Visual Guide: text changes
diff --git a/solr/solr-ref-guide/src/logs.adoc b/solr/solr-ref-guide/src/logs.adoc
index 0a57748..d638c48 100644
--- a/solr/solr-ref-guide/src/logs.adoc
+++ b/solr/solr-ref-guide/src/logs.adoc
@@ -104,7 +104,7 @@
=== Collections
-Another key field is the `collection_s` field which is the collection that the
+Another important field is the `collection_s` field which is the collection that the
log record was generated from.
The `facet` expression can be used to visualize the different collections and how many log records
@@ -126,7 +126,7 @@
of the logs.
In the example below a time series is used to visualize the log record counts
-at 15 second intervals across the full range of log records.
+at 15 second intervals.
image::images/math-expressions/logs-time-series.png[]
@@ -145,8 +145,7 @@
minute 27 and minute 52. But the query activity does not account for the large spike in
log activity that follows.
-
-We can account for that spike by changing the search to include *update*, *commit*,
+We can account for that spike by changing the search to include only *update*, *commit*,
and *deleteByQuery* records in the logs. We can also narrow by collection
so we know where these activities are taking place.
@@ -154,17 +153,17 @@
image::images/math-expressions/logs-time-series3.png[]
Through the various exploratory queries and visualizations we now have a much
-better understanding of the what's contained in the logs.
+better understanding of what's contained in the logs.
== Query Counting
Distributed searches produce more then one log record for each query. There will be one *top level* log
record for
-the top level distributed query and a *shard level* log record on a replica from each shard. There may also
+the top level distributed query and a *shard level* log record on one replica from each shard. There may also
be a set of *ids* queries to retrieve fields by id from the shards to complete the page of results.
-There are fields in the log index that can be used to differentiate between the types of query records.
+There are fields in the log index that can be used to differentiate between the three types of query records.
The examples below use the `stats` function to count the different types of query records in the logs.
The same queries can be used with `search`, `random` and `timeseries` functions to return results
