Bridge Specifications
| Vendor | SAS |
| Tool Name | Library |
| Tool Version | 9.3 |
| Tool Web Site | https://support.sas.com/documentation/cdl/en/lrcon/62955/HTML/default/viewer.htm#a001294104.htm |
| Supported Methodology | [Relational Database] Data Store (Physical Data Model) via SPK File |
SPECIFICATIONS
Tool: SAS / Library version 9.3 via SPK File
See https://support.sas.com/documentation/cdl/en/lrcon/62955/HTML/default/viewer.htm#a001294104.htm
Metadata: [Relational Database] Data Store (Physical Data Model)
Component: SasDb version 11.0.0
OVERVIEW
This bridge imports SAS Database metadata.
REQUIREMENTS
The bridge reads the definition of Libraries and Tables from an SPK package file.
The file may contain multiple libraries of different engine types, implemented on multiple servers.
Thus you must specify the Library Engine to use and which server you wish to import from.
Please work with your SAS administrator to generate the required SPK file which must contain the proper Libraries, Servers, and Tables you wish to import.
FREQUENTLY ASKED QUESTIONS
n/a
LIMITATIONS
Refer to the current general known limitations at http://metaintegration.com/Products/MIMB/MIMBKnownLimitations.html or bundled in Documentation/ReadMe/MIMBKnownLimitations.html
SUPPORT
Provide a trouble shooting package with:
- the debug log (can be set in the UI or in conf/conf.properties with MIR_LOG_LEVEL=6)
- the metadata backup if available (can be set in the Miscellaneous parameter with option -backup)
Bridge Parameters
| Parameter Name | Description | Type | Values | Default | Scope | ||
| File | The SPK file to import from. To create a SAS Package file in SAS Management Console: 1. Connect to the metadata server. 2. Select the Folders tab. 3. Right-click the SAS Folders node, and click 'Export SAS Package'. 4. Enable the option 'Include dependent objects when retrieving initial collection of objects'. 5. Follow the wizard screens to select folders and objects of interest and create the SPK file. To create .SPK file with physical tables, etc. you may check "Include dependent objects when retrieving initial collection of objects" option while exporting the SAS package. Make sure to include the following objects required by your selection: - Libraries - Servers - Connections You can also use the ExportPackage command line utility to generate the SPK file. See this page for details: http://documentation.sas.com/?docsetId=bisag&docsetTarget=n008xsxs34mvcwn1qrgcmugpzu6i.htm&docsetVersion=9.4&locale=en |
FILE | *.spk | Mandatory | |||
| Library Engine | Specify the library engine to import. The supported engine types are: 'SAS BASE' BASE engine 'SAS LASR" Analytic engine (SASIOLA in-memory engine for input-output with LASR) For other types of engines (ORACLE, TERADATA), connecting to the source database directly is recommended. |
ENUMERATED |
|
BASE | |||
| Server | The SPK package file may contain multiple libraries of different engine types, implemented on multiple servers. Specify the server where the libraries you wish to import from are deployed. The value should match a 'ServerContext' or 'SASClientConnection' in the SPK file. You can browse this parameter to select a server available in the SPK file. |
REPOSITORY_MODEL | Mandatory | ||||
| Miscellaneous | INTRODUCTION Specify miscellaneous options starting with a dash and optionally followed by parameters, e.g. -connection.cast MyDatabase1="SQL Server" Some options can be used multiple times if applicable, e.g. -connection.rename NewConnection1=OldConnection1 -connection.rename NewConnection2=OldConnection2; As the list of options can become a long string, it is possible to load it from a file which must be located in ${MODEL_BRIDGE_HOME}\data\MIMB\parameters and have the extension .txt. In such case, all options must be defined within that file as the only value of this parameter, e.g. ETL/Miscellaneous.txt JAVA ENVIRONMENT OPTIONS -java.memory <Java Memory's maximum size> (previously -m) 1G by default on 64bits JRE or as set in conf/conf.properties, e.g. -java.memory 8G -java.memory 8000M -java.parameters <Java Runtime Environment command line options> (previously -j) This option must be the last one in the Miscellaneous parameter as all the text after -java.parameters is passed "as is" to the JRE, e.g. -java.parameters -Dname=value -Xms1G The following option must be set when a proxy is used to access internet (this is critical to access https://repo.maven.apache.org/maven2/ (and exceptionally a few other tool sites) in order to download the necessary third party software libraries. -java.parameters -Dhttp.proxyHost=127.0.0.1 -Dhttp.proxyPort=3128 -Dhttps.proxyHost=127.0.0.1 -Dhttps.proxyPort=3128 -Dhttp.proxyUser=user -Dhttp.proxyPassword=pass -Dhttps.proxyUser=user -Dhttps.proxyPassword=pass -java.executable <Java Runtime Environment full path name> (previously -jre) It can be an absolute path to javaw.exe on Windows or a link/script path on Linux, e.g. -java.executable "c:\Program