Table.Join
Une as duas linhas das duas tabelas correspondentes com base nas chaves especificadas.
Syntax
Table.Join(
table1 as table,
key1 as any,
table2 as table,
key2 as any,
optional joinKind as JoinKind.Type,
optional joinAlgorithm as JoinAlgorithm.Type,
optional keyEqualityComparers as list
) as table
Remarks
Une as linhas de table1
com as linhas de table2
com base na igualdade dos valores das colunas de chave selecionadas por key1
(para table1
) e key2
(para table2
).
Por padrão, uma junção interna é executada, mas uma opcional joinKind
pode ser incluída para especificar o tipo de junção. As opções incluem:
JoinKind.Inner
JoinKind.LeftOuter
JoinKind.RightOuter
JoinKind.FullOuter
JoinKind.LeftAnti
JoinKind.RightAnti
Um conjunto opcional de
keyEqualityComparers
pode ser incluído para especificar como comparar as colunas de chave. Esse recurso é somente para fins de uso interno.Examples
Example #1
Unir duas tabelas usando uma única coluna de chave.
Table.Join(
Table.FromRecords({
[CustomerID = 1, Name = "Bob", Phone = "123-4567"],
[CustomerID = 2, Name = "Jim", Phone = "987-6543"],
[CustomerID = 3, Name = "Paul", Phone = "543-7890"],
[CustomerID = 4, Name = "Ringo", Phone = "232-1550"]
}),
"CustomerID",
Table.FromRecords({
[OrderID = 1, CustomerID = 1, Item = "Fishing rod", Price = 100.0],
[OrderID = 2, CustomerID = 1, Item = "1 lb. worms", Price = 5.0],
[OrderID = 3, CustomerID = 2, Item = "Fishing net", Price = 25.0],
[OrderID = 4, CustomerID = 3, Item = "Fish tazer", Price = 200.0],
[OrderID = 5, CustomerID = 3, Item = "Bandaids", Price = 2.0],
[OrderID = 6, CustomerID = 1, Item = "Tackle box", Price = 20.0],
[OrderID = 7, CustomerID = 5, Item = "Bait", Price = 3.25]
}),
"CustomerID"
)
Result:
Table.FromRecords({
[CustomerID = 1, Name = "Bob", Phone = "123-4567", OrderID = 1, Item = "Fishing rod", Price = 100],
[CustomerID = 1, Name = "Bob", Phone = "123-4567", OrderID = 2, Item = "1 lb. worms", Price = 5],
[CustomerID = 2, Name = "Jim", Phone = "987-6543", OrderID = 3, Item = "Fishing net", Price = 25],
[CustomerID = 3, Name = "Paul", Phone = "543-7890", OrderID = 4, Item = "Fish tazer", Price = 200],
[CustomerID = 3, Name = "Paul", Phone = "543-7890", OrderID = 5, Item = "Bandaids", Price = 2],
[CustomerID = 1, Name = "Bob", Phone = "123-4567", OrderID = 6, Item = "Tackle box", Price = 20]
})
Example #2
Ingresse em duas tabelas com nomes de coluna em conflito, usando várias colunas de chave.
let
customers = Table.FromRecords({
[TenantID = 1, CustomerID = 1, Name = "Bob", Phone = "123-4567"],
[TenantID = 1, CustomerID = 2, Name = "Jim", Phone = "987-6543"]
}),
orders = Table.FromRecords({
[TenantID = 1, OrderID = 1, CustomerID = 1, Name = "Fishing rod", Price = 100.0],
[TenantID = 1, OrderID = 2, CustomerID = 1, Name = "1 lb. worms", Price = 5.0],
[TenantID = 1, OrderID = 3, CustomerID = 2, Name = "Fishing net", Price = 25.0]
})
in
Table.Join(
customers,
{"TenantID", "CustomerID"},
Table.PrefixColumns(orders, "Order"),
{"Order.TenantID", "Order.CustomerID"}
)
Result:
Table.FromRecords({
[TenantID = 1, CustomerID = 1, Name = "Bob", Phone = "123-4567", Order.TenantID = 1, Order.OrderID = 1, Order.CustomerID = 1, Order.Name = "Fishing rod", Order.Price = 100],
[TenantID = 1, CustomerID = 1, Name = "Bob", Phone = "123-4567", Order.TenantID = 1, Order.OrderID = 2, Order.CustomerID = 1, Order.Name = "1 lb. worms", Order.Price = 5],
[TenantID = 1, CustomerID = 2, Name = "Jim", Phone = "987-6543", Order.TenantID = 1, Order.OrderID = 3, Order.CustomerID = 2, Order.Name = "Fishing net", Order.Price = 25]
})
Category
Table.Transformation