From b14d9952161c7cf624ddc9f3a12bfde9a1eb3efe Mon Sep 17 00:00:00 2001 From: Stanimira Vlaeva Date: Mon, 11 Dec 2023 18:25:01 +0100 Subject: [PATCH] Add Atlas UI sections --- docs/1-mongodb-atlas/15-prerequisites.mdx | 4 +- .../0-using-library-database.mdx | 39 +++-- .../30-simple-queries/1-empty-aggregation.mdx | 29 ++-- docs/30-simple-queries/2-match.mdx | 160 +++++++++++++++++- docs/30-simple-queries/3-project.mdx | 70 +++++++- docs/30-simple-queries/4-limiting-results.mdx | 27 +++ .../5-combining-them-all.mdx | 46 ++++- .../6-writing-long-pipelines.mdx | 6 +- docs/30-simple-queries/7-repeating-stages.mdx | 38 ++++- .../8-aggregation-options.mdx | 8 +- package-lock.json | 4 +- .../30-simple-queries/match-screenshot.png | Bin 0 -> 175229 bytes .../img/30-simple-queries/new-aggregation.png | Bin 0 -> 201434 bytes .../select-books-collection.png | Bin 0 -> 220717 bytes static/img/30-simple-queries/select-db.png | Bin 763082 -> 240017 bytes 15 files changed, 379 insertions(+), 52 deletions(-) create mode 100644 static/img/30-simple-queries/match-screenshot.png create mode 100644 static/img/30-simple-queries/new-aggregation.png create mode 100644 static/img/30-simple-queries/select-books-collection.png diff --git a/docs/1-mongodb-atlas/15-prerequisites.mdx b/docs/1-mongodb-atlas/15-prerequisites.mdx index 054a0c6..8f103ff 100644 --- a/docs/1-mongodb-atlas/15-prerequisites.mdx +++ b/docs/1-mongodb-atlas/15-prerequisites.mdx @@ -6,6 +6,6 @@ description: Setting up your MongoDB Atlas account, importing Library data To follow along you'll need: - a MongoDB Atlas account -- some test data, in this case this is Books, Authors and Reviews data for a Library management system. +- test data. In this case, this is books, authors and reviews data for a library management system. -πŸ’» To get both, open the [Intro Lab](https://mongodb-developer.github.io/intro-lab/docs/intro) and follow it (only takes 10-15 mins) to get your database ready. Return here when finished! \ No newline at end of file +πŸ’» To get both, open the [Intro Lab](https://mongodb-developer.github.io/intro-lab/docs/intro) and follow it (only takes 10-15 mins) to get your database ready. Return here when finished! diff --git a/docs/30-simple-queries/0-using-library-database.mdx b/docs/30-simple-queries/0-using-library-database.mdx index b864577..f06b5c6 100644 --- a/docs/30-simple-queries/0-using-library-database.mdx +++ b/docs/30-simple-queries/0-using-library-database.mdx @@ -5,10 +5,21 @@ import TabItem from '@theme/TabItem'; ## Select the library database -πŸ’» We'll use the `library` database. To do that, in a MongoDB shell type in: +πŸ’» We'll use the `library` database for all of the hands-on exercises in this lab. +If you haven't already, import the [library data](https://mdb.link/import-library-data) into your database cluster. - + + +Select the correct database in the Atlas UI. + + + + + + + +To do that, in a MongoDB shell type in: ```js use library @@ -20,26 +31,12 @@ You can show all collections with show collections ``` - - - -Select the correct DB in the Atlas UI - - - - - - - - - --- - πŸ¦Έβ€β™‚οΈ πŸ’» How would you switch to a database called `orders`? :::info -Extra activity, do it if you have extra time or are following at home, won't be covered during the hands-on Lab +Extra activity, do it if you have extra time or are following at home, won't be covered during the hands-on lab. :::
