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Example Application Potion Reviews
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Conjuring MongoDB Level 1 - Section
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MongoDB Comparison to SQL SQL Mongo
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Collections Group Documents Collect
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How Do We Interact With MongoDB? Al
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Using the Shell MongoDB comes with
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Inserting a Document Into a Collect
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Finding All Potions We can use the
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Conjuring MongoDB Level 1 - Section
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Finding a Specific Potion With a Qu
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What Else Can We Store? Documents a
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Adding Price and Score We can store
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Adding a List of Ingredients Arrays
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Embedded Documents We embed documen
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Finding Potions by Ingredients Arra
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What About Insert Validations? If w
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Validations Supported by MongoDB Mo
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Mystical Modifications Level 2 - Se
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Delete a Single Document The remove
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Delete Multiple Documents If our qu
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Updating a Document We can use the
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Update Without an Operator If the u
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Recording Potion Views Time to star
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Update a Non-existing Potion If we
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Updating Once More If we run the sa
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Improving Potions We rushed a bit d
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Updating a Field Name With $rename
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The Dilemma of Updating an Array Na
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Updating Single Array Value The $se
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Updating Values Without Knowing Pos
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Shrunken Conundrum Uh-oh — the sh
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Useful Update Operators MongoDB pro
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Removing the First or Last Value of
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Adding Unique Values to an Array Th
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Materializing Potions Level 3 - Sec
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Querying With Multiple Criteria We
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Comparison Query Operators We can u
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Finding Potions Between Prices We c
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Range Queries on an Array Each poti
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Be Careful When Querying Arrays Wit
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Not Matching a Document Conversely,
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Listing Our Best Potions We’re pu
- Page 86 and 87: Excluding Fields Sometimes you want
- Page 88 and 89: Either Select or Exclude Fields Whe
- Page 90 and 91: Introducing the Cursor Whenever we
- Page 92 and 93: Continuing to Iterate Through the C
- Page 94 and 95: Sort by Price We want to implement
- Page 96 and 97: Paginating the Potions Page We only
- Page 98 and 99: Basic Pagination We can implement b
- Page 100 and 101: Morphing Models Level 4 - Section 1
- Page 102 and 103: Storing Favorites Within a User Use
- Page 104 and 105: Storing Vendor Information Each pot
- Page 106 and 107: Referencing Vendor Information Inst
- Page 108 and 109: Querying a Referenced Document In o
- Page 110 and 111: More Features of Embedded Documents
- Page 112 and 113: Referenced Documents Exist Independ
- Page 114 and 115: Dangers of Not Having Transactions
- Page 116 and 117: Choosing Which Route to Take When d
- Page 118 and 119: First Question: How Will the Data B
- Page 120 and 121: Second Question: What’s the Size
- Page 122 and 123: Third Question: Will the Data Chang
- Page 124 and 125: Embedding Comments in Potions We ca
- Page 126 and 127: Data Modeling Guidelines and Takeaw
- Page 128 and 129: Finding the Number of Potions Per V
- Page 130 and 131: Using the Aggregation Framework to
- Page 132 and 133: Field Paths Vs. Operators When valu
- Page 134 and 135: Averaging Potion Grade Per Vendor N
- Page 138 and 139: Pulling Conditional Vendor Informat
- Page 140 and 141: How the Pipeline Works Each stage m
- Page 142 and 143: Grouping Potions With Data db.potio
- Page 144 and 145: Matching Potions Under $15 Query st
- Page 146 and 147: Grouping Potions by Vendor Group st
- Page 148 and 149: Limiting the Number of Documents We
- Page 150 and 151: Projections While Aggregating We ca