and the processing finishes.\n+ *\n+ * Be aware that {@link InfModel#close()} method must be called to clear allocated resources, stop services and remove\n+ * queues.\n+ */\n+public class IgniteDistributedInfModelBuilder implements AsyncInfModelBuilder {\n+    /** Template of the inference service name. */\n+    private static final String INFERENCE_SERVICE_NAME_PATTERN = \"inference_service_%s\";\n+\n+    /** Template of the inference request queue name. */\n+    private static final String INFERENCE_REQ_QUEUE_NAME_PATTERN = \"inference_queue_req_%s\";\n+\n+    /** Template of the inference response queue name. */\n+    private static final String INFERENCE_RES_QUEUE_NAME_PATTERN = \"inference_queue_res_%s\";\n+\n+    /** Default capacity for all queues used in this class (request queue, response queue, received queue). */\n+    private static final int QUEUE_CAPACITY = 100;\n+\n+    /** Default configuration for Apache Ignite queues used in this class (request queue, response queue). */\n+    private static final CollectionConfiguration queueCfg = new CollectionConfiguration();\n+\n+    /** Ignite instance. */\n+    private final Ignite ignite;\n+\n+    /** Number of service instances maintaining to make distributed inference. */\n+    private final int instances;\n+\n+    /**\n+     * Constructs a new instance of Ignite distributed inference model builder.\n+     *\n+     * @param ignite Ignite instance.\n+     * @param instances Number of service instances maintaining to make distributed inference.\n+     */\n+    public IgniteDistributedInfModelBuilder(Ignite ignite, int instances) {\n+        this.ignite = ignite;\n+        this.instances = instances;\n+    }\n+\n+    /**\n+     * Starts the specified in constructor number of service instances and request/response queues. Each service\n+     * instance reads request queue, processes inbound requests and writes responses to response queue. The returned\n+     * facade is represented by the {@link InfModel} operates with request/response queues, but hides these details\n+     * behind {@link InfModel#predict(Object)} method of {@link InfModel}.\n+     *\n+     * Be aware that {@link InfModel#close()} method must be called to clear allocated resources, stop services and\n+     * remove queues.\n+     *\n+     * @param reader Inference model reader.\n+     * @param parser Inference model parser.\n+     * @param <I> Type of model input.\n+     * @param <O> Type of model output.\n+     * @return Facade represented by {@link InfModel}.\n+     */\n+    @Override public <I extends Serializable, O extends Serializable> InfModel<I, Future<O>> build(\n+        InfModelReader reader, InfModelParser<I, O> parser) {\n+        return new DistributedInfModel<>(ignite, UUID.randomUUID().toString(), reader, parser, instances);\n+    }\n+\n+    /**\n+     * Apache Ignite service that makes inference reading requests from the request queue and writing responses to the\n+     * response queue. This service is assumed to be deployed in {@link #build(InfModelReader, InfModelParser)} method\n+     * and cancelled in {@link InfModel#close()} method of the inference model.\n+     *\n+     * @param <I> Type of model input.\n+     * @param <O> Type of model output.\n+     */\n+    private static class IgniteDistributedInfModelService<I extends Serializable, O extends Serializable>\n+        implements Service {\n+        /** */\n+        private static final long serialVersionUID = -3596084917874395597L;\n+\n+        /** Inference model reader. */\n+        private final InfModelReader reader;\n+\n+        /** Inference model parser. */\n+        private final InfModelParser<I, O> parser;\n+\n+        /** Suffix that with correspondent templates formats service and queue names. */\n+        private final String suffix;\n+\n+        /** Request queue, is created in {@link #init(ServiceContext)} method. */\n+        private transient IgniteQueue<I> reqQueue;\n+\n+        /** Response queue, is created in {@link #init(ServiceContext)} method. */\n+        private transient IgniteQueue<O> resQueue;\n+\n+        /** Inference model, is created in {@link #init(ServiceContext)} method. */\n+        private transient InfModel<I, O> mdl;\n+\n+        /**\n+         * Constructs a new instance of Ignite distributed inference model service.\n+         *\n+         * @param reader Inference model reader.\n+         * @param parser Inference model parser.\n+         * @param suffix Suffix that with correspondent templates formats service and queue names.\n+         */\n+        IgniteDistributedInfModelService(InfModelReader reader, InfModelParser<I, O> parser, String suffix) {\n+            this.reader = reader;\n+            this.parser = parser;\n+            this.suffix = suffix;\n+        }\n+\n+        /** {@inheritDoc} */\n+        @Override public void init(ServiceContext ctx) {\n+            Ignite ignite = Ignition.localIgnite();\n+\n+            reqQueue = ignite.queue(String.format(INFERENCE_REQ_QUEUE_NAME_PATTERN, suffix), QUEUE_CAPACITY, queueCfg);\n+            resQueue = ignite.queue(String.format(INFERENCE_RES_QUEUE_NAME_PATTERN, suffix), QUEUE_CAPACITY, queueCfg);\n+\n+            mdl = parser.parse(reader.read());\n+        }\n+\n+        /** {@inheritDoc} */\n+        @Override public void execute(ServiceContext ctx) {\n+            while (!ctx.isCancelled()) {\n+                I req;\n+                try {\n+                    req = reqQueue.take();\n+                }\n+                catch (IllegalStateException e) {\n+                    // If the queue is removed during the take() operation exception should be ignored.