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DARSTRAN

The Innovative Evolution of The Industry-Leading CA-IDMS® Replication Toolset

  Features    
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No CA-IDMS database access is performed except to extract the CA-IDMS data for Initial Load of the target RDBMS.
  » The core DARSTRAN Replication Engine© and Journal Image Processor© have been designed and written to run on a full range of popular target platforms, including the mainframe. Common code for all platforms ensures high performance, reliablility and identical replication on all platforms.
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The core DARSTRAN Replication Engine© and Journal Image Processor© provide superior performance and reliablilty when capturing updates from the Active CV Journals. Updates are processed at COMMIT and/or FINISH and sent to the target platform using the guaranteed delivery provided by IBM's MQSeries®. Unlike some other replciation tools, No application or CA-IDMS® system modifications such as HOOKs, EXITs or DBPROCs are used that could seriously impact and/or destablize your CVs.
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The innovative design allows ISP to offer optional components to CA-IDMS® Network and CA-IDMS SQL® database users who require data replication to an RDBMS on a mainframe, Windows 2000 Server®, Windows 2003 Server® and/or AIX®/Unix/Linux based platforms. Both 32 bit and 64 bit are available where supported.
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The user may optionally generate XML to process the replicated data with a variety of third party software products.
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There is no requirement to copy the client's database files for processing off site. All CA-IDMS data processing is performed at the client's site under the client's scrutiny and security control.
   
  Components    
  DARSWIN© » Transforms CA-IDMS® Schema syntax to RDBMS DDL.
  » Addresses CA-IDMS® Schema changes that affect an already-configured DARSTRAN©.
  » Eliminates the manual updating of replication definitions after CA-IDMS® Schema changes.
  » Accepts updated Schema syntax, compares it to the original, reports on the differences and automatically incorporates the changes into the replication definition.
   
  DARSTRAN© » Provides complete data formatting on the mainframe or target platforms.
  » Reassembles and transforms Initial Load CA-IDMS® extract data and CA-IDMS® Journal images into either Fast Load syntax, SQL statements or XML.
   
  DARSLOAD© » Implemented as a Service for Windows NT® and as a Daemon for AIX®/Unix/Linux to eliminate the need for scripting on the target platform.
  » Invokes DARSTRAN© to perform the required data transformations and manages the application of the data to the target RDBMS.
  » Configurable to facilitate multiple simultaneous Initial Data Loads to greatly reduce target RDBMS run times.
  » Incorporates ERROR logging facilities.
   
  Benefits    
  Cost Savings and
  Performance
» DARSTRAN© reduces the impact on mainframe resources through highly optimized code and, optionally, by moving the Archive Journal processing to the target platform.
  » Near Real-Time target updates are achieved using the sophisticated Active Journal facility in conjunction with the speed, reliability and guaranteed message delivery of IBM'S MQSeries© software running on the mainframe and target platforms.
  » Dramatic performance improvements may be realized if the parallel processing features of DARSLOAD© are fully exploited in installations where the available CPU cycles on the target platform exceed those available on the mainframe.
  Note: Journal processing requiring decompression using CA-PRESSPACK® is only supported on the mainframe. This is a limitation of the CA-PRESSPACK® code and not DARSTRAN®.
   
  Resolution
  of SET OWNER
  Relationships
» Built-in logic dynamically computes OWNER pointer values for a SET where OWNER pointers are not defined in CA-IDMS® by using the SET’s NEXT pointer within the replica. Absolutely NO access to the CA-IDMS® application database is required to formulate the relationship.
  » Predictable response times plus elimination of “dirty reads” of the CA-IDMS® application database result in substantial performance benefits.
   
  Comprehensive
  Error Logging
» Extensive Error logging facilities.
  » Formatted for loading into an RDBMS table for query and analysis.
  » Includes logging of invalid Dates and Elements that contain data that does not match the defined Data Type.
  » Flexible error detection provides logging of information at the Schema, Record, or Element level.

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