Dontopedia

Consumer

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)

Consumer has 66 facts recorded in Dontopedia across 18 references, with 7 live disagreements.

66 facts·47 predicates·18 sources·7 in dispute

Mostly:rdf:type(9), has attribute(3), configured with(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (32)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

assignedToAssigned to(4)

iteratesOverIterates Over(4)

objectObject(2)

passesToPasses to(2)

actsAsActs As(1)

atCostOfAt Cost of(1)

calledByCalled by(1)

calledOnCalled on(1)

canBeLostByCan Be Lost by(1)

endsWithEnds With(1)

extendsToExtends to(1)

hasIteratorHas Iterator(1)

inverseOfInverse of(1)

isLostByIs Lost by(1)

notConfinedToPercentagesNot Confined to Percentages(1)

operateDetrimentallyToOperate Detrimentally to(1)

performsGracefulShutdownPerforms Graceful Shutdown(1)

precedesPrecedes(1)

preparesOutputForPrepares Output for(1)

receivedByReceived by(1)

subscribedBySubscribed by(1)

usedByUsed by(1)

usedForUsed for(1)

usesKafkaConsumerUses Kafka Consumer(1)

Other facts (63)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

63 facts
PredicateValueRef
Rdf:typePerson[3]
Rdf:typeComponent[4]
Rdf:typeKafka Consumer[5]
Rdf:typeKafka Consumer[9]
Rdf:typeKafka Entity[11]
Rdf:typeKafka Consumer Instance[12]
Rdf:typeKafka Consumer[13]
Rdf:typeConsumer[17]
Rdf:typePerson[18]
Has AttributeAuto Offset Reset[7]
Has AttributeEnable Auto Commit[7]
Has AttributeValue Deserializer[7]
Configured WithBootstrap Servers Config[10]
Configured WithKey Deserializer Config[10]
Configured WithValue Deserializer Config[10]
Pays More Than Exact ImpostDutiable Goods[1]
Pays More Than Exact ImpostDutiable Goods[2]
Requires ConfigurationOffset Management[5]
Requires ConfigurationPolling Intervals[5]
Missing Parametersbootstrap_servers[8]
Missing Parametersvalue_deserializer[8]
Should HaveReliability[14]
Should HaveResilience[14]
Essential to Pay Premium on Dutytrue[2]
Processes FromRabbitmq[4]
CallsProcess Document[4]
NeedsAppropriate Settings[5]
Is Component ofKafka System[5]
ReceivesMessages[6]
Instantiated WithConsumer Config[7]
Intended forMessage Processing[8]
Configuration Stateincomplete[8]
Part ofCode Section[8]
Invokes ClassKafka Consumer Class[8]
Section LocationStep 4[8]
Configuration Incompletetrue[8]
Section Number4[8]
SucceedsProducer[8]
Has Documentation CommentSet up a Kafka consumer to receive and process the messages:[8]
Configuration Statustruncated[8]
Incomplete Becauseend-of-document[8]
Uses DeserializerString Deserializer[10]
Subscribes to TopicMetadata Topic String[10]
Polls With Timeout100[10]
Designed formetadata-consumption[10]
Deserializes Keys AsString[10]
Deserializes Values AsString[10]
Created WithGet Properties Call[10]
Initialization Order1[10]
Uses PropertiesProperties Variable[10]
Can LoseOffset[11]
MaintainsOffset[11]
Is Instance ofKafka Consumer[12]
Called MethodClose[13]
Has StateActive[13]
Used inConsume Messages[13]
Closed byConsumer.close[13]
Has LifecycleConsume to Close[13]
Has MethodClose[13]
Acted As byRetrieval Service[15]
Is InstanceofKafka Consumer[16]
Iterabletrue[17]
Iterated inProcess Feedback Consumer[17]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

