Teradata Insert Error: ValueError: The truth value of a DataFrame is ambiguous
Teradata Insert Error: ValueError: The truth value of a DataFrame is ambiguous
我正在尝试将 pandas 数据帧插入 Teradata 并将 运行 插入此错误。与 Teradata 的连接正在运行,因为我能够一次插入一条记录的相同数据。请帮忙。
import pandas as pd
import teradata as td
Car_Sales = pd.DataFrame([
{"Sale_Dt":"2019-10-01", "Brand":"Mercedes","Sale_Type":"New","Dealer_Type":"Urban","SalesVol":"5"},
{"Sale_Dt":"2019-10-02", "Brand":"BMW","Sale_Type":"Used","Dealer_Type":"Sub-Urban","SalesVol":"3"},
])
udaExec = td.UdaExec()
with udaExec.connect(method="odbc",DSN = "dsn1",driver = 'Teradata Database ODBC Driver 16.20') as session:
#session.execute("INSERT INTO db.tbl_Cars (Sale_Dt,Brand,Sale_Type,Dealer_Type,SalesVol) VALUES (?,?,?,?,?)",("2019-10-01","Mercedes","New","Urban",5))
query2 = "INSERT INTO db.tbl_Cars"
session.execute(query2,Car_Sales,batch=True)
错误:
ValueError:DataFrame 的真值不明确。使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()。
这可能是因为您直接将 DataFrame 传递给 execute
。此外,对于批量插入,文档说您必须使用 executemany
。
一个小例子-
session.executemany("""INSERT INTO employee (id, firstName, lastName, dob)
VALUES (?, ?, ?, ?)""",
((1,"James", "Kirk", "2233-03-22"),
(2,"Jean-Luc", "Picard", "2305-07-13")),
batch=True)
因此,在您的情况下,它将是
with udaExec.connect(method="odbc",DSN = "dsn1",driver = 'Teradata Database ODBC Driver 16.20') as session:
#session.execute("INSERT INTO db.tbl_Cars (Sale_Dt,Brand,Sale_Type,Dealer_Type,SalesVol) VALUES (?,?,?,?,?)",("2019-10-01","Mercedes","New","Urban",5))
#No. of ? must be equal to number of fields in each tuple
query2 = "INSERT INTO db.tbl_Cars VALUES (?, ?, ...)"
data = tuple(tuple(x) for x in Car_Sales.values)
session.executemany(query2, data, batch=True)
有关详细信息,请查看 teradata
的文档
我正在尝试将 pandas 数据帧插入 Teradata 并将 运行 插入此错误。与 Teradata 的连接正在运行,因为我能够一次插入一条记录的相同数据。请帮忙。
import pandas as pd
import teradata as td
Car_Sales = pd.DataFrame([
{"Sale_Dt":"2019-10-01", "Brand":"Mercedes","Sale_Type":"New","Dealer_Type":"Urban","SalesVol":"5"},
{"Sale_Dt":"2019-10-02", "Brand":"BMW","Sale_Type":"Used","Dealer_Type":"Sub-Urban","SalesVol":"3"},
])
udaExec = td.UdaExec()
with udaExec.connect(method="odbc",DSN = "dsn1",driver = 'Teradata Database ODBC Driver 16.20') as session:
#session.execute("INSERT INTO db.tbl_Cars (Sale_Dt,Brand,Sale_Type,Dealer_Type,SalesVol) VALUES (?,?,?,?,?)",("2019-10-01","Mercedes","New","Urban",5))
query2 = "INSERT INTO db.tbl_Cars"
session.execute(query2,Car_Sales,batch=True)
错误: ValueError:DataFrame 的真值不明确。使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()。
这可能是因为您直接将 DataFrame 传递给 execute
。此外,对于批量插入,文档说您必须使用 executemany
。
一个小例子-
session.executemany("""INSERT INTO employee (id, firstName, lastName, dob)
VALUES (?, ?, ?, ?)""",
((1,"James", "Kirk", "2233-03-22"),
(2,"Jean-Luc", "Picard", "2305-07-13")),
batch=True)
因此,在您的情况下,它将是
with udaExec.connect(method="odbc",DSN = "dsn1",driver = 'Teradata Database ODBC Driver 16.20') as session:
#session.execute("INSERT INTO db.tbl_Cars (Sale_Dt,Brand,Sale_Type,Dealer_Type,SalesVol) VALUES (?,?,?,?,?)",("2019-10-01","Mercedes","New","Urban",5))
#No. of ? must be equal to number of fields in each tuple
query2 = "INSERT INTO db.tbl_Cars VALUES (?, ?, ...)"
data = tuple(tuple(x) for x in Car_Sales.values)
session.executemany(query2, data, batch=True)
有关详细信息,请查看 teradata
的文档