Merge pull request #12 from mongodb-developer/fix/quick-fix

Added summary at the bottom of the page

Author: ricardohsmello

java/100_aggregation_pipeline_match.ipynb

@@ -260,6 +260,8 @@
    "source": [
     "### Find books with more than 2 available copies.\n",
     "\n",
+    "Hint: use `limit()` to keep the result easier to inspect.\n",
+    "\n",
     "[Solution here](https://mongodb-developer.github.io/sql-to-query-api-lab/docs/aggregation/match-project#-1-find-books-with-more-than-2-available-copies)"
    ]
   },
@@ -278,8 +280,7 @@
     "\n",
     "AggregateIterable<Document> result = books.aggregate(\n",
     "    List.of(\n",
-    "        <REPLACE_WITH_MATCH_STAGE>,\n",
-    "        <REPLACE_WITH_LIMIT_STAGE>\n",
+    "        <REPLACE_WITH_MATCH_STAGE>\n",
     "    ) \n",
     ");\n",
     "\n",
@@ -295,6 +296,8 @@
    "source": [
     "### Find books with more than 2 available copies. Return only book titles and publication year.\n",
     "\n",
+    "Hint: use `limit()` to keep the result easier to inspect.\n",
+    "\n",
     "[Solution here](https://mongodb-developer.github.io/sql-to-query-api-lab/docs/aggregation/match-project#-2-find-books-with-more-than-2-available-copies-return-only-book-titles-and-publication-year)"
    ]
   },
@@ -314,8 +317,7 @@
     "AggregateIterable<Document> result = books.aggregate(\n",
     "    List.of(\n",
     "        <REPLACE_WITH_MATCH_STAGE>,\n",
-    "        <REPLACE_WITH_PROJECT_STAGE>,\n",
-    "        <REPLACE_WITH_LIMIT_STAGE>\n",
+    "        <REPLACE_WITH_PROJECT_STAGE>\n",
     "    )\n",
     ");\n",
     "\n",

java/101_aggregation_pipeline_unwind.ipynb

@@ -166,6 +166,16 @@
     "    System.out.println(\"book: \" + doc.toJson());\n",
     "}"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb2a9a13",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "With `$unwind`, we can deconstruct an array field and return one document for each element in the array, making it easier to work with array values individually."
+   ]
   }
  ],
  "metadata": {

java/102_aggregation_pipeline_lookup.ipynb

@@ -142,7 +142,7 @@
    "source": [
     "### 1. Fetch books with their associated reviews\n",
     "\n",
-    "Bonus: try adding a `$limit` stage as an extra improvement to reduce the output size.\n",
+    "Bonus: We are adding a `limit()` stage as an extra improvement to reduce the output size.\n",
     "\n",
     "[Solution here](https://mongodb-developer.github.io/sql-to-query-api-lab/docs/aggregation/lookup#-1-fetch-books-with-their-associated-reviews)\n"
    ]
@@ -172,6 +172,16 @@
     "    System.out.println(\"book: \" + doc.toJson());\n",
     "}"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7412bef4",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "With `$lookup`, we can join documents from another collection and add the matching results to a new array field in the current document."
+   ]
   }
  ],
  "metadata": {

java/103_aggregation_pipeline_group_by.ipynb

@@ -216,6 +216,16 @@
     "    System.out.println(\"user: \" + doc.toJson());\n",
     "}"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e208abce",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "With `$group`, we can group documents by a field or expression and calculate aggregated values such as counts, sums, and averages for each group."
+   ]
   }
  ],
  "metadata": {

java/104_aggregation_pipeline_set.ipynb

@@ -136,9 +136,7 @@
    "source": [
     "## Summary\n",
     "\n",
-    "`$set` keeps the original fields and adds the new field to each document.\n",
-    "\n",
-    "At the end of the pipeline, each review still contains its original fields, plus the new `reviewYear` field derived from `timestamp`."
+    "With `$set`, we can add a new field to each document or update the value of an existing one while keeping the original fields in the result."
    ]
   }
  ],

java/106_aggregation_pipeline_arrays.ipynb

@@ -261,6 +261,16 @@
     "    System.out.println(\"book: \" + doc.toJson());\n",
     "}"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cb4c4b0d",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "With `$match` and array operators such as `$all` and `$in`, we can filter documents based on the values stored inside array fields."
+   ]
   }
  ],
  "metadata": {