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-rw-r--r--doc/development/adding_database_indexes.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/development/adding_database_indexes.md b/doc/development/adding_database_indexes.md
index ea6f14da3b9..d1d2b8c4907 100644
--- a/doc/development/adding_database_indexes.md
+++ b/doc/development/adding_database_indexes.md
@@ -28,9 +28,9 @@ to filter data by. Instead one should ask themselves the following questions:
1. Can I write my query in such a way that it re-uses as many existing indexes
as possible?
-2. Is the data going to be large enough that using an index will actually be
+1. Is the data going to be large enough that using an index will actually be
faster than just iterating over the rows in the table?
-3. Is the overhead of maintaining the index worth the reduction in query
+1. Is the overhead of maintaining the index worth the reduction in query
timings?
We'll explore every question in detail below.
@@ -62,7 +62,7 @@ In short:
1. Try to write your query in such a way that it re-uses as many existing
indexes as possible.
-2. Run the query using `EXPLAIN ANALYZE` and study the output to find the most
+1. Run the query using `EXPLAIN ANALYZE` and study the output to find the most
ideal query.
## Data Size