Merge DAX：有选择地合并两个表（基于行中的值）

我有两张桌子：

带有部门和部门内实体的表

表中列出了每个实体或部门中所有实体的项目

一些项目特定于[组织]，而其他项目则与[部门]中的所有[组织]相关。在这些情况下，使用“所有实体”值

我想基于[Division]合并这两个表，但仅针对Plan[Org.]=“所有实体”，而具有其他值（例如“France”、“Germany”）的行应该只是重复

生成的表应如下所示：

表之间的物理关系不起作用，因为组织表中缺少“所有实体”值，但如果需要，可以在项目表中添加额外的[Entity id]列

我更喜欢DAX。PowerQuery中的解决方案不太受欢迎，因为我的M语言不太流利，但如果 可用

---

谢谢大家!

在电源查询中遵循以下步骤-

步骤1:在表组织中创建自定义列*，如下所示-

这是输出-

第二步：从表项目中创建2复制表，并将其命名为-项目所有项目和项目其他项目

第三步：转到高级编辑器，查看表项目所有内容，并替换以下代码-

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXItLcovSAUy3IoS85JBjICi/KzU5BIFQwUFBaVYnWglI2Rl7qlFuYl5lUjqjGDqjPGrM4YqM0FW5piTo5CaV5JZkplajKTWBGamKRGKTaFqzYBizhmZeYkgPYnFJUhKzGDmmSOpwWGcuVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, Division = _t, #"Org." = _t, #"Project  " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"Division", type text}, {"Org.", type text}, {"Project  ", type text}}),
    #"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Division", Text.Trim, type text}, {"Org.", Text.Trim, type text}}),
    #"Filtered Rows" = Table.SelectRows(#"Trimmed Text", each ([#"Org."] = "All entities")),
    #"Merged Queries" = Table.NestedJoin(#"Filtered Rows", {"Division", "Org."}, Organization, {"Division", "Custom"}, "Organization", JoinKind.LeftOuter),
    #"Expanded Organization" = Table.ExpandTableColumn(#"Merged Queries", "Organization", {"Entity  "}, {"Organization.Entity  "}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded Organization",{"id", "Division", "Org.", "Organization.Entity  ", "Project  "}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Organization.Entity  ", "Entity"}})
in
    #"Renamed Columns"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXItLcovSAUy3IoS85JBjICi/KzU5BIFQwUFBaVYnWglI2Rl7qlFuYl5lUjqjGDqjPGrM4YqM0FW5piTo5CaV5JZkplajKTWBGamKRGKTaFqzYBizhmZeYkgPYnFJUhKzGDmmSOpwWGcuVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, Division = _t, #"Org." = _t, #"Project  " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"Division", type text}, {"Org.", type text}, {"Project  ", type text}}),
    #"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Division", Text.Trim, type text}, {"Org.", Text.Trim, type text}}),
    #"Filtered Rows" = Table.SelectRows(#"Trimmed Text", each [#"Org."] <> "All entities"),
    #"Merged Queries" = Table.NestedJoin(#"Filtered Rows", {"Division", "Org."}, Organization, {"Division", "Entity  "}, "Organization", JoinKind.LeftOuter),
    #"Expanded Organization" = Table.ExpandTableColumn(#"Merged Queries", "Organization", {"Entity  "}, {"Organization.Entity  "}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded Organization",{"id", "Division", "Org.", "Organization.Entity  ", "Project  "}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Organization.Entity  ", "Entity"}})
in
    #"Renamed Columns"

第4步：转到表项目的高级编辑器，并替换以下代码-

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXItLcovSAUy3IoS85JBjICi/KzU5BIFQwUFBaVYnWglI2Rl7qlFuYl5lUjqjGDqjPGrM4YqM0FW5piTo5CaV5JZkplajKTWBGamKRGKTaFqzYBizhmZeYkgPYnFJUhKzGDmmSOpwWGcuVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, Division = _t, #"Org." = _t, #"Project  " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"Division", type text}, {"Org.", type text}, {"Project  ", type text}}),
    #"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Division", Text.Trim, type text}, {"Org.", Text.Trim, type text}}),
    #"Filtered Rows" = Table.SelectRows(#"Trimmed Text", each ([#"Org."] = "All entities")),
    #"Merged Queries" = Table.NestedJoin(#"Filtered Rows", {"Division", "Org."}, Organization, {"Division", "Custom"}, "Organization", JoinKind.LeftOuter),
    #"Expanded Organization" = Table.ExpandTableColumn(#"Merged Queries", "Organization", {"Entity  "}, {"Organization.Entity  "}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded Organization",{"id", "Division", "Org.", "Organization.Entity  ", "Project  "}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Organization.Entity  ", "Entity"}})
in
    #"Renamed Columns"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXItLcovSAUy3IoS85JBjICi/KzU5BIFQwUFBaVYnWglI2Rl7qlFuYl5lUjqjGDqjPGrM4YqM0FW5piTo5CaV5JZkplajKTWBGamKRGKTaFqzYBizhmZeYkgPYnFJUhKzGDmmSOpwWGcuVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, Division = _t, #"Org." = _t, #"Project  " = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"Division", type text}, {"Org.", type text}, {"Project  ", type text}}),
    #"Trimmed Text" = Table.TransformColumns(#"Changed Type",{{"Division", Text.Trim, type text}, {"Org.", Text.Trim, type text}}),
    #"Filtered Rows" = Table.SelectRows(#"Trimmed Text", each [#"Org."] <> "All entities"),
    #"Merged Queries" = Table.NestedJoin(#"Filtered Rows", {"Division", "Org."}, Organization, {"Division", "Entity  "}, "Organization", JoinKind.LeftOuter),
    #"Expanded Organization" = Table.ExpandTableColumn(#"Merged Queries", "Organization", {"Entity  "}, {"Organization.Entity  "}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded Organization",{"id", "Division", "Org.", "Organization.Entity  ", "Project  "}),
    #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Organization.Entity  ", "Entity"}})
in
    #"Renamed Columns"

