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$push dan $addToSet: Membangun Array dalam Kelompok

Peserta didik akan mengumpulkan nilai dari dokumen yang dikelompokkan ke dalam array dan menghapus duplikatnya dengan $addToSet.

$push dan $addToSet: Membangun Array dalam Kelompok 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.

Collecting Values Into Arrays

When grouping documents, sometimes you want to collect individual field values into an array rather than compute a numeric aggregate. MongoDB provides two accumulators for this: $push and $addToSet. Both build an array result from grouped documents, but they differ in how they handle duplicate values. These accumulators are essential for producing denormalized or grouped results.

$push: Collecting All Values

$push appends the specified expression value to an array for every document in the group. It preserves duplicates—if multiple documents share the same value, that value will appear multiple times in the resulting array. The order of elements in the array corresponds to the order documents were processed, which may vary unless you sort before grouping.

db.orders.aggregate([
  {
    $group: {
      _id: '$customerId',
      // Collect all product IDs ordered by this customer
      orderedProducts: { $push: '$productId' },
      orderDates: { $push: '$createdAt' }
    }
  }
])

$addToSet: Collecting Unique Values

$addToSet works like $push except it deduplicates—each unique value is added to the array only once. The resulting array contains no repeated elements, similar to a mathematical set. The order of elements in the output is not guaranteed when using $addToSet, so do not depend on element ordering. Use it when you need a distinct list of values per group.

db.logs.aggregate([
  {
    $group: {
      _id: {
        year: { $year: '$timestamp' },
        month: { $month: '$timestamp' }
      },
      // Unique users who logged in this month
      uniqueUsers: { $addToSet: '$userId' },
      // Every event type including duplicates
      allEvents: { $push: '$eventType' }
    }
  }
])

Pushing Embedded Objects

You can $push entire subdocuments or computed objects, not just scalar values. By constructing an object expression, you can collect multiple fields from each document into a structured array element. This is useful for creating summary records that embed the details of each contributing document.

db.orders.aggregate([
  {
    $group: {
      _id: '$customerId',
      orderHistory: {
        $push: {
          orderId: '$_id',
          amount: '$amount',
          status: '$status',
          date: '$createdAt'
        }
      }
    }
  }
])

Combining $push With $sort

Because the order of elements in a $push array depends on document processing order, you should add a $sort stage before $group when the order of the collected array matters. For example, to collect orders in chronological order within each customer group, sort by date first. Note that sorting before $group prevents MongoDB from using many index optimizations, so consider the performance trade-off.

db.orders.aggregate([
  // Sort by date first so $push produces ordered arrays
  { $sort: { createdAt: 1 } },
  {
    $group: {
      _id: '$customerId',
      ordersInChronologicalOrder: {
        $push: {
          orderId: '$_id',
          date: '$createdAt',
          amount: '$amount'
        }
      }
    }
  }
])

Document Size Limits and Array Growth

MongoDB documents have a 16 MB size limit. When using $push in a $group stage, the resulting document could exceed this limit if a group contains many documents or if each pushed value is large. This is a runtime error, not a schema error. Mitigate this by filtering data before grouping, projecting only needed fields into $push, or using $limit combined with $sort to push only top-N items.

// Safe pattern: project only needed fields before pushing
db.events.aggregate([
  { $match: { year: 2024 } },
  {
    $project: {
      userId: 1,
      eventType: 1  // exclude large 'payload' field
    }
  },
  {
    $group: {
      _id: '$userId',
      events: { $push: '$eventType' }
    }
  }
])

Using $addToSet for Unique Tag Collections

A classic use case for $addToSet is aggregating unique tags or categories across documents in a group. For example, finding all unique skill tags across all job postings from each company, or all unique product categories purchased by each customer. The deduplication happens entirely server-side without requiring application-level filtering.

db.jobPostings.aggregate([
  {
    $group: {
      _id: '$companyId',
      uniqueSkills: { $addToSet: '$requiredSkills' },
      totalPostings: { $sum: 1 }
    }
  },
  { $sort: { totalPostings: -1 } }
])

Checking Array Size With $size in $project

After collecting values with $push or $addToSet, you often want to know how many items ended up in the array. Use $size in a subsequent $project or $addFields stage to compute the array length. You can also filter groups by array size using $match with $expr and $size.

db.orders.aggregate([
  {
    $group: {
      _id: '$customerId',
      products: { $addToSet: '$productId' }
    }
  },
  {
    $addFields: {
      uniqueProductCount: { $size: '$products' }
    }
  },
  // Only customers who bought 3 or more unique products
  { $match: { uniqueProductCount: { $gte: 3 } } }
])

Unwinding After Grouping

Sometimes you need to reverse a $push—take the grouped array and expand it back into individual documents for further processing. The $unwind stage does exactly this. A common pattern is: $group with $push to consolidate → $project to transform → $unwind to expand → further $group or $match to refine results.

db.orders.aggregate([
  { $group: { _id: '$customerId', products: { $push: '$productId' } } },
  // Expand back into per-product documents
  { $unwind: '$products' },
  // Now further filter or group by product
  {
    $group: {
      _id: '$products',
      customerCount: { $sum: 1 }
    }
  },
  { $sort: { customerCount: -1 } }
])

Real-World Pattern: User Activity Summary

A common production pattern is building a user activity summary document by grouping log events. Using $push and $addToSet together, you can generate a document that contains all event timestamps (ordered array via $push), all unique pages visited (deduped via $addToSet), and a total event count—all in one aggregation pass.

db.pageViews.aggregate([
  { $sort: { timestamp: 1 } },
  {
    $group: {
      _id: '$userId',
      visitTimestamps: { $push: '$timestamp' },
      uniquePages: { $addToSet: '$page' },
      totalVisits: { $sum: 1 }
    }
  },
  {
    $addFields: {
      uniquePageCount: { $size: '$uniquePages' }
    }
  }
])

$push vs $addToSet Comparison

To choose between $push and $addToSet, ask: do duplicates matter? Use $push when you need all values including repeats (e.g., event log, purchase history). Use $addToSet when you need only distinct values (e.g., unique tags, distinct pages visited). Remember that $addToSet does not guarantee any particular order of elements in the resulting array, while $push preserves insertion order relative to the pipeline input.

// $push — all values, order preserved
{ $push: '$tag' }  // ['mongodb', 'nosql', 'mongodb', 'database']

// $addToSet — unique values only, order not guaranteed
{ $addToSet: '$tag' }  // ['mongodb', 'database', 'nosql']

Quick Check

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

Lesson Recap

In this lesson you learned: $push collects all values including duplicates into an array, $addToSet collects only unique values with no guaranteed order, and both can push complex subdocuments and must respect the 16 MB document size limit. Next up we explore $first, $last, and the $top/$bottom accumulators for picking single documents per group.

Pertanyaan yang Sering Diajukan

Apakah pelajaran “$push dan $addToSet: Membangun Array dalam Kelompok” gratis?

Ya — teks lengkap “$push dan $addToSet: Membangun Array dalam Kelompok” 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 “$push dan $addToSet: Membangun Array dalam Kelompok”?

Peserta didik akan mengumpulkan nilai dari dokumen yang dikelompokkan ke dalam array dan menghapus duplikatnya dengan $addToSet. 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.

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Semua pelajaran dalam kursus ini

  1. $sum, $avg, $min, $max: Agregasi Numerik
  2. $push dan $addToSet: Membangun Array dalam Kelompok
  3. Akumulator $first, $last, dan $top/$bottom
  4. Fungsi Jendela dengan $setWindowFields
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