Meta Integration® Model Bridge (MIMB)
"Metadata Integration" Solution

MIMB Bridge Documentation

MIMB Import Bridge from MongoDB NoSQL Database

Bridge Specifications

Vendor MongoDB
Tool Name NoSQL Database
Tool Version 3.2
Tool Web Site https://www.mongodb.org/
Supported Methodology [NoSQL Database] Multi-Model, Data Store (NoSQL / Hierarchical, Physical Data Model) via Java API

SPECIFICATIONS
Tool: MongoDB / NoSQL Database version 3.2 via Java API
See https://www.mongodb.org/
Metadata: [NoSQL Database] Multi-Model, Data Store (NoSQL / Hierarchical, Physical Data Model)
Component: MongoDB version 11.2.0

DISCLAIMER
This import bridge requires internet access to download third-party libraries:
- such as https://repo.maven.apache.org/maven2/ to download open source third-party libraries,
- and more sites for other third-party software such as database specific JDBC drivers.

The downloaded third-party libraries are stored into $HOME/data/download/MIMB/
- If HTTPS fails, the import bridge then tries with HTTP.
- If a proxy is used to access internet, you must configure that proxy in the JRE (see the -j option in the Miscellaneous parameter).
- If the import bridge does not have full access to internet, that $HOME/data/download/MIMB/ directory can be copied from another server with internet access where the command $HOME/bin/MIMB.sh (or .bat) -d can be used to download all third-party libraries used by all bridges at once.

By running this import bridge, you hereby acknowledge responsibility for the license terms and any potential security vulnerabilities from these downloaded third-party software libraries.

OVERVIEW
This import bridge establishes a connection to the MongoDB server using native Java driver in order to extract the physical metadata.

REQUIREMENTS
Bridge will assign a data type for each JSON attribute according to following samples:
'_id'
{ "$oid": "50a9c951300493f64fbffdb6" } STRING (SQL_VARCHAR)

'dateExample'
{ "$date" : "2014-01-01T05:00:00.000Z"} DATE_8 (SQL_DATE)

'isoDateExample'
{ "$date" : 1491461103897 } DATE_8 (SQL_DATE)

'timestampExample'
{ "$timestamp" : { "t" : 1412180887, "i" : 1 } } TIMESTAMP (SQL_TIMESTAMP)

'stringDateExample'
"Thu Apr 06 2017 09:41:51 GMT+0300 (FLE Standard Time)" STRING (SQL_VARCHAR)

'numberLongExample'
{ "$numberLong": "7494814965" } LONG_8 (SQL_BIGINT)

'booleanSample'
true BOOLEAN_1 (SQL_BOOLEAN)

'stringSample'
"some text" STRING (SQL_VARCHAR)

'expNumberSample'
2.99792458e8 DOUBLE_10_5 (SQL_DOUBLE)

'smallNumberSample'
-1 LONG_8 (SQL_BIGINT)

'numberSample'
3 LONG_8 (SQL_BIGINT)

'floatSample'
3.141592653589793238462643383279 DOUBLE_10_5 (SQL_DOUBLE)

'rfc7493bignumber'
"9007199254740992" STRING (SQL_VARCHAR)

'expStringSample'
"2.99792458e8" STRING (SQL_VARCHAR)

'arraySample'
[1, 2, 3] array (SQL_ARRAY)

'objectEmptySample'
{} STRING (SQL_VARCHAR)

'nullSample'
null undefined

'nullStringSample'
"null" STRING (SQL_VARCHAR)

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 troubleshooting 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 -backup option, although this common option is not implemented on all bridges for technical reasons).


Bridge Parameters

Parameter Name Description Type Values Default Scope
Connection string This parameter overrides all other connection settings. It works in conjunction with the password parameter. Five stars in a row (*****) are used as a placeholder for the password, the actual password will be provided to the driver under the hood.

Example: mongodb+srv://testuser:*****@gettingstarted.kyuw2.azure.mongodb.net/admin

Please consult with the documentation here
https://docs.mongodb.com/manual/reference/connection-string/
STRING      
Host Server URIs separated by commas. If port is not specified with a colon the default port assumed.
You can specify type of connection - either mongodb:// or mongodb+srv://. By default, bridge trying to connect with mongodb:// protocol first.

- Examples:
lolly.jess:3999,lolly-backup
localhost:8887
mongodb+srv://testhost
mongodb://testhost:27017
STRING      
User The MongoDB user name on whose behalf the connection is being made.
If not specified, anonymous will be used.
STRING      
Password The MongoDB user's password on whose behalf the connection is being made. PASSWORD      
Replica Set Replica Set name. STRING      
Authentication database Specify user authentication database. STRING   admin  
Databases Specify a list of MongoDB databases to be imported.

The list can have one or more database names separated by semicolons,
e.g. database1; database2
When value is "*" all accessible databases are imported.
REPOSITORY_SUBSET      
Collections The subset of collections to import expressed as a semicolon separated list of collections, e.g.
collection1; collection2

When value is "*" all accessible collections are imported.

Schema name patterns using the syntax rules used by the LIKE operator in SQL:

- Inclusion syntax:
using %, e.g.
A%; %B; %C%; D
- start with A or
- end with B or
- contain C or
- equal D

- Exclusion syntax:
using NOT, e.g.
A%; %B; NOT %SYS; NOT 'SYS%'
- WHERE (name like A% or name like %B)
- and (name NOT like %SYS)
- and (name NOT like 'SYS%')

- Special characters:
using single quote, e.g.
OneWord%; 'Two Words%'

- If there is percent-mark in collection name, please escape it:
name%name = name%%name

Schema name with special characters:

- If there is single quote in entity name, make sure escape it with another single quote:
col'lection -> col''lection

- If there is one of special characters [ * , ; ] in entity name or space, make sure to put name in single quotes:
col;lection -> 'col;lection'
collection ->' collection '
All characters that are in single quotes will be recognized literally.

