fix(kafka): Add support for confluent message indices.

examples/powertools-examples-kafka/events/kafka-protobuf-event.json

@@ -25,7 +25,7 @@
         "timestamp": 1545084650988,
         "timestampType": "CREATE_TIME",
         "key": "NDI=",
-        "value": "COoHEgpTbWFydHBob25lGVK4HoXrv4JA",
+        "value": "AAjpBxIGTGFwdG9wGVK4HoXrP49A",
         "headers": [
           {
             "headerKey": [104, 101, 97, 100, 101, 114, 86, 97, 108, 117, 101]
@@ -39,7 +39,7 @@
         "timestamp": 1545084650989,
         "timestampType": "CREATE_TIME",
         "key": null,
-        "value": "COsHEgpIZWFkcGhvbmVzGUjhehSuv2JA",
+        "value": "AgEACOkHEgZMYXB0b3AZUrgehes/j0A=",
         "headers": [
           {
             "headerKey": [104, 101, 97, 100, 101, 114, 86, 97, 108, 117, 101]

examples/powertools-examples-kafka/tools/README.md

@@ -45,7 +45,7 @@ The tool will output base64-encoded values for Avro products that can be used in
 mvn exec:java -Dexec.mainClass="org.demo.kafka.tools.GenerateProtobufSamples"
 ```
 
-The tool will output base64-encoded values for Protobuf products that can be used in `../events/kafka-protobuf-event.json`.
+The tool will output base64-encoded values for Protobuf products that can be used in `../events/kafka-protobuf-event.json`. This generator creates samples with and without Confluent message-indexes to test different serialization scenarios.
 
 ## Output
 
@@ -55,6 +55,13 @@ Each generator produces:
 2. An integer key (42) and one entry with a nullish key to test for edge-cases
 3. A complete sample event structure that can be used directly for testing
 
+The Protobuf generators additionally create samples with different Confluent message-index formats:
+- Standard protobuf (no message indexes)
+- Simple message index (single 0 byte)
+- Complex message index (length-prefixed array)
+
+For more information about Confluent Schema Registry serialization formats and wire format specifications, see the [Confluent documentation](https://docs.confluent.io/platform/current/schema-registry/fundamentals/serdes-develop/index.html#wire-format).
+
 ## Example
 
 After generating the samples, you can copy the output into the respective event files:

examples/powertools-examples-kafka/tools/src/main/java/org/demo/kafka/tools/GenerateAvroSamples.java

@@ -14,62 +14,68 @@
  * Utility class to generate base64-encoded Avro serialized products
  * for use in test events.
  */
-public class GenerateAvroSamples {
+public final class GenerateAvroSamples {
+
+    private GenerateAvroSamples() {
+        // Utility class
+    }
 
     public static void main(String[] args) throws IOException {
         // Create three different products
         AvroProduct product1 = new AvroProduct(1001, "Laptop", 999.99);
         AvroProduct product2 = new AvroProduct(1002, "Smartphone", 599.99);
         AvroProduct product3 = new AvroProduct(1003, "Headphones", 149.99);
-        
+
         // Serialize and encode each product
         String encodedProduct1 = serializeAndEncode(product1);
         String encodedProduct2 = serializeAndEncode(product2);
         String encodedProduct3 = serializeAndEncode(product3);
-        
+
         // Serialize and encode an integer key
         String encodedKey = serializeAndEncodeInteger(42);
-        
+
         // Print the results
         System.out.println("Base64 encoded Avro products for use in kafka-avro-event.json:");
         System.out.println("\nProduct 1 (with key):");
         System.out.println("key: \"" + encodedKey + "\",");
         System.out.println("value: \"" + encodedProduct1 + "\",");
-        
+
         System.out.println("\nProduct 2 (with key):");
         System.out.println("key: \"" + encodedKey + "\",");
         System.out.println("value: \"" + encodedProduct2 + "\",");
-        
+
         System.out.println("\nProduct 3 (without key):");
         System.out.println("key: null,");
         System.out.println("value: \"" + encodedProduct3 + "\",");
-        
+
         // Print a sample event structure
         System.out.println("\nSample event structure:");
         printSampleEvent(encodedKey, encodedProduct1, encodedProduct2, encodedProduct3);
     }
-    
+
     private static String serializeAndEncode(AvroProduct product) throws IOException {
         ByteArrayOutputStream baos = new ByteArrayOutputStream();
         BinaryEncoder encoder = EncoderFactory.get().binaryEncoder(baos, null);
         DatumWriter<AvroProduct> writer = new SpecificDatumWriter<>(AvroProduct.class);
-        
+
         writer.write(product, encoder);
         encoder.flush();
-        
+
         return Base64.getEncoder().encodeToString(baos.toByteArray());
     }
-    
+
     private static String serializeAndEncodeInteger(Integer value) throws IOException {
         // For simple types like integers, we'll just convert to string and encode
         return Base64.getEncoder().encodeToString(value.toString().getBytes());
     }
-    
+
     private static void printSampleEvent(String key, String product1, String product2, String product3) {
         System.out.println("{\n" +
                 "  \"eventSource\": \"aws:kafka\",\n" +
-                "  \"eventSourceArn\": \"arn:aws:kafka:us-east-1:0123456789019:cluster/SalesCluster/abcd1234-abcd-cafe-abab-9876543210ab-4\",\n" +
