DOCSP-29469: Fix links on Aggregation Expression Operators page (#376)

Author: Chris Cho

source/fundamentals/aggregation-expression-operations.txt

@@ -53,7 +53,7 @@ string field called ``name``:
 
 .. code-block:: java
    :copyable: true
-   
+
    current().getString("name")
 
 To specify a value in an operation, pass it to the ``of()`` constructor method to
@@ -62,7 +62,7 @@ value of ``1.0``:
 
 .. code-block:: java
    :copyable: true
-   
+
    of(1.0)
 
 To create an operation, chain a method to your field or value reference.
@@ -73,7 +73,7 @@ Mexico who have visited the doctor’s office at least once. The operation
 performs the following actions:
 
 - Checks if the size of the ``visitDates`` array is greater than ``0``
-  by using the ``gt()`` method 
+  by using the ``gt()`` method
 - Checks if the ``state`` field value is “New Mexico” by using the
   ``eq()`` method
 
@@ -82,7 +82,7 @@ matches only documents that meet both criteria.
 
 .. code-block:: java
    :copyable: true
-      
+
    current()
        .getArray("visitDates")
        .size()
@@ -155,7 +155,7 @@ expressions.
 
    * - `ofEntry() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlValues.html#ofEntry(com.mongodb.client.model.mql.MqlString,T)>`__
      - Returns an entry value.
-     
+
    * - `ofMap() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlValues.html#ofMap()>`__
      - Returns an empty map value.
 
@@ -391,7 +391,7 @@ with ``lt()``. The ``project()`` method stores these filtered results as a new
    You must specify the type of the array that you retrieve with the
    ``getArray()`` method if you need to work with the values of the
    array as their specific type.
-   
+
    In this example, we specify that the ``seats`` array contains values
    of type ``MqlDocument`` so that we can extract nested fields from
    each array entry.
@@ -433,7 +433,7 @@ the Query API:
                input: "$showtimes",
                as: "showtime",
                cond: { $lt: [ "$$showtime.ticketsBought", { $sum: "$$showtime.seats" } ] }
-       } } 
+       } }
    } } ]
 
 Boolean Operations
@@ -451,7 +451,7 @@ using the methods described in this section.
 
    * - `and() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlBoolean.html#and(com.mongodb.client.model.mql.MqlBoolean)>`__
      - :manual:`$and </reference/operator/aggregation/and/>`
-       
+
    * - `not() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlBoolean.html#not()>`__
      - :manual:`$not </reference/operator/aggregation/not/>`
 
@@ -657,7 +657,7 @@ into custom static methods.
      - Aggregation Pipeline Operator
 
    * - `passTo() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlValue.html#passTo(java.util.function.Function)>`__
-       
+
        | **Typed Variants**:
        | `passArrayTo() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlArray.html#passArrayTo(java.util.function.Function)>`__
        | `passBooleanTo() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlBoolean.html#passBooleanTo(java.util.function.Function)>`__
@@ -719,7 +719,7 @@ The following code shows the pipeline for this aggregation:
 
 .. code-block:: java
    :copyable: true
-   
+
    var students = current().<MqlDocument>getArray("students");
 
    asList(project(fields(
@@ -762,7 +762,7 @@ types using the methods described in this section.
 
    * - `asDocument() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlMap.html#asDocument()>`__
      - *No corresponding operator*
-       
+
    * - `asMap() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlDocument.html#asMap()>`__
      - *No corresponding operator*
 
@@ -798,7 +798,7 @@ The following code shows the pipeline for this aggregation:
    var graduationYear = current().getString("graduationYear");
 
    asList(addFields(
-       new Field("reunionYear", 
+       new Field("reunionYear",
            graduationYear
                .parseInteger()
                .add(5))
@@ -894,10 +894,10 @@ the Query API:
    [ { $match: {
        $expr: {
            $eq: [ {
-               $dayOfWeek: { 
+               $dayOfWeek: {
                    date: { $dateFromString: { dateString: "$deliveryDate" } },
                    timezone: "America/New_York" }},
-               2 
+               2
            ] }
    } } ]
 
@@ -934,8 +934,8 @@ using the methods described in this section.
    * - `setField() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlDocument.html#setField(java.lang.String,com.mongodb.client.model.mql.MqlValue)>`__
      - :manual:`$setField </reference/operator/aggregation/setField/>`
 
-   * - `unsetField() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/>`__
-     - :manual:`$unsetField </reference/operator/aggregation/unsetField/MqlDocument.html#unsetField(java.lang.String)>`
+   * - `unsetField() <{+api+}/apidocs/mongodb-driver-core/com/mongodb/client/model/mql/MqlDocument.html#unsetField(java.lang.String)>`__
+     - :manual:`$unsetField </reference/operator/aggregation/unsetField/>`
 
 Suppose you have a collection of legacy customer data which includes
 addresses as child documents under the ``mailing.address`` field. You want
@@ -983,10 +983,10 @@ the Query API:
    [
        { $match: {
            $expr: {
-               $eq: [{ 
+               $eq: [{
                    $getField: {
-                       input: { $getField: { input: "$$CURRENT", field: "mailing.address"}}, 
-                       field: "state" }}, 
+                       input: { $getField: { input: "$$CURRENT", field: "mailing.address"}},
+                       field: "state" }},
                    "WA" ]
    }}}]
 
@@ -997,7 +997,7 @@ You can perform a map operation on a value of either type ``MqlMap`` or
 ``MqlEntry`` using the methods described in this section.
 
 .. tip::
-   
+
    You should represent data as a map if the data maps
    arbitrary keys such as dates or item IDs to values.
 
@@ -1146,7 +1146,7 @@ The following code shows the pipeline for this aggregation:
            .append(employeeID)
            .toLower())
    )));
-   
+
 The following code provides an equivalent aggregation pipeline in
 the Query API: