Add batching processor base type AbstractBatchingProcessor (#14554)

Signed-off-by: Liyun Xiu <[email protected]>
(cherry picked from commit 8e493f3)
Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

CHANGELOG.md

@@ -9,6 +9,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 - [Remote Store] Rate limiter for remote store low priority uploads ([#14374](https://github.com/opensearch-project/OpenSearch/pull/14374/))
 - Apply the date histogram rewrite optimization to range aggregation ([#13865](https://github.com/opensearch-project/OpenSearch/pull/13865))
 - [Writable Warm] Add composite directory implementation and integrate it with FileCache ([12782](https://github.com/opensearch-project/OpenSearch/pull/12782))
+- Add batching supported processor base type AbstractBatchingProcessor ([#14554](https://github.com/opensearch-project/OpenSearch/pull/14554))
 - Fix race condition while parsing derived fields from search definition ([14445](https://github.com/opensearch-project/OpenSearch/pull/14445))
 - Add allowlist setting for ingest-common and search-pipeline-common processors ([#14439](https://github.com/opensearch-project/OpenSearch/issues/14439))
 

server/src/main/java/org/opensearch/ingest/AbstractBatchingProcessor.java

@@ -0,0 +1,136 @@
+/*
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * The OpenSearch Contributors require contributions made to
+ * this file be licensed under the Apache-2.0 license or a
+ * compatible open source license.
+ */
+
+package org.opensearch.ingest;
+
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.function.Consumer;
+
+import static org.opensearch.ingest.ConfigurationUtils.newConfigurationException;
+
+/**
+ * Abstract base class for batch processors.
+ *
+ * @opensearch.internal
+ */
+public abstract class AbstractBatchingProcessor extends AbstractProcessor {
+
+    public static final String BATCH_SIZE_FIELD = "batch_size";
+    private static final int DEFAULT_BATCH_SIZE = 1;
+    protected final int batchSize;
+
+    protected AbstractBatchingProcessor(String tag, String description, int batchSize) {
+        super(tag, description);
+        this.batchSize = batchSize;
+    }
+
+    /**
+     * Internal logic to process batched documents, must be implemented by concrete batch processors.
+     *
+     * @param ingestDocumentWrappers {@link List} of {@link IngestDocumentWrapper} to be processed.
+     * @param handler                {@link Consumer} to be called with the results of the processing.
+     */
+    protected abstract void subBatchExecute(
+        List<IngestDocumentWrapper> ingestDocumentWrappers,
+        Consumer<List<IngestDocumentWrapper>> handler
+    );
+
+    @Override
+    public void batchExecute(List<IngestDocumentWrapper> ingestDocumentWrappers, Consumer<List<IngestDocumentWrapper>> handler) {
+        if (ingestDocumentWrappers.isEmpty()) {
+            handler.accept(Collections.emptyList());
+            return;
+        }
+
+        // if batch size is larger than document size, send one batch
+        if (this.batchSize >= ingestDocumentWrappers.size()) {
+            subBatchExecute(ingestDocumentWrappers, handler);
+            return;
+        }
+
+        // split documents into multiple batches and send each batch to batch processors
+        List<List<IngestDocumentWrapper>> batches = cutBatches(ingestDocumentWrappers);
+        int size = ingestDocumentWrappers.size();
+        AtomicInteger counter = new AtomicInteger(size);
+        List<IngestDocumentWrapper> allResults = Collections.synchronizedList(new ArrayList<>());
+        for (List<IngestDocumentWrapper> batch : batches) {
+            this.subBatchExecute(batch, batchResults -> {
+                allResults.addAll(batchResults);
+                if (counter.addAndGet(-batchResults.size()) == 0) {
+                    handler.accept(allResults);
+                }
+                assert counter.get() >= 0 : "counter is negative";
+            });
+        }
+    }
+
+    private List<List<IngestDocumentWrapper>> cutBatches(List<IngestDocumentWrapper> ingestDocumentWrappers) {
+        List<List<IngestDocumentWrapper>> batches = new ArrayList<>();
+        for (int i = 0; i < ingestDocumentWrappers.size(); i += this.batchSize) {
+            batches.add(ingestDocumentWrappers.subList(i, Math.min(i + this.batchSize, ingestDocumentWrappers.size())));
+        }
+        return batches;
+    }
+
+    /**
+     * Factory class for creating {@link AbstractBatchingProcessor} instances.
+     *
+     * @opensearch.internal
+     */
+    public abstract static class Factory implements Processor.Factory {
+        final String processorType;
+
+        protected Factory(String processorType) {
+            this.processorType = processorType;
+        }
+
+        /**
+         * Creates a new processor instance.
+         *
+         * @param processorFactories The processor factories.
+         * @param tag                 The processor tag.
+         * @param description         The processor description.
+         * @param config              The processor configuration.
+         * @return The new AbstractBatchProcessor instance.
+         * @throws Exception If the processor could not be created.
+         */
+        @Override
+        public AbstractBatchingProcessor create(
+            Map<String, Processor.Factory> processorFactories,
+            String tag,
+            String description,
+            Map<String, Object> config
+        ) throws Exception {
+            int batchSize = ConfigurationUtils.readIntProperty(this.processorType, tag, config, BATCH_SIZE_FIELD, DEFAULT_BATCH_SIZE);
+            if (batchSize < 1) {
+                throw newConfigurationException(this.processorType, tag, BATCH_SIZE_FIELD, "batch size must be a positive integer");
+            }
+            return newProcessor(tag, description, batchSize, config);
+        }
+
+        /**
+         * Returns a new processor instance.
+         *
+         * @param tag tag of the processor
+         * @param description description of the processor
+         * @param batchSize batch size of the processor
+         * @param config configuration of the processor
+         * @return a new batch processor instance
+         */
+        protected abstract AbstractBatchingProcessor newProcessor(
+            String tag,
+            String description,
+            int batchSize,
+            Map<String, Object> config
+        );
+    }
+}

