the-magical-marvels-of-mongodb-slides

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Second Question: What’s the Size of the Data? The size of the data in a relationship has a significant impact on data modeling. It’s crucial to think ahead! Expected Size Less than 100 More than a few hundred Thousands Embed ✔ ✔ Reference ✔ ✔ Might start to see a decline in read performance when embedded
Data Size: Potion Reviews Embedding Potion Reviews Invisibility Score: 70 Taste: 4 Strength: 1 Referencing When the data size is over 100, we can consider referencing Comments I don't agree. You are wrong. -Sauron Most potions won’t get more than 50 comments, and each comment has a single author
Page 2 and 3:
Example Application Potion Reviews
Page 4 and 5:
Conjuring MongoDB Level 1 - Section
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MongoDB Comparison to SQL SQL Mongo
Page 8 and 9:
Collections Group Documents Collect
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How Do We Interact With MongoDB? Al
Page 12 and 13:
Using the Shell MongoDB comes with
Page 14 and 15:
Inserting a Document Into a Collect
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Finding All Potions We can use the
Page 18 and 19:
Conjuring MongoDB Level 1 - Section
Page 20 and 21:
Finding a Specific Potion With a Qu
Page 22 and 23:
What Else Can We Store? Documents a
Page 24 and 25:
Adding Price and Score We can store
Page 26 and 27:
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
Page 68 and 69:
Adding Unique Values to an Array Th
Page 70 and 71: Materializing Potions Level 3 - Sec
Page 72 and 73: Querying With Multiple Criteria We
Page 74 and 75: Comparison Query Operators We can u
Page 76 and 77: Finding Potions Between Prices We c
Page 78 and 79: Range Queries on an Array Each poti
Page 80 and 81: Be Careful When Querying Arrays Wit
Page 82 and 83: Not Matching a Document Conversely,
Page 84 and 85: 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 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 136 and 137: Using $max and $min Together Name:
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
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