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DataDog · Sep 9, 2020 · 6cf20cc · 6cf20cc
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Showing 4 changed files with 9 additions and 9 deletions.
diff --git a/clickhouse/datadog_checks/clickhouse/data/conf.yaml.example b/clickhouse/datadog_checks/clickhouse/data/conf.yaml.example
@@ -85,7 +85,7 @@ instances:
     # use_global_custom_queries: 'true'
 
     ## @param custom_queries - list of mappings - optional
-    ## Each query must have 2 fields:
+    ## Each query must have 2 fields, and can have a third optional field:
     ##
     ## 1. query - The SQL to execute. It can be a simple statement or a multi-line script.
     ##            Use the pipe `|` if you require a multi-line script.
@@ -101,7 +101,7 @@ instances:
     ##                          with the name and value of the item in this column. You can
     ##                          use the `count` type to perform aggregation for queries that
     ##                          return multiple rows with the same or no tags.
-    ##              Columns without a name are ignored, use this for any column you wish to skip:
+    ##              Columns without a name are ignored. To skip a column, enter:
     ##                - {}
     ## 3. tags (optional) - A list of tags to apply to each metric.
     #

diff --git a/datadog_checks_dev/datadog_checks/dev/tooling/templates/configuration/instances/db.yaml b/datadog_checks_dev/datadog_checks/dev/tooling/templates/configuration/instances/db.yaml
@@ -10,7 +10,7 @@
     example: "true"
 - name: custom_queries
   description: |
-    Each query must have 2 fields:
+    Each query must have 2 fields, and can have a third optional field:
 
     1. query - The SQL to execute. It can be a simple statement or a multi-line script.
                Use the pipe `|` if you require a multi-line script.
@@ -26,7 +26,7 @@
                              with the name and value of the item in this column. You can
                              use the `count` type to perform aggregation for queries that
                              return multiple rows with the same or no tags.
-                 Columns without a name are ignored, use this for any column you wish to skip:
+                 Columns without a name are ignored. To skip a column, enter:
                    - {}
     3. tags (optional) - A list of tags to apply to each metric.
   value:

diff --git a/mysql/datadog_checks/mysql/data/conf.yaml.example b/mysql/datadog_checks/mysql/data/conf.yaml.example
@@ -93,7 +93,7 @@ instances:
     # use_global_custom_queries: 'true'
 
     ## @param custom_queries - list of mappings - optional
-    ## Each query must have 2 fields:
+    ## Each query must have 2 fields, and can have a third optional field:
     ##
     ## 1. query - The SQL to execute. It can be a simple statement or a multi-line script.
     ##            Use the pipe `|` if you require a multi-line script.
@@ -109,7 +109,7 @@ instances:
     ##                          with the name and value of the item in this column. You can
     ##                          use the `count` type to perform aggregation for queries that
     ##                          return multiple rows with the same or no tags.
-    ##              Columns without a name are ignored, use this for any column you wish to skip:
+    ##              Columns without a name are ignored. To skip a column, enter:
     ##                - {}
     ## 3. tags (optional) - A list of tags to apply to each metric.
     #

diff --git a/vertica/datadog_checks/vertica/data/conf.yaml.example b/vertica/datadog_checks/vertica/data/conf.yaml.example
@@ -117,12 +117,12 @@ instances:
     ##
     ## 1. true - `global_custom_queries` override `custom_queries`.
     ## 2. false - `custom_queries` override `global_custom_queries`.
-    ## 2. extend - `global_custom_queries` are used in addition to any `custom_queries`.
+    ## 3. extend - `global_custom_queries` are used in addition to any `custom_queries`.
     #
     # use_global_custom_queries: 'true'
 
     ## @param custom_queries - list of mappings - optional
-    ## Each query must have 2 fields:
+    ## Each query must have 2 fields, and can have a third optional field:
     ##
     ## 1. query - The SQL to execute. It can be a simple statement or a multi-line script.
     ##            Use the pipe `|` if you require a multi-line script.
@@ -138,7 +138,7 @@ instances:
     ##                          with the name and value of the item in this column. You can
     ##                          use the `count` type to perform aggregation for queries that
     ##                          return multiple rows with the same or no tags.
-    ##              Columns without a name are ignored, use this for any column you wish to skip:
+    ##              Columns without a name are ignored. To skip a column, enter:
     ##                - {}
     ## 3. tags (optional) - A list of tags to apply to each metric.
     #