SSC-FDM-RS0001

Option not supported. Data storage is automatically handled by Snowflake.

Important Notice: Migration of Documentation Website

Please be advised that our documentation website is currently undergoing a migration to a new platform. To ensure you have access to the most up-to-date information, we kindly request that you visit our new documentation website located at:

Official Snowflake Snowconvert Documentation

For any immediate assistance or if you encounter any issues, please contact our support team at [email protected].

Thank you for your understanding.

Description

In Snowflake, it is not necessary to explicitly define SORTKEY and DISTSTYLE when migrating from Redshift because Snowflake’s architecture inherently manages data distribution and optimization. Snowflake automatically handles data partitioning and indexing, optimizing query performance without requiring manual configuration of these parameters.

Code Example

Input Code:

Redshift

IN -> Redshift_01.sql

CREATE TABLE table1 (
    col1 INTEGER
)
DISTSTYLE AUTO;

CREATE TABLE table2 (
    col1 INTEGER
)
SORTKEY AUTO;

Output Code:

Snowflake

OUT -> Redshift_01.sql

CREATE TABLE table1 (
    col1 INTEGER
)
----** SSC-FDM-RS0001 - DISTSTYLE AUTO OPTION NOT SUPPORTED. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTSTYLE AUTO
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}';

CREATE TABLE table2 (
    col1 INTEGER
)
----** SSC-FDM-RS0001 - SORTKEY AUTO OPTION NOT SUPPORTED. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--SORTKEY AUTO
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}';

Recommendations

• It is advisable to assess the use of CLUSTER BY in Snowflake during migration from Redshift, as it may improve query performance by optimizing data locality for frequently queried columns.

• If you need more support, you can email us at [email protected]