paysMoreThanExactImposttrove-cooktown/reynolds
ex:dutiable-goods
essentialToPayPremiumOnDutybrackenridge-cairns-1880-1900/trove-new/3403305_Thursday-14-September-1882-the-brisbane-courier-thursday-september-14-1882
true
paysMoreThanExactImpostbrackenridge-cairns-1880-1900/trove-new/3403305_Thursday-14-September-1882-the-brisbane-courier-thursday-september-14-1882
ex:dutiable-goods
typeseven-sisters-of-sleep/259
ex:Person
typebeam/669e8d83-d33d-483e-bbe5-454a067317fd
ex:Component
labelbeam/669e8d83-d33d-483e-bbe5-454a067317fd
Consumer
processesFrombeam/669e8d83-d33d-483e-bbe5-454a067317fd
ex:rabbitmq
callsbeam/669e8d83-d33d-483e-bbe5-454a067317fd
ex:process-document
typebeam/decb0967-5e38-4ae9-93a8-961b1cc536c2
ex:KafkaConsumer
requiresConfigurationbeam/decb0967-5e38-4ae9-93a8-961b1cc536c2
ex:offset-management
requiresConfigurationbeam/decb0967-5e38-4ae9-93a8-961b1cc536c2
ex:polling-intervals
needsbeam/decb0967-5e38-4ae9-93a8-961b1cc536c2
ex:appropriate-settings
isComponentOfbeam/decb0967-5e38-4ae9-93a8-961b1cc536c2
ex:kafka-system
receivesbeam/5a437c10-2570-4a97-ba2d-36f204785732
ex:messages
instantiatedWithbeam/0128ff87-6a39-4eeb-a34e-ee382328f06c
ex:consumer-config
hasAttributebeam/0128ff87-6a39-4eeb-a34e-ee382328f06c
ex:auto-offset-reset
hasAttributebeam/0128ff87-6a39-4eeb-a34e-ee382328f06c
ex:enable-auto-commit
hasAttributebeam/0128ff87-6a39-4eeb-a34e-ee382328f06c
ex:value-deserializer
intendedForbeam/7a569d31-beef-478a-b190-2a3cc49063cb
ex:message-processing
configurationStatebeam/7a569d31-beef-478a-b190-2a3cc49063cb
incomplete
partOfbeam/7a569d31-beef-478a-b190-2a3cc49063cb
ex:code-section
invokesClassbeam/7a569d31-beef-478a-b190-2a3cc49063cb
ex:KafkaConsumer-class
sectionLocationbeam/7a569d31-beef-478a-b190-2a3cc49063cb
Step 4
configurationIncompletebeam/7a569d31-beef-478a-b190-2a3cc49063cb
true
missingParametersbeam/7a569d31-beef-478a-b190-2a3cc49063cb
bootstrap_servers
missingParametersbeam/7a569d31-beef-478a-b190-2a3cc49063cb
value_deserializer
sectionNumberbeam/7a569d31-beef-478a-b190-2a3cc49063cb
4
succeedsbeam/7a569d31-beef-478a-b190-2a3cc49063cb
ex:producer
hasDocumentationCommentbeam/7a569d31-beef-478a-b190-2a3cc49063cb
Set up a Kafka consumer to receive and process the messages:
configurationStatusbeam/7a569d31-beef-478a-b190-2a3cc49063cb
truncated
incompleteBecausebeam/7a569d31-beef-478a-b190-2a3cc49063cb
end-of-document
typebeam/b752b923-e57a-4368-a186-e0264f2abd4d
ex:KafkaConsumer
labelbeam/b752b923-e57a-4368-a186-e0264f2abd4d
consumer
configuredWithbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:bootstrap-servers-config
configuredWithbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:key-deserializer-config
configuredWithbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:value-deserializer-config
usesDeserializerbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:string-deserializer
subscribesToTopicbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:metadata_topic-string
pollsWithTimeoutbeam/44d04033-2b46-4763-bf49-4e091e18a565
100
designedForbeam/44d04033-2b46-4763-bf49-4e091e18a565
metadata-consumption
deserializesKeysAsbeam/44d04033-2b46-4763-bf49-4e091e18a565
String
deserializesValuesAsbeam/44d04033-2b46-4763-bf49-4e091e18a565
String
createdWithbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:getProperties-call
initializationOrderbeam/44d04033-2b46-4763-bf49-4e091e18a565
1
usesPropertiesbeam/44d04033-2b46-4763-bf49-4e091e18a565
ex:properties-variable
typebeam/24be5f72-fab7-477f-aefe-da2ca9c4d164
ex:KafkaEntity
canLosebeam/24be5f72-fab7-477f-aefe-da2ca9c4d164
ex:offset
maintainsbeam/24be5f72-fab7-477f-aefe-da2ca9c4d164
ex:offset
typebeam/71f3d721-59bd-4430-a604-32399d6c81aa
ex:KafkaConsumerInstance
labelbeam/71f3d721-59bd-4430-a604-32399d6c81aa
consumer
isInstanceOfbeam/71f3d721-59bd-4430-a604-32399d6c81aa
ex:KafkaConsumer
typebeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:KafkaConsumer
calledMethodbeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:close
hasStatebeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:active
usedInbeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:consume_messages
closedBybeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:consumer.close
hasLifecyclebeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:consumeToClose
hasMethodbeam/81387906-78ba-4d4c-ab85-da2da9a52a07
ex:close
should-havebeam/1b9d5d56-2bb3-488f-a870-9d45ee5b0540
ex:reliability
should-havebeam/1b9d5d56-2bb3-488f-a870-9d45ee5b0540
ex:resilience
actedAsBybeam/b78527f9-166b-45f0-b09c-54c19f7f9038
ex:RetrievalService
isInstanceofbeam/b8058973-a47a-4a7f-9258-a8f7e5169853
ex:KafkaConsumer
typebeam/068414e5-6848-467d-9952-f71b82b6ee9a
ex:Consumer
iterablebeam/068414e5-6848-467d-9952-f71b82b6ee9a
true
iteratedInbeam/068414e5-6848-467d-9952-f71b82b6ee9a
ex:process_feedback_consumer
typelme/1389a972-873e-42f8-8f50-af03679bf489
ex:Person