Files\Java\jre1.8.0_211\bin\javaw.exe" -environment.variable <name>=<value> (previously -v) None by default, e.g. -environment.variable var2="value2 with spaces" MODEL IMPORT OPTIONS -model.name <model name> Override the model name, e.g. -model.name "My Model Name" -prescript <script name> The script must be located in the bin directory, and have .bat or .sh extension. The script path must not include any parent directory symbol (..). The script should return exit code 0 to indicate success, or another value to indicate failure. For example: -prescript "script.bat arg1 arg2" -cache.clear Clears the cache before the import, and therefore will run a full import without incremental harvesting. Warning: this is a system option managed by the application calling the bridge and should not be set by users. -backup <directory> Full path of an empty directory to save the metadata input files for further troubleshooting. DATA CONNECTION OPTIONS Data Connections are produced by the import bridges typically from ETL/DI and BI tools to refer to the source and target data stores they use. These data connections are then used by metadata management tools to connect them (metadata stitching) to their actual data stores (e.g. databases, file system, etc.) in order to produce the full end to end data flow lineage and impact analysis. The name of each data connection is unique by import model. The data connection names used within DI/BI design tools are used when possible, otherwise connection names are generated to be short but meaningful such as the database / schema name, the file system path, or Uniform Resource Identifier (URI). The following options allows to manipulate connections. These options replaces the legacy options -c, -cd, and -cs. -connection.cast ConnectionName=ConnectionType Casts a generic database connection (e.g. ODBC/JDBC) to a precise database type (e.g. ORACLE) for SQL Parsing, e.g. -connection.cast "My Database"="SQL SERVER". The list of supported data store connection types includes: ACCESS CASSANDRA DB2 DENODO HIVE MYSQL NETEZZA ORACLE POSTGRESQL PRESTO REDSHIFT SALESFORCE SAP HANA SNOWFLAKE SQL SERVER SYBASE TERADATA VECTORWISE VERTICA -connection.rename OldConnection=NewConnection Renames an existing connection to a new name, e.g. -connection.rename OldConnectionName=NewConnectionName Multiple existing database connections can be renamed and merged into one new database connection, e.g. -connection.rename MySchema1=MyDatabase -connection.rename MySchema2=MyDatabase -connection.split oldConnection.Schema1=newConnection Splits a database connection into one or multiple database connections. A single database connection can be split into one connection per schema, e.g. -connection.split MyDatabase All database connections can be split into one connection per schema, e.g. -connection.split * A database connection can be explicitly split creating a new database connection by appending a schema name to a database, e.g. -connection.split MyDatabase.schema1=MySchema1 -connection.map DestinationPath=SourcePath Maps a source path to destination path. This is useful for file system connections when different paths points to the same object (directory or file). On Hadoop, a process can write into a CSV file specified with the HDFS full path, but another process reads from a HIVE table implemented (external) by the same file specified using a relative path with default file name and extension, e.g. -connection.map hdfs://host:8020/users/user1/folder/file.csv=/user1/folder On Linux, a given directory (or file) like /data can be referred to by multiple symbolic links like /users/john and /users/paul, e.g. -connection.map /users/John=/data -connection.map /users/paul=/data On Windows, a given directory like C:\data can be referred to by multiple network drives like M: and N:, e.g. -connection.map M:\=C:\data -connection.map N:\=C:\data -connection.casesensitive ConnectionName Overrides the default case insensitive matching rules for the object identifiers inside the specified connection, provided the detected type of the data store by itself supports this configuration (e.g. Microsoft SQL Server, MySql etc.), e.g. -connection.casesensitive "My Database" ETL POST PROCESSING OPTIONS These options are available on all ETL/DI tools and scripting import bridges in order to: - Process all SQL parsing - Build run time models from design models and runtime variables - Calculate run time summary lineage -etl.summary.add.ultimate (previously -ppus) Adds the ultimate runtime lineage summary (may generate a very large model). -etl.summary.only.ultimate (previously -ppsp) Only produces the ultimate runtime lineage summary (may generate a very large model). -etl.connections.add.internal.design (previously -pppd) Adds the internal ETL design data connectors (needed for ETL conversion). -etl.connections.remove.input (previously -ri) Removes all input (source) data connections (to reduce the size of the generated model). |
STRING |
Bridge Mapping
Mapping information is not available