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Memproyeksikan Bidang Bertingkat dan Array

Gunakan notasi titik dan operator $slice untuk memproyeksikan bagian dari array dan subdokumen bertingkat.

Memproyeksikan Bidang Bertingkat dan Array adalah pelajaran MongoDB Academy gratis di CoddyKit. Ini adalah pelajaran 2 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar MongoDB Academy, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus MongoDB Academy mencakup 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

Projecting Nested Fields With Dot Notation

To project a specific field from an embedded sub-document, use dot notation in the projection key. For example, if a document has an address sub-document, you can project only address.city without returning the full address object. MongoDB traverses the nested path and returns only the specified leaf field, keeping the parent field wrapper in the result.

// Document shape: { name, address: { street, city, zip }, email }
const user = await db.collection('users').findOne(
  { email: 'alice@example.com' },
  { projection: { name: 1, 'address.city': 1, _id: 0 } }
);
// Result: { name: 'Alice', address: { city: 'Austin' } }
// street and zip are excluded; only city is returned inside address

Excluding Nested Fields

Just as with top-level fields, you can exclude specific nested fields while returning the rest of the sub-document. Using 'address.zip': 0 returns the entire address object except the zip field. This is useful for hiding internal-use sub-fields while exposing the rest of a nested object to the client.

// Return everything except address.zip
const user = await db.collection('users').findOne(
  { email: 'alice@example.com' },
  { projection: { 'address.zip': 0, passwordHash: 0 } }
);
// Result includes address.street and address.city but not address.zip

Array Fields in Projections

When a projected field is an array, MongoDB returns the entire array by default. If a user document has a tags array with ten elements, projecting tags: 1 returns all ten. To control how much of an array is returned, you need $slice, $, or $elemMatch—the three array-specific projection operators.

// Returns the entire tags array
const post = await db.collection('posts').findOne(
  { slug: 'intro-to-mongodb' },
  { projection: { title: 1, tags: 1, _id: 0 } }
);
// Result: { title: '...', tags: ['mongodb', 'nosql', 'tutorial', ...] }

Slicing Arrays With $slice

The $slice projection operator limits the number of array elements returned. Pass a positive integer to return the first N elements, or a negative integer to return the last N elements. You can also pass a two-element array [skip, limit] to skip a number of elements and then return the next N. $slice is the simplest way to paginate or preview array contents.

// Return only the first 3 comments from a post
db.posts.findOne(
  { slug: 'intro-to-mongodb' },
  { projection: { title: 1, comments: { $slice: 3 } } }
);

// Return the last 5 comments
db.posts.findOne(
  { slug: 'intro-to-mongodb' },
  { projection: { title: 1, comments: { $slice: -5 } } }
);

// Skip 10 comments, then return the next 5
db.posts.findOne(
  { slug: 'intro-to-mongodb' },
  { projection: { title: 1, comments: { $slice: [10, 5] } } }
);

Projecting Nested Array Sub-Fields

You can project a field inside an array of sub-documents using dot notation in an inclusion projection. For example, an orders document might have an items array where each element has productId, qty, and price. Projecting 'items.qty': 1 returns the entire items array but with only the qty field inside each element.

// Return items array with only the qty field in each element
db.orders.findOne(
  { _id: ObjectId('o1') },
  { projection: { 'items.qty': 1, 'items.productId': 1, _id: 0 } }
);
// Result:
// { items: [{ productId: ObjectId('p1'), qty: 2 }, { productId: ObjectId('p2'), qty: 1 }] }

Excluding a Nested Array Sub-Field

Similarly, you can exclude specific sub-fields from array elements. For example, an employees collection might store salary inside a compensation sub-document within each element of an array. Projecting 'positions.compensation': 0 returns the positions array with the sensitive compensation data stripped from each element.

// Exclude compensation from every element of the positions array
db.employees.findOne(
  { name: 'Alice' },
  { projection: { 'positions.compensation': 0 } }
);

Projecting Multiple Nested Paths

You can project multiple nested fields from the same sub-document or array in one projection. Each dot-notation path is independent. This composability lets you extract precisely the sub-tree of a document that your query needs, without bringing back irrelevant nested data that would inflate the response.