- Start-expression means import ALL from current embeddedness level:
db.* means that all collections from db will be imported.
*.coll means that all collections named "coll" will be imported from all databases.
REPOSITORY_SUBSET      
Miscellaneous INTRODUCTION
Specify miscellaneous options starting with a dash and optionally followed by parameters, e.g.
-connection.cast MyDatabase1="MICROSOFT 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.
Note: The majority of proxies are concerned with encrypting (HTTPS) the outside (of the company) traffic and trust the inside traffic that can access proxy over HTTP. In this case, an HTTPS request reaches the proxy over HTTP where the proxy HTTPS-encrypts it.
-java.parameters -java.parameters -Dhttp.proxyHost=127.0.0.1 -Dhttp.proxyPort=3128 -Dhttp.proxyUser=user -Dhttp.proxyPassword=pass

MODEL IMPORT OPTIONS
-model.name <model name>

Override the model name, e.g.
-model.name "My Model Name"

-prescript <script name>

This option allows running a script before the bridge execution.
The script must be located in the bin directory (or as specified with M_SCRIPT_PATH in conf/conf.properties), 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"

-postscript <script name>

This option allows running a script after successful execution of the bridge.
The script must be located in the bin directory (or as specified with M_SCRIPT_PATH in conf/conf.properties), 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:
-postscript "script.bat arg1 arg2"

-cache.clear

Clears the cache before the import, and therefore will run a full import without incremental harvesting.

If the model was not changed and the -cache.clear parameter is not used (incremental harvesting), then a new version will not be created.
If the model was not changed and the -cache.clear parameter is set (full source import instead of incremental), then a new version will be created.

-backup <directory>

This option allows to save the bridge input metadata for further troubleshooting. The provided <directory> must be empty.

The primary use of this option is for data store import bridges, in particular JDBC based database import bridges.

Note that this option is not operational on some bridges including:
- File based import bridges (as such input files can be used instead)
- DI/BI repository import bridges (as the tool's repository native backup can be used instead)
- Some API based import bridges (e.g. COM based) for technical reasons.

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 option 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"="MICROSOFT SQL SERVER".
The list of supported data store connection types includes:
ACCESS
APACHE CASSANDRA
DB2/UDB
DENODO
GOOGLE BIGQUERY
HIVE
MYSQL
NETEZZA
ORACLE
POSTGRESQL
PRESTO
REDSHIFT
SALESFORCE
SAP HANA
SNOWFLAKE
MICROSOFT SQL AZURE
MICROSOFT SQL SERVER
SYBASE SQL SERVER
SYBASE AS ENTERPRISE
TERADATA
VECTORWISE
HP 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 SourcePath=DestinationPath

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 /user1/folder=hdfs://host:8020/users/user1/folder/file.csv
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 /data=/users/John -connection.map /data=/users/paul
On Windows, a given directory like C:\data can be referred to by multiple network drives like M: and N:, e.g.
-connection.map C:\data=M:\ -connection.map C:\data=N:\

-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"

-connection.level AggregationLevel

Specifies the aggregation level for the external connections, e.g.-connection.level catalog
The list of the supported values:
server
catalog
schema (default)

MONGODB OPTIONS
-samples.number <value>

Number of sample documents to be randomly drawn from each collection. The default value is 10.

-zip <filepath>

Folder to store MongoDb documents as Json files.

-hadoop

key1=val1;key2=val2 to manualy set hadoop configuration options.

-mask

Use it when do not want to provide data values, but metadata only.

-validator.description

Capture the fixed schema model based on the structure of a collection validator with field descriptions.
Starting from version 3.6, MongoDB supports the JSON Schema Validator. It will consist of a fixed schema and validation rules used for validation. The default behavior is to ignore validators.

-validator.all

Capture the fixed schema model based on the structure of a collection validator with the complete metadata provided (not just the field descriptions).
Starting from version 3.6, MongoDB supports the JSON Schema Validator. It will consist of a fixed schema and validation rules used for validation. The default behavior is to ignore validators.

-validator.collectiondescription

Capture the validator field descriptions from the validator to the JSON collection of descriptions.
Starting from version 3.6, MongoDB supports the JSON Schema Validator. It will consist of a fixed schema and validation rules used for validation. The default behavior is to ignore validators.

-debug.usesystem

Imports system collections. MongoDB stores system information in collections that use the <database>.system.* namespace, which MongoDB reserves for internal use.
By default these collections, the local database and the config database are ignored.

-connection.retries <value>

Number of retries when connecting to server.
STRING      

 

Bridge Mapping

Meta Integration Repository (MIR)
Metamodel
(based on the OMG CWM standard)
"MongoDB NoSQL Database"
Metamodel
File System (JSON Database)
Mapping Comments
     
DirectoryStructureModel Server  
Name Name  
SystemType Type  
Folder Scope, Bucket, Database, Folder  
Name Name  
StoreContent Container, Documents, Collection, File, View  
Name Name  
NativeType Type  

Meta Integration Repository (MIR)
Metamodel
(based on the OMG CWM standard)
"MongoDB NoSQL Database"
Metamodel
File System (JSON File)
Mapping Comments
     
Attribute Array, Object, Property  
Description Description  
Name Name  
StoreModel Json File  
Name Name  
NativeType File Type  

Last updated on Wed, 20 Mar 2024 17:44:18

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