-                "  \"bootstrapServers\": \"b-2.demo-cluster-1.a1bcde.c1.kafka.us-east-1.amazonaws.com:9092,b-1.demo-cluster-1.a1bcde.c1.kafka.us-east-1.amazonaws.com:9092\",\n" +
+                "  \"eventSourceArn\": \"arn:aws:kafka:us-east-1:0123456789019:cluster/SalesCluster/abcd1234-abcd-cafe-abab-9876543210ab-4\",\n"
+                +
+                "  \"bootstrapServers\": \"b-2.demo-cluster-1.a1bcde.c1.kafka.us-east-1.amazonaws.com:9092,b-1.demo-cluster-1.a1bcde.c1.kafka.us-east-1.amazonaws.com:9092\",\n"
+                +
                 "  \"records\": {\n" +
                 "    \"mytopic-0\": [\n" +
                 "      {\n" +

examples/powertools-examples-kafka/tools/src/main/java/org/demo/kafka/tools/GenerateJsonSamples.java

@@ -11,7 +11,11 @@
  * Utility class to generate base64-encoded JSON serialized products
  * for use in test events.
  */
-public class GenerateJsonSamples {
+public final class GenerateJsonSamples {
+
+    private GenerateJsonSamples() {
+        // Utility class
+    }
 
     public static void main(String[] args) throws IOException {
         // Create three different products

examples/powertools-examples-kafka/tools/src/main/java/org/demo/kafka/tools/GenerateProtobufSamples.java

@@ -1,73 +1,110 @@
 package org.demo.kafka.tools;
 
+import java.io.ByteArrayOutputStream;
 import java.io.IOException;
 import java.util.Base64;
 
 import org.demo.kafka.protobuf.ProtobufProduct;
 
+import com.google.protobuf.CodedOutputStream;
+
 /**
  * Utility class to generate base64-encoded Protobuf serialized products
  * for use in test events.
  */
-public class GenerateProtobufSamples {
+public final class GenerateProtobufSamples {
+
+    private GenerateProtobufSamples() {
+        // Utility class
+    }
 
     public static void main(String[] args) throws IOException {
-        // Create three different products
-        ProtobufProduct product1 = ProtobufProduct.newBuilder()
+        // Create a single product that will be used for all three scenarios
+        ProtobufProduct product = ProtobufProduct.newBuilder()
                 .setId(1001)
                 .setName("Laptop")
                 .setPrice(999.99)
                 .build();
 
-        ProtobufProduct product2 = ProtobufProduct.newBuilder()
-                .setId(1002)
-                .setName("Smartphone")
-                .setPrice(599.99)
-                .build();
-
-        ProtobufProduct product3 = ProtobufProduct.newBuilder()
-                .setId(1003)
-                .setName("Headphones")
-                .setPrice(149.99)
-                .build();
-
-        // Serialize and encode each product
-        String encodedProduct1 = serializeAndEncode(product1);
-        String encodedProduct2 = serializeAndEncode(product2);
-        String encodedProduct3 = serializeAndEncode(product3);
+        // Create three different serializations of the same product
+        String standardProduct = serializeAndEncode(product);
+        String productWithSimpleIndex = serializeWithSimpleMessageIndex(product);
+        String productWithComplexIndex = serializeWithComplexMessageIndex(product);
 
-        // Serialize and encode an integer key
+        // Serialize and encode an integer key (same for all records)
         String encodedKey = serializeAndEncodeInteger(42);
 
         // Print the results
-        System.out.println("Base64 encoded Protobuf products for use in kafka-protobuf-event.json:");
-        System.out.println("\nProduct 1 (with key):");
-        System.out.println("key: \"" + encodedKey + "\",");
-        System.out.println("value: \"" + encodedProduct1 + "\",");
-
-        System.out.println("\nProduct 2 (with key):");
-        System.out.println("key: \"" + encodedKey + "\",");
-        System.out.println("value: \"" + encodedProduct2 + "\",");
-
-        System.out.println("\nProduct 3 (without key):");
-        System.out.println("key: null,");
-        System.out.println("value: \"" + encodedProduct3 + "\",");
-
-        // Print a sample event structure
-        System.out.println("\nSample event structure:");
-        printSampleEvent(encodedKey, encodedProduct1, encodedProduct2, encodedProduct3);
+        System.out.println("Base64 encoded Protobuf products with different message index scenarios:");
+        System.out.println("\n1. Standard Protobuf (no message index):");
+        System.out.println("value: \"" + standardProduct + "\"");
+
+        System.out.println("\n2. Simple Message Index (single 0):");
+        System.out.println("value: \"" + productWithSimpleIndex + "\"");
+
+        System.out.println("\n3. Complex Message Index (array [1,0]):");
+        System.out.println("value: \"" + productWithComplexIndex + "\"");
+
+        // Print the merged event structure
+        System.out.println("\n" + "=".repeat(80));
+        System.out.println("MERGED EVENT WITH ALL THREE SCENARIOS");
+        System.out.println("=".repeat(80));
+        printSampleEvent(encodedKey, standardProduct, productWithSimpleIndex, productWithComplexIndex);
     }
 
     private static String serializeAndEncode(ProtobufProduct product) {
         return Base64.getEncoder().encodeToString(product.toByteArray());
     }
 
+    /**
+     * Serializes a protobuf product with a simple Confluent message index (single 0).
