/*
* Copyright © 2014 Cask Data, Inc.
*
* Licensed 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 co.cask.cdap.metrics.process;
import co.cask.cdap.api.data.schema.Schema;
import co.cask.cdap.api.data.schema.UnsupportedTypeException;
import co.cask.cdap.api.metrics.MetricStore;
import co.cask.cdap.api.metrics.MetricValues;
import co.cask.cdap.api.metrics.MetricsContext;
import co.cask.cdap.common.conf.Constants;
import co.cask.cdap.internal.io.DatumReader;
import co.cask.cdap.internal.io.DatumReaderFactory;
import co.cask.cdap.internal.io.SchemaGenerator;
import com.google.common.base.Throwables;
import com.google.common.reflect.TypeToken;
import com.google.inject.Inject;
import com.google.inject.name.Named;
import org.apache.twill.kafka.client.KafkaConsumer;
/**
* A {@link MessageCallbackFactory} that creates MessageCallback for processing
* {@link co.cask.cdap.api.metrics.MetricValues} with offset persists to {@link KafkaConsumerMetaTable}.
*/
public final class MetricsMessageCallbackFactory implements MessageCallbackFactory {
private final DatumReader<MetricValues> datumReader;
private final Schema recordSchema;
private final MetricStore metricStore;
private final int persistThreshold;
@Inject
public MetricsMessageCallbackFactory(SchemaGenerator schemaGenerator, DatumReaderFactory readerFactory,
MetricStore metricStore,
@Named(Constants.Metrics.KAFKA_CONSUMER_PERSIST_THRESHOLD)
int persistThreshold) {
try {
this.recordSchema = schemaGenerator.generate(MetricValues.class);
this.datumReader = readerFactory.create(TypeToken.of(MetricValues.class), recordSchema);
this.metricStore = metricStore;
this.persistThreshold = persistThreshold;
} catch (UnsupportedTypeException e) {
throw Throwables.propagate(e);
}
}
@Override
public KafkaConsumer.MessageCallback create(KafkaConsumerMetaTable metaTable, MetricsContext metricsContext) {
metricStore.setMetricsContext(metricsContext);
return new PersistedMessageCallback(
new MetricsMessageCallback(datumReader, recordSchema, metricStore, metricsContext), metaTable, persistThreshold);
}
}