rzepinskip commented on code in PR #11857:
URL: https://github.com/apache/nifi/pull/11857#discussion_r4413063503


##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-service-api/src/main/java/org/apache/nifi/kafka/service/api/record/ByteRecord.java:
##########
@@ -23,7 +23,8 @@
 import java.util.Optional;
 
 /**
- * Byte Record translation of Kafka Record with byte arrays for key and value 
properties
+ * Byte Record translation of Kafka Record with byte arrays for key and value 
properties.
+ * Kafka tombstone is represented by {@code tombstone == true} and an empty 
{@code value} array.

Review Comment:
   Makes sense, will keep empty byte array an implementation detail.



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/java/org/apache/nifi/kafka/processors/consumer/convert/AbstractRecordStreamKafkaMessageConverter.java:
##########
@@ -87,6 +87,12 @@ protected AbstractRecordStreamKafkaMessageConverter(
     public void toFlowFiles(final ProcessSession session, final 
Iterator<ByteRecord> consumerRecords) {
         while (consumerRecords.hasNext()) {
             final ByteRecord consumerRecord = consumerRecords.next();
+            if (consumerRecord.isTombstone()) {
+                session.adjustCounter("Records Received from " + 
consumerRecord.getTopic(), 1, false);

Review Comment:
   Added the counter.



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/test/java/org/apache/nifi/kafka/processors/ConsumeKafkaTest.java:
##########
@@ -365,6 +372,80 @@ public void 
testOnTriggerDemarcatorRecordsOriginalKafkaBytes() throws Initializa
         runner.assertTransferCount(ConsumeKafka.SUCCESS, 1);
     }
 
+    @Test
+    public void testVerifySkipsTombstoneAndParsesFollowingRecord() throws 
Exception {

Review Comment:
   Done



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/resources/docs/org.apache.nifi.kafka.processors.ConsumeKafka/additionalDetails.md:
##########
@@ -23,6 +23,8 @@ This processor offers multiple output strategies (configured 
via processor prope
 - 'Use Wrapper' emits FlowFile records containing the Kafka record key, value, 
and headers, as well as additional metadata from the Kafka record.
 - 'Inject Metadata' emits FlowFile records containing the Kafka record value 
into which a sub record field has been added to hold metadata, headers and key 
information.
 
+When Processing Strategy is RECORD, a Kafka tombstone (null value) is not 
written for any Output Strategy. It is skipped and offset is committed.

Review Comment:
   Moved and described in more detail.



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-3-integration/src/test/java/org/apache/nifi/kafka/processors/ConsumeKafkaRecordTombstoneIT.java:
##########
@@ -0,0 +1,422 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.nifi.kafka.processors;
+
+import com.fasterxml.jackson.databind.node.ArrayNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileWriter;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericDatumWriter;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.nifi.avro.AvroReader;
+import org.apache.nifi.kafka.processors.consumer.ProcessingStrategy;
+import org.apache.nifi.kafka.processors.producer.wrapper.InjectMetadataRecord;
+import org.apache.nifi.kafka.processors.producer.wrapper.WrapperRecord;
+import org.apache.nifi.kafka.service.api.consumer.AutoOffsetReset;
+import org.apache.nifi.kafka.shared.attribute.KafkaFlowFileAttribute;
+import org.apache.nifi.kafka.shared.property.OutputStrategy;
+import org.apache.nifi.reporting.InitializationException;
+import org.apache.nifi.schema.access.SchemaAccessUtils;
+import org.apache.nifi.util.MockFlowFile;
+import org.apache.nifi.util.TestRunner;
+import org.apache.nifi.util.TestRunners;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.time.Duration;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertInstanceOf;
+
+/**
+ * RECORD output for a batch that contains a non-null empty value, a null 
tombstone, and a real value.
+ * A null tombstone is omitted from success and parse.failure. A JSON reader 
emits only the real value.
+ * An Avro reader routes the non-null empty value to parse.failure and writes 
the real value to success.
+ */
+class ConsumeKafkaRecordTombstoneIT extends AbstractConsumeKafkaIT {
+
+    private static final String NON_EMPTY_VALUE = "{\"id\":1,\"name\":\"A\"}";
+
+    private static final byte[] NON_EMPTY_BYTES = 
NON_EMPTY_VALUE.getBytes(StandardCharsets.UTF_8);
+
+    private static final byte[] EMPTY_BYTES = new byte[0];
+
+    private static final String AVRO_SCHEMA = """
+            {
+              "type": "record",
+              "name": "message",
+              "fields": [
+                {"name": "id", "type": "int"},
+                {"name": "name", "type": "string"}
+              ]
+            }
+            """;
+
+    private static final String MESSAGE_KEY = "key";
+
+    private static final int FIRST_PARTITION = 0;
+
+    private static final Duration POLL_TIMEOUT = Duration.ofSeconds(30);
+
+    private TestRunner runner;
+
+    @BeforeEach
+    void setRunner() throws InitializationException {
+        runner = TestRunners.newTestRunner(ConsumeKafka.class);
+        addKafkaConnectionService(runner);
+        runner.setProperty(ConsumeKafka.CONNECTION_SERVICE, 
CONNECTION_SERVICE_ID);
+        addRecordReaderService(runner);
+        addRecordWriterService(runner);
+    }
+
+    @Test
+    void testOutputStrategyUseValue() throws ExecutionException, 
InterruptedException, IOException {