@@ -70,4 +67,10 @@ You can also list other databases in your MongoDB instance with ```js show databases -``` \ No newline at end of file +``` + + + + + + diff --git a/docs/30-simple-queries/1-empty-aggregation.mdx b/docs/30-simple-queries/1-empty-aggregation.mdx index 5186b08..fa3f25e 100644 --- a/docs/30-simple-queries/1-empty-aggregation.mdx +++ b/docs/30-simple-queries/1-empty-aggregation.mdx @@ -8,31 +8,28 @@ import TabItem from '@theme/TabItem'; This code is the equivalent to a `SELECT * FROM AUTHORS`. Returns a [cursor](https://www.mongodb.com/docs/manual/reference/method/js-cursor/) with all documents in the `authors` collection: - -```js -db.authors.aggregate([]) -``` + - - + - - -- Open the Aggregation tab -- Select Text entry -- Type in the aggregation pipeline: +- Open the `Aggregation` tab. +- Select `Text`. +- Notice the empty array in the editor denoting an empty aggregation pipeline: ```js [] ``` - + +```js +db.authors.aggregate([]) +``` -We can iterate over this cursor and get more documents typing `it`. +We can iterate over the returned cursor and get more documents typing `it`. πŸ’» Return all the documents in the `books` collection and iterate to get the next page of books. @@ -70,4 +67,8 @@ cursor.itcount() db.books.aggregate([]).itcount() ``` -
\ No newline at end of file + + + + + diff --git a/docs/30-simple-queries/2-match.mdx b/docs/30-simple-queries/2-match.mdx index 717f7bc..ac885e5 100644 --- a/docs/30-simple-queries/2-match.mdx +++ b/docs/30-simple-queries/2-match.mdx @@ -1,34 +1,115 @@ -# $match +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; -This is the simplest one, similar to the `WHERE` SQL clause. +# $match -Say we want all the books from 2010. We'll write: +The $match operator is used in conjunction with the aggregation framework to filter documents in a collection. It takes a document as input and returns a new document containing only the documents that match the specified criteria. The syntax for the $match operator is as follows: ```js -db.books.aggregate([{$match: {year: 2010}}]) +{ $match: { : } } ``` +## Expressions + +The `` portion of the $match operator can be any valid MongoDB expression. This includes : + +* Comparison operators: `eq`, `neq`, `gte`, `lte`, `gt`, `lt`, `in`, `nin`, `exists` +* Regular expressions: regex +* Logical operators: and, or, not +* Subdocuments and arrays: `{ field: }, [ , , ... ]` + +## Matching book documents + + + + + First, make sure you select the `books` collection in the Atlas UI. + + + Then, navigate to the `Aggregation` tab and click `Add Stage`. + + + Say we want all the books from the year 2010. We can add a `$match` stage to filter the documents from the books collection: + + ```js + [ + { + $match: { year: 2010 } + } + ] + ``` + + + + + + Say we want all the books from 2010. We'll write: + + ```js + db.books.aggregate([{$match: {year: 2010}}]) + ``` + + + + πŸ’» Return all the `books` that have exactly 100 pages.
Answer
+ + +```js +[ + { + $match: { pages: 100 } + } +] +``` + + + ```js db.books.aggregate([{$match: {pages: 100}}]) ``` + + + +
## AND -If we need to add more conditions using AND, we can do it using the `$and` operator. +If we need to add more conditions using AND, we can do it with the `$and` operator. If we want all the books with 100 pages with exactly `totalInventory` 2 we can use an `$and` operator. This takes and array of documents with all the conditions that should be true for the AND to succeed: + + +```js +[ + { + $match: { + $and: [ + { pages: 100 }, + { totalInventory: 2 } + ] + } + } +] +``` + + ```js db.books.aggregate([{$match: {$and: [{pages: 100}, {totalInventory: 2}]}}]) ``` + + + + + The pseudo-code for this would be something like: @@ -44,21 +125,61 @@ IF pages == 100 AND totalInventory == 2 { Answer
+ + +```js +[ + { + $match: { + $and: [ + { pages: 100 }, + { year: 2015 } + ] + } + } +] +``` + + ```js db.books.aggregate([{$match: {$and: [{pages: 100}, {year: 2015}]}}]) ``` + + +
-πŸ’» How many are they? (_hint: use `itcount()`_). +πŸ’» How many are they?
