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ELT Redshift Account

ELT Redshift Account

Owned by Anand Vedam
Last updated: May 09, 2024 by Gouri Bhagchandani (Deactivated)

Overview

You can use the ELT Database Account to connect to a Redshift target database. The cloud location where the database is hosted is indicated in the JDBC URL for Redshift—jdbc:redshift://<redshift-cluster-name>.<company>.<region>.redshift.amazonaws.com.

The ELT Snap Pack does not support mixed accounts from different types of databases in the same Pipeline. For example, a Pipeline in which some Snaps are connecting to the Redshift target database cannot have other Snaps connecting to a Snowflake or BigQuery target database.

Prerequisites

  • A valid Redshift account.

  • Certified JDBC JAR File: redshift-jdbc42-2.1.0.9.jar

    Using Alternate JDBC JAR File Versions

    We recommend that you let the ELT Snaps use this JAR file version. However, you may use a different JAR file version of your choice.

Limitations

None.

Known Issue

  • When you use the auto-fill feature in the Google Chrome browser to fill ELT Snap account credentials—such as user names, passwords, client secrets, auth codes and tokens, secret keys, and keystores, the accounts, and hence the Pipelines fail. This is because the browser overwrites the field values with its own encrypted values that the SnapLogic Platform cannot read. SnapLogic recommends that you do not auto-save your Snap account credentials in the Chrome browser, delete any credentials that the browser has already saved for elastic.snaplogic.com, and then perform ONE of the following actions:
    • Option 1: Click  that appears in the address bar after you submit your login credentials at elastic.snaplogic.com, and then click Never. 
    • Option 2: Disable the Offer to save Passwords option at chrome://settings/passwords while working with your SnapLogic Pipelines. If you disable this option, your Chrome browser will not remember your passwords on any other website.

Account Settings

When you configure your Snap Account...

  • Asterisk ( * ) indicates a mandatory field.

  • Suggestion icon ( ) indicates a list that is dynamically populated based on the configuration.

  • Expression icon ( ) indicates whether the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.

  • Add icon () indicates that you can add fields in the fieldset.

  • Remove icon () indicates that you can remove fields from the fieldset.

ParameterField Dependency

Description

Label*None.

Required. Unique user-provided label for the account.

Default Value: N/A

Example: ELT Redshift AWS Account AD ON

Account Properties*

Use this field set to configure the information required to establish a JDBC connection with the account.

This field set consists of the following fields:

  • Database Type
  • Download JDBC Driver Automatically
  • JDBC JARs and/or ZIP(s)
  • JDBC Driver Class
  • JDBC URL
  • Username
  • Password
  • Default Database Name
Database Type*None.

Required. Select the target data warehouse into which the queries must be loaded, Redshift in this case. This selection activates the Source Location field.

Default Value: N/A

Example: Redshift

Download JDBC Driver AutomaticallyNone.

Select this checkbox to allow the Snap account to download the certified JDBC Driver for Redshift. The following fields are disabled when this checkbox is selected.

  • JDBC JAR(s) and/or ZIP(s)
  • JDBC driver class

To use a JDBC Driver of your choice, clear this checkbox, upload (to SLDB), and choose the required JAR files in the JDBC JAR(s) and/or ZIP(s): JDBC Driver field. 

Use of Custom JDBC JAR version

You can use a different JAR file version outside of the recommended listed JAR file versions.

Default Value: Not Selected

Example: Selected

JDBC JAR(s) and/or ZIP(s): JDBC DriverRequired when the Download JDBC Driver Automatically checkbox is not selected.

Upload the JDBC driver and other JAR files that you want to use into SLDB. Click  to add a new row. Add each JDBC JAR file in a separate row. See Downloading the JDBC Driver for more information about JDBC drivers and downloading the appropriate driver for your account.

Default Value: N/A

Example: redshift-jdbc42-2.0.0.2.jar

JDBC driver class*Required when the Download JDBC Driver Automatically checkbox is not selected.

