PIVOT

Translation specification for the PIVOT function form Teradata to Snowflake

Some parts in the output code are omitted for clarity reasons.

Description

The pivot function is used to transform rows of a table into columns. For more information check the PIVOT Teradata documentation.

PIVOT ( pivot_spec )
  [ WITH with_spec [,...] ]
  [AS] derived_table_name [ ( cname [,...] ) ]
  
pivot_spec := aggr_fn_spec [,...] FOR for_spec

aggr_fn_spec := aggr_fn ( cname ) [ [AS] pvt_aggr_alias ]

for_spec := { cname IN ( expr_spec_1 [,...] ) |
( cname [,...] ) IN ( expr_spec_2 [,...] ) |
cname IN ( subquery )
}

expr_spec_1 := expr [ [AS] expr_alias_name ]

expr_spec_2 := ( expr [,...] ) [ [AS] expr_alias_name ]

with_spec := aggr_fn ( { cname [,...] | * } ) [AS] aggr_alias

Sample Source Patterns

Setup data

Teradata

IN -> Teradata_01.sql
CREATE TABLE star1(
	country VARCHAR(20),
	state VARCHAR(10), 
	yr INTEGER,
	qtr VARCHAR(3),
	sales INTEGER,
	cogs INTEGER
);

insert into star1 values ('USA', 'CA', 2001, 'Q1', 30, 15);
insert into star1 values ('Canada', 'ON', 2001, 'Q2', 10, 0);
insert into star1 values ('Canada', 'BC', 2001, 'Q3', 10, 0);
insert into star1 values ('USA', 'NY', 2001, 'Q1', 45, 25);
insert into star1 values ('USA', 'CA', 2001, 'Q2', 50, 20);

Snowflake

OUT -> Teradata_01.sql
CREATE TABLE star1 (
	country VARCHAR(20),
	state VARCHAR(10),
	yr INTEGER,
	qtr VARCHAR(3),
	sales INTEGER,
	cogs INTEGER
)
COMMENT = '{"origin":"sf_sc","name":"snowconvert","version":{"major":1, "minor":0},{"attributes":{"component":"teradata"}}'
;

INSERT INTO star1
VALUES ('USA', 'CA', 2001, 'Q1', 30, 15);

INSERT INTO star1
VALUES ('Canada', 'ON', 2001, 'Q2', 10, 0);

INSERT INTO star1
VALUES ('Canada', 'BC', 2001, 'Q3', 10, 0);

INSERT INTO star1
VALUES ('USA', 'NY', 2001, 'Q1', 45, 25);

INSERT INTO star1
VALUES ('USA', 'CA', 2001, 'Q2', 50, 20);

Basic PIVOT transformation

Teradata

IN -> Teradata_02.sql
SELECT *
FROM star1 PIVOT (
	SUM(sales) FOR qtr                                                                                               
    IN ('Q1',                                                                                                     
    	'Q2', 
        'Q3')
)Tmp;

Snowflake

OUT -> Teradata_02.sql
SELECT
	*
FROM
	star1 PIVOT(
	SUM(sales) FOR qtr IN ('Q1',
	   	'Q2',
	       'Q3'))Tmp;

PIVOT with aliases transformation

Teradata

IN -> Teradata_03.sql
SELECT *
FROM star1 PIVOT (
	SUM(sales) as ss1 FOR qtr                                                                                               
    IN ('Q1' AS Quarter1,                                                                                                     
    	'Q2' AS Quarter2, 
        'Q3' AS Quarter3)
)Tmp;