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The following commit(s) were added to refs/heads/30.0.1 by this push:
new aa4702608a0 [Docs] Remove ambiguous advice regarding TopN correctness
(#17522) (#17523)
aa4702608a0 is described below
commit aa4702608a0d25d69f77bad7658fae212feef6b3
Author: Charles Smith <[email protected]>
AuthorDate: Fri Nov 29 23:16:49 2024 -0800
[Docs] Remove ambiguous advice regarding TopN correctness (#17522) (#17523)
---
docs/querying/topnquery.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/querying/topnquery.md b/docs/querying/topnquery.md
index 663ae2ce7db..25d8b224802 100644
--- a/docs/querying/topnquery.md
+++ b/docs/querying/topnquery.md
@@ -32,7 +32,7 @@ sidebar_label: "TopN"
Apache Druid TopN queries return a sorted set of results for the values in a
given dimension according to some criteria. Conceptually, they can be thought
of as an approximate [GroupByQuery](../querying/groupbyquery.md) over a single
dimension with an [Ordering](../querying/limitspec.md) spec. TopNs are much
faster and resource efficient than GroupBys for this use case. These types of
queries take a topN query object and return an array of JSON objects where each
object represents a valu [...]
-TopNs are approximate in that each data process will rank their top K results
and only return those top K results to the Broker. K, by default in Druid, is
`max(1000, threshold)`. In practice, this means that if you ask for the top
1000 items ordered, the correctness of the first ~900 items will be 100%, and
the ordering of the results after that is not guaranteed. TopNs can be made
more accurate by increasing the threshold.
+TopNs are approximate in that each data process will rank their top K results
and only return those top K results to the Broker. K, by default in Druid, is
`max(1000, threshold)`.
A topN query object looks like:
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