Table.Join

Rindas no abām atbilstošajām tabulām tiek savienotas, pamatojoties uz norādītajām atslēgām.

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

Savieno rindas no table1 ar rindām no table2, ņemot vērā vērtības key1 (vērtībai table1) un key2 (vērtībai table2) atlasīto atslēgas kolonnu vērtību vienlīdzību.

Pēc noklusējuma iekšējais savienojums tiek izveidots, tomēr var tikt ietverts papildu joinKind, lai norādītu savienojuma veidu. Ir pieejamas šādas opcijas:

• JoinKind.Inner
• JoinKind.LeftOuter
• JoinKind.RightOuter
• JoinKind.FullOuter
• JoinKind.LeftAnti
• JoinKind.RightAnti
• JoinKind.LeftSemi
• JoinKind.RightSemi

Var tikt iekļauta papildu keyEqualityComparers kopa, lai norādītu, kā ir jāveic atslēgas kolonnu salīdzināšana. Šobrīd šis parametrs ir paredzēts tikai iekšējai lietošanai.

Examples

Example #1

Apvienojiet divas tabulas, izmantojot vienu galveno kolonnu.

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

Savienojiet divas tabulas ar konfliktējošiem kolonnu nosaukumiem, izmantojot vairākas atslēgas kolonnas.

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