Connection Steps

This section explains how to connect Lyftrondata to Redshift.

Establishing a connection

Lyftrondata offers three methods connecting to Redshift. To establish your connection, use the connection strings described below.

Basic

Key
Value
Field

hostname

Redshift hostname

Required

port

Redshift port

Required

database

Redshift database name

Required

username

Redshift Username

Required

password

Redshift Password

Required

Access Key

Redshift Access Key

Required

Secret Key

Redshift Secret Key

Required

Bucket Name

Redshift Bucket Name

Required

Advanced Config:

The JSON represents advanced configuration settings for a Spark application. It contains a list of key-value pairs with corresponding fields and values. The settings include packages needed for the application, file system details, and credentials for accessing resources.

The table summarizes these settings with editable values for some fields.

Key
Value
Field

spark.jars.packages

com.amazon.redshift:redshift-jdbc42:2.1.0.12,com.google.guava:guava:31.1-jre,org.apache.hadoop:hadoop-aws:3.2.2

false

spark.hadoop.fs.s3a.impl

org.apache.hadoop.fs.s3a.S3AFileSystem

false

spark.hadoop.fs.s3a.access.key

false

spark.hadoop.fs.s3a.aws.credentials.provider

org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider

false

spark.hadoop.fs.s3a.secret.key

false

Policy:

This JSON represents a single item in a list of policies, with a key "policy". It contains a text field for specifying a bucket policy.

Key
Text
Type

policy

Policy

Required

Quickstart Steps

Do you have questions about how to use the platform? Don't worry; we've got you covered. Simply follow the quickstart instructions here.

Questions?

We're always happy to help with any other questions you might have! Set up a meeting with our experts.

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