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Managing etl with microsoft sql server integration services


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Managing etl with microsoft sql server integration services

  1. 1. Why ColdFusion isn’t the best tool in your toolbelt
  2. 2. • Manager of Data and Development for Data Diver Technologies in Chandler, AZ • Managed the Phoenix CFUG • I’ve worked with ColdFusion and SQL Server since the late 90’s • Hates CCS front end work and CSS hates me • How to find me on the Interwebs: • Email: Twitter: @cf_coder
  3. 3. • Extract, Transform and Load • Can be data from many types of sources • Flat Text files, Excel, XML, Other Databases • Destinations can also vary • Cubes, Flat Text Files, Excel, XML, Other Databases • Basic Process • Get Data, Mess with it and Stuff it somewhere else
  4. 4. • Familiarity with platform is tempting • Inherently Slow • Reads and Transforms data Line by line • “Line by line” kills performance • Doesn’t take advantage of processes inherent in the DB platform for bulk data processing
  5. 5. • Native database functionality for bulk data • BCP : Bulk Copy Process • Clunky • Requires Command Text files • Run from command line or Powershell • Import Data Wizard (SQL Server) • One off Imports, no transformations
  6. 6. • SQL Server Integration Services (SSIS) • Runs in BIDS • Business Intelligence Development Studio • Multiple inputs and outputs • Workflow and process based • Scriptable and dynamic inputs
  7. 7. • Starting up the environment • Project Based • Can open just files, but projects allow for more options. • Integration with source control • SVN (Tortise and VisualSVN)/GIT/Others
  8. 8. Project Deployment Models •Package Deployment Model • Stores packages in a disk based folder structure •Project Deployment Model • Deploys packages to a special database •Either model can be run outside of BIDS.
  9. 9. • Connection Managers • These will set up the input/output files and database connections. • Can be set at project or package level. • Create DB Connection • Create Connections to any Files • Can create new files for output or input
  10. 10. • Workflow using Pre-Built Components • Lots of options • Get Files, run commands, loop over things • Primarily Execute SQL and Data Flow Tasks • Connectors • Go/No Go, evaluation, data viewers • Red connectors re-direct on error.
  11. 11. • Variables • Create at the package level • Set at the component level • Uses most Basic Types of variable classes • Ints, Strings, Booleans, Dates and Objects • Objects are typically Recordsets but can also be Arrays and COM objects.
  12. 12. • File Connections • Multi-File pulls from Directories • QUERY Result sets • Web Services • OLEDB/ODBC Connections Getting Data Into Your Package
  13. 13. • FTP Component • Built in and very simple • Does not do advanced FTP functions • HTTP File Requests • No built in component for this • Use Script or Command Line (wget)
  14. 14. 4/10/14 • Data Flow Task • Heavy lifting of getting data from A to B • Utilizes the pre-defined connections • Can create them on the fly if necessary • Can transform data in the pipeline en-route to the destination tables/files
  15. 15. 4/10/14 • Change the data in the pipeline • Can be helpful if you’re not a SQL person • Editors make choosing transformations easy • Performance can be impacted • Anything that impedes the pipeline slows the data transfer process down. • Becomes a larger issue with larger datasets
  16. 16. 4/10/14 • Component Level Errors • Can Redirect Flow to another path • Allows for cleanup of temp tables/files, send Email to administrator • Data Flow Errors • Redirection of Bad Rows to an Error File • Can trap General or Truncation Errors.
  17. 17. • For and For Each Containers • For Containers are basically count loopers • For Each Containers • Loops over files, arrays, and objects • Must be used with Variables • Great way to deal with sequential files
  18. 18. • The Marketing Database of Choice! • Not terribly difficult to work with • Data is in UTF-8 format, Nvarchar → Varchar • Need special connection parameters to skip top level rows • Make Sure project Debug Options set to 32-bit
  19. 19. • Report Format (multi-row records) • Most difficult format to work with • Conditional Split Transformer • Built in and works with the pipeline • Cursor and String Parsing • Allows for keeping rows grouped with IDs
  20. 20. • XML • You must have a DTD • SSIS will create one for you • Data is in UTF-8 format • Either Transform to VARCHAR or use NVARCHAR for result
  21. 21. • Cannot call packages directly from ColdFusion • Run manually through BIDS (easiest) • SQL Agent - Scheduler for SQL Server • Options for the Agent • Run the Agent on a schedule and look for work • Set up the Agent task and then execute via TSQL
  22. 22. Executing a SQL Agent Job from TSQL You need to be in MSDB to run the Agent. Access to MSDB limited to SysAdmin roles. USE msdb ; GO EXEC dbo.sp_start_job N'AgentTaskName' ; GO
  23. 23. • Data Validation – Delay Validation “YES” • SSIS will check for existence of Tables/Files. • Create temp tables beforehand or turn off. • Excel Files • Must use 32-bit debug execution mode. • Data Type conversions • Try importing to VARCHARs and convert afterwards if needed.
  24. 24. • Learn SQL String Manipulation! • This is the toughest aspect of dealing with text files and textual data. • Very limited number of functions to use • Left(), Right, Substring(), Len() • CharIndex() and PatIndex() • String Length Math
  25. 25. • Temp Tables • Where is TempDB? • #Table vs. ##Table vs. Temp_Table • Usage as part of aggregate queries • Make sure you have enough space for TempDB operations. • When dealing with large data sets, TempDB can get very large very fast.