Amazon Web Services (AWS) Glue ETL (via Apache Spark) - Import - Cloud

Talend Cloud Data Catalog Bridges

author
Talend Documentation Team
EnrichVersion
Cloud
EnrichProdName
Talend Cloud
EnrichPlatform
Talend Data Catalog

Bridge Specifications

Vendor Amazon
Tool Name AWS Glue ETL (via Apache Spark)
Tool Version Spark 2.x
Tool Web Site https://aws.amazon.com/glue/
Supported Methodology [Data Integration] Multi-Model, Data Store (Physical Data Model), (Source and Target Data Stores, Transformation Lineage, Expression Parsing) via Spark with Python or Scala File
Data Profiling
Remote Repository Browsing for Model Selection
Incremental Harvesting
Multi-Model Harvesting

SPECIFICATIONS
Tool: Amazon / AWS Glue ETL (via Apache Spark) version Spark 2.x via Spark with Python or Scala File
See https://aws.amazon.com/glue/
Metadata: [Data Integration] Multi-Model, Data Store (Physical Data Model), (Source and Target Data Stores, Transformation Lineage, Expression Parsing)
Component: ApacheSparkImport.AmazonGlueETL version 11.0.0

OVERVIEW
The purpose of this Apache Spark import bridge is to detect and parse all Spark statements from the Python or Scala scripts
in order to generate the exact scope (data models) of the involved source and target data stores,
as well as the data flow lineage and impact analysis (data integration ETL/ELT model) between them.

REQUIREMENTS
In Amazon AWS Glue Console, go to ETL / Jobs area where you can find all the ETL scripts.
Each of them are marked with a Type (e.g. Spark), ETL Language (e.g. Python),
and a Script Location showing where they are stored (by default on S3).
This bridge can import these scripts downloaded from S3 into local directories passed as a parameter of this bridge.

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
Directory Select a directory with the textual files that contain the code to import. DIRECTORY     Mandatory
Code Language Select the language. ENUMERATED
Python
Scala
Python  
Directory Filter Specify a search filter for the sub directories. Use regular expressions in java format if needed (e.g. '.*_script'). Multiple conditions can be defined by using a space as a separator (e.g. 'directory1 directory2'). The condition must be escaped with double quotes if it contains any spaces inside (e.g. \"my directory\"). Negation can be defined with the preceeding dash character (e.g. '-bin'). STRING      
File Filter Specify a search filter for files. Use regular expressions in java format if needed (e.g. '.*\\.py'). Multiple conditions can be defined by using a space as a separator (e.g. 'file1 file2'). The condition must be escaped with double quotes if it contains any spaces inside (e.g. \"my file.py\"). Negation can be defined with the preceeding dash character (e.g. '-\\.tar\\.gz'). STRING      
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
-m <Java Memory's maximum size>
1G by default on 64bits JRE or as set in conf/conf.properties, e.g.
-m 8G
-m 8000M

-j <Java Runtime Environment command line options>
This option must be the last one in the Miscellaneous parameter as all the text after -j is passed "as is" to the JRE, e.g.
-j -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.
-j -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

-jre <Java Runtime Environment full path name>
It can be an absolute path to javaw.exe on Windows or a link/script path on Linux, e.g.
-jre "c:\Program Files\Java\jre1.8.0_211\bin\javaw.exe"

-v <Environment variable value>
None by default, e.g.
-v var1=value1 -v 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

-pppd
Create the connections and connection data sets in DI/ETL design models. This feature should only be used when intending to export to another DI/ETL tool.

APACHE SPARK OPTIONS
-e <encoding>
This value will be used to load text from the specified script files. By default, UTF-8 will be used. E.g.
-e UTF-16
-e UTF-16BE
-e US-ASCII

-p <path name>
Full path to the yaml file that defines all the entry points for the scripts to parse as well as their input parameters. The new template will be generated automatically if the file doesn't exist. Use double quotes in order to escape the path that contains spaces.
STRING      

 

Bridge Mapping

Mapping information is not available