![]() ![]() ![]() Manual overrides areĬreate the recipe, either from the “New recipe” menu, or using the Actions menu of a dataset. The types returned must be handled by DSS, which is not the case of certainĭSS has partial support for multiple statements handling. Certain statements, notably CTE (“WITH”) are not always No code validation, you must execute the scriptĭSS needs to rewrite your query. The schema of the output dataset(s) are automatically inferred from the tables You must manage CREATE / DROP statements yourself The schema of the output dataset is automatically inferred from the columns returnedĪutomatic code validation is available (without executing the query) ![]() You simply write a SELECT and DSS handles insertion in the target table Takes as output one or several SQL datasetsĭSS automatically manages CREATE/ DROP statements Takes as input one or several SQL datasets If the output is in the same connectionĪs all the inputs, then the execution is done fully in the database (no data movement). The output of the recipe may be stored anywhere. Takes as input one or several SQL datasets and a single output dataset. Simply asks the database to execute the statement, and does not rewrite it. The query can also include other statements that are executed before and afterĪ SQL script recipe is a complete SQL script, made of several statements. This SELECT statement and handles the task of writing the data to the output. The CTE (“WITH”) construct and data types not handled by DSS directlyĪt its core, a SQL query recipe is a SELECT statement. The “SQL script” recipe should be used in the few cases where DSS cannot rewrite It allows you toįocus on writing your query, while leaving plumbing work to DSS. The SQL query should generally be preferred. The SQL query recipe is the simplest recipe. API Node & API Deployer: Real-time APIs.Automation scenarios, metrics, and checks. ![]()
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