Table.Join(table1 as table, key1 as any, table2 as table, key2 as any, optional joinKind as nullable number, optional joinAlgorithm as nullable number, optional keyEqualityComparers as nullable list) as table 关于基于key1(对于 table1)和 key2(对于 table2)所选择的键列的值的相等性,联接 ...
[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"), {"...
3、Table.NestedJoin函数 语法:Table.NestedJoin(表格1,"联接列",表格2,"联接列","新列名",联接方式) 这个函数和Table.Join的区别是Table.NestedJoin它联接后的结果不是列表,是一个表格:
[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"), {"...
JoinSide.Left:相当于内部的效果 JoinSide.Right:相当于左外部的效果 扩展: 左外部合并查询 = Table.AddJoinColumn( 表 1,{"表1匹配列1",...,"表1匹配列n"}, 表 2,{"表2匹配列1",...,"表2匹配表n"}, "新列名") 模糊匹配的合并查询
Power Query M 复制 Table.FuzzyJoin( Table.FromRecords( { [CustomerID = 1, FirstName1 = "Bob", Phone = "555-1234"], [CustomerID = 2, FirstName1 = "Robert", Phone = "555-4567"] }, type table [CustomerID = nullable number, FirstName1 = nullable text, Phone = nullable text] ...
https://docs.microsoft.com/zh-cn/powerquery-m/table-join https://blog.crossjoin.co.uk/2020/06/07/optimising-the-performance-of-power-query-merges-in-power-bi-part-3-table-join-and-sortmerge/ https://radacad.com/power-query-library-of-functions-shared-keyword...
另外,当你准备从两个不同的数据库中导入数据并进行合并查询,比如SQL Server和 Oracle,两者都支持从文件夹中获取数据并排序,这个过程中的排序的时间,很有可能会小于使用Table.Join和SortMerge时节省的时间,所以,这么看还是划算。 另外,经常查询一下M语言的文档,你会发现很多有意思的函数,尤其是相似的但却能实现不...
JoinSide.Left:相当于内部的效果 JoinSide.Right:相当于左外部的效果 扩展: 左外部合并查询 = Table.AddJoinColumn( 表 1,{"表1匹配列1",...,"表1匹配列n"}, 表 2,{"表2匹配列1",...,"表2匹配表n"}, "新列名") 模糊匹配的合并查询
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