Amazon Redshift

Amazon Redshift ETL connector for data replication

Summary

Instructions for granting Amazon Redshift access and setting up Amazon Redshift as a destination in Daton.

Amazon Redshift Setup Information

Setting up access to your Amazon Redshift data warehouse is not very complicated and just takes a couple of simple steps. If you don't have an existing account on the AWS, you can sign up a free tier here.

Step 1 - Grant Cluster access

Instructions to grant Redshift cluster access and (optionally) creating a user and schema for setting up Redshift as a destination in Daton.

  • Click on the specific Cluster.

  • In the Configuration tab of the details page, note down the Redshift Host name and Port from the Endpoint. This will be used in the Daton integration page.

  • In the Configuration tab of the details page, under the VPC security groups, click the name of security group.

  • In the details page, click the Inbound tab, click Edit.

IP Whitelisting

  • Click Add Rule and white list the IP Addresses below.

    • 35.238.200.205/32

White list Daton IP addresses on Amazon Redshift

Step 2 - Create a User and Schema for Daton

To enable Daton to write to a specific dataset, create a user for the relevant Amazon Redshift Dataset:

  • Access your Amazon Redshift Console.

    Click the Query editor and run the below commands to grant privileges to Daton. Change the user, password and db-name per your choice.

CREATE USER daton WITH PASSWORD 'yourpassword';
CREATE SCHEMA daton AUTHORIZATION daton;
GRANT CREATE ON DATABASE db-name TO daton;

That's it, you're done configuring access — time to connect to Amazon Redshift.

Step 3 - JDBC URL and other configuration parameters

  • Click Clusters from left menu and click on the cluster name to view the cluster details

Open the Redshift Cluster
  • Scroll down to see the JDBC URL details and note them. This URL is required along with database username and password while integrating Redshift on Daton

Amazon Redshift JDBC URL

Step 4 - Optional SSH Tunnel Configuration

  • Copy the below SSH public key and use it while creating SSH rule for Security Group

Daton - Public Key for SSH Tunnel

Daton Setup Information

  • Login to Daton web-app

  • Click Data Sources & select Choose Warehouse

  • Click Amazon Redshift & enter any integration name

  • Enter the JDBC URL, database username, and password from above steps

  • Click Next, if successfully connected, select the schema from the options

  • Click Finish to complete setup

Replication Guide

Daton has been built to handle multiple data warehouses. Since all data warehouses are not built the same, the choice of a data warehouse may impact how Daton loads data. This section tables about some key capabilities and limitations of RedShift that impact how data looks in your data warehouse.

Feature

Supported

Comments

Nested Tables

No

Primary Keys

Yes

Updates

No

Redshift doesnt allow updating while insert mechanism. Instead, Daton will append data to the end of the table with every replication run.

Full table replication

Yes

Column based

No

Inserts only

Yes

SSH Connections

SSL Connections

Adding columns to existing integration

Yes

When new columns are added to an existing table in Amazon Redshift, user is given two options. Depending on their choice, the new column(s) is added and entire table is re-loaded or there is no re-load. Read the edit integration (proceed link) functionality to understand the impact of making changes.

Removing columns to existing integration

Yes

Users can use the edit integration functionality

Adding tables to existing integration

No

When tables are deselected from an integration, the loads into those tables stop. Daton doesn't delete the tables from the data warehouse. This is great for cases where usage of a source has been discontinued, but there is a desire to capture that data.

Table Partitioning

Yes

Querying Daton created tables on RedShift

RedShift data warehouse does not support nested tables. Hence, Daton creates separate 'child' tables for each nested data present in source schema(or parent table).

At present Daton creates separate child tables up to three levels.

For example, if data is present in Listrecommendations.Fulfillmentrecommendations.Member.Itemdimensions.Dimensiondescriptionthen the following tables would be created -

  1. Listrecommendations (Parent Table)

  2. Listrecommendations_Fulfillmentrecommendations (Level 1 Child)

  3. Listrecommendations_Fulfillmentrecommendations_Member (Level 2 Child)

  4. Listrecommendations_Fulfillmentrecommendations_Member_Itemdimensions (Level 3 Child)

Any nested data present in Itemdimesions would be stored at text and any excess data which does not fit into that field would be truncated.

Data Mapping

Data between parent and child tables can be mapped or combined using daton_parent_batch_id and daton_batch_runtime meta fields. The same applies for other levels of child tables.

For example, if API response for ListOrderItems contains data in the following structure

Column Name

Datatype

AmazonOrderId

STRING

ASIN

STRING

SellerSKU

STRING

OrderItemId

STRING

ItemPrice

RECORD

ItemPrice.CurrencyCode

STRING

ItemPrice.Amount

STRING

then the following tables would be created by Daton on RedShift

Table 1: ListOrderItem (Parent Table)

Column Name

Datatype

AmazonOrderId

STRING

ASIN

STRING

SellerSKU

STRING

OrderItemId

STRING

daton_user_id

NUMERIC

daton_batch_runtime

NUMERIC

daton_batch_id

NUMERIC

Table 2: ListOrderItem_ItemPrice (Level 1 Child Table)

Column Name

Datatype

CurrencyCode

STRING

Amount

STRING

daton_user_id

NUMERIC

daton_batch_runtime

NUMERIC

daton_batch_id

NUMERIC

daton_parent_batch_id

NUMERIC

In order to fetch Item price for an AmazonOrderId, daton_batch_id and daton_batch_runtime must be used for mapping records

select Amount from listorderitems_itemprice
where
daton_parent_batch_id = (select daton_batch_id from mws_listorderitems where amazonorderid = 'XXX-7370285-XXXX')
and
daton_batch_runtime = (select daton_batch_runtime from mws_listorderitems where amazonorderid = 'XXX-7370285-XXXX')