SnowConvert AI - Redshift - CREATE TABLE AS

Create Table As Syntax Grammar.

Description

Creates a new table based on a query. The owner of this table is the user that issues the command.

For more information please refer to CREATE TABLE AS documentation.

Grammar Syntax 


 CREATE [ [ LOCAL ] { TEMPORARY | TEMP } ]
TABLE table_name
[ ( column_name [, ... ] ) ]
[ BACKUP { YES | NO } ]
[ table_attributes ]
AS query

where table_attributes are:
[ DISTSTYLE { AUTO | EVEN | ALL | KEY } ]
[ DISTKEY( distkey_identifier ) ]
[ [ COMPOUND | INTERLEAVED ] SORTKEY( column_name [, ...] ) ]

SnowConvert AI - Redshift - Table Start

BACKUP

Description

Enables Amazon Redshift to automatically adjust the encoding type for all columns in the table to optimize query performance. In Snowflake, the concept of BACKUP as seen in other databases is not directly applicable. Snowflake automatically handles data backup and recovery through its built-in features like Time Travel and Fail-safe, eliminating the need for manual backup operations. For these reasons, the statement BACKUP is removed during the transformation process

See the Redshift data distribution documentation for this syntax.

Grammar Syntax


 BACKUP { YES | NO }

Sample Source Patterns

NO option

An FDM is added since Snowflake, by default, always creates a backup of the created table.

Input Code:
Redshift

 CREATE TABLE table1
BACKUP NO
AS SELECT * FROM table_test;
Output Code:
Snowflake

 CREATE TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "02/10/2025",  "domain": "test" }}'
----** SSC-FDM-RS0001 - BACKUP NO OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--BACKUP NO
AS SELECT * FROM
table_test;

YES option

The option is removed since Snowflake, by default, applies a backup to the created table.

Input Code:
Redshift

 CREATE TABLE table1
BACKUP YES
AS SELECT * FROM table_test;
Output Code:
Snowflake

 CREATE TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "02/10/2025",  "domain": "test" }}'
AS SELECT * FROM
table_test;

  • SSC-FDM-RS0001: Data storage option is not supported in Snowflake. Data distribution is automatically handled by Snowflake.

COLUMNS

Description

The name of a column in the new table. If no column names are provided, the column names are taken from the output column names of the query.

See the Redshift CREATE TABLE documentation for this syntax.

Grammar Syntax


 ( column_name [, ... ] )

Sample Source Patterns

Input Code:

Redshift

 CREATE TABLE table1
(
    col1, col2, col3
)
AS SELECT col1, col2, col3 FROM table_test;
Output Code:
Snowflake

 CREATE TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
(
    col1, col2, col3
)
AS SELECT col1, col2, col3 FROM
        table_test;

There are no known issues.

LOCAL

Description

In Amazon Redshift, LOCAL TEMPORARY or TEMP are used to create temporary tables that exist only for the duration of the session. These tables are session-specific and automatically deleted when the session ends. They are useful for storing intermediate results or working data without affecting the permanent database schema.

See the Redshift CREATE TABLE documentation for this syntax.

Grammar Syntax


 LOCAL { TEMPORARY | TEMP }

Sample Source Patterns

Input Code:

Redshift

 CREATE LOCAL TEMP TABLE table1
AS SELECT FROM table_test;
Output Code:
Snowflake

 CREATE LOCAL TEMP TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
AS SELECT FROM
table_test;

There are no known issues.

SnowConvert AI - Redshift - Table Attributes

DISTKEY

Description

In Amazon Redshift, DISTKEY is used to distribute data across cluster nodes to optimize query performance. Snowflake, however, automatically handles data distribution and storage without needing explicit distribution keys. Due to differences in architecture and data management approaches, Snowflake does not have a direct equivalent to Redshift’s DISTKEY. For these reasons, the statement DISTKEY is removed during the transformation process

See the Redshift data distribution documentation for this syntax.

