---
title: "antipattern examples"
description: "**Bad** — `$exists: true` on a regular index still requires a document fetch:"
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/antipattern-examples
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:07:38.167Z
license: CC-BY-4.0
attribution: "antipattern examples — Claudary (https://claudary.paisolsolutions.com/skills/antipattern-examples)"
---

# antipattern examples
**Bad** — `$exists: true` on a regular index still requires a document fetch:

## Overview

## $exists on Regular Index vs. Sparse Index

**Bad** — `$exists: true` on a regular index still requires a document fetch:

```javascript
db.collection.createIndex({ a: 1 })
db.collection.find({ a: { $exists: true } })
// Cannot efficiently answer — null semantics require checking each document
```

**Good** — Use a sparse index, which only contains entries where the field exists:

```javascript
db.collection.createIndex({ a: 1 }, { sparse: true })
db.collection.find({ a: { $exists: true } })
// Answered directly from the index — no document fetch needed
```

**Why:** Regular indexes store `null` for both missing and existing fields that are set to `null`, so `$exists` can't be answered from the index alone. Sparse indexes only store entries for documents where the field exists.

## Unanchored $regex vs. Anchored $regex

**Bad** — Unanchored case insensitive regex cannot use the index efficiently:

```javascript
db.collection.find({ name: { $regex: /smith/i } })
// Full index or collection scan — case-insensitive, not anchored
```

**Good** — Anchored, case-sensitive regex uses the index as a range query:

```javascript
db.collection.find({ name: { $regex: /^Smith/ } })
// Efficient index range scan on the "Smith" prefix
```

**Why:** Indexes store values in sorted order. Only a left-anchored, case-sensitive `$regex` can be converted into an efficient index range scan. For case-insensitive matching, use a case-insensitive collation index instead.

## $where / JavaScript vs. Native MQL Operators

**Bad** — Server-side JavaScript execution:

```javascript
db.collection.find({
  $where: "this.price * this.quantity > 1000"
})
```

**Good** — Native aggregation expression:

```javascript
db.collection.find({
  $expr: { $gt: [{ $multiply: ["$price", "$quantity"] }, 1000] }
})
```

**Why:** JavaScript executed on the server is always slower than native MQL, cannot use indexes. It's also a security risk and is deprecated. Use `$expr` with aggregation operators instead.

## In-Memory Sort vs. Index-Supported Sort

**Bad** — Sort on an unindexed field triggers in-memory sort:

```javascript
db.orders.find({ status: "processing" }).sort({ createdAt: -1 })
// Index: { status: 1 } — sort is done in memory
```

**Good** — Compound index supports both filter and sort:

```javascript
db.orders.createIndex({ status: 1, createdAt: -1 })
db.orders.find({ status: "processing" }).sort({ createdAt: -1 })
// No SORT stage in the plan — results come pre-sorted from the index
```

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/antipattern-examples) · https://claudary.paisolsolutions.com