Mastering Validation Mode | Copy INTO Command | Techniques in Snowflake Database
In this comprehensive tutorial, we delve deep into Snowflake Database's Validation Mode, offering you expert insights and practical demonstrations on utilizing the powerful Copy Command. Whether you're a beginner seeking to grasp the fundamentals or an experienced user aiming to refine your skills, this video has you covered. Join us as we explore best practices, tips, and tricks to efficiently validate data using Snowflake's Copy Command, empowering you to streamline your database operations and drive data integrity like never before. Don't miss out on this invaluable resource for mastering Snowflake's Validation Mode!
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--- VALIDATION_MODE ------------------------------------------------
-- In Snowflake, the VALIDATION_MODE option in the COPY INTO command is used to validate data files without actually loading them into the table
-- Here are the different settings for VALIDATION_MODE:
-- RETURN_n_ROWS: Validates the data and returns up to n rows of results.
-- RETURN_ERRORS: Validates the data and returns any errors found.
-- RETURN_ALL_ERRORS: Validates the data and returns all errors found.
CREATE OR REPLACE TABLE MY_DB.PUBLIC.ORDERS (
ORDER_ID VARCHAR(30),
AMOUNT VARCHAR(30),
PROFIT INT,
QUANTITY INT,
CATEGORY VARCHAR(30),
SUBCATEGORY VARCHAR(30));
SELECT * FROM MY_DB.PUBLIC.ORDERS;
LIST @MANAGE_DB.INTERNAL_STAGES.order_Stage;
-- Load data using copy command
COPY INTO MY_DB.PUBLIC.ORDERS
FROM @MANAGE_DB.INTERNAL_STAGES.ORDER_STAGE
file_format = (type = csv field_delimiter=',' skip_header=1)
files = ('orders_dataset.csv.gz')
ON_ERROR = 'SKIP_FILE_3'
VALIDATION_MODE = RETURN_ERRORS;
COPY INTO MY_DB.PUBLIC.ORDERS
FROM @MANAGE_DB.INTERNAL_STAGES.ORDER_STAGE
file_format = (type = csv field_delimiter=',' skip_header=1)
files = ('orders_dataset.csv.gz')
ON_ERROR = 'SKIP_FILE_3'
VALIDATION_MODE = RETURN_ALL_ERRORS;
SELECT * FROM ORDERS;
COPY INTO MY_DB.PUBLIC.ORDERS
FROM @MANAGE_DB.INTERNAL_STAGES.ORDER_STAGE
file_format = (type = csv field_delimiter=',' skip_header=1)
files = ('orders_dataset_1.csv.gz')
ON_ERROR = 'SKIP_FILE_3'
-- VALIDATION_MODE = RETURN_ERRORS
-- VALIDATION_MODE = RETURN_10_ROWS
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