Answer
+ + +```js +[ + { + $match: { + $and: [ + { pages: 100 }, + { year: 2015 } + ] + } + }, + { + $count: "books_count" + } +] +``` + + ```js db.books.aggregate([{$match: {$and: [{pages: 100}, {year: 2015}]}}]).itcount() ``` + +
@@ -66,9 +187,23 @@ db.books.aggregate([{$match: {$and: [{pages: 100}, {year: 2015}]}}]).itcount() We can do an implicit AND just passing a document with all the conditions (instead of an array of documents): + + +```js +[ + { + $match: {pages: 100, totalInventory: 2} + } +] +``` + + ```js db.books.aggregate([{$match: {pages: 100, totalInventory: 2}}]) ``` + + + πŸ’» Return all the `books` from 2015 that have exactly 100 pages, using the simple $and notation @@ -76,8 +211,21 @@ db.books.aggregate([{$match: {pages: 100, totalInventory: 2}}]) Answer
+ + +```js +[ + { + $match: {pages: 100, year: 2015} + } +] +``` + + ```js db.books.aggregate([{$match: {pages: 100, year: 2015}}]) ``` + +
\ No newline at end of file diff --git a/docs/30-simple-queries/3-project.mdx b/docs/30-simple-queries/3-project.mdx index 93c1727..271315a 100644 --- a/docs/30-simple-queries/3-project.mdx +++ b/docs/30-simple-queries/3-project.mdx @@ -1,3 +1,6 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + # $project ## Including fields in a projection @@ -58,9 +61,25 @@ A document from the `books` collection looks like: If we're interested just in the titles, we can use `$project` to select just the fields we're interested in. As an example, to get just the book's title and year we'll write: + + + +```js +[ + { + $project: {title: 1, year: 1} + } +] +``` + + + ```js db.books.aggregate([{$project: {title: 1, year: 1}}]) ``` + + + - 1 means "show that field" - 0 means "hide that field" @@ -68,9 +87,23 @@ db.books.aggregate([{$project: {title: 1, year: 1}}]) So we can exclude fields and show all fields except `attributes` using: + + +```js +[ + { + $project: {attributes: 0} + } +] +``` + + ```js db.books.aggregate([{$project: {attributes: 0}}]) ``` + + + πŸ’» Show only `title` and `cover`. @@ -78,9 +111,22 @@ db.books.aggregate([{$project: {attributes: 0}}]) Answer
+ + +```js +[ + { + $project: {title: 1, cover: 1} + } +] +``` + + ```js -db.books.aggregate([{$project: {title:1, cover: 1}}]) +db.books.aggregate([{$project: {title: 1, cover: 1}}]) ``` + +
@@ -92,9 +138,23 @@ db.books.aggregate([{$project: {title:1, cover: 1}}]) Answer
+ + ```js -db.books.aggregate([{$project: {_id :0, attributes: 0, cover: 0}}]) +[ + { + $project: {_id: 0, attributes: 0, cover: 0} + } +] ``` + + +```js +db.books.aggregate([{$project: {_id: 0, attributes: 0, cover: 0}}]) +``` + + +
@@ -110,17 +170,17 @@ You can't include and exclude fields in the same projection: if you start includ For instance, this will fail: ```js -db.books.aggregate([{$project: {title:1, attributes: 0}}]) +db.books.aggregate([{$project: {title: 1, attributes: 0}}]) MongoServerError: Invalid $project :: caused by :: Cannot do exclusion on field attributes in inclusion projection ``` :::info -The only exception to this rule is the `_id` field, which we can exclude in an inclusion projection +The only exception to this rule is the `_id` field, which we can exclude in an inclusion projection. ::: ```js -db.books.aggregate([{$project: {title:1, _id: 0}}]) +db.books.aggregate([{$project: {title: 1, _id: 0}}]) ``` \ No newline at end of file diff --git a/docs/30-simple-queries/4-limiting-results.mdx b/docs/30-simple-queries/4-limiting-results.mdx index 4333ceb..fda535b 100644 --- a/docs/30-simple-queries/4-limiting-results.mdx +++ b/docs/30-simple-queries/4-limiting-results.mdx @@ -1,10 +1,24 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + # $limit If we return too many documents, but we're interested just in a few, we can limit the number of documents returned using `$limit` + + +```js +[ + { $limit: 1 } +] ``` + + +```js db.books.aggregate([{$limit: 1}]) ``` + + This returns just one document. @@ -14,8 +28,21 @@ This returns just one document. Answer
