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Diffstat (limited to 'doc/development/serializing_data.md')
| -rw-r--r-- | doc/development/serializing_data.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/development/serializing_data.md b/doc/development/serializing_data.md index f5924a44753..48e756d015b 100644 --- a/doc/development/serializing_data.md +++ b/doc/development/serializing_data.md @@ -35,7 +35,7 @@ turn there's no way to query the data at all. ## Waste Of Space Storing serialized data such as JSON or YAML will end up wasting a lot of space. -This is because these formats often include additional characters (e.g. double +This is because these formats often include additional characters (for example, double quotes or newlines) besides the data that you are storing. ## Difficult To Manage @@ -69,9 +69,9 @@ can easily take hours or even days to complete. ## Relational Databases Are Not Document Stores When storing data as JSON or YAML you're essentially using your database as if -it were a document store (e.g. MongoDB), except you're not using any of the +it were a document store (for example, MongoDB), except you're not using any of the powerful features provided by a typical RDBMS _nor_ are you using any of the -features provided by a typical document store (e.g. the ability to index fields +features provided by a typical document store (for example, the ability to index fields of documents with variable fields). In other words, it's a waste. ## Consistent Fields |