Merge branch 'master' into patch-1

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.