Table.Join
Joins the rows from the two tables that match based on the given keys.
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
Joins the rows of table1
with the rows of table2
based on the equality of the values of the key columns selected by key1
(for table1
) and key2
(for table2
).
By default, an inner join is performed, however an optional joinKind
may be included to specify the type of join. Options include:
JoinKind.Inner
JoinKind.LeftOuter
JoinKind.RightOuter
JoinKind.FullOuter
JoinKind.LeftAnti
JoinKind.RightAnti
An optional set of
keyEqualityComparers
may be included to specify how to compare the key columns. This parameter is currently intended for internal use only.Examples
Example #1
Join two tables using a single key column.
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
Join two tables that have conflicting column names, using multiple key columns.
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