server/src/test/java/org/opensearch/ingest/AbstractBatchingProcessorTests.java

@@ -0,0 +1,160 @@
+/*
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * The OpenSearch Contributors require contributions made to
+ * this file be licensed under the Apache-2.0 license or a
+ * compatible open source license.
+ */
+
+package org.opensearch.ingest;
+
+import org.opensearch.OpenSearchParseException;
+import org.opensearch.test.OpenSearchTestCase;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.function.Consumer;
+
+public class AbstractBatchingProcessorTests extends OpenSearchTestCase {
+
+    public void testBatchExecute_emptyInput() {
+        DummyProcessor processor = new DummyProcessor(3);
+        Consumer<List<IngestDocumentWrapper>> handler = (results) -> assertTrue(results.isEmpty());
+        processor.batchExecute(Collections.emptyList(), handler);
+        assertTrue(processor.getSubBatches().isEmpty());
+    }
+
+    public void testBatchExecute_singleBatchSize() {
+        DummyProcessor processor = new DummyProcessor(3);
+        List<IngestDocumentWrapper> wrapperList = Arrays.asList(
+            IngestDocumentPreparer.createIngestDocumentWrapper(1),
+            IngestDocumentPreparer.createIngestDocumentWrapper(2),
+            IngestDocumentPreparer.createIngestDocumentWrapper(3)
+        );
+        List<IngestDocumentWrapper> resultList = new ArrayList<>();
+        processor.batchExecute(wrapperList, resultList::addAll);
+        assertEquals(wrapperList, resultList);
+        assertEquals(1, processor.getSubBatches().size());
+        assertEquals(wrapperList, processor.getSubBatches().get(0));
+    }
+
+    public void testBatchExecute_multipleBatches() {
+        DummyProcessor processor = new DummyProcessor(2);
+        List<IngestDocumentWrapper> wrapperList = Arrays.asList(
+            IngestDocumentPreparer.createIngestDocumentWrapper(1),
+            IngestDocumentPreparer.createIngestDocumentWrapper(2),
+            IngestDocumentPreparer.createIngestDocumentWrapper(3),
+            IngestDocumentPreparer.createIngestDocumentWrapper(4),
+            IngestDocumentPreparer.createIngestDocumentWrapper(5)
+        );
+        List<IngestDocumentWrapper> resultList = new ArrayList<>();
+        processor.batchExecute(wrapperList, resultList::addAll);
+        assertEquals(wrapperList, resultList);
+        assertEquals(3, processor.getSubBatches().size());
+        assertEquals(wrapperList.subList(0, 2), processor.getSubBatches().get(0));
+        assertEquals(wrapperList.subList(2, 4), processor.getSubBatches().get(1));
+        assertEquals(wrapperList.subList(4, 5), processor.getSubBatches().get(2));
+    }
+
+    public void testBatchExecute_randomBatches() {
+        int batchSize = randomIntBetween(2, 32);
+        int docCount = randomIntBetween(2, 32);
+        DummyProcessor processor = new DummyProcessor(batchSize);
+        List<IngestDocumentWrapper> wrapperList = new ArrayList<>();
+        for (int i = 0; i < docCount; ++i) {
+            wrapperList.add(IngestDocumentPreparer.createIngestDocumentWrapper(i));
+        }
+        List<IngestDocumentWrapper> resultList = new ArrayList<>();
+        processor.batchExecute(wrapperList, resultList::addAll);
+        assertEquals(wrapperList, resultList);
+        assertEquals(docCount / batchSize + (docCount % batchSize == 0 ? 0 : 1), processor.getSubBatches().size());
+    }
+
+    public void testBatchExecute_defaultBatchSize() {
+        DummyProcessor processor = new DummyProcessor(1);
+        List<IngestDocumentWrapper> wrapperList = Arrays.asList(
