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- Built-in functions | SnowConvert - Translation Spec
There are two kinds of syntax, aggregate syntax, and analytic syntax The aggregate syntax is not supported and an error is added The analytic syntax is supported but the 'SIBLINGS' keyword is removed from the 'order by' clause and a warning is added
- How to convert the oracle sql to Snowflake sql - Stack Overflow
The example SQL is missing a couple layers of SELECT * FROM (as you have to unmatched paren at the end But assuming you are selecting * so your WHERE Quantity_Purchased <> 0 this can be coverted to a QUALIFY and the layers can be skipped There are two main things, how to convert the SQL, and how to avoid the corrolated sub-query
- Snowflake SnowConvert Documentation | SnowConvert
Snowflake SnowConvert is an easy-to-use software that lets you jump-start the modernization of your conventional data platform to the reinvented Snowflake Data Warehousing Architecture To achieve this modernization, SnowConvert understands your source SQL (such as Oracle, SQL Server, and Teradata SQL) and translates SQL to Snowflake SQL
- SQL command reference - Snowflake Documentation
These topics provide reference information for all the Snowflake SQL commands (DDL, DML, and query syntax) Query syntax — structure of SQL queries in Snowflake Query operators — arithmetic, logical, and other types of operators
- Subquery operators - Snowflake Documentation
Use a NOT IN subquery that is equivalent to the != ALL subquery example (earlier in this topic) to find the departments that have no employees: SELECT department_id FROM departments d WHERE d department_id NOT IN ( SELECT e department_id FROM employees e );
- Snowflake SQL translation guide | BigQuery - Google Cloud
This document details the similarities and differences in SQL syntax between Snowflake and BigQuery to help accelerate the planning and execution of moving your EDW (Enterprise Data
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