Fix index name in bitmap filtering docs (#9032)

* Fix index name in bitmap filtering docs Signed-off-by: Russ Cam <russ@searchpioneer.com> Signed-off-by: Russ Cam <russ.cam@forloop.co.uk> * Apply changes from code review Add forward slashes to URLs Signed-off-by: Russ Cam <russ@searchpioneer.com> Signed-off-by: Russ Cam <russ.cam@forloop.co.uk> * Apply suggestions from code review Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Signed-off-by: Russ Cam <russ.cam@forloop.co.uk> --------- Signed-off-by: Russ Cam <russ@searchpioneer.com> Signed-off-by: Russ Cam <russ.cam@forloop.co.uk> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Fanit Kolchina <kolchfa@amazon.com>
opensearch-project · Feb 17, 2025 · c2ba686 · c2ba686
1 parent dd9a4a4
commit c2ba686
Showing 1 changed file with 5 additions and 5 deletions.
diff --git a/_query-dsl/term/terms.md b/_query-dsl/term/terms.md
@@ -256,9 +256,9 @@ Parameter | Data type | Description
 **Introduced 2.17**
 {: .label .label-purple }
 
-The `terms` query can filter for multiple terms simultaneously. However, when the number of terms in the input filter increases to a large value (around 10,000), the resulting network and memory overhead can become significant, making the query inefficient. In such cases, consider encoding your large terms filter using a [roaring bitmap](https://github.com/RoaringBitmap/RoaringBitmap) for more efficient filtering. 
+The `terms` query can filter for multiple terms simultaneously. However, when the number of terms in the input filter increases to a large value (around 10,000), the resulting network and memory overhead can become significant, making the query inefficient. In such cases, consider encoding your large terms filter using a [roaring bitmap](https://github.com/RoaringBitmap/RoaringBitmap) for more efficient filtering.
 
-The following example assumes that you have two indexes: a `products` index, which contains all the products sold by a company, and a `customers` index, which stores filters representing customers who own specific products. 
+The following example assumes that you have two indexes: a `products` index, which contains all the products sold by a company, and a `customers` index, which stores filters representing customers who own specific products.
 
 First, create a `products` index and map `product_id` as a `keyword`:
 
@@ -277,7 +277,7 @@ PUT /products
 Next, index three documents that correspond to products:
 
 ```json
-PUT students/_doc/1
+PUT /products/_doc/1
 {
   "name": "Product 1",
   "product_id" : "111"
@@ -286,7 +286,7 @@ PUT students/_doc/1
 {% include copy-curl.html %}
 
 ```json
-PUT students/_doc/2
+PUT /products/_doc/2
 {
   "name": "Product 2",
   "product_id" : "222"
@@ -295,7 +295,7 @@ PUT students/_doc/2
 {% include copy-curl.html %}
 
 ```json
-PUT students/_doc/3
+PUT /products/_doc/3
 {
   "name": "Product 3",
   "product_id" : "333"