Specify the driver class to use for your application. 

We recommend that you use amazon.redshift.jdbc42.Driver for Redshift as other classes and methods may change due to future enhancements.

Default Value: N/A

Example: amazon.redshift.jdbc42.Driver

JDBC URL*None.

Required. Enter the JDBC driver connection string that you want to use for connecting to a Redshift instance. See Redshift's Configure JDBC Connection for more information. 

  • jdbc:redshift://endpoint:port/<databaseName>?<parameter1=value1>&<parameter2=value2>

Alternatively, you can make use of the Username, Password, and Database Name fields, along with the Advanced Properties > URL Properties field set to provide the parameters required for building your JDBC URL. See Passing your JDBC URL for more information.

Avoid passing Password inside the JDBC URL

If you specify the password inside the JDBC URL, it is saved as it is and is not encrypted. We recommend passing your password using the Password field provided, instead, to ensure that your password is encrypted.

Default Value: N/A

Example: jdbc:redshift://redshift-cluster-1.cwunce6uo0q5.us-east-2.redshift.amazonaws.com:5439

Username*None.

Enter the username provided for your database account.

Default value: N/A

Example: Bdsnaplogic

Password*None.

Enter the password for the username specified above.

Default value: N/A

Example: <Encrypted>

Default Database Name*None.

Enter the name of the database to use by default. This database is used if you do not specify one in the ELT Select, ELT Insert-Select, or ELT Merge Into Snaps. 

Default value: N/A

Example: EMPLOYEEDB

Source Location*Database Type is Redshift.

Select the source data warehouse from which to load data into the target database. You must configure this field if you want to use the ELT Load Snap. 

Available options are:

  • None
  • S3. Activates the Authentication, S3 Bucket, and S3 Folder fields.

Default value: None

Example: S3

AuthenticationSource Location is S3.

Select the authentication method to use for the loaded data.

Available options are:

  • Source Location Credentials. Select this option when you do not have a storage integration setup in your S3 or Azure data storage. Activates the Access Key and Secret Key fields for S3 or the SAS Token field for Azure.
  • Source Location Session Credentials. Select this option if you have session credentials to access the source location. Activates the Session Access Key, Session Secret Key, and Session Token fields for S3.
  • IAM Role. Select this option if you want to use the IAM Role authentication. Activates the IAM Role field. You must provide the IAM role associated with the target Redshift cluster in the IAM Role field. See Create an IAM Role for details on creating and associating IAM Role with your Redshift cluster.

Default value: Source Location Credentials

Example: IAM Role

IAM RoleSource Location is S3 and
Authentication is 
IAM Role.

Enter the IAM role associated with the target Redshift cluster. See Create an IAM Role for details on creating and associating IAM Role with your Redshift cluster.

Default value: N/A

Example: myiamrole

Access KeySource Location is S3 and Authentication is
Source Location Credentials.

Enter the access key ID associated with your AWS S3 account.

Default value: N/A

Example: ABCDEFGHIJKL1MNOPQRS

Secret KeySource Location is S3 and Authentication is
Source Location Credentials.

Enter the client secret key associated with your AWS S3 account.

Default value: N/A

Example: aBcdeFGhiJKLM/N1OPQRS/tUvWxyZABCDEFGHIJKLMN

Session Access KeySource Location is S3 and Authentication is
Source Location Session Credentials.

Enter the access key ID associated with your AWS S3 account.

Default value: N/A

Example: ABCDEFGHIJKL1MNOPQRS

Session Secret KeySource Location is S3 and Authentication is
Source Location Session Credentials.

Enter the client secret key associated with your AWS S3 account.

Default value: N/A

Example: aBcdeFGhiJKLM/N1OPQRS/tUvWxyZABCDEFGHIJKLMN

Session TokenSource Location is S3 and Authentication is
Source Location Session Credentials.

