Beam:使用窗口边界写入每个窗口元素计数
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【中文标题】Beam:使用窗口边界写入每个窗口元素计数【英文标题】:Beam: writing per window element count with window boundaries 【发布时间】:2018-11-26 03:40:07 【问题描述】:对于一个简单的概念验证,我试图在两分钟的窗口中显示点击数据。我想做的就是打印每个窗口的计数,以及 BigQuery 的窗口边界。在运行我的管道时,我不断收到以下错误:
org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: java.io.IOException: Insert failed: ["errors":["debugInfo":"","location":"windowend","message":"This field is not a record.","reason":"invalid"],"index":0]
管道如下所示:
// Creating the pipeline
Pipeline p = Pipeline.create(options);
// Window items
PCollection<TableRow> counts = p.apply("ReadFromPubSub", PubsubIO.readStrings().fromTopic(options.getTopic()))
.apply("AddEventTimestamps", WithTimestamps.of(TotalCountPipeline::ExtractTimeStamp).withAllowedTimestampSkew(Duration.standardDays(10000)))
.apply("Window", Window.<String>into(
FixedWindows.of(Duration.standardHours(options.getWindowSize())))
.triggering(
AfterWatermark.pastEndOfWindow()
.withLateFirings(AfterPane.elementCountAtLeast(1)))
.withAllowedLateness(Duration.standardDays(10000))
.accumulatingFiredPanes())
.apply("CalculateSum", Combine.globally(Count.<String>combineFn()).withoutDefaults())
.apply("BigQueryFormat", ParDo.of(new FormatCountsFn()));
// Writing to BigQuery
counts.apply("WriteToBigQuery",BigQueryIO.writeTableRows()
.to(options.getOutputTable())
.withSchema(getSchema())
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));
// Execute pipeline
p.run().waitUntilFinish();
我猜是和BigQuery格式化函数有关,实现如下:
static class FormatCountsFn extends DoFn<Long, TableRow>
@ProcessElement
public void processElement(ProcessContext c, BoundedWindow window)
TableRow row =
new TableRow()
.set("windowStart", window.maxTimestamp().toDateTime())
.set("count", c.element().intValue());
c.output(row);
受this post 启发。任何人都可以对此有所了解吗?我似乎无法理解它。
【问题讨论】:
【参考方案1】:显然,这个问题的答案与光束窗口无关,仅与 BigQuery 有关。将 DateTime 对象写入 BigQuery 行需要一个正确的 yyyy-MM-dd HH:mm:ss 格式的字符串,这与我提供的 DateTime 对象相反。
【讨论】:
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