Minimal reproduceable code: self.con=ibis.snowflake.connect(<...>)testdf2=pl.DataFrame({"col1": ["I","like","spaces"]})self.con.create_table(name="mytemptable",obj=testdf2,temp=True)# This workstestdf=pl.DataFrame({"col 1": ["I","like","spaces"]})self.con.create_table(name...
-- Create a temporary table for order analysisCREATEORREPLACETEMPORARYTABLEtemp_order_analysis(order_dateDATE,total_ordersINTEGER,total_revenueDECIMAL(18,2))ASSELECTDATE_TRUNC('day',order_date)asorder_date,COUNT(*)astotal_orders,SUM(order_amount)astotal_revenueFROMordersGROUPBY1; ...
CREATE TEMPORARY TABLE demo_temporary (i INTEGER); CREATE TEMP TABLE demo_temp (i INTEGER); For compatibility with other vendors, Snowflake also supports using the keywords below as synonyms for TEMPORARY: CREATE LOCAL TEMPORARY TABLE demo_local_temporary (i INTEGER); CREATE LOCAL TEMP TABLE de...
CTAS: Create Table As Select Data Loading with GUI, SQL Scripts Using Query and History Tab in GUI Constraints and Data Types Snowflake Constraints, Data Validations NULL and NOT NULL Properties Unique, Primary and Foreign Keys Working with Named Constraints ...
Permanent, Transient & Temp Tables Creating Tables with SnowSight Describe Options, Data Inserts CREATE TABLE AS SELECT Cloning Tables, Case Sensitivity Options Collation, ALTER, DROP & UNDROP Time Travel & Transient Tables Time Travel Feature in Snowflake ...
因此，您可以使用大写字母table_name='TEMP_TABLE',创建表，也可以使用双引号查询表：
Please note, that i know multiple other commands, that are not being executed or highlighted by Pycharm. I would love, if Pycharm would do regular updates forthe Snowflake SQL dialect. CREATE OR REPLACE TEMP TABLE quarterly_sales(empid INT,amount INT,quarter TEXT)AS SELECT*FROM VALUES(1,10...
SQLite 创建表创表语法 CREATE TABLE [表名称]( --主键列不可为空 [列1] [类型] PRIMARY KEY NOT NULL, --列可为空...如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 举报,一经查实,本站将立刻删除。
CREATE [ OR REPLACE ] [ { TEMP | TEMPORARY } ] [ SECURE ] FUNCTION [ IF NOT EXISTS ] <name> ( [ <arg_name> <arg_data_type> [ DEFAULT <default_value> ] ] [ , ... ] ) [ COPY GRANTS ] RETURNS { <result_data_type> | TABLE ( <col_name> <col_data_type> [ , ... ]...
也可以构造简单的query访问一个表的不同版本。 SELECT new.key, new.value, old.value FROM my_table new JOIN my_table AT(OFFSET => -86400) old -- 1 day ago ON new.key = old.key WHERE new.value <> old.value; snowflake引入了UNDROP关键字来快速恢复意外删除的表、schema或者整个database。