SSC-FDM-RS0002

The performance of the CLUSTER BY may vary compared to the performance of Sortkey.

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Description

The SORTKEY (excluding SORTKEY AUTO) in Amazon Redshift are analogous to CLUSTER BY in Snowflake. However, performance implications may vary due to architectural differences between Redshift and Snowflake.

• SORTKEY improves performance by maintaining data in a sorted order based on specified columns. This is particularly beneficial for range queries and ordering operations.

• CLUSTER BY in Snowflake organizes data into blocks based on designated columns, aiding in filtering and aggregation tasks. However, it is less stringent about ordering compared to SORTKEY.

Understanding these mechanisms is crucial for optimizing performance in each respective platform.

Code Example

Input Code:

Redshift

IN -> Redshift_01.sql

CREATE TABLE table1 (
    col1 INTEGER
)
SORTKEY (col1);

CREATE TABLE table2 (
    col1 INTEGER SORTKEY
);

Output Code:

Snowflake

OUT -> Redshift_01.sql

CREATE TABLE table1 (
    col1 INTEGER
)
--** SSC-FDM-RS0002 - THE PERFORMANCE OF THE CLUSTER BY MAY VARY COMPARED TO THE PERFORMANCE OF SORTKEY **
CLUSTER BY (col1)
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-RS0002 - THE PERFORMANCE OF THE CLUSTER BY MAY VARY COMPARED TO THE PERFORMANCE OF SORTKEY **
CLUSTER BY (col1)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}';

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