联合¶
所述的 UNION 操作符用于合并两个 SELECT 语句的结果集:
SELECT 语句在 UNION 子句中必须具有相同的列数。列也必须具有相似的数据类型。
UNION 的输出是存在于任何一个输入的 SELECT 语句中的行的集合。
UNION 运算符默认只选择输入中的不同值。要允许重复值,请使用 UNION ALL:
示例用法¶
>>>@bodo.jit
... def g1(df):
... bc = bodosql.BodoSQLContext({"CUSTOMERS":df1, "PAYMENTS":df2})
... query = "SELECT name, \"paymentType\" FROM customers JOIN payments ON customers.customerID = payments.customerID WHERE \"paymentType\" in ('WIRE')
... UNION SELECT name, paymentType FROM customers JOIN payments ON customers.customerID = payments.customerID WHERE balance < 1000"
... res = bc.sql(query)
... return res
>>>@bodo.jit
... def g2(df):
... bc = bodosql.BodoSQLContext({"customers":df1, "payments":df2})
... query = "SELECT name, \"paymentType\" FROM customers JOIN payments ON customers.customerID = payments.customerID WHERE \"paymentType\" in ('WIRE')
... UNION ALL SELECT name, paymentType FROM customers JOIN payments ON customers.customerID = payments.customerID WHERE balance < 1000"
... res = bc.sql(query)
... return res
>>>customer_df = pd.DataFrame({
... "CUSTOMERID": [0, 2, 4, 5, 7,],
... "NAME": ["Deangelo Todd","Nikolai Kent","Eden Heath", "Taliyah Martinez","Demetrius Chavez",],
... "ADDRESS": ["223 Iroquois LanenWest New York, NJ 07093","37 Depot StreetnTaunton, MA 02780",
... "639 Maple St.nNorth Kingstown, RI 02852","93 Bowman Rd.nChester, PA 19013",
... "513 Manchester Ave.nWindsor, CT 06095",],
... "BALANCE": [1123.34, 2133.43, 23.58, 8345.15, 943.43,]
... })
>>>payment_df = pd.DataFrame({
... "CUSTOMERID": [0, 1, 4, 6, 7],
... "paymentType": ["VISA", "VISA", "AMEX", "VISA", "WIRE",],
... })
>>>g1(customer_df, payment_df) # UNION
NAME paymentType BALANCE
0 Demetrius Chavez WIRE 943.43
0 Eden Heath AMEX 23.58
>>>g2(customer_df, payment_df) # UNION ALL
NAME paymentType BALANCE
0 Demetrius Chavez WIRE 943.43
0 Eden Heath AMEX 23.58
1 Demetrius Chavez WIRE 943.43