Grammar Syntax


 DISTKEY ( column_name )

Sample Source Patterns

Input Code:

Redshift

 CREATE TABLE table1
DISTKEY (col1)
AS SELECT * FROM table_test;
Output Code:
Snowflake

 CREATE TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "02/10/2025",  "domain": "test" }}'
----** SSC-FDM-RS0001 - DISTKEY OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTKEY (col1)
AS SELECT * FROM
table_test;
  • SSC-FDM-RS0001: Data storage option is not supported in Snowflake. Data distribution is automatically handled by Snowflake.

DISTSTYLE

Description

Keyword that defines the data distribution style for the whole table.

See the Redshift data distribution documentation for this syntax.

Grammar Syntax


 DISTSTYLE { AUTO | EVEN | KEY | ALL }

Sample Source Patterns

Input Code:

Redshift

 CREATE TABLE table1
DISTSTYLE AUTO
AS SELECT * FROM table_test;

CREATE TABLE table2
DISTSTYLE EVEN
AS SELECT * FROM table_test;

CREATE TABLE table3
DISTSTYLE ALL
AS SELECT * FROM table_test;

CREATE TABLE table4
DISTSTYLE KEY
DISTKEY (col1)
AS SELECT * FROM table_test;
Output Code:
Snowflake

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

CREATE TABLE table2
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
----** SSC-FDM-RS0001 - DISTSTYLE EVEN OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTSTYLE EVEN
AS SELECT * FROM
table_test;

CREATE TABLE table3
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
----** SSC-FDM-RS0001 - DISTSTYLE ALL OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTSTYLE ALL
AS SELECT * FROM
table_test;

CREATE TABLE table4
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
----** SSC-FDM-RS0001 - DISTSTYLE KEY OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTSTYLE KEY
----** SSC-FDM-RS0001 - DISTKEY OPTION IS NOT SUPPORTED IN SNOWFLAKE. DATA STORAGE IS AUTOMATICALLY HANDLED BY SNOWFLAKE. **
--DISTKEY (col1)
AS SELECT * FROM
table_test;
  1. SSC-FDM-RS0001: Data storage option is not supported in Snowflake. Data distribution is automatically handled by Snowflake.

SORTKEY

Description

The keyword that specifies that the column is the sort key for the table. In Snowflake, SORTKEY from Redshift can be migrated to CLUSTER BY because both optimize data storage for query performance. CLUSTER BY in Snowflake organizes data on specified columns, similar to how SORTKEY orders data in Redshift.

See the Redshift data distribution documentation for this syntax.

Grammar Syntax


 [ COMPOUND | INTERLEAVED ] SORTKEY( column_name [, ...] )

Sample Source Patterns

Input Code:

Redshift

 CREATE TABLE table1 (
    col1,
    col2,
    col3,
    col4
)
COMPOUND SORTKEY (col1, col3)
AS SELECT * FROM table_test;

CREATE TABLE table2 (
    col1
)
INTERLEAVED SORTKEY (col1)
AS SELECT * FROM table_test;

CREATE TABLE table3 (
    col1
)
SORTKEY (col1)
AS SELECT * FROM table_test;
Output Code:
Snowflake

 CREATE TABLE table1
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
(
    col1,
    col2,
    col3,
    col4
)
--** SSC-FDM-RS0002 - THE PERFORMANCE OF THE CLUSTER BY MAY VARY COMPARED TO THE PERFORMANCE OF SORTKEY **
CLUSTER BY (col1, col3)
AS SELECT * FROM
        table_test;

CREATE TABLE table2
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
(
    col1
)
--** SSC-FDM-RS0002 - THE PERFORMANCE OF THE CLUSTER BY MAY VARY COMPARED TO THE PERFORMANCE OF SORTKEY **
CLUSTER BY (col1)
AS SELECT * FROM
        table_test;

CREATE TABLE table3
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "09/17/2024" }}'
(
    col1
)
--** SSC-FDM-RS0002 - THE PERFORMANCE OF THE CLUSTER BY MAY VARY COMPARED TO THE PERFORMANCE OF SORTKEY **
CLUSTER BY (col1)
AS SELECT * FROM
        table_test;
  1. SSC-FDM-RS0002: The performance of the CLUSTER BY may vary compared to the performance of Sortkey.