// Get shipping address city and order total only
db.orders.find(
  { status: 'shipped' },
  {
    projection: {
      'shippingAddress.city': 1,
      'shippingAddress.country': 1,
      total: 1,
      _id: 0
    }
  }
);

Deeply Nested Dot Notation

Dot notation can go multiple levels deep. If you have a document with meta.seo.keywords, you can project exactly that path. MongoDB will return the outer wrapper fields (meta and seo) but only include the keywords leaf, stripping all other sibling fields at each level.

// Document: { title, meta: { seo: { keywords: [...], description: '...' }, author: '...' } }
db.articles.findOne(
  { slug: 'my-article' },
  { projection: { title: 1, 'meta.seo.keywords': 1, _id: 0 } }
);
// Result: { title: '...', meta: { seo: { keywords: [...] } } }
// meta.seo.description and meta.author are excluded

Projection and Index Coverage for Nested Fields

For a query to be covered (served entirely from the index without touching documents), the projection must include only fields present in the index, including nested fields. A compound index on { 'address.city': 1, name: 1 } can cover a query that filters on address.city and projects only address.city and name (with _id: 0). Covered queries achieve the lowest possible latency.

// Create an index on nested field
db.users.createIndex({ 'address.city': 1, name: 1 });

// Covered query — both filter and projection are inside the index
db.users.find(
  { 'address.city': 'Austin' },
  { projection: { 'address.city': 1, name: 1, _id: 0 } }
).explain('executionStats');
// totalDocsExamined should be 0

$slice in Mongoose

Mongoose does not have a native $slice shorthand on the query builder, but you can pass a projection object directly. Use { fieldName: { $slice: N } } inside the Mongoose .select() call if you pass an object, or pass the projection as the second argument to .find(). The driver forwards it to MongoDB unchanged.

// Mongoose: return title and first 5 comments using $slice
const post = await Post.findOne(
  { slug: 'intro-to-mongodb' },
  { title: 1, comments: { $slice: 5 }, _id: 0 }
);

// Alternatively as a Mongoose query
const post2 = await Post
  .findOne({ slug: 'intro-to-mongodb' })
  .select({ title: 1, comments: { $slice: 5 }, _id: 0 });

Nested Projection Gotchas

A common gotcha: projecting a nested field in an array requires you to use dot notation, but MongoDB returns the full array wrapper. You cannot project individual array elements by index (e.g., items.0 doesn't filter to just the first element in the projection—use $slice: 1 for that). Also, you cannot mix projecting a parent field and a child field in the same path: either project address or address.city, not both.

Quick Check

Test your understanding of MongoDB & NoSQL Databases concepts from this lesson.

Lesson Recap

In this lesson you learned: dot notation projects specific nested fields from sub-documents and arrays, $slice limits the number of array elements returned, and projecting nested array sub-fields includes only the specified leaf inside each array element. Next up we explore the $ and $elemMatch array projections for returning a single matching element from an array.

Pertanyaan yang Sering Diajukan

Apakah pelajaran “Memproyeksikan Bidang Bertingkat dan Array” gratis?

Ya — teks lengkap “Memproyeksikan Bidang Bertingkat dan Array” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus MongoDB Academy, upgrade ke CoddyKit PRO. Kursus MongoDB Academy mencakup 4 pelajaran total.

Apa yang akan aku pelajari di “Memproyeksikan Bidang Bertingkat dan Array”?

Gunakan notasi titik dan operator $slice untuk memproyeksikan bagian dari array dan subdokumen bertingkat. Kamu berlatih MongoDB Academy dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.

Apakah aku perlu pengalaman untuk memulai MongoDB Academy?

Tidak diperlukan pengalaman sebelumnya. MongoDB Academy di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 2 dari 4.

Berapa lama pelajaran “Memproyeksikan Bidang Bertingkat dan Array” memakan waktu?

Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.

Bisakah aku menulis dan menjalankan kode dalam pelajaran MongoDB Academy ini?

Ya. Setiap pelajaran MongoDB Academy menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.

Semua pelajaran dalam kursus ini

  1. Proyeksi Inklusi vs Eksklusi
  2. Memproyeksikan Bidang Bertingkat dan Array
  3. Proyeksi Array $ dan $elemMatch
  4. Praktik Terbaik Proyeksi untuk Respons API
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