Fix uc4-beam

refactor + use Generalized KafkaReader and writer

theodolite-benchmarks/beam-commons/src/main/java/theodolite/commons/beam/AbstractPipeline.java

 package theodolite.commons.beam;
 
 import java.util.HashMap;
-import java.util.Properties;
 import org.apache.beam.sdk.Pipeline;
 import org.apache.beam.sdk.options.PipelineOptions;
 import org.apache.commons.configuration2.Configuration;
@@ -31,8 +30,8 @@ public class AbstractPipeline extends Pipeline {
    *
    * @return the build configuration.
    */
-  public HashMap buildConsumerConfig() {
-    final HashMap consumerConfig = new HashMap();
+  public HashMap<String, Object> buildConsumerConfig() {
+    final HashMap<String, Object> consumerConfig = new HashMap<>();
     consumerConfig.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,
         config.getString(ConfigurationKeys.ENABLE_AUTO_COMMIT_CONFIG));
     consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,

theodolite-benchmarks/beam-commons/src/main/java/theodolite/commons/beam/kafka/KafkaWriterTransformation.java

@@ -13,7 +13,7 @@ import org.apache.kafka.common.serialization.StringSerializer;
  * where the value type can be generic.
  * @param <T> type of the value.
  */
-public class KafkaWriterTransformation<T extends Serializer> extends
+public class KafkaWriterTransformation<T> extends
     PTransform<PCollection<KV<String, T>>, PDone> {
 
   private static final long serialVersionUID = 3171423303843174723L;

theodolite-benchmarks/uc4-beam/src/main/java/application/Uc4BeamPipeline.java

 package application;
 
-
 import com.google.common.math.StatsAccumulator;
-
 import java.util.HashMap;
 import java.util.Map;
 import java.util.Set;
-
-import io.confluent.kafka.serializers.KafkaAvroDeserializer;
-import org.apache.beam.sdk.Pipeline;
-import org.apache.beam.sdk.coders.*;
+import org.apache.beam.sdk.coders.AvroCoder;
+import org.apache.beam.sdk.coders.CoderRegistry;
+import org.apache.beam.sdk.coders.SetCoder;
+import org.apache.beam.sdk.coders.StringUtf8Coder;
 import org.apache.beam.sdk.io.kafka.KafkaIO;
 import org.apache.beam.sdk.options.PipelineOptions;
 import org.apache.beam.sdk.transforms.*;
@@ -18,19 +16,16 @@ import org.apache.beam.sdk.values.*;
 import org.apache.commons.configuration2.Configuration;
 import org.apache.kafka.clients.consumer.ConsumerConfig;
 import org.apache.kafka.common.serialization.StringDeserializer;
-import org.apache.kafka.common.serialization.StringSerializer;
 import org.joda.time.Duration;
 import serialization.*;
 import theodolite.commons.beam.AbstractPipeline;
 import theodolite.commons.beam.ConfigurationKeys;
-import theodolite.commons.beam.kafka.KafkaActivePowerRecordReader;
-import theodolite.commons.beam.kafka.KafkaGenericReader;
+import theodolite.commons.beam.kafka.KafkaActivePowerTimestampReader;
 import theodolite.commons.beam.kafka.KafkaWriterTransformation;
 import titan.ccp.configuration.events.Event;
 import titan.ccp.model.records.ActivePowerRecord;
 import titan.ccp.model.records.AggregatedActivePowerRecord;
 
-
 /**
  * Implementation of the use case Database Storage using Apache Beam with the Flink Runner. To
  * execute locally in standalone start Kafka, Zookeeper, the schema-registry and the workload
@@ -62,7 +57,7 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
     final Duration gracePeriod = Duration.standardSeconds(grace);
 
     // Build kafka configuration
-    final HashMap consumerConfig = buildConsumerConfig();
+    final HashMap<String, Object> consumerConfig = buildConsumerConfig();
     final HashMap<String, Object> configurationConfig = configurationConfig(config);
 
     // Set Coders for Classes that will be distributed
@@ -70,22 +65,21 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
     registerCoders(cr);
 