这是最终输出-

---

我已经更改了表

项目的列名称。函数
CROSSJOIN
不希望有重复的列名<代码>组织机构

表相同

项目表

+------------+------------------+--------------+-----------+
| id_project | Division_project |     Org.     |  Project  |
+------------+------------------+--------------+-----------+
| 1          | Europe           | France       | Project 1 |
+------------+------------------+--------------+-----------+
| 2          | Europe           | Germany      | Project 2 |
+------------+------------------+--------------+-----------+
| 3          | Europe           | Germany      | Project 3 |
+------------+------------------+--------------+-----------+
| 4          | Europe           | All entities | Project 4 |
+------------+------------------+--------------+-----------+
| 5          | Europe           | All entities | Project 5 |
+------------+------------------+--------------+-----------+
| 6          | China            | East         | Project 6 |
+------------+------------------+--------------+-----------+
| 7          | China            | All entities | Project 7 |
+------------+------------------+--------------+-----------+

代码使用两个变量

\u directrel

和

\u allentity

，它们的输出对应于表。其中的每一个都使用一个由FILTER语句包围的

交叉连接。第一种方法使用部门和实体之间的直接关系。第二个变量仅使用分割作为链接，并仅对
所有实体
过滤
项目

在
RETURN
语句之后，有一个
UNION
语句，它在表之间进行联合，并由
SELECTCOLUMNS
包围，以控制列的顺序

Merge =
VAR _directrel =
    GROUPBY (
        FILTER (
            CROSSJOIN ( Organization, Project ),
            [Division] = [Division_project]
                && [Entity] = [Org.]
        ),
        [id_project],
        [Division],
        [Org.],
        [Entity],
        [Project]
    )
VAR _allentity =
    GROUPBY (
        FILTER (
            CROSSJOIN ( Organization, FILTER ( Project, [Org.] = "All Entities" ) ),
            [Division] = [Division_project]
        ),
        [id_project],
        [Division],
        [Org.],
        [Entity],
        [Project]
    )
RETURN
    SELECTCOLUMNS (
        UNION ( _allentity, _directrel ),
        "id", [id_project],
        "Division", [Division],
        "Org.", [Org.],
        "Entity", [Entity],
        "Project", [Project]
    )


输出：

谢谢你，安杰洛！也需要解释一下。帮个大忙！谢谢你，Mkrabani！我可以遵循你的解决方案。我们也将尝试此解决方案。甚至可能会坚持这一点。谢谢希望您能通过这种方式找到您的预期输出。
+------------+------------------+--------------+-----------+
| id_project | Division_project |     Org.     |  Project  |
+------------+------------------+--------------+-----------+
| 1          | Europe           | France       | Project 1 |
+------------+------------------+--------------+-----------+
| 2          | Europe           | Germany      | Project 2 |
+------------+------------------+--------------+-----------+
| 3          | Europe           | Germany      | Project 3 |
+------------+------------------+--------------+-----------+
| 4          | Europe           | All entities | Project 4 |
+------------+------------------+--------------+-----------+
| 5          | Europe           | All entities | Project 5 |
+------------+------------------+--------------+-----------+
| 6          | China            | East         | Project 6 |
+------------+------------------+--------------+-----------+
| 7          | China            | All entities | Project 7 |
+------------+------------------+--------------+-----------+

Merge =
VAR _directrel =
    GROUPBY (
        FILTER (
            CROSSJOIN ( Organization, Project ),
            [Division] = [Division_project]
                && [Entity] = [Org.]
        ),
        [id_project],
        [Division],
        [Org.],
        [Entity],
        [Project]
    )
VAR _allentity =
    GROUPBY (
        FILTER (
            CROSSJOIN ( Organization, FILTER ( Project, [Org.] = "All Entities" ) ),
            [Division] = [Division_project]
        ),
        [id_project],
        [Division],
        [Org.],
        [Entity],
        [Project]
    )
RETURN
    SELECTCOLUMNS (
        UNION ( _allentity, _directrel ),
        "id", [id_project],
        "Division", [Division],
        "Org.", [Org.],
        "Entity", [Entity],
        "Project", [Project]
    )