Microsoft SQL和R,存储过程和k均值 [英] Microsoft SQL and R, stored procedure and k-means
问题描述
我在这里是新来的,希望能有所帮助.
I am new here, hope to help and be helped.
但是,我正在使用新的Microsoft Sql Server Management Studio(2016),它使用的新功能暗示了与R的集成. 首先,我的目标是创建一个存储过程,该存储过程使用x和y列执行K-Means聚类.
However, I am working on the new Microsoft Sql Server Management Studio (2016), using its new features that imply the integration with R. First of all, my goal is to create a stored procedure that perform a K-Means clustering with x and y column.
问题在于我被困在中间,因为我无法拒绝在线文档.
The problem is that I am stuck in the middle, because I am not able to decline the online documentation to my case.
此处是脚本
CREATE TABLE [dbo].[ModelTable]
(
column_name1 varchar(8000)
)
;
CREATE TABLE [dbo].[ResultTable]
(
column_name1 varchar(8000),
column_name2 varchar(8000),
column_name3 varchar(8000),
column_name4 varchar(8000)
)
;
CREATE PROCEDURE [dbo].[kmean]
AS
BEGIN
DECLARE @inquery nvarchar(max) = N'
select name,x,y FROM [dbtable]
'
-- then I decide to insert the model in a table: this is similar to the documentation, but I am not sure it fits well.
INSERT INTO [dbo].[ModelTable]
EXEC sp_execute_external_script @language = N'R',
@script = N'
## Here I create model: this is one of the biggest problem, because I tried to create a data frame with the data, but I do not know if here,
## in the R code, the data are read in this way. Generally in "pure" R, I write data.frame(sourcedata$x,sourcedata$y), but here, where is source of data?
## In the documentation it is used ImputDataSet, so maybe I could do:
trained_model <- kmeans(data.frame(ImputDataSet$x,ImputDataSet$y),8)
-- If everything is ok (doubtfully) I should have the model. And here, the part that I really cannot handle.
-- I'd like to have a table [ResultTable] with name, variable x, variable y, and trainedmodel$cluster.
',
@input_data_1 = @inquery,
@output_data_1_name = N'trained_model'
;
END
GO
EXEC kmean
还有很多问题等等,由于这是MSSMS中的一个相当新的功能,因此Internet上没有大量的帮助等. 预先感谢
Well there many problems and so on and, due the fact that this is a quite brand new feature in MSSMS, there are not a great quantity of help etc. in the Internet. Thanks in advance
推荐答案
我们可以尝试以下操作:
We can try the following:
CREATE TABLE #tempData (x float not null, y float not null);
INSERT INTO #tempData VALUES (0, 0), (0.1, 0.1), (1, 1), (1.1, 1.1);
CREATE TABLE #output (x float, y float, Cluster int);
INSERT INTO #output
EXECUTE sp_execute_external_script
@language = N'R'
, @script = N'
trained_model <- kmeans(df[, c("x", "y")], 2)
df$cluster <- trained_model$cluster
'
, @input_data_1 = N'SELECT * from #tempData'
, @output_data_1_name = N'df'
, @input_data_1_name = N'df';
SELECT *
FROM #output
输出:
x y Cluster
0 0 1
0.1 0.1 1
1 1 2
1.1 1.1 2
请注意,我将输入和输出数据指定为df
.默认值为InputDataSet
和OutputDataSet
.
Note that I specified my input- and output data to be df
. The defaults are InputDataSet
and OutputDataSet
.
如果您有更长的R脚本:我建议您在R环境中编写和测试它们,然后将它们保存在一个包中,然后简单地加载并调用它们.
If you have longer R-scripts: I would recommend writing and testing them in your R enviroment, then keep them in a package and simply load and call these instead.
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