     // Read from Kafka
-    final PTransform<PBegin, PCollection<KV<String, ActivePowerRecord>>>
+    final KafkaActivePowerTimestampReader
         kafkaActivePowerRecordReader =
-        new KafkaActivePowerRecordReader(bootstrapServer, inputTopic, consumerConfig);
-
-//    final PTransform<PBegin, PCollection<KV<String, AggregatedActivePowerRecord>>>
-//        kafkaAggregatedPowerRecordReader =
-//        new KafkaGenericReader<String, AggregatedActivePowerRecord>
-//            (bootstrapServer, feedbackTopic, configurationConfig, StringDeserializer.class,
-//                (Class<KafkaAvroDeserializer>) KafkaAvroDeserializer.class);
+        new KafkaActivePowerTimestampReader(bootstrapServer, inputTopic, consumerConfig);
 
     // Transform into AggregatedActivePowerRecords into ActivePowerRecords
     final AggregatedToActive aggregatedToActive = new AggregatedToActive();
 
     // Write to Kafka
-    final KafkaWriterTransformation kafkaWriter =
-        new KafkaWriterTransformation(bootstrapServer, outputTopic, StringSerializer.class);
+    final KafkaWriterTransformation<AggregatedActivePowerRecord> kafkaOutput =
+        new KafkaWriterTransformation<>(
+            bootstrapServer, outputTopic, AggregatedActivePowerRecordSerializer.class);
+
+    final KafkaWriterTransformation<AggregatedActivePowerRecord> kafkaFeedback =
+        new KafkaWriterTransformation<>(
+            bootstrapServer, feedbackTopic, AggregatedActivePowerRecordSerializer.class);
 
 
     // Apply pipeline transformations
@@ -179,8 +173,8 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
             .apply("Filter out null values",
                 Filter.by(filterNullValues));
 
-    SetIdForAggregated setIdForAggregated = new SetIdForAggregated();
-    SetKeyToGroup setKeyToGroup = new SetKeyToGroup();
+    final SetIdForAggregated setIdForAggregated = new SetIdForAggregated();
+    final SetKeyToGroup setKeyToGroup = new SetKeyToGroup();
 
     // Aggregate for every sensor group of the current level
     final PCollection<KV<String, AggregatedActivePowerRecord>>
@@ -200,19 +194,10 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
         .apply("Set the Identifier in AggregatedActivePowerRecord",
             MapElements.via(setIdForAggregated));
 
-    aggregations.apply("Write to aggregation results",
-        KafkaIO.<String, AggregatedActivePowerRecord>write()
-            .withBootstrapServers(bootstrapServer)
-            .withTopic(outputTopic)
-            .withKeySerializer(StringSerializer.class)
-            .withValueSerializer(AggregatedActivePowerRecordSerializer.class));
+    aggregations.apply("Write to aggregation results", kafkaOutput);
 
     aggregations
-        .apply("Write to feedback topic", KafkaIO.<String, AggregatedActivePowerRecord>write()
-            .withBootstrapServers(bootstrapServer)
-            .withTopic(feedbackTopic)
-            .withKeySerializer(StringSerializer.class)
-            .withValueSerializer(AggregatedActivePowerRecordSerializer.class));
+        .apply("Write to feedback topic", kafkaFeedback);
 
   }
 
@@ -222,7 +207,7 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
    *
    * @return the build configuration.
    */
-  public HashMap<String, Object> configurationConfig(Configuration config) {
+  public HashMap<String, Object> configurationConfig(final Configuration config) {
     final HashMap<String, Object> consumerConfig = new HashMap<>();
     consumerConfig.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,
         config.getString(ConfigurationKeys.ENABLE_AUTO_COMMIT_CONFIG));
@@ -230,7 +215,6 @@ public final class Uc4BeamPipeline extends AbstractPipeline {
         config
             .getString(ConfigurationKeys.AUTO_OFFSET_RESET_CONFIG));
 
-//    final String applicationName = config.getString( ConfigurationKeys.APPLICATION_NAME) + "-configuration";
     consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, config
         .getString(ConfigurationKeys.APPLICATION_NAME) + "-configuration");
     return consumerConfig;