\n+                    if (!reqQueue.removed())\n+                        throw e;\n+                    continue;\n+                }\n+\n+                O res = mdl.predict(req);\n+\n+                try {\n+                    resQueue.put(res);\n+                }\n+                catch (IllegalStateException e) {\n+                    // If the queue is removed during the put() operation exception should be ignored.\n+                    if (!resQueue.removed())\n+                        throw e;\n+                }\n+            }\n+        }\n+\n+        /** {@inheritDoc} */\n+        @Override public void cancel(ServiceContext ctx) {\n+            // Do nothing. Queues are assumed to be closed in model close() method.\n+        }\n+    }\n+\n+    /**\n+     * Facade that operates with request/response queues to make distributed inference, but hides these details\n+     * behind {@link InfModel#predict(Object)} method of {@link InfModel}.\n+     *\n+     * Be aware that {@link InfModel#close()} method must be called to clear allocated resources, stop services and\n+     * remove queues.\n+     *\n+     * @param <I> Type of model input.\n+     * @param <O> Type of model output.\n+     */\n+    private static class DistributedInfModel<I extends Serializable, O extends Serializable>\n+        implements InfModel<I, Future<O>> {\n+        /** Ignite instance. */\n+        private final Ignite ignite;\n+\n+        /** Suffix that with correspondent templates formats service and queue names. */\n+        private final String suffix;\n+\n+        /** Request queue. */\n+        private final IgniteQueue<I> reqQueue;\n+\n+        /** Response queue. */\n+        private final IgniteQueue<O> resQueue;\n+\n+        /** Futures that represents requests that have been sent, but haven't been responded yet. */\n+        private final BlockingQueue<CompletableFuture<O>> futures = new ArrayBlockingQueue<>(QUEUE_CAPACITY);\n+\n+        /** Thread pool for receiver to work in. */\n+        private final ExecutorService receiverThreadPool = Executors.newSingleThreadExecutor();\n+\n+        /** Flag identified that model is up and running. */\n+        private final AtomicBoolean running = new AtomicBoolean(false);\n+\n+        /** Receiver future. */\n+        private volatile Future<?> receiverFut;\n+\n+        /**\n+         * Constructs a new instance of distributed inference model.\n+         *\n+         * @param ignite Ignite instance.\n+         * @param suffix Suffix that with correspondent templates formats service and queue names.\n+         * @param reader Inference model reader.\n+         * @param parser Inference model parser.\n+         * @param instances Number of service instances maintaining to make distributed inference.\n+         */\n+        DistributedInfModel(Ignite ignite, String suffix, InfModelReader reader, InfModelParser<I, O> parser,\n+            int instances) {\n+            this.ignite = ignite;\n+            this.suffix = suffix;\n+\n+            reqQueue = ignite.queue(String.format(INFERENCE_REQ_QUEUE_NAME_PATTERN, suffix), QUEUE_CAPACITY, queueCfg);\n+            resQueue = ignite.queue(String.format(INFERENCE_RES_QUEUE_NAME_PATTERN, suffix), QUEUE_CAPACITY, queueCfg);\n+\n+            startReceiver();\n+            startService(reader, parser, instances);\n+\n+            running.set(true);\n+        }\n+\n+        /** {@inheritDoc} */\n+        @Override public Future<O> predict(I input) {\n+            if (!running.get())\n+                throw new IllegalStateException(\"Inference model is not running\");\n+\n+            reqQueue.put(input);\n+\n+            try {\n+                CompletableFuture<O> fut = new CompletableFuture<>();\n+                futures.put(fut);\n+                return fut;\n+            }\n+            catch (InterruptedException e) {\n+                close(); // In case of exception in the above code the model state becomes invalid and model is closed.\n+                throw new RuntimeException(e);\n+            }\n+        }\n+\n+        /**\n+         * Starts Apache Ignite services that represent distributed inference infrastructure.\n+         *\n+         * @param reader Inference model reader.\n+         * @param parser Inference model parser.\n+         * @param instances Number of service instances maintaining to make distributed inference.\n+         */\n+        private void startService(InfModelReader reader, InfModelParser<I, O> parser, int instances) {\n+            ignite.services().deployMultiple(\n+                String.format(INFERENCE_SERVICE_NAME_PATTERN, suffix),\n+                new IgniteDistributedInfModelService<>(reader, parser, suffix),\n+                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