References (18)

18 references
  1. [1]Reynolds1 fact
    ctx:genes/trove-cooktown/reynolds
  2. ctx:genes/brackenridge-cairns-1880-1900/trove-new/3403305_Thursday-14-September-1882-the-brisbane-courier-thursday-september-14-1882
  3. [3]2591 fact
    ctx:books/seven-sisters-of-sleep/259
    • full texttmpj7ei6c0p_seven-sisters-of-sleep_259
      text/plain2 KBdoc:agent/tmpj7ei6c0p_seven-sisters-of-sleep_259/84184658-ef5a-46a6-9ad6-e6e71bd77ca5
      Show excerpt
      of this fungus, is the place it occupies as a substitute for those narcotics known in other parts of the world, and which an ungenial northern climate fails to produce. What the coca is to the Bolivian, and opium to the Chinese—the areca to
  4. ctx:claims/beam/669e8d83-d33d-483e-bbe5-454a067317fd
  5. ctx:claims/beam/decb0967-5e38-4ae9-93a8-961b1cc536c2
  6. ctx:claims/beam/5a437c10-2570-4a97-ba2d-36f204785732
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5a437c10-2570-4a97-ba2d-36f204785732
      Show excerpt
      One thing I noticed is that I haven't actually tested Kafka with streamed documents before, so I'll need to set up a proof of concept to see how it performs. Also, I'll make sure to include error status codes when troubleshooting any integr
  7. ctx:claims/beam/0128ff87-6a39-4eeb-a34e-ee382328f06c
  8. ctx:claims/beam/7a569d31-beef-478a-b190-2a3cc49063cb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7a569d31-beef-478a-b190-2a3cc49063cb
      Show excerpt
      from kafka.errors import KafkaError # Configure the Kafka producer producer = KafkaProducer( bootstrap_servers=['localhost:9092', 'localhost:9093'], # List all brokers value_serializer=lambda v: v.encode('utf-8'), # Serialize str
  9. ctx:claims/beam/b752b923-e57a-4368-a186-e0264f2abd4d
  10. ctx:claims/beam/44d04033-2b46-4763-bf49-4e091e18a565
    • full textbeam-chunk
      text/plain1 KBdoc:beam/44d04033-2b46-4763-bf49-4e091e18a565
      Show excerpt
      KafkaConsumer<String, String> consumer = new KafkaConsumer<>(getProperties()); // Consume metadata from the topic consumer.subscribe(Collections.singleton("metadata_topic")); consumer.poll(100); } p
  11. ctx:claims/beam/24be5f72-fab7-477f-aefe-da2ca9c4d164
    • full textbeam-chunk
      text/plain1 KBdoc:beam/24be5f72-fab7-477f-aefe-da2ca9c4d164
      Show excerpt
      - Enable `auto.leader.rebalance.enable` to balance leadership among brokers. - Disable `unclean.leader.election.enable` to prevent unclean leader elections. 2. **Consumer Configuration**: - Set `AUTO_OFFSET_RESET_CONFIG` to `earli
  12. ctx:claims/beam/71f3d721-59bd-4430-a604-32399d6c81aa
  13. ctx:claims/beam/81387906-78ba-4d4c-ab85-da2da9a52a07
  14. ctx:claims/beam/1b9d5d56-2bb3-488f-a870-9d45ee5b0540
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1b9d5d56-2bb3-488f-a870-9d45ee5b0540
      Show excerpt
      logger.warning(f"Unexpected error on attempt {attempt}: {e}") if attempt == retries: logger.error("Max retries reached. Message consumption failed.") break # Example usage consume_messag
  15. ctx:claims/beam/b78527f9-166b-45f0-b09c-54c19f7f9038
  16. ctx:claims/beam/b8058973-a47a-4a7f-9258-a8f7e5169853
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b8058973-a47a-4a7f-9258-a8f7e5169853
      Show excerpt
      consumer = KafkaConsumer('topic-name', bootstrap_servers=['localhost:9092']) for message in consumer: query = message.value.decode('utf-8') result = process_query(query) print(result) ``` ### Conc
  17. ctx:claims/beam/068414e5-6848-467d-9952-f71b82b6ee9a
  18. ctx:claims/lme/1389a972-873e-42f8-8f50-af03679bf489
    • full textbeam-chunk
      text/plain19 KBdoc:beam/1389a972-873e-42f8-8f50-af03679bf489
      Show excerpt
      [Session date: 2023/05/30 (Tue) 02:38] User: I'm looking for some research on consumer behavior and social media. I recently presented a poster on my research on the effects of social media influencers on consumer purchasing decisions at an

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