Review Comment:
   Moved as much as possible to helper methods. Kept asserts inline for 
readability (to see differences between tests more easily) but trimmed them 
down to only necessary ones.



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-service-shared/src/main/java/org/apache/nifi/kafka/service/consumer/Kafka3ConsumerService.java:
##########
@@ -375,11 +375,10 @@ public ByteRecord next() {
                 recordHeaders.add(recordHeader);
             });
 
-            // Support Kafka tombstones
-            byte[] value = consumerRecord.value();
-            if (value == null) {
-                value = new byte[0];
-            }
+            // A null Kafka value is a tombstone. Keep that distinct from a 
non-null empty value.
+            final byte[] originalValue = consumerRecord.value();
+            final boolean isTombstone = originalValue == null;
+            final byte[] value = isTombstone ? new byte[0] : originalValue;

Review Comment:
   What do you mean? There is no further changes needed here: we detect whether 
Kafka record is tombstone then set ByteRecord's tombstone parameter 
accordingly. The value we pass to ByteRecord has to be non-null so for 
tombstone I am using empty byte array as previous code did. 



##########
nifi-extension-bundles/nifi-kafka-bundle/nifi-kafka-3-integration/src/test/java/org/apache/nifi/kafka/processors/ConsumeKafkaRecordTombstoneIT.java:
##########
@@ -0,0 +1,422 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.nifi.kafka.processors;
+
+import com.fasterxml.jackson.databind.node.ArrayNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileWriter;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericDatumWriter;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.nifi.avro.AvroReader;
+import org.apache.nifi.kafka.processors.consumer.ProcessingStrategy;
+import org.apache.nifi.kafka.processors.producer.wrapper.InjectMetadataRecord;
+import org.apache.nifi.kafka.processors.producer.wrapper.WrapperRecord;
+import org.apache.nifi.kafka.service.api.consumer.AutoOffsetReset;
+import org.apache.nifi.kafka.shared.attribute.KafkaFlowFileAttribute;
+import org.apache.nifi.kafka.shared.property.OutputStrategy;
+import org.apache.nifi.reporting.InitializationException;
+import org.apache.nifi.schema.access.SchemaAccessUtils;
+import org.apache.nifi.util.MockFlowFile;
+import org.apache.nifi.util.TestRunner;
+import org.apache.nifi.util.TestRunners;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.time.Duration;
+import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.ExecutionException;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertInstanceOf;
+
+/**
+ * RECORD output for a batch that contains a non-null empty value, a null 
tombstone, and a real value.
+ * A null tombstone is omitted from success and parse.failure. A JSON reader 
emits only the real value.
+ * An Avro reader routes the non-null empty value to parse.failure and writes 
the real value to success.
+ */
+class ConsumeKafkaRecordTombstoneIT extends AbstractConsumeKafkaIT {
+
+    private static final String NON_EMPTY_VALUE = "{\"id\":1,\"name\":\"A\"}";
+
+    private static final byte[] NON_EMPTY_BYTES = 
NON_EMPTY_VALUE.getBytes(StandardCharsets.UTF_8);
+
+    private static final byte[] EMPTY_BYTES = new byte[0];
+
+    private static final String AVRO_SCHEMA = """
+            {
+              "type": "record",
+              "name": "message",
+              "fields": [
+                {"name": "id", "type": "int"},
+                {"name": "name", "type": "string"}
+              ]
+            }
+            """;
+
+    private static final String MESSAGE_KEY = "key";
+
+    private static final int FIRST_PARTITION = 0;
+
+    private static final Duration POLL_TIMEOUT = Duration.ofSeconds(30);
+
+    private TestRunner runner;
+
+    @BeforeEach
+    void setRunner() throws InitializationException {
+        runner = TestRunners.newTestRunner(ConsumeKafka.class);
+        addKafkaConnectionService(runner);
+        runner.setProperty(ConsumeKafka.CONNECTION_SERVICE, 
CONNECTION_SERVICE_ID);
+        addRecordReaderService(runner);
+        addRecordWriterService(runner);
+    }
+
+    @Test
+    void testOutputStrategyUseValue() throws ExecutionException, 
