| /* |
| * 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.beam.learning.katas.windowing.fixedwindow; |
| |
| import org.apache.beam.learning.katas.util.Log; |
| import org.apache.beam.sdk.Pipeline; |
| import org.apache.beam.sdk.options.PipelineOptions; |
| import org.apache.beam.sdk.options.PipelineOptionsFactory; |
| import org.apache.beam.sdk.transforms.Count; |
| import org.apache.beam.sdk.transforms.Create; |
| import org.apache.beam.sdk.transforms.windowing.FixedWindows; |
| import org.apache.beam.sdk.transforms.windowing.Window; |
| import org.apache.beam.sdk.values.KV; |
| import org.apache.beam.sdk.values.PCollection; |
| import org.apache.beam.sdk.values.TimestampedValue; |
| import org.joda.time.Duration; |
| import org.joda.time.Instant; |
| |
| public class Task { |
| |
| public static void main(String[] args) { |
| PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create(); |
| Pipeline pipeline = Pipeline.create(options); |
| |
| PCollection<String> events = |
| pipeline.apply( |
| Create.timestamped( |
| TimestampedValue.of("event", Instant.parse("2019-06-01T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-01T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-01T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-01T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-05T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-05T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-08T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-08T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-08T00:00:00+00:00")), |
| TimestampedValue.of("event", Instant.parse("2019-06-10T00:00:00+00:00")) |
| ) |
| ); |
| |
| PCollection<KV<String, Long>> output = applyTransform(events); |
| |
| output.apply(Log.ofElements()); |
| |
| pipeline.run(); |
| } |
| |
| static PCollection<KV<String, Long>> applyTransform(PCollection<String> events) { |
| return events |
| .apply(Window.into(FixedWindows.of(Duration.standardDays(1)))) |
| .apply(Count.perElement()); |
| } |
| |
| } |