+ + + +```js +[ + { $limit: 7 } +] +``` + + ```js db.books.aggregate([{$limit: 7}]) ``` + + +
\ No newline at end of file diff --git a/docs/30-simple-queries/5-combining-them-all.mdx b/docs/30-simple-queries/5-combining-them-all.mdx index e0806d8..2f0f0b0 100644 --- a/docs/30-simple-queries/5-combining-them-all.mdx +++ b/docs/30-simple-queries/5-combining-them-all.mdx @@ -1,25 +1,69 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + # Combining stages Up until now, we've just been using one stage in the pipeline. But the power of the aggregation pipeline is that we can use many stages, and the output of one will be the input of the next. Think of it as UNIX pipes or using functional programming with `map`, `filter`, `reduce`, `flatmap`, etc. Get 10 books from 2001 with 200 pages. Show only the title and authors. + + +```js +[ + { + $match: { year: 2001, pages: 200 } + }, + { + $project: { _id: 0, title: 1, authors: 1 } + }, + { + $limit: 10 + }, +] +``` + + ```js db.books.aggregate([ {$match: {year: 2001, pages: 200}}, {$project: {_id: 0, title: 1, authors: 1}}, {$limit: 10} ]) ``` + + + -πŸ’» Get 15 books from 1985 with 150 pages. Show only the `title`, `year`, `totalInventory` and `available` books. (If you don't remember which fields we have, the sample doc is [here](/docs/simple-queries/project)) +πŸ’» Get 15 books from 1985 with 150 pages. Show only the `title`, `year`, `totalInventory` and `available` books. If you don't remember which fields we have, you can refer to [the sample document](/docs/simple-queries/project).
Answer
+ + +```js +[ + { + $match: { year: 1985, pages: 150 } + }, + { + $project: { _id: 0, title: 1, year: 1, totalInventory: 1, available: 1 } + }, + { + $limit: 15 + }, +] +``` + + + ```js db.books.aggregate([ {$match: {year: 1985, pages: 150}}, {$project: {_id: 0, title: 1, year: 1, totalInventory: 1, available: 1}}, {$limit: 15} ]) ``` + + +
diff --git a/docs/30-simple-queries/6-writing-long-pipelines.mdx b/docs/30-simple-queries/6-writing-long-pipelines.mdx index 23d9211..35477d6 100644 --- a/docs/30-simple-queries/6-writing-long-pipelines.mdx +++ b/docs/30-simple-queries/6-writing-long-pipelines.mdx @@ -2,6 +2,10 @@ Aggregation pipelines can get very long, depending on how many stages we need to run. Writing a pipeline is writing code, as you will write it using one of the many MongoDB drivers in your own language. Here we're presenting the examples using JavaScript suitable for the MongoDB Shell [mongosh](https://www.mongodb.com/docs/mongodb-shell/), but if you are writing a microservice in Rust, you'll definitely write your pipelines in Rust. +:::danger +The following syntax doesn't work in the Atlas UI aggregations editor. The editor doesn't support declaring variables. +::: + This is why we should rewrite our last pipeline like this: Get 15 books from 1985 with 150 pages. Show only the `title`, `year`, `totalInventory` and `available` books. (Sample doc [here](/docs/simple-queries/project)) @@ -45,7 +49,7 @@ As this is code, we can even add comments (starting with `//`) to our pipelines πŸ’» We can also use $gte to get the books with 150 pages or more. Check $gte syntax in the [docucumentation](https://www.mongodb.com/docs/manual/reference/operator/query/gte/) and write an aggregation pipeline to return 15 books from 1985 with more than 150 pages. Show only the `title`, `year`, `totalInventory` and `available` books. (Sample doc [here](/docs/simple-queries/project)) -_Hint: _ we'll need to use `$and` as maybe this is a bit more complex. +_Hint:_ we'll need to use `$and` as maybe this is a bit more complex.
