我正在尝试聚合DataFlow / Apache Beam Job中每小时的流数据(如12:00到12:59和01:00到01:59)。
以下是我的用例
数据从pubsub流式传输,它有一个时间戳(订单日期)。我想在每小时得到没有订单,我也希望延迟5个小时。以下是我正在使用的示例代码
LOG.info("Start Running Pipeline");
DataflowPipelineOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(DataflowPipelineOptions.class);
Pipeline pipeline = Pipeline.create(options);
PCollection<String> directShipmentFeedData = pipeline.apply("Get Direct Shipment Feed Data", PubsubIO.readStrings().fromSubscription(directShipmentFeedSubscription));
PCollection<String> tibcoRetailOrderConfirmationFeedData = pipeline.apply("Get Tibco Retail Order Confirmation Feed Data", PubsubIO.readStrings().fromSubscription(tibcoRetailOrderConfirmationFeedSubscription));
PCollection<String> flattenData = PCollectionList.of(directShipmentFeedData).and(tibcoRetailOrderConfirmationFeedData)
.apply("Flatten Data from PubSub", Flatten.<String>pCollections());
flattenData
.apply(ParDo.of(new DataParse())).setCoder(SerializableCoder.of(SalesAndUnits.class))
// Adding Window
.apply(
Window.<SalesAndUnits>into(
SlidingWindows.of(Duration.standardMinutes(15))
.every(Duration.standardMinutes(1)))
)
// Data Enrich with Dimensions
.apply(ParDo.of(new DataEnrichWithDimentions()))
// Group And Hourly Sum
.apply(new GroupAndSumSales())
.apply(ParDo.of(new SQLWrite())).setCoder(SerializableCoder.of(SalesAndUnits.class));
pipeline.run();
LOG.info("Finish Running Pipeline");
答案 0 :(得分:0)
我使用的窗口符合您的要求。
的内容Window.into(
FixedWindows.of(Duration.standardHours(1))
).withAllowedLateness(Duration.standardHours(5)))
可能接着是count
,这就是我理解你所需要的。
希望有所帮助