/* * 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); } }