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Posted to commits@avro.apache.org by mg...@apache.org on 2026/01/09 06:32:50 UTC

(avro) branch main updated: remove plural marker on abstract non-count noun (#3615)

This is an automated email from the ASF dual-hosted git repository.

mgrigorov pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/avro.git


The following commit(s) were added to refs/heads/main by this push:
     new cbc457da80 remove plural marker on abstract non-count noun (#3615)
cbc457da80 is described below

commit cbc457da80df85336e1ee792cbbcbb02513dbeb9
Author: Brandon Zylstra <98...@users.noreply.github.com>
AuthorDate: Fri Jan 9 01:32:45 2026 -0500

    remove plural marker on abstract non-count noun (#3615)
    
    "Overhead" is an abstract non-count noun and thus it is not normally possible to pluralize it in English.  In this respect it is like "information" or "happiness".
    
    I was not sure which file to make this change in, as I don't know which files are derived from which.  I've you'd like, I can make the change in another location—just let me know where it makes the most sense.
    
    I hope this is helpful.
---
 doc/content/en/docs/_index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/content/en/docs/_index.md b/doc/content/en/docs/_index.md
index ac7cba47bb..db24f656ee 100755
--- a/doc/content/en/docs/_index.md
+++ b/doc/content/en/docs/_index.md
@@ -39,7 +39,7 @@ Avro provides:
 
 ## Schemas
 
-Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overheads, making serialization both fast and small. This also facilitates use with dynamic, scripting languages, since data, together with its schema, is fully self-describing.
+Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overhead, making serialization both fast and small. This also facilitates use with dynamic, scripting languages, since data, together with its schema, is fully self-describing.
 
 When Avro data is stored in a file, its schema is stored with it, so that files may be processed later by any program. If the program reading the data expects a different schema this can be easily resolved, since both schemas are present.