apache-kafka - 流集：有没有办法使用流集来计算 Kafka 主题中的记录

Question

我使用 StreamSets 作为摄取工具，将记录从 Oracle 数据库提取到 Kafka 主题。现在，我想通过 StreamSets 本身来使用它，并且还想计算 Kafka 主题中的记录数。

我怎样才能做到这一点。请帮助

Answer 1

您可以使用 StreamSets Data Collector 的historyREST API 来检索具有每个阶段的记录计数的数据。例如，这里是给定管道的最后一次运行的计数器。我正在使用出色的jq工具在命令行解析 JSON。

$ curl -s -u admin:admin -H 'X-Requested-By:sdc' http://localhost:18630/rest/v1/pipeline/RedshiftStreamingwithKinesisFirehose537add73-bb16-4358-a26a-a51576dea32b/history | jq -r .[0].metrics | jq .counters
{
  "pipeline.batchCount.counter": {
    "count": 1029
  },
  "pipeline.batchErrorMessages.counter": {
    "count": 0
  },
  "pipeline.batchErrorRecords.counter": {
    "count": 0
  },
  "pipeline.batchInputRecords.counter": {
    "count": 648226
  },
  "pipeline.batchOutputRecords.counter": {
    "count": 648226
  },
  "stage.ExpressionEvaluator_01.errorRecords.counter": {
    "count": 0
  },
  "stage.ExpressionEvaluator_01.inputRecords.counter": {
    "count": 648226
  },
  "stage.ExpressionEvaluator_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.ExpressionEvaluator_01.stageErrors.counter": {
    "count": 0
  },
  "stage.ExpressionEvaluator_01:ExpressionEvaluator_01OutputLane15561338960790.outputRecords.counter": {
    "count": 648226
  },
  "stage.FieldOrder_01.errorRecords.counter": {
    "count": 0
  },
  "stage.FieldOrder_01.inputRecords.counter": {
    "count": 648226
  },
  "stage.FieldOrder_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.FieldOrder_01.stageErrors.counter": {
    "count": 0
  },
  "stage.FieldOrder_01:FieldOrder_01OutputLane15561351879260.outputRecords.counter": {
    "count": 648226
  },
  "stage.FieldTypeConverter_01.errorRecords.counter": {
    "count": 0
  },
  "stage.FieldTypeConverter_01.inputRecords.counter": {
    "count": 648226
  },
  "stage.FieldTypeConverter_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.FieldTypeConverter_01.stageErrors.counter": {
    "count": 0
  },
  "stage.FieldTypeConverter_01:FieldTypeConverter_01OutputLane15560499048280.outputRecords.counter": {
    "count": 648226
  },
  "stage.KinesisFirehose_01.errorRecords.counter": {
    "count": 0
  },
  "stage.KinesisFirehose_01.inputRecords.counter": {
    "count": 648226
  },
  "stage.KinesisFirehose_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.KinesisFirehose_01.stageErrors.counter": {
    "count": 0
  },
  "stage.MySQLBinaryLog_01.errorRecords.counter": {
    "count": 0
  },
  "stage.MySQLBinaryLog_01.inputRecords.counter": {
    "count": 0
  },
  "stage.MySQLBinaryLog_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.MySQLBinaryLog_01.stageErrors.counter": {
    "count": 0
  },
  "stage.MySQLBinaryLog_01:MySQLBinaryLog_01OutputLane15561313696850.outputRecords.counter": {
    "count": 648226
  },
  "stage.StreamSelector_01.errorRecords.counter": {
    "count": 0
  },
  "stage.StreamSelector_01.inputRecords.counter": {
    "count": 648226
  },
  "stage.StreamSelector_01.outputRecords.counter": {
    "count": 648226
  },
  "stage.StreamSelector_01.stageErrors.counter": {
    "count": 0
  },
  "stage.StreamSelector_01:StreamSelector_01OutputLane1556133811620.outputRecords.counter": {
    "count": 0
  },
  "stage.StreamSelector_01:StreamSelector_01OutputLane1556133816638.outputRecords.counter": {
    "count": 648226
  },
  "stage.Trash_01.errorRecords.counter": {
    "count": 0
  },
  "stage.Trash_01.inputRecords.counter": {
    "count": 0
  },
  "stage.Trash_01.outputRecords.counter": {
    "count": 0
  },
  "stage.Trash_01.stageErrors.counter": {
    "count": 0
  }
}