Table.Join
联接两个表中基于给定键匹配的行。
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
根据由 table1 (针对 table2)和 key1 (针对 table1)选择的键列值的等同性联接 key2 的行与 table2 的行。
默认执行内联接,但可包含可选的 joinKind 来指定联接类型。选项包括:
JoinKind.InnerJoinKind.LeftOuterJoinKind.RightOuterJoinKind.FullOuterJoinKind.LeftAntiJoinKind.RightAntiJoinKind.LeftSemiJoinKind.RightSemi
可包含 keyEqualityComparers 的可选集来指定如何比较键列。此参数目前仅适用于内部使用。
Examples
Example #1
使用单个键列联接两个表。
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
使用多个键列联接具有冲突列名的两个表。
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