![]() The procedure will return a JSON object, either an error indication of a JSON document containing the rows from the execution. This stored procedure will run any SQL statement that can be run in a Snowflake stored procedure. '/data.csv from SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.NATION file_format = (type = CSV)') A General-Purpose Stored Procedure to Run Dynamic SQL It’s intended to run general-purpose dynamic SQL generated outside the procedure and passed in as a parameter.įor example in the previously cited example, this allows running the daily data offload like this: call run_dynamic_sql('copy into || current_date || That is the approach the following stored procedure uses. The other approach is to generate SQL statements outside the stored procedure that a single general-purpose stored procedure runs. It requires the creation and maintenance of a new stored procedure for each dynamic SQL statement to run. While this approach has advantages, it has a major disadvantage. One option is to build the SQL statement inside the stored procedure code. There are two options for stored procedures to run dynamic SQL. Because Snowflake tasks also require no external dependencies, it’s possible schedule and run dynamic SQL with no external dependencies. Stored procedures elimination of any external dependencies offers a major advantage. #NOT ILIKE ANY SNOWFLAKE CODE#One disadvantage of external code to run dynamic SQL is that it requires external dependencies to schedule and run the code. External calls from something like Python or Java can generate and run dynamic SQL. Writing a stored procedure is one option to run dynamic SQL along these lines. Snowflake Stored Procedures for Dynamic SQL The problem is the path in a stage is a string literal that currently does not support using the identifier keyword, variables, or other dynamic SQL methods. To keep the data organized, you decide to put the unloaded data into paths with the current date, like this: - Data unloaded daily, organized by accomplish this, you want a single line of SQL to run on a daily basis with the date dynamically generated. There are some notable exceptions however, where the Snowflake SQL parser currently does not support dynamic SQL.įor example, suppose you want to unload data to stage on a daily basis. Snowflake supports dynamic SQL using the identifier keyword and table() function. Dynamic SQL allows you to create and manipulate a string, and then run the resulting string as a SQL statement. ![]()
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