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Posted to commits@lucene.apache.org by cp...@apache.org on 2019/02/14 18:53:18 UTC

[lucene-solr] branch branch_7_7 updated: fix grammar in streaming-expressions.adoc

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

cpoerschke pushed a commit to branch branch_7_7
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git


The following commit(s) were added to refs/heads/branch_7_7 by this push:
     new 8631dd6  fix grammar in streaming-expressions.adoc
8631dd6 is described below

commit 8631dd6c44708cde7840785c2fdfd3dc046ddedb
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.