+            IngestDocumentPreparer.createIngestDocumentWrapper(1),
+            IngestDocumentPreparer.createIngestDocumentWrapper(2),
+            IngestDocumentPreparer.createIngestDocumentWrapper(3)
+        );
+        List<IngestDocumentWrapper> resultList = new ArrayList<>();
+        processor.batchExecute(wrapperList, resultList::addAll);
+        assertEquals(wrapperList, resultList);
+        assertEquals(3, processor.getSubBatches().size());
+        assertEquals(wrapperList.subList(0, 1), processor.getSubBatches().get(0));
+        assertEquals(wrapperList.subList(1, 2), processor.getSubBatches().get(1));
+        assertEquals(wrapperList.subList(2, 3), processor.getSubBatches().get(2));
+    }
+
+    public void testFactory_invalidBatchSize() {
+        Map<String, Object> config = new HashMap<>();
+        config.put("batch_size", 0);
+        DummyProcessor.DummyProcessorFactory factory = new DummyProcessor.DummyProcessorFactory("DummyProcessor");
+        OpenSearchParseException exception = assertThrows(OpenSearchParseException.class, () -> factory.create(config));
+        assertEquals("[batch_size] batch size must be a positive integer", exception.getMessage());
+    }
+
+    public void testFactory_defaultBatchSize() throws Exception {
+        Map<String, Object> config = new HashMap<>();
+        DummyProcessor.DummyProcessorFactory factory = new DummyProcessor.DummyProcessorFactory("DummyProcessor");
+        DummyProcessor processor = (DummyProcessor) factory.create(config);
+        assertEquals(1, processor.batchSize);
+    }
+
+    public void testFactory_callNewProcessor() throws Exception {
+        Map<String, Object> config = new HashMap<>();
+        config.put("batch_size", 3);
+        DummyProcessor.DummyProcessorFactory factory = new DummyProcessor.DummyProcessorFactory("DummyProcessor");
+        DummyProcessor processor = (DummyProcessor) factory.create(config);
+        assertEquals(3, processor.batchSize);
+    }
+
+    static class DummyProcessor extends AbstractBatchingProcessor {
+        private List<List<IngestDocumentWrapper>> subBatches = new ArrayList<>();
+
+        public List<List<IngestDocumentWrapper>> getSubBatches() {
+            return subBatches;
+        }
+
+        protected DummyProcessor(int batchSize) {
+            super("tag", "description", batchSize);
+        }
+
+        @Override
+        public void subBatchExecute(List<IngestDocumentWrapper> ingestDocumentWrappers, Consumer<List<IngestDocumentWrapper>> handler) {
+            subBatches.add(ingestDocumentWrappers);
+            handler.accept(ingestDocumentWrappers);
+        }
+
+        @Override
+        public IngestDocument execute(IngestDocument ingestDocument) throws Exception {
+            return ingestDocument;
+        }
+
+        @Override
+        public String getType() {
+            return null;
+        }
+
+        public static class DummyProcessorFactory extends Factory {
+
+            protected DummyProcessorFactory(String processorType) {
+                super(processorType);
+            }
+
+            public AbstractBatchingProcessor create(Map<String, Object> config) throws Exception {
+                final Map<String, org.opensearch.ingest.Processor.Factory> processorFactories = new HashMap<>();
+                return super.create(processorFactories, "tag", "description", config);
+            }
+
+            @Override
+            protected AbstractBatchingProcessor newProcessor(String tag, String description, int batchSize, Map<String, Object> config) {
+                return new DummyProcessor(batchSize);
+            }
+        }
+    }
+}