Data Modeling - Series 4 X-Events
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www.dageop.com Data Modeling ® DM-04 X-Events DR. SUBRAMANI PARAMASIVAM (MANI)
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Transcript of Data Modeling - Series 4 X-Events
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Data Modeling
®
DM-04 X-Events
DR. SUBRAMANI PARAMASIVAM (MANI)
About me
Dr. SubraMANI ParamasivamPhD., MCT, MCSE, MCITP, MCP, MCTS, MCSACEO, Principal Consultant & Trainer @ DAGEOP (UK) Email: [email protected] Blog: http://dataap.org/blog
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Contents• DM-04 X-Events• Package Building• Analysing captured results
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Introduction to Data Modeling• Data Modeling is a formalization and
documentation of existing process. • Data Modeling techniques converts
complex designs to easily understandable.• Data Modeling can be thought of as
a diagram or flow chart that illustrates the relationship between data• Undergoes Normalization /
Denormalization process.
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Introduction to Data Modeling• Types Of Data Modeling• Conceptual Data Modeling (CDM) :
Identifies the highest level of relation ship between different entities• Enterprise Data Modeling (EDM) :
Similar to conceptual data Modeling but address the unique requirements of specific business• Logical Data Modeling (LDM) :
Illustrates the specific entities, Attributes and relations involved in a business function • Physical Data Modeling : much required for dB professionals
Represents an application and database specific implementation of LDM
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Physical Data Model
• Is a representation of a data design.• Includes the facilities and
constraints of a database management system
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Physical Data Model• The process of building the physical data model from Conceptual data model.• First Step : Conceptual data Model• Second Step : Logical Model• Final : Physical Data Model
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Physical Data Model• A complete physical data model will include• Physical storage
• Tables, Views, Data types• Referential Integrity
• Primary Keys, Foreign keys, Constraints, Referential Integrity• Programming
• Stored procedure, UDF, Triggers, CLR Function• Indexes• Partitioned tables
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X-Events• Event handling System
• Monitoring and Troubleshooting
• Less System Resource
• Fully Configurable and Automated
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Microsoft predicted that 20,000 events/sec on a 2 GHZ Pentium with 1 GB RAM would use less than 2% of the CPU.
X-Events
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X-Events
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SQL TRACE SQL PROFILER X-Event
Introduced in 2000 2000 2008
Server overhead Medium Low Very Low
Flexibility No No Easy
Customizable Hard Easy Very Easy
Performance Low Medium Very Fast
Server Resource High High Low
X-Events• Extended Events Engine
• Packages
• Event Session
• Dispatcher pool
Package
Event Action
Target
Predicate
Types
Maps
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Packages• It is a Container
• Totally 4 Packages are available
SELECT * FROM sys.dm_xe_packagesPackage0
Sqlos
Sqlserver
SecAudit
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Packages• Events• Monitor Trace Events• SELECT * FROM sys.dm_xe_objects WHERE object_type ='event’• 259 Events – SQL Server 2008 R2
• Actions• Describe the Event with SQL Statement text, execution plan handle.• SELECT * FROM sys.dm_xe_objects WHERE object_type = 'action‘
• Targets• Event Storing area• SELECT * FROM sys.dm_xe_objects WHERE object_type ='target'
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Packages• Predicates• Filter events before sent to targets.• SELECT * FROM sys.dm_xe_objects WHERE object_type in ('pred_compare',
'pred_source')
• Types• A simple to complex data type used in event Payload.• SELECT * FROM sys.dm_xe_objects WHERE object_type in ('type')
• Maps• Like dictionaries maps some numeric internal values to a text.• SELECT * FROM sys.dm_xe_objects WHERE object_type in ('map')
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Analysing captured results
• Capture the session targets with sys.dm_xe_session_targets
• For Example we have used target as• XML File
• Get the Long Running Query from SQL_Text Column
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Review X-Events
Package BuildingAnalysing captured results
®
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