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authorBoris Verkhovskiy <boris.verk@gmail.com>2024-04-03 02:30:27 -0700
committerGitHub <noreply@github.com>2024-04-03 02:30:27 -0700
commit6d87022050ffbd5d818781427329c5362e3df197 (patch)
tree3809b2b1a7790d8b30e6d694c575eb68f02f661c /mongodb.html.markdown
parentc76b8f690a577d9ff89947d79c36a96a7c3b4deb (diff)
parente8dabf3c1955e1a458e8bc936587ad59772a9c33 (diff)
Merge branch 'master' into patch-1
Diffstat (limited to 'mongodb.html.markdown')
-rw-r--r--mongodb.html.markdown23
1 files changed, 12 insertions, 11 deletions
diff --git a/mongodb.html.markdown b/mongodb.html.markdown
index 959b57d0..f4e7d709 100644
--- a/mongodb.html.markdown
+++ b/mongodb.html.markdown
@@ -228,7 +228,7 @@ db.engineers.update({ name: 'Foo Baz' },
)
/////////////////////// Delete /////////////////////////
-// Queries are in the form of db.collectionName.find(<filter>)
+// Queries are in the form of db.collectionName.delete(<filter>)
// Delete first document matching query, always returns deletedCount
db.engineers.deleteOne({ name: 'Foo Baz' })
@@ -252,20 +252,21 @@ db.engineers.deleteMany({ gender: 'Male' })
//////////////// Comparison Operators ///////////////////
// Find all greater than or greater than equal to some condition
-db.engineers.find({ $gt: { age: 25 }})
-db.engineers.find({ $gte: { age: 25 }})
+db.engineers.find({ age: { $gt: 25 }})
+db.engineers.find({ age: { $gte: 25 }})
// Find all less than or less than equal to some condition
-db.engineers.find({ $lte: { age: 25 }})
-db.engineers.find({ $lte: { age: 25 }})
+db.engineers.find({ age: { $lt: 25 }})
+db.engineers.find({ age: { $lte: 25 }})
// Find all equal or not equal to
// Note: the $eq operator is added implicitly in most queries
-db.engineers.find({ $eq: { age: 25 }})
-db.engineers.find({ $ne: { age: 25 }})
+db.engineers.find({ age: { $eq: 25 }})
+db.engineers.find({ age: { $ne: 25 }})
-// Find all that match any element in the array
-db.engineers.find({ age: ${ in: [ 20, 23, 24, 25 ]}})
+// Find all that match any element in the array, or not in the array
+db.engineers.find({ age: { $in: [ 20, 23, 24, 25 ]}})
+db.engineers.find({ age: { $nin: [ 20, 23, 24, 25 ]}})
//////////////// Logical Operators ///////////////////
@@ -293,7 +294,7 @@ db.engineers.find({ $not: {
// Must match none of the query conditions
db.engineers.find({ $nor [
- gender: 'Female,
+ gender: 'Female',
age: {
$gte: 18
}
@@ -400,6 +401,6 @@ features, I would look at
- Aggregation - useful for creating advanced queries to be executed by the
database
-- Idexing allows for caching, which allows for much faster execution of queries
+- Indexing allows for caching, which allows for much faster execution of queries
- Sharding allows for horizontal data scaling and distribution between multiple
machines.