Datasink
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
Datasink has 9 facts recorded in Dontopedia across 1 reference.
Mostly:rdf:type(1), connection type(1), format(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
feedsFeeds(1)
- Applymapping
ex:applymapping
feedsIntoFeeds Into(1)
- Applymapping
ex:applymapping
isFedByIs Fed by(1)
- S3
ex:S3
writesToS3Writes to S3(1)
- Glue Script
ex:glue-script
Other facts (9)
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.
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.
References (1)
ctx:claims/beam/4d419257-f629-4f00-be3a-97c5f9475ac8- full textbeam-chunktext/plain1 KB
doc:beam/4d419257-f629-4f00-be3a-97c5f9475ac8Show excerpt
args = getResolvedOptions(sys.argv, ['JOB_NAME', 'input', 'output']) sc = SparkContext() glueContext = GlueContext(sc) spark = glueContext.spark_session job = Job(glueContext) job.init(args['JOB_NAME'], args) # Read data from S3 datasourc…
See also
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