Answer diff --git a/docs/30-simple-queries/7-repeating-stages.mdx b/docs/30-simple-queries/7-repeating-stages.mdx index 130997d..103f0b9 100644 --- a/docs/30-simple-queries/7-repeating-stages.mdx +++ b/docs/30-simple-queries/7-repeating-stages.mdx @@ -1,3 +1,6 @@ +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + # πŸ¦Έβ€β™‚οΈ Repeating stages :::info @@ -10,18 +13,47 @@ From the [Aggregation Pipelines manual](https://www.mongodb.com/docs/manual/refe > All stages except the $out, $merge, $geoNear, $changeStream, and $changeStreamSplitLargeEvent stages can appear multiple times in a pipeline. So we can repeat most stages, and do something like this to get all books from 1985 with more than 100 pages (although it can make sense or not) + + + +```js +[ + { + $match: { pages: {$gte: 100} } + }, + { + $match: { year: 1985 } + } +] +``` + + ```js db.books.aggregate([{$match: {pages: {$gte: 100}}}, {$match: {year: 1985}}]) ``` + + -πŸ’» Add several `$limt` stages at the end of the above aggregation, limiting to 1 book and see what happens +πŸ’» Add several `$limit` stages at the end of the above aggregation, limiting to 1 book and see what happens
Answer
+ + +```js +[ + {$match: {pages: {$gte: 100}}}, + {$match: {year: 2011}}, + {$limit: 1}, + {$limit: 1}, +] +``` + + ```js db.books.aggregate([ @@ -31,5 +63,9 @@ db.books.aggregate([ {$limit: 1}, ]) ``` + + + +
\ No newline at end of file diff --git a/docs/30-simple-queries/8-aggregation-options.mdx b/docs/30-simple-queries/8-aggregation-options.mdx index ae20eea..ba464e8 100644 --- a/docs/30-simple-queries/8-aggregation-options.mdx +++ b/docs/30-simple-queries/8-aggregation-options.mdx @@ -4,8 +4,12 @@ Extra activity, do it if you have extra time or are following at home, won't be covered during the hands-on Lab ::: +:::danger +The following syntax doesn't work in the Atlas UI aggregations editor. +::: + -We can pass a document to `aggregate` with some options +We can pass a document to `aggregate` with some options. ```js let options = { @@ -18,7 +22,7 @@ db.authors.aggregate([], options); πŸ’» Have a look at the [different options you can pass to the aggregate method](https://www.mongodb.com/docs/manual/reference/method/db.collection.aggregate/#mongodb-method-db.collection.aggregate). -πŸ’» Try to launch an `itcount` (a long operation) to iterate through the whole books cursor with a time limt of 10 ms: you should see the operation timing out and failing. +πŸ’» Try to launch an `itcount` (a long operation) to iterate through the whole books cursor with a time limit of 10 ms: you should see the operation timing out and failing. ```js let options = { diff --git a/package-lock.json b/package-lock.json index 7493565..bf78e98 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "aggregation-pipeline-workshop", - "version": "0.0.0", + "version": "1.0.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "aggregation-pipeline-workshop", - "version": "0.0.0", + "version": "1.0.0", "dependencies": { "@cmfcmf/docusaurus-search-local": "^1.1.0", "@docusaurus/core": "3.0.0", diff --git a/static/img/30-simple-queries/match-screenshot.png b/static/img/30-simple-queries/match-screenshot.png new file mode 100644 index 0000000000000000000000000000000000000000..1e940adda70fe7642faf3f525cfef2bebfa0556c GIT binary patch literal 175229 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