Index: kafka-handler/README.md
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- kafka-handler/README.md (revision 1327d47a5d325179420cc2de15f7535bc9d10040)
+++ kafka-handler/README.md (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
@@ -25,6 +25,10 @@
```sql
ALTER TABLE kafka_table SET TBLPROPERTIES ("kafka.serde.class"="org.apache.hadoop.hive.serde2.avro.AvroSerDe");
```
+
+If you use Confluent Avro serialzier/deserializer with schema registry you may want to remove 5 bytes from beginning that represents magic byte + schema ID from registry.
+It can be done by setting `"avro.serde.type"="confluent"` or `"avro.serde.type"="skip"` with `"avro.serde.skip.bytes"="5"`. It's recommended to set an avro schema via `"avro.schema.url"="http://hostname/SimpleDocument.avsc"` or `"avro.schema.literal"="{"type" : "record","name" : "SimpleRecord","..."}`. If both properties are set then `avro.schema.literal` has higher priority.
+
List of supported Serializer Deserializer:
|Supported Serializer Deserializer|
Index: kafka-handler/pom.xml
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- kafka-handler/pom.xml (revision 1327d47a5d325179420cc2de15f7535bc9d10040)
+++ kafka-handler/pom.xml (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
@@ -114,8 +114,21 @@
1.7.25
test
+
+ io.confluent
+ kafka-streams-avro-serde
+ 5.1.0
+ test
+
+
+
+ confluent
+ http://packages.confluent.io/maven/
+
+
+
dev-fast-build
@@ -168,6 +181,10 @@
${basedir}/src/java
${basedir}/src/test
+
+ org.apache.avro
+ avro-maven-plugin
+
org.apache.maven.plugins
maven-jar-plugin
@@ -180,5 +197,27 @@
+
+
+
+ org.apache.avro
+ avro-maven-plugin
+ 1.8.1
+
+
+ generate-sources
+
+ schema
+
+
+
+
+ ${project.basedir}/src/resources/
+ true
+ String
+
+
+
+
\ No newline at end of file
Index: kafka-handler/src/java/org/apache/hadoop/hive/kafka/KafkaSerDe.java
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- kafka-handler/src/java/org/apache/hadoop/hive/kafka/KafkaSerDe.java (revision 1327d47a5d325179420cc2de15f7535bc9d10040)
+++ kafka-handler/src/java/org/apache/hadoop/hive/kafka/KafkaSerDe.java (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
@@ -25,6 +25,7 @@
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.io.BinaryEncoder;
import org.apache.avro.io.DatumReader;
+import org.apache.avro.io.Decoder;
import org.apache.avro.io.DecoderFactory;
import org.apache.avro.io.EncoderFactory;
import org.apache.avro.specific.SpecificDatumReader;
@@ -133,12 +134,24 @@
Preconditions.checkArgument(!schemaFromProperty.isEmpty(), "Avro Schema is empty Can not go further");
Schema schema = AvroSerdeUtils.getSchemaFor(schemaFromProperty);
LOG.debug("Building Avro Reader with schema {}", schemaFromProperty);
- bytesConverter = new AvroBytesConverter(schema);
+ bytesConverter = getByteConverterForAvroDelegate(schema, tbl);
} else {
bytesConverter = new BytesWritableConverter();
}
}
+ BytesConverter getByteConverterForAvroDelegate(Schema schema, Properties tbl) {
+ String avroByteConverterType = tbl.getProperty(AvroSerdeUtils.AvroTableProperties.AVRO_SERDE_TYPE
+ .getPropName(), "none");
+ int avroSkipBytes = Integer.getInteger(tbl.getProperty(AvroSerdeUtils.AvroTableProperties.AVRO_SERDE_SKIP_BYTES
+ .getPropName(), "5"));
+ switch ( avroByteConverterType ) {
+ case "confluent" : return new AvroSkipBytesConverter(schema, 5);
+ case "skip" : return new AvroSkipBytesConverter(schema, avroSkipBytes);
+ default : return new AvroBytesConverter(schema);
+ }
+ }
+
@Override public Class extends Writable> getSerializedClass() {
return delegateSerDe.getSerializedClass();
}
@@ -327,7 +340,7 @@
K getWritable(byte[] value);
}
- private static class AvroBytesConverter implements BytesConverter {
+ static class AvroBytesConverter implements BytesConverter {
private final Schema schema;
private final DatumReader dataReader;
private final GenericDatumWriter gdw = new GenericDatumWriter<>();
@@ -336,7 +349,7 @@
AvroBytesConverter(Schema schema) {
this.schema = schema;
- dataReader = new SpecificDatumReader<>(this.schema);
+ this.dataReader = new SpecificDatumReader<>(this.schema);
}
@Override public byte[] getBytes(AvroGenericRecordWritable writable) {
@@ -354,10 +367,14 @@
return valueBytes;
}
+ Decoder getDecoder(byte[] value) {
+ return DecoderFactory.get().binaryDecoder(value, null);
+ }
+
@Override public AvroGenericRecordWritable getWritable(byte[] value) {
GenericRecord avroRecord = null;
try {
- avroRecord = dataReader.read(null, DecoderFactory.get().binaryDecoder(value, null));
+ avroRecord = dataReader.read(null, getDecoder(value));
} catch (IOException e) {
Throwables.propagate(new SerDeException(e));
}
@@ -369,6 +386,26 @@
}
}
+ /**
+ * The converter reads bytes from kafka message and skip first @skipBytes from beginning.
+ *
+ * For example:
+ * Confluent kafka producer add 5 magic bytes that represents Schema ID as Integer to the message.