InterruptedException, IOException {
+        final String topic = configureRecord(OutputStrategy.USE_VALUE);
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, NON_EMPTY_BYTES);
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        runner.assertTransferCount(ConsumeKafka.PARSE_FAILURE, 0);
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+    }
+
+    @Test
+    void testOutputStrategyUseWrapper() throws ExecutionException, 
InterruptedException, IOException {
+        final String topic = configureRecord(OutputStrategy.USE_WRAPPER);
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, NON_EMPTY_BYTES);
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        runner.assertTransferCount(ConsumeKafka.PARSE_FAILURE, 0);
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        final ObjectNode value = assertInstanceOf(ObjectNode.class, 
record.get(WrapperRecord.VALUE));
+        assertEquals(1, value.get("id").asInt());
+        assertEquals("A", value.get("name").asText());
+        final ObjectNode metadata = assertInstanceOf(ObjectNode.class, 
record.get(WrapperRecord.METADATA));
+        assertEquals(topic, metadata.get(WrapperRecord.TOPIC).asText());
+        assertEquals(2L, metadata.get(WrapperRecord.OFFSET).asLong());
+    }
+
+    @Test
+    void testOutputStrategyInjectMetadata() throws ExecutionException, 
InterruptedException, IOException {
+        final String topic = configureRecord(OutputStrategy.INJECT_METADATA);
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, NON_EMPTY_BYTES);
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        runner.assertTransferCount(ConsumeKafka.PARSE_FAILURE, 0);
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+        final ObjectNode metadata = assertInstanceOf(ObjectNode.class, 
record.get(InjectMetadataRecord.METADATA));
+        assertEquals(topic, metadata.get(InjectMetadataRecord.TOPIC).asText());
+        assertEquals(2L, metadata.get(InjectMetadataRecord.OFFSET).asLong());
+    }
+
+    @Test
+    void testOutputStrategyInjectOffset() throws ExecutionException, 
InterruptedException, IOException {
+        final String topic = configureRecord(OutputStrategy.INJECT_OFFSET);
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, NON_EMPTY_BYTES);
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        runner.assertTransferCount(ConsumeKafka.PARSE_FAILURE, 0);
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+        assertEquals(2L, record.get("kafkaOffset").asLong());
+    }
+
+    @Test
+    void testOutputStrategyUseValueWithAvroReader() throws ExecutionException, 
InterruptedException, IOException, InitializationException {
+        final String topic = configureRecord(OutputStrategy.USE_VALUE);
+        useAvroReader();
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, avroRecord());
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty()
+                && 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        final List<MockFlowFile> failures = 
runner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE);
+        assertEquals(1, failures.size());
+
+        final MockFlowFile emptyFailure = failures.getFirst();
+        emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        
emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, "0");
+        emptyFailure.assertContentEquals("");
+        
emptyFailure.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+    }
+
+    @Test
+    void testOutputStrategyUseWrapperWithAvroReader() throws 
ExecutionException, InterruptedException, IOException, InitializationException {
+        final String topic = configureRecord(OutputStrategy.USE_WRAPPER);
+        useAvroReader();
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, avroRecord());
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty()
+                && 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        final List<MockFlowFile> failures = 
runner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE);
+        assertEquals(1, failures.size());
+
+        final MockFlowFile emptyFailure = failures.getFirst();
+        emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        
emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, "0");
+        emptyFailure.assertContentEquals("");
