VALUESSELECT 문에서 FROM 절의 VALUES 하위 절은 유한한 행 세트를 형성하는 데 사용할 상수 세트를 지정하도록 해줍니다.(INSERT 문의 VALUES 절에 대한 자세한 내용은 INSERT 문의 설명서를 참조...
selectarray_to_string(array_construct_compact(column1, column2, column3),' ')fromvalues('a','b','c'), ('a',null,'c')
create or replace table monthly_sales(empid int, amount int, month text) as select * from values (1, 10000, 'JAN'), (1, 400, 'JAN'), (2, 4500, 'JAN'), (2, 35000, 'JAN'), (1, 5000, 'FEB'), (1, 3000, 'FEB'), (2, 200, 'FEB'), (2, 90500, 'FEB'), (1, ...
create or replace table temp as (with data as (select * from values ('Test'),('Best'),('Rest'), ('Lost and found')) select * from data); select * from temp; DECLARE res RESULTSET; col_name VARCHAR; select_statement VARCHAR; BEGIN col_name := 'COLUMN1'; select_statement := ...
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 ...
nameVARCHAR, ageINT ); --插入数据 INSERTINTOmy_table(id,name,age) VALUES(1,'Alice',25), (2,'Bob',30), (3,'Charlie',35); --查询数据 SELECT*FROMmy_table; --更新数据 UPDATEmy_table SETage=40 WHEREid=2; --删除数据 DELETEFROMmy_table WHEREid=3; ``` 这只是SnowflakeSQL...
# 创建游标cur=conn.cursor()# 执行SQL查询cur.execute("SELECT * FROM EMPLOYEES")# 获取查询结果results=cur.fetchall()# 将结果转换为pandas DataFrameimportpandasaspd df=pd.DataFrame(results,columns=[column[0]forcolumnincur.description])# 显示数据print(df)# 关闭游标cur.close() ...
(`stub`) ) ENGINE=InnoDB; begin; REPLACE INTO Tickets64 (stub) VALUES ('a'); SELECT LAST...
SELECT [ TOP <n> ] ... [ INTO ... ] [ FROM ... [ AT | BEFORE ... ] [ CHANGES ... ] [ CONNECT BY ... ] [ JOIN ... ] [ LATERAL ... ] [ MATCH_RECOGNIZE ... ] [ PIVOT | UNPIVOT ... ] [ VALUES ... ] ...
This example shows how to select all columns inemployee_tablewith names that containidand prependingDEPT-to the values in thedepartment_idcolumn: SELECT*ILIKE'%id%'REPLACE('DEPT-'||department_idASdepartment_id)FROMemployee_table; +---+---+| EMPLOYEE_ID | DEPARTMENT_ID ||---+---|| 101...