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,
selectarray_to_string(array_construct_compact(column1, column2, column3),' ')fromvalues('a','b','c'), ('a',null,'c')
...表中的列名 from 表名 ---指把表中的内容加到新创建的函数表中 where 表中的另一个列名>@变量名1 insert @变量名2values(...) end select *...from 函数名(表中的另一个列中的内容) 例如: CREATE FUNCTION PayRate (@rate money) RETURNS @table TABLE (EmployeeI...
SELECT v1.$2, v2.$2 FROM (VALUES (1, 'one'), (2, 'two')) AS v1 INNER JOIN (VALUES (1, 'One'), (3, 'three')) AS v2 WHERE v2.$1 = v1.$1; You can also specify aliases for the column names: SELECT c1, c2 FROM (VALUES (1, 'one'), (2, 'two')) AS v1 (...
INSERT INTO table1 (ID, varchar1, variant1) SELECT 4, 'Fourier', PARSE_JSON('{ "key1": "value1", "key2": "value2" }'); VALUES 句は16,384行に制限されます。この制限は、単一の INSERT INTO ... VALUES ステートメントと単一の INSERT INTO ... SELECT ... FROM VALUES ステ...
SELECTjson_data:address.cityAScityFROMmy_table; 2. 使用GET和GET_PATH函数 GET函数用于从JSON对象中检索单个字段的值,而GET_PATH函数用于检索嵌套字段的值。 示例 代码语言:javascript 复制 SELECTjson_data:get('name')ASname,json_data:get('age')ASageFROMmy_table; ...
semi_structured_data ( id INT, data VARIANT ); -- 插入 JSON 数据 INSERT INTO semi_structured_data (id, data) VALUES (1, PARSE_JSON('{"name": "Alice", "age": 30}')); -- 查询 JSON 数据中的字段 SELECT id, data:name::STRING AS name, data:age::INT AS age FROM semi_structured...
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...
# 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() ...
SELECT [ TOP <n> ] ... [ INTO ... ] [ FROM ... [ AT | BEFORE ... ] [ CHANGES ... ] [ CONNECT BY ... ] [ JOIN ... ] [ LATERAL ... ] [ MATCH_RECOGNIZE ... ] [ PIVOT | UNPIVOT ... ] [ VALUES ... ] ...