MongoDB and RDBMS

Mar 1, 20123 likes746 views

The document compares and contrasts features of relational database management systems (RDBMS) and MongoDB. It outlines key areas such as layering, engines, data structures, schemas, indexing, updating, transactions, and security. For each topic, it provides examples of how data would be represented in RDBMS and MongoDB databases. The document concludes by looking forward to upcoming features in MongoDB like improved aggregation, full text indexing, and geospatial capabilities.

>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'}
]

$>layerisms > db.rdbms.find({_id:'layerisms'}); { "_id" : "layerisms", "tiers" : [ "App", "Service", "DB" ], "dblogic" : { "exists" : true } } > db.mongo.find({_id:'layerisms'}); { "_id" : "layerisms", "tiers" : [ "App", "Service", "DB" ], "dblogic" : { "exists" : false } } // practice: let your service layer do the logic.$

$>engine > db.rdbms.find({_id:'engine'}); { "_id" : "engine", "language" : [ "C++", "C", "Other?" ] } > db.mongo.find({_id:'engine'}); { "_id" : "engine", "language" : "C++" } // hardly the issue. // performance due to other factors$

$>dataStructure > db.rdbms.find({_id:'dataStructure'}); { "_id" : "dataStructure", "type" : [ "BTree", "Hashset", "bitmap" ] } > db.mongo.find({_id:'dataStructure'}); { "_id" : "dataStructure", "type" : "BTree" } // MongoDB has very low memory mgmt overhead. Most RDBMS do more memory mgmg$

$>schema > db.rdbms.find({_id:'schema'}); { "_id" : "schema", "_" : { "schama" : true, "tables" : true, "udt" : true, "types" : [ "sql types", "native" ], "namespace" : true } } > db.mongo.find({_id:'schema'}); { "_id" : "schema", "_" : { "schema" : false, "tables" : false, "udt" : false, "types" : [ "BSON" ], "namespace" : true } } // Most significant. This is why dev loves NoSql. // Good drivers alleviate need for ORM.$

$>index > db.rdbms.find({_id:'index'}); { "_id" : "index", "pk" : "auto", "ak" : true, "subObject" : false, "fulltext" : "*", "array" : false } > db.mongo.find({_id:'index'}); { "_id" : "index", "pk" : "auto", "ak" : true, "subObject" : true, "fulltext" : false* , "array" : true } // fulltext = think lucene, not regex. // may be coming to MongoDB$

$>update > db.rdbms.find({_id:'update'}); { "_id" : "update", "multirecord" : true, "singlerecord" : true, "atomic" : "*", "fluent" : true, "crosstable" : true } > db.mongo.find({_id:'update'}); { "_id" : "update", "multirecord" : true, "singlerecord" : true, "atomic" : "*", "fluent" : true, "crosstable" : false } // the existance of cross-table cross-record locks is a major source of RDBMS slowness$

$>transaction > db.rdbms.find({_id:'transaction'}); { "_id" : "transaction", "crossRecord" : true, "optimistic" : true, "pessimistic" : true } > db.mongo.find({_id:'transaction'}); { "_id" : "transaction", "crossRecord" : false, "optimistic" : "dev", "pessimistic" : false } // RDBMS let you choose consistency model. // MongoDB supports optimistic model with update syntax.$

$>security > db.rdbms.find({_id:'security'}); { "_id" : "security", "transport" : true, "identity" : true, "objectLevel" : true } > db.mongo.find({_id:'security'}); { "_id" : "security", "transport" : false, "identity" : true, "objectLevel" : false } // RDBMS offer schema level security. // MongoDB has no schema: r, rw$

Looking forward to
Aggregation++
Full text index
Geo++

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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..

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