+     * Format: [0][protobuf_data]
+     * 
+     * @see {@link https://docs.confluent.io/platform/current/schema-registry/fundamentals/serdes-develop/index.html#wire-format}
+     */
+    private static String serializeWithSimpleMessageIndex(ProtobufProduct product) throws IOException {
+        ByteArrayOutputStream baos = new ByteArrayOutputStream();
+        CodedOutputStream codedOutput = CodedOutputStream.newInstance(baos);
+
+        // Write simple message index (single 0)
+        codedOutput.writeUInt32NoTag(0);
+
+        // Write the protobuf data
+        product.writeTo(codedOutput);
+
+        codedOutput.flush();
+        return Base64.getEncoder().encodeToString(baos.toByteArray());
+    }
+
+    /**
+     * Serializes a protobuf product with a complex Confluent message index (array [1,0]).
+     * Format: [2][1][0][protobuf_data] where 2 is the array length
+     * 
+     * @see {@link https://docs.confluent.io/platform/current/schema-registry/fundamentals/serdes-develop/index.html#wire-format}
+     */
+    private static String serializeWithComplexMessageIndex(ProtobufProduct product) throws IOException {
+        ByteArrayOutputStream baos = new ByteArrayOutputStream();
+        CodedOutputStream codedOutput = CodedOutputStream.newInstance(baos);
+
+        // Write complex message index array [1,0]
+        codedOutput.writeUInt32NoTag(2); // Array length
+        codedOutput.writeUInt32NoTag(1); // First index value
+        codedOutput.writeUInt32NoTag(0); // Second index value
+
+        // Write the protobuf data
+        product.writeTo(codedOutput);
+
+        codedOutput.flush();
+        return Base64.getEncoder().encodeToString(baos.toByteArray());
+    }
+
     private static String serializeAndEncodeInteger(Integer value) {
         // For simple types like integers, we'll just convert to string and encode
         return Base64.getEncoder().encodeToString(value.toString().getBytes());
     }
 
-    private static void printSampleEvent(String key, String product1, String product2, String product3) {
+    private static void printSampleEvent(String key, String standardProduct, String simpleIndexProduct,
+            String complexIndexProduct) {
         System.out.println("{\n" +
                 "  \"eventSource\": \"aws:kafka\",\n" +
                 "  \"eventSourceArn\": \"arn:aws:kafka:us-east-1:0123456789019:cluster/SalesCluster/abcd1234-abcd-cafe-abab-9876543210ab-4\",\n"
@@ -83,7 +120,7 @@ private static void printSampleEvent(String key, String product1, String product
                 "        \"timestamp\": 1545084650987,\n" +
                 "        \"timestampType\": \"CREATE_TIME\",\n" +
                 "        \"key\": \"" + key + "\",\n" +
-                "        \"value\": \"" + product1 + "\",\n" +
+                "        \"value\": \"" + standardProduct + "\",\n" +
                 "        \"headers\": [\n" +
                 "          {\n" +
                 "            \"headerKey\": [104, 101, 97, 100, 101, 114, 86, 97, 108, 117, 101]\n" +
@@ -97,7 +134,7 @@ private static void printSampleEvent(String key, String product1, String product
                 "        \"timestamp\": 1545084650988,\n" +
                 "        \"timestampType\": \"CREATE_TIME\",\n" +
                 "        \"key\": \"" + key + "\",\n" +
-                "        \"value\": \"" + product2 + "\",\n" +
+                "        \"value\": \"" + simpleIndexProduct + "\",\n" +
                 "        \"headers\": [\n" +
                 "          {\n" +
                 "            \"headerKey\": [104, 101, 97, 100, 101, 114, 86, 97, 108, 117, 101]\n" +
@@ -111,7 +148,7 @@ private static void printSampleEvent(String key, String product1, String product
                 "        \"timestamp\": 1545084650989,\n" +
                 "        \"timestampType\": \"CREATE_TIME\",\n" +
                 "        \"key\": null,\n" +
-                "        \"value\": \"" + product3 + "\",\n" +
+                "        \"value\": \"" + complexIndexProduct + "\",\n" +
                 "        \"headers\": [\n" +
                 "          {\n" +
                 "            \"headerKey\": [104, 101, 97, 100, 101, 114, 86, 97, 108, 117, 101]\n" +

powertools-kafka/src/main/java/software/amazon/lambda/powertools/kafka/serializers/KafkaProtobufDeserializer.java

@@ -13,14 +13,27 @@
 package software.amazon.lambda.powertools.kafka.serializers;
 
 import java.io.IOException;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.google.protobuf.CodedInputStream;
 import com.google.protobuf.Message;
 import com.google.protobuf.Parser;
 
 /**
  * Deserializer for Kafka records using Protocol Buffers format.
