syntaxsql 複製 [ FROM { } [ , ...n ] ] ::= { table_or_view_name [ FOR SYSTEM_TIME <system_time> ] [ [ AS ] table_alias ] [ <tablesample_clause> ] [ WITH ( < table_hint > [ [ , ] ...n ] ) ] | rowset_function [ [ AS ] table_alias ] [ ( bulk_column_...
syntaxsql 複製 [ FROM { } [ , ...n ] ] ::= { table_or_view_name [ FOR SYSTEM_TIME <system_time> ] [ [ AS ] table_alias ] [ <tablesample_clause> ] [ WITH ( < table_hint > [ [ , ] ...n ] ) ] | rowset_function [ [ AS ] table_alias ] [ ( bulk_column_...
APIVOTused to rotate the data from one column into multiple columns.
(<SELECT query that produces the data>)AS<alias for the source query>PIVOT(<aggregation function>(<column being aggregated>)FOR<column that contains the values that become column headers>IN(<first pivoted column>,<second pivoted column>, ...<last pivoted column>) )AS<alias for the pivo...
(<SELECT query that produces the data>)AS<alias for the source query>PIVOT(<aggregation function>(<column being aggregated>)FOR<column that contains the values that become column headers>IN(<first pivoted column>,<second pivoted column>, ...<last pivoted column>) )AS<alias for the pivot ...
(<SELECT query that produces the data>)AS<alias for the source query>PIVOT(<aggregation function>(<column being aggregated>)FOR<column that contains the values that become column headers>IN(<first pivoted column>,<second pivoted column>, ...<last pivoted column>) )AS<alias for the pivot ...
syntaxsql コピー [ FROM { } [ , ...n ] ] ::= { table_or_view_name [ FOR SYSTEM_TIME <system_time> ] [ [ AS ] table_alias ] [ <tablesample_clause> ] [ WITH ( < table_hint > [ [ , ] ...n ] ) ] | rowset_function [ [ AS ] table_alias ] [ ( bulk_column...
[last pivoted column] AS <column name> FROM (<SELECT query that produces the data>) AS <alias for the source query> PIVOT ( <aggregation function>(<column being aggregated>) FOR [<column that contains the values that will become column headers>] IN ( [first pivoted column], [second ...
syntaxsql复制 [FROM{} [ , ...n ] ]::={table_or_view_name[FORSYSTEM_TIME<system_time>] [ [AS]table_alias] [<tablesample_clause>] [WITH(< table_hint >[ [ , ] ...n ] ) ] |rowset_function[ [AS]table_alias] [ (bulk_column_alias[ , ...n ] ) ] |user_defined_function...
在SQL 中,数据透视表(Pivot Tables)/逆透视(UNPivot)是一种技术,用于将数据从行转换为列,或者反之/逆透视(UNPivot),以提供汇总的数据视图。它允许您根据指定的条件将行转换为列或列转换为行,对数据进行聚合。 接下的示例我们以smartnotebook 内置的DataFrameSQL(dfSQL) 为进行示例介绍数据透视表(Pivot Tables)/...