Dontopedia

linger_ms

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

linger_ms is Wait up to 10ms for more messages to batch together, improving throughput.

24 facts·12 predicates·6 sources·7 in dispute

Mostly:has value(4), rdf:type(3), description(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (7)

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.

hasParameterHas Parameter(5)

hasConstructorParameterHas Constructor Parameter(1)

isConfiguredWithIs Configured With(1)

Other facts (22)

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.

22 facts
PredicateValueRef
Has Value10 ms[2]
Has Value10[3]
Has Value10[4]
Has Value10[5]
Rdf:typeConfiguration Parameter[3]
Rdf:typeConfiguration Parameter[4]
Rdf:typeTiming Parameter[5]
DescriptionWait up to 10ms for more messages to batch together, improving throughput[3]
DescriptionLinger Time[5]
DescriptionAdjustable Linger[5]
Unitmilliseconds[1]
UnitMilliseconds[5]
Has Unitms[2]
Has Unitmilliseconds[3]
Is Parameter ofKafka Producer[5]
Is Parameter ofKafka Producer Configuration[6]
Numeric Value10[1]
PurposeWait for More Messages[2]
Results inBatch Efficiency[2]
AffectsLatency[2]
Trades OffLatency[2]
Describes BehaviorAdjust Linger Time[4]

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.

numericValuebeam/e4b7d0ef-1021-403d-b920-7d8e68687753
10
unitbeam/e4b7d0ef-1021-403d-b920-7d8e68687753
milliseconds
hasValuebeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
10 ms
purposebeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
ex:wait-for-more-messages
labelbeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
linger_ms
hasUnitbeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
ms
resultsInbeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
ex:batch-efficiency
affectsbeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
ex:latency
tradesOffbeam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
ex:latency
typebeam/36de2506-ca67-470a-95b6-2d81d5c7903a
ex:ConfigurationParameter
hasValuebeam/36de2506-ca67-470a-95b6-2d81d5c7903a
10
hasUnitbeam/36de2506-ca67-470a-95b6-2d81d5c7903a
milliseconds
descriptionbeam/36de2506-ca67-470a-95b6-2d81d5c7903a
Wait up to 10ms for more messages to batch together, improving throughput
typebeam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
ex:ConfigurationParameter
labelbeam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
Linger Milliseconds
hasValuebeam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
10
describesBehaviorbeam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
ex:adjust-linger-time
hasValuebeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
10
descriptionbeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
ex:linger-time
isParameterOfbeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
ex:kafka-producer
typebeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
ex:TimingParameter
unitbeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
ex:milliseconds
descriptionbeam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
ex:adjustable-linger
isParameterOfbeam/6a7e450a-eb55-4b17-bb79-1c817458b041
ex:kafka-producer-configuration

References (6)

6 references
  1. ctx:claims/beam/e4b7d0ef-1021-403d-b920-7d8e68687753
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e4b7d0ef-1021-403d-b920-7d8e68687753
      Show excerpt
      ### Enhanced Implementation Here's an enhanced version of your Kafka-based ingestion service: ```python from kafka import KafkaProducer import json import time # Create a Kafka producer with optimized configurations producer = KafkaProdu
  2. ctx:claims/beam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c37c93e4-44cf-4cd8-b5c7-54a9f6e563b3
      Show excerpt
      documents = [f"This is document {i}".encode('utf-8') for i in range(15000)] start_time = time.time() for document in documents: ingest_document(document) end_time = time.time() print(f"Processed {len(documents)} documents in {end_time
  3. ctx:claims/beam/36de2506-ca67-470a-95b6-2d81d5c7903a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/36de2506-ca67-470a-95b6-2d81d5c7903a
      Show excerpt
      request_timeout_ms=30000 # Maximum time to wait for a request to complete ) try: # Send a message future = producer.send('my_topic', value='Hello, world!') # Block until the message is sent or timeout result = fut
  4. ctx:claims/beam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b8dc5819-a12c-46b2-9984-6fa9c878c74d
      Show excerpt
      3. **Error Logging**: Log the error with relevant details, including the error status code. 4. **Fallback Mechanism**: Consider a fallback mechanism, such as queuing the document for later processing. ### Example Code Here's an example of
  5. ctx:claims/beam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/06874d9e-bdf7-4bcf-89fd-591efdddab2d
      Show excerpt
      [Turn 4431] Assistant: Understood! When troubleshooting integration issues, it's important to include error status codes to provide more context and aid in diagnosing the problem. Let's revisit the example of handling a `TimeoutException` w
  6. ctx:claims/beam/6a7e450a-eb55-4b17-bb79-1c817458b041
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6a7e450a-eb55-4b17-bb79-1c817458b041
      Show excerpt
      - This helps to avoid overwhelming the Kafka cluster with repeated retries. 3. **Error Logging with Status Codes**: - The error handling blocks log the error status code and message, which can be useful for diagnosing issues. - Th

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