![>outline();
[
{'layerisms': 'where is your app?'},
{'engine': 'notes about engine'},
{'dataStructure': 'internals data structures'},
{'schema': 'less and more'},
{'index': 'type and applicability'},
{'update': 'semantics and mechanics'},
{'transaction': 'dread no more'},
{'security': 'just a touch'}
]](https://image.slidesharecdn.com/mongodbandrdbms-120301111425-phpapp01/85/MongoDB-and-RDBMS-2-320.jpg)
![>layerisms
> db.rdbms.find({_id:'layerisms'});
{ "_id" : "layerisms", "tiers" : [ "App", "Service",
"DB" ], "dblogic" : { "exists" : true } }
> db.mongo.find({_id:'layerisms'});
{ "_id" : "layerisms", "tiers" : [ "App", "Service",
"DB" ], "dblogic" : { "exists" : false } }
// practice: let your service layer do the logic.](https://image.slidesharecdn.com/mongodbandrdbms-120301111425-phpapp01/85/MongoDB-and-RDBMS-3-320.jpg)
![>engine
> db.rdbms.find({_id:'engine'});
{ "_id" : "engine", "language" : [ "C++", "C",
"Other?" ] }
> db.mongo.find({_id:'engine'});
{ "_id" : "engine", "language" : "C++" }
// hardly the issue.
// performance due to other factors](https://image.slidesharecdn.com/mongodbandrdbms-120301111425-phpapp01/85/MongoDB-and-RDBMS-4-320.jpg)
![>dataStructure
> db.rdbms.find({_id:'dataStructure'});
{ "_id" : "dataStructure", "type" : [ "BTree",
"Hashset", "bitmap" ] }
> db.mongo.find({_id:'dataStructure'});
{ "_id" : "dataStructure", "type" : "BTree" }
// MongoDB has very low memory mgmt
overhead. Most RDBMS do more memory mgmg](https://image.slidesharecdn.com/mongodbandrdbms-120301111425-phpapp01/85/MongoDB-and-RDBMS-5-320.jpg)
![>schema
> db.rdbms.find({_id:'schema'});
{ "_id" : "schema", "_" : { "schama" : true,
"tables" : true, "udt" : true, "types" : [ "sql
types", "native" ], "namespace" : true } }
> db.mongo.find({_id:'schema'});
{ "_id" : "schema", "_" : { "schema" : false,
"tables" : false, "udt" : false, "types" : [ "BSON"
], "namespace" : true } }
// Most significant. This is why dev loves NoSql.
// Good drivers alleviate need for ORM.](https://image.slidesharecdn.com/mongodbandrdbms-120301111425-phpapp01/85/MongoDB-and-RDBMS-6-320.jpg)
MongoDB and RDBMS
- 1. RDBMS / MongoDB Nuri Halperin Feb 2012
- 2. >outline(); [ {'layerisms': 'where is your app?'}, {'engine': 'notes about engine'}, {'dataStructure': 'internals data structures'}, {'schema': 'less and more'}, {'index': 'type and applicability'}, {'update': 'semantics and mechanics'}, {'transaction': 'dread no more'}, {'security': 'just a touch'} ]
- 3. >layerisms > db.rdbms.find({_id:'layerisms'}); { "_id" : "layerisms", "tiers" : [ "App", "Service", "DB" ], "dblogic" : { "exists" : true } } > db.mongo.find({_id:'layerisms'}); { "_id" : "layerisms", "tiers" : [ "App", "Service", "DB" ], "dblogic" : { "exists" : false } } // practice: let your service layer do the logic.
- 4. >engine > db.rdbms.find({_id:'engine'}); { "_id" : "engine", "language" : [ "C++", "C", "Other?" ] } > db.mongo.find({_id:'engine'}); { "_id" : "engine", "language" : "C++" } // hardly the issue. // performance due to other factors
- 5. >dataStructure > db.rdbms.find({_id:'dataStructure'}); { "_id" : "dataStructure", "type" : [ "BTree", "Hashset", "bitmap" ] } > db.mongo.find({_id:'dataStructure'}); { "_id" : "dataStructure", "type" : "BTree" } // MongoDB has very low memory mgmt overhead. Most RDBMS do more memory mgmg
- 6. >schema > db.rdbms.find({_id:'schema'}); { "_id" : "schema", "_" : { "schama" : true, "tables" : true, "udt" : true, "types" : [ "sql types", "native" ], "namespace" : true } } > db.mongo.find({_id:'schema'}); { "_id" : "schema", "_" : { "schema" : false, "tables" : false, "udt" : false, "types" : [ "BSON" ], "namespace" : true } } // Most significant. This is why dev loves NoSql. // Good drivers alleviate need for ORM.
- 7. >index > db.rdbms.find({_id:'index'}); { "_id" : "index", "pk" : "auto", "ak" : true, "subObject" : false, "fulltext" : "*", "array" : false } > db.mongo.find({_id:'index'}); { "_id" : "index", "pk" : "auto", "ak" : true, "subObject" : true, "fulltext" : false* , "array" : true } // fulltext = think lucene, not regex. // may be coming to MongoDB
- 8. >update > db.rdbms.find({_id:'update'}); { "_id" : "update", "multirecord" : true, "singlerecord" : true, "atomic" : "*", "fluent" : true, "crosstable" : true } > db.mongo.find({_id:'update'}); { "_id" : "update", "multirecord" : true, "singlerecord" : true, "atomic" : "*", "fluent" : true, "crosstable" : false } // the existance of cross-table cross-record locks is a major source of RDBMS slowness
- 9. >transaction > db.rdbms.find({_id:'transaction'}); { "_id" : "transaction", "crossRecord" : true, "optimistic" : true, "pessimistic" : true } > db.mongo.find({_id:'transaction'}); { "_id" : "transaction", "crossRecord" : false, "optimistic" : "dev", "pessimistic" : false } // RDBMS let you choose consistency model. // MongoDB supports optimistic model with update syntax.
- 10. >security > db.rdbms.find({_id:'security'}); { "_id" : "security", "transport" : true, "identity" : true, "objectLevel" : true } > db.mongo.find({_id:'security'}); { "_id" : "security", "transport" : false, "identity" : true, "objectLevel" : false } // RDBMS offer schema level security. // MongoDB has no schema: r, rw
- 11. Looking forward to Aggregation++ Full text index Geo++ I love quartely releases..