-- DBMS: snowflake
CREATE TABLE AMAZON_VENDOR_ANALYTICS__SAMPLE_DATASET.PUBLIC.RETAIL_ANALYTICS_SALES (
    SHIPPED_COGS FLOAT,
    PERIOD TEXT,
    PROGRAM TEXT,
    SHIPPED_UNITS NUMBER,
    CUSTOMER_RETURNS NUMBER,
    CUSTOMER_RETURNS_LAST_YEAR FLOAT,
    RAW_RECORD TEXT,
    ORDERED_UNITS_PRIOR_PERIOD FLOAT,
    ORDERED_UNITS NUMBER,
    ORDERED_REVENUE FLOAT,
    ORDERED_REVENUE_CURRENCY_CODE TEXT,
    SHIPPED_COGS_LAST_YEAR FLOAT,
    _LAST_UPDATED_ON TIMESTAMP_LTZ,
    SHIPPED_UNITS_LAST_YEAR FLOAT,
    SHIPPED_REVENUE_CURRENCY_CODE TEXT,
    SHIPPED_REVENUE FLOAT,
    PRODUCT_TITLE TEXT,
    SHIPPED_COGS_PRIOR_PERIOD FLOAT,
    SHIPPED_REVENUE_LAST_YEAR FLOAT,
    DISTRIBUTOR_VIEW TEXT,
    ORDERED_REVENUE_LAST_YEAR FLOAT,
    SHIPPED_REVENUE_PRIOR_PERIOD FLOAT,
    ORDERED_UNITS_LAST_YEAR FLOAT,
    SHIPPED_COGS_CURRENCY_CODE TEXT,
    _REVISION NUMBER,
    ORDERED_REVENUE_PRIOR_PERIOD FLOAT,
    ID NUMBER,
    CUSTOMER_RETURNS_PRIOR_PERIOD FLOAT,
    _PARTNERUUID TEXT,
    _CREATED_ON TIMESTAMP_LTZ,
    SHIPPED_UNITS_PRIOR_PERIOD FLOAT,
    ASIN TEXT,
    DATE TIMESTAMP_LTZ
);

INSERT INTO "AMAZON_VENDOR_ANALYTICS__SAMPLE_DATASET"."PUBLIC"."RETAIL_ANALYTICS_SALES" (SHIPPED_COGS, PERIOD, PROGRAM, SHIPPED_UNITS, CUSTOMER_RETURNS, CUSTOMER_RETURNS_LAST_YEAR, RAW_RECORD, ORDERED_UNITS_PRIOR_PERIOD, ORDERED_UNITS, ORDERED_REVENUE, ORDERED_REVENUE_CURRENCY_CODE, SHIPPED_COGS_LAST_YEAR, _LAST_UPDATED_ON, SHIPPED_UNITS_LAST_YEAR, SHIPPED_REVENUE_CURRENCY_CODE, SHIPPED_REVENUE, PRODUCT_TITLE, SHIPPED_COGS_PRIOR_PERIOD, SHIPPED_REVENUE_LAST_YEAR, DISTRIBUTOR_VIEW, ORDERED_REVENUE_LAST_YEAR, SHIPPED_REVENUE_PRIOR_PERIOD, ORDERED_UNITS_LAST_YEAR, SHIPPED_COGS_CURRENCY_CODE, _REVISION, ORDERED_REVENUE_PRIOR_PERIOD, ID, CUSTOMER_RETURNS_PRIOR_PERIOD, _PARTNERUUID, _CREATED_ON, SHIPPED_UNITS_PRIOR_PERIOD, ASIN, DATE) VALUES (67.68, 'DAILY', 'Amazon Retail', 3, 0, nan, NULL, nan, 0, 0.0, 'CODE_3', nan, '2022-12-20 06:44:27-08:00', nan, 'CODE_1', 107.64, 'TITLE_216', nan, nan, 'Sourcing', nan, nan, nan, 'CODE_1', 3, nan, 16776, nan, '0ba25d78-760e-4541-8eca-e4ff8292d0b1', '2022-12-12 07:38:35-08:00', nan, 'ASIN_216', '2022-11-12 00:00:00-08:00'), (0.0, 'DAILY', 'Amazon Retail', 0, 0, 0.0, NULL, 0.0, 0, 0.0, 'CODE_2', -1.0, '2022-09-09 21:41:48-07:00', -1.0, 'CODE_2', 0.0, 'TITLE_37', 0.0, -1.0, 'Sourcing', 0.0, 0.0, 0.0, 'CODE_2', 1, 0.0, 702, 0.0, '0ba25d78-760e-4541-8eca-e4ff8292d0b1', '2022-09-09 21:41:48-07:00', 0.0, 'ASIN_37', '2021-02-06 00:00:00-08:00'), (43.12, 'DAILY', 'Amazon Retail', 11, 0, nan, NULL, nan, 16, 93.92, 'CODE_1', nan, '2022-12-20 05:58:05-08:00', nan, 'CODE_1', 64.57, 'TITLE_115', nan, nan, 'Manufacturing', nan, nan, nan, 'CODE_1', 2, nan, 705, nan, '0ba25d78-760e-4541-8eca-e4ff8292d0b1', '2022-12-11 12:35:41-08:00', nan, 'ASIN_115', '2021-02-06 00:00:00-08:00'), (0.0, 'DAILY', 'Amazon Retail', 0, 0, 0.0, NULL, 0.0, 0, 0.0, 'CODE_2', -1.0, '2022-09-08 18:19:37-07:00', -1.0, 'CODE_2', 0.0, 'TITLE_33', 0.0, -1.0, 'Manufacturing', -1.0, 0.0, -1.0, 'CODE_2', 1, 0.0, 707, 0.0, '0ba25d78-760e-4541-8eca-e4ff8292d0b1', '2022-09-08 18:19:37-07:00', 0.0, 'ASIN_33', '2021-02-07 00:00:00-08:00'), (0.0, 'DAILY', 'Amazon Retail', 0, 0, 0.0, NULL, 0.0, 0, 0.0, 'CODE_2', 0.0, '2022-09-09 21:40:50-07:00', 0.0, 'CODE_2', 0.0, 'TITLE_39', -1.0, 0.0, 'Sourcing', 0.0, -1.0, 0.0, 'CODE_2', 1, 0.0, 709, 0.0, '0ba25d78-760e-4541-8eca-e4ff8292d0b1', '2022-09-09 21:40:50-07:00', -1.0, 'ASIN_39', '2021-02-07 00:00:00-08:00');