+ * Supports both standard protobuf serialization and Confluent Schema Registry serialization using messages indices.
+ * 
+ * For Confluent-serialized data, assumes the magic byte and schema ID have already been stripped
+ * by the Kafka ESM, leaving only the message index (if present) and protobuf data.
+ * 
+ * @see {@link https://docs.confluent.io/platform/current/schema-registry/fundamentals/serdes-develop/index.html#wire-format}
  */
 public class KafkaProtobufDeserializer extends AbstractKafkaDeserializer {
 
+    private static final Logger LOGGER = LoggerFactory.getLogger(KafkaProtobufDeserializer.class);
+
     @Override
     @SuppressWarnings("unchecked")
     protected <T> T deserializeObject(byte[] data, Class<T> type) throws IOException {
@@ -29,7 +42,9 @@ protected <T> T deserializeObject(byte[] data, Class<T> type) throws IOException
             try {
                 // Get the parser from the generated Protobuf class
                 Parser<Message> parser = (Parser<Message>) type.getMethod("parser").invoke(null);
-                Message message = parser.parseFrom(data);
+
+                // Try to deserialize the data, handling potential Confluent message indices
+                Message message = deserializeWithMessageIndexHandling(data, parser);
                 return type.cast(message);
             } catch (Exception e) {
                 throw new IOException("Failed to deserialize Protobuf data.", e);
@@ -40,4 +55,45 @@ protected <T> T deserializeObject(byte[] data, Class<T> type) throws IOException
                     + "Consider using an alternative Deserializer.");
         }
     }
+
+    private Message deserializeWithMessageIndexHandling(byte[] data, Parser<Message> parser) throws IOException {
+        try {
+            LOGGER.debug("Attempting to deserialize as standard protobuf data");
+            return parser.parseFrom(data);
+        } catch (Exception e) {
+            LOGGER.debug("Standard protobuf parsing failed, attempting Confluent message-index handling");
+            return deserializeWithMessageIndex(data, parser);
+        }
+    }
+
+    private Message deserializeWithMessageIndex(byte[] data, Parser<Message> parser) throws IOException {
+        CodedInputStream codedInputStream = CodedInputStream.newInstance(data);
+
+        try {
+            // https://docs.confluent.io/platform/current/schema-registry/fundamentals/serdes-develop/index.html#wire-format
+            // Read the first varint - this could be:
+            // 1. A single 0 (simple case - first message type)
+            // 2. The length of the message index array (complex case)
+            int firstValue = codedInputStream.readUInt32();
+
+            if (firstValue == 0) {
+                // Simple case: Single 0 byte means first message type
+                LOGGER.debug("Found simple message-index case (single 0), parsing remaining data as protobuf");
+                return parser.parseFrom(codedInputStream);
+            } else {
+                // Complex case: firstValue is the length of the message index array
+                LOGGER.debug("Found complex message-index case with array length: {}, skipping {} message index values",
+                        firstValue, firstValue);
+                for (int i = 0; i < firstValue; i++) {
+                    codedInputStream.readUInt32(); // Skip each message index value
+                }
+                // Now the remaining data should be the actual protobuf message
+                LOGGER.debug("Finished skipping message indexes, parsing remaining data as protobuf");
+                return parser.parseFrom(codedInputStream);
+            }
+
+        } catch (Exception e) {
+            throw new IOException("Failed to parse protobuf data with or without message index", e);
+        }
+    }
 }