+ */
+ static class AvroSkipBytesConverter extends AvroBytesConverter {
+ private final int skipBytes;
+
+ AvroSkipBytesConverter(Schema schema, int skipBytes) {
+ super(schema);
+ this.skipBytes = skipBytes;
+ }
+
+ @Override
+ Decoder getDecoder(byte[] value) {
+ return DecoderFactory.get().binaryDecoder(value, this.skipBytes, value.length - this.skipBytes, null);
+ }
+ }
+
private static class BytesWritableConverter implements BytesConverter {
@Override public byte[] getBytes(BytesWritable writable) {
return writable.getBytes();
Index: kafka-handler/src/resources/SimpleRecord.avsc
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- kafka-handler/src/resources/SimpleRecord.avsc (revision 1d25507e3f7f74425cf80343909382d120eadc85)
+++ kafka-handler/src/resources/SimpleRecord.avsc (revision 1d25507e3f7f74425cf80343909382d120eadc85)
@@ -0,0 +1,13 @@
+{
+ "type" : "record",
+ "name" : "SimpleRecord",
+ "namespace" : "org.apache.hadoop.hive.kafka",
+ "fields" : [ {
+ "name" : "id",
+ "type" : "string"
+ }, {
+ "name" : "name",
+ "type" : "string"
+ }
+ ]
+}
Index: kafka-handler/src/test/org/apache/hadoop/hive/kafka/AvroBytesConverterTest.java
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- kafka-handler/src/test/org/apache/hadoop/hive/kafka/AvroBytesConverterTest.java (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
+++ kafka-handler/src/test/org/apache/hadoop/hive/kafka/AvroBytesConverterTest.java (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
@@ -0,0 +1,70 @@
+package org.apache.hadoop.hive.kafka;
+
+import com.google.common.collect.Maps;
+import io.confluent.kafka.schemaregistry.client.MockSchemaRegistryClient;
+import io.confluent.kafka.serializers.KafkaAvroSerializer;
+import org.apache.avro.Schema;
+import org.apache.hadoop.hive.serde2.avro.AvroGenericRecordWritable;
+import org.junit.Assert;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+import java.util.Map;
+
+/**
+ * Test class for Hive Kafka Avro bytes converter.
+ */
+public class AvroBytesConverterTest {
+
+ private static SimpleRecord simpleRecord1 = SimpleRecord.newBuilder().setId("123").setName("test").build();
+ private static byte[] simpleRecord1AsBytes;
+
+ /**
+ * Emulate confluent avro producer that add 4 magic bits (int) before value bytes. The int represents the schema ID from schema registry.
+ */
+ @BeforeClass
+ public static void setUp() {
+ Map config = Maps.newHashMap();
+ config.put("schema.registry.url","http://localhost");
+ KafkaAvroSerializer avroSerializer = new KafkaAvroSerializer(new MockSchemaRegistryClient());
+ avroSerializer.configure(config, false);
+ simpleRecord1AsBytes = avroSerializer.serialize("temp", simpleRecord1);
+ }
+
+ /**
+ * Emulate - avro.serde.type = none (Default)
+ */
+ @Test
+ public void convertWithAvroBytesConverter() {
+ Schema schema = SimpleRecord.getClassSchema();
+ KafkaSerDe.AvroBytesConverter conv = new KafkaSerDe.AvroBytesConverter(schema);
+ AvroGenericRecordWritable simpleRecord1Writable = conv.getWritable(simpleRecord1AsBytes);
+
+ Assert.assertNotNull(simpleRecord1Writable);
+ Assert.assertEquals(SimpleRecord.class,simpleRecord1Writable.getRecord().getClass());
+
+ SimpleRecord simpleRecord1Deserialized = (SimpleRecord) simpleRecord1Writable.getRecord();
+
+ Assert.assertNotNull(simpleRecord1Deserialized);
+ Assert.assertNotEquals(simpleRecord1, simpleRecord1Deserialized);
+ }
+
+
+ /**
+ * Emulate - avro.serde.type = confluent
+ */
+ @Test
+ public void convertWithConfluentAvroBytesConverter() {
+ Schema schema = SimpleRecord.getClassSchema();
+ KafkaSerDe.AvroSkipBytesConverter conv = new KafkaSerDe.AvroSkipBytesConverter(schema, 5);
+ AvroGenericRecordWritable simpleRecord1Writable = conv.getWritable(simpleRecord1AsBytes);
+
+ Assert.assertNotNull(simpleRecord1Writable);
+ Assert.assertEquals(SimpleRecord.class,simpleRecord1Writable.getRecord().getClass());
+
+ SimpleRecord simpleRecord1Deserialized = (SimpleRecord) simpleRecord1Writable.getRecord();
+
+ Assert.assertNotNull(simpleRecord1Deserialized);
+ Assert.assertEquals(simpleRecord1, simpleRecord1Deserialized);
+ }
+}
Index: serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java (revision 1327d47a5d325179420cc2de15f7535bc9d10040)
+++ serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java (revision ea94e4f9e4291e8b5cd6294c609d13db82cb46f8)
@@ -68,6 +68,8 @@
SCHEMA_NAME("avro.schema.name"),
SCHEMA_DOC("avro.schema.doc"),
AVRO_SERDE_SCHEMA("avro.serde.schema"),
+ AVRO_SERDE_TYPE("avro.serde.type"),
+ AVRO_SERDE_SKIP_BYTES("avro.serde.skip.bytes"),
SCHEMA_RETRIEVER("avro.schema.retriever");
private final String propName;