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adust    
a. 烤干的,阴沉的

烤干的,阴沈的

adust
adj 1: dried out by heat or excessive exposure to sunlight; "a
vast desert all adust"; "land lying baked in the heat";
"parched soil"; "the earth was scorched and bare";
"sunbaked salt flats" [synonym: {adust}, {baked}, {parched},
{scorched}, {sunbaked}]
2: burned brown by the sun; "of an adust complexion"- Sir Walter
Scott


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英文字典中文字典相关资料:


  • Understanding and Handling NiFi Kafka Consumer Duplicate Messages
    In the context of a NiFi Kafka consumer, these are Kafka messages that are ingested multiple times by NiFi, which can lead to incorrect data processing, redundant computations, and potential data integrity issues
  • Nifi consume duplicate message problem from Kafka
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  • ConsumeKafkaRecord - Apache NiFi
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  • Kafka Duplicate Message Consumption | Charlie Fengs Tech Space
    Duplicate consumption occurs when a Kafka consumer processes the same message multiple times This isn’t necessarily a flaw in Kafka but rather a consequence of its design principles and the complexities of distributed systems Understanding the root causes is the first step towards mitigation
  • ConsumeKafka - Apache NiFi
    No two Kafka messages will be placed into the same FlowFile if they have different schemas, or if they have different values for a message header that is included by the <Headers to Add as Attributes> property
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  • Re: Nifi consume duplicate message problem from Kafka
    Nifi version is 1 23 2 and kafka version 2 6 I use ConsumeKafka_1_0 1 23 2 to read messages from kafka DetectDuplicate 1 23 2 processor is available, which deduplicates stream files on the same stream However, stream read the same recording twice and DetectDuplicate processor could not deduplicate the same message I understand that it reads the
  • Nifi Cluster reading duplicate data from kafka - Stack Overflow
    @GiorgosMyrianthous: No, the consumer ID will be the same as nifi replicates a processor accross the cluster But as mentioned in nifi documentation, it should take care of fetching from different partitions
  • Effective Strategy to Avoid Duplicate Messages in Apache Kafka Consumer
    In this article, we will explore advanced strategies to avoid duplicate messages in Apache Kafka consumers Apache Kafka's at-least-once delivery system ensures message durability, and it can result in messages being delivered more than once





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