+        
emptyFailure.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        final ObjectNode value = assertInstanceOf(ObjectNode.class, 
record.get(WrapperRecord.VALUE));
+        assertEquals(1, value.get("id").asInt());
+        assertEquals("A", value.get("name").asText());
+        final ObjectNode metadata = assertInstanceOf(ObjectNode.class, 
record.get(WrapperRecord.METADATA));
+        assertEquals(topic, metadata.get(WrapperRecord.TOPIC).asText());
+        assertEquals(2L, metadata.get(WrapperRecord.OFFSET).asLong());
+    }
+
+    @Test
+    void testOutputStrategyInjectMetadataWithAvroReader() throws 
ExecutionException, InterruptedException, IOException, InitializationException {
+        final String topic = configureRecord(OutputStrategy.INJECT_METADATA);
+        useAvroReader();
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, avroRecord());
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty()
+                && 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        final List<MockFlowFile> failures = 
runner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE);
+        assertEquals(1, failures.size());
+
+        final MockFlowFile emptyFailure = failures.getFirst();
+        emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        
emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, "0");
+        emptyFailure.assertContentEquals("");
+        
emptyFailure.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+        final ObjectNode metadata = assertInstanceOf(ObjectNode.class, 
record.get(InjectMetadataRecord.METADATA));
+        assertEquals(topic, metadata.get(InjectMetadataRecord.TOPIC).asText());
+        assertEquals(2L, metadata.get(InjectMetadataRecord.OFFSET).asLong());
+    }
+
+    @Test
+    void testOutputStrategyInjectOffsetWithAvroReader() throws 
ExecutionException, InterruptedException, IOException, InitializationException {
+        final String topic = configureRecord(OutputStrategy.INJECT_OFFSET);
+        useAvroReader();
+        runner.run(1, false, true);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, EMPTY_BYTES);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, null);
+        produceBytes(topic, FIRST_PARTITION, MESSAGE_KEY, avroRecord());
+
+        runUntil(runner, testRunner -> 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS).isEmpty()
+                && 
!testRunner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE).isEmpty(), 
POLL_TIMEOUT);
+        runner.run(1, true, false);
+
+        final List<MockFlowFile> failures = 
runner.getFlowFilesForRelationship(ConsumeKafka.PARSE_FAILURE);
+        assertEquals(1, failures.size());
+
+        final MockFlowFile emptyFailure = failures.getFirst();
+        emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        
emptyFailure.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, "0");
+        emptyFailure.assertContentEquals("");
+        
emptyFailure.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final List<MockFlowFile> flowFiles = 
runner.getFlowFilesForRelationship(ConsumeKafka.SUCCESS);
+        assertEquals(1, flowFiles.size());
+
+        final MockFlowFile flowFile = flowFiles.getFirst();
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_TOPIC, 
topic);
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_OFFSET, 
"2");
+        
flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_MAX_OFFSET, "2");
+        flowFile.assertAttributeEquals(KafkaFlowFileAttribute.KAFKA_COUNT, 
"1");
+        flowFile.assertAttributeEquals("record.count", "1");
+        
flowFile.assertAttributeNotExists(KafkaFlowFileAttribute.KAFKA_TOMBSTONE);
+
+        final ArrayNode records = assertInstanceOf(ArrayNode.class, 
objectMapper.readTree(flowFile.getContent()));
+        assertEquals(1, records.size());
+        final ObjectNode record = assertInstanceOf(ObjectNode.class, 
records.get(0));
+        assertEquals(1, record.get("id").asInt());
+        assertEquals("A", record.get("name").asText());
+        assertEquals(2L, record.get("kafkaOffset").asLong());
+    }
+
+    private String configureRecord(final OutputStrategy outputStrategy) {

Review Comment:
   Done



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