Enter the session token value when the authorization to access the S3 folder is based on Security Token Service (STS) based temporary credentials.

Default value: N/A

Example: A%1DEFGH1Ijk2Lm3noI3OlWTjEg2tYkboXr1P9ZUXDtkk%3D

S3 BucketSource Location is S3.

Enter the name of the bucket from which to load the data.

Default value: N/A

Example: employeedata

S3 Bucket RegionSource Location is S3.

Select the region of your Redshift cluster if it is different from the region of the S3 bucket. 

Available options are:

  • Default
  • us-east-1
  • us-east-2
  • us-west-1
  • us-west-2
  • af-south-1
  • ap-east-1
  • ap-south-1
  • ap-northeast-1
  • ap-northeast-2
  • ap-northeast-3
  • ap-southeast-1
  • ap-southeast-2
  • ca-central-1
  • cn-north-1
  • cn-northwest-1
  • eu-central-1
  • eu-west-1
  • eu-west-2
  • eu-west-3
  • eu-south-1
  • eu-north-1
  • me-south-1
  • sa-east-1

Default value: Default

Example: us-east-1, us-east-2

S3 FolderSource Location is S3.

Enter the name of the folder in the S3 bucket specified above where the source files are located.

Default value: N/A

Example: hrdepartment

Advanced Properties

Other parameters that you want to specify as URL properties. See the following resources for a list of parameters that can be specified in this field set.

This field set consists of the following fields:

  • URL Properties
    • URL Property Name
    • URL Property Value
URL PropertiesNone.

The account parameter's name and its corresponding value. Click + to add more rows. Add each URL property-value pair in a separate row. Specify the name of the parameter in the URL Property Name field and its value in the URL Property Value field.

Default value: N/A

Example: MAX_CONCURRENCY_LEVEL: 3

Click Validate after entering the required details to ensure that all fields have been filled accurately. Click Apply to save the settings.

Account Validation when using Pipeline parameters

If you have used Pipeline parameters or expressions to define values for the account fields above, the account validation (done by clicking the Validate button) is not supported. However, the Snaps that use this account may connect to the endpoint successfully depending on the accuracy and validity of the expressions and parameters used.

Passing your JDBC URL

Order of Precedence

The parameter values for the URL used to connect to your target database are governed by the following order of precedence:

  • JDBC URL field
  • Snap Properties (including Advanced Properties)
  • Default values

Default Properties set internally

The following property is passed in the URL internally, by default:

ParameterValue
tcpKeepAlivetrue

Specific Scenarios

When setting default values for the Database Name, Username, and Password fields:

  • As a best practice, ensure that the Default Database Name provided in the Snap's properties and the database name in the JDBC URL field match.

  • Else, make sure that both the database names exist.

However, the username and password from the JDBC URL take precedence over the values provided in the respective fields.

Locating the JDBC URL for Redshift database

Perform the following steps to locate and use the JDBC URL for your Redshift database instance.

  1. Log into your AWS Console. 


  2. Click Amazon Redshift.


  3. Click Clusters in the left navigation menu. Ensure that your IT administrator has provided access to the Redshift cluster that you want to use.


  4. Click the Cluster name hyperlink in the list of clusters provided.


  5. Click  next to the JDBC URL to copy the JDBC URL displayed. Paste this URL in your Snap's account settings.

Troubleshooting

None.

Example

Configuring the ELT Database Account for connecting to a Redshift Database

The following Pipeline is designed to extract data from a CSV file residing in the S3 bucket and load it into a new table in the Redshift database.

Snap Settings

The Pipeline uses an ELT Load Snap to define the source CSV file in the S3 location and is configured to perform the following functions.

  • Create a new table elt_load_org_s3_rs_005 in the specified target database (Redshift).
  • Load the data from CSV file to this newly-created target table based on the table columns specified.

Account Settings

The Pipeline accesses the CSV file using the Source Location Credentials mode of authentication.

See Also

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