[lucene-solr] branch branch_8x updated: fix grammar in streaming-expressions.adoc

[cp...@apache.org]

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

cpoerschke pushed a commit to branch branch_8x
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git


The following commit(s) were added to refs/heads/branch_8x by this push:
     new 6285b3b  fix grammar in streaming-expressions.adoc
6285b3b is described below

commit 6285b3ba1592989d1c1cbfce83c15262066d9593
Author: Ken Geis <kg...@berkeley.edu>
AuthorDate: Wed Feb 13 09:04:27 2019 -0800

    fix grammar in streaming-expressions.adoc
    
    (Ken Geis via Christine Poerschke)
    
    This closes #572 pull request, thank you.
---
 solr/solr-ref-guide/src/streaming-expressions.adoc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/solr/solr-ref-guide/src/streaming-expressions.adoc b/solr/solr-ref-guide/src/streaming-expressions.adoc
index 1ece943..97eb297 100644
--- a/solr/solr-ref-guide/src/streaming-expressions.adoc
+++ b/solr/solr-ref-guide/src/streaming-expressions.adoc
@@ -49,7 +49,7 @@ Both streaming expressions and the streaming API are considered experimental, an
 
 Streaming Expressions are comprised of streaming functions which work with a Solr collection. They emit a stream of tuples (key/value Maps).
 
-Many of the provided streaming functions are designed to work with entire result sets rather then the top N results like normal search. This is supported by the <<exporting-result-sets.adoc#exporting-result-sets,/export handler>>.
+Many of the provided streaming functions are designed to work with entire result sets rather than the top N results like normal search. This is supported by the <<exporting-result-sets.adoc#exporting-result-sets,/export handler>>.
 
 Some streaming functions act as stream sources to originate the stream flow. Other streaming functions act as stream decorators to wrap other stream functions and perform operations on the stream of tuples. Many streams functions can be parallelized across a worker collection. This can be particularly powerful for relational algebra functions.