Forum Discussion
append connection only queries
- 10 years ago
ThomasDay actually, making one query per data set is an acceptable solution, you can consider these tables "backing queries" and choose not to load them (right click -> uncheck Loaded to report). You can even organize them into a folder for browsing needs.
Then, you can have one master query that uses Table.Combine() for all these backing queries, and load that one to the report.
This is probably the easist solution as you don't have to write a single line of M code.
Now, if you want to do all of this in one query, you are going to have to write something. Starting from your query:
let Source1 = Csv.Document(File.Contents("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"),[Delimiter=",", Encoding=1252]), #"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}), #"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}), #"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}), #"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}}) in #"Changed Type1"Let's parameterize the CSV path:
let
GetData = (path) => let
Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]),
#"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}),
#"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}),
#"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}})
in
#"Changed Type1",
FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV")
in
FY14Then add FY15, FY16, etc:
let GetData = (path) => let Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]), #"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}), #"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}), #"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}), #"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}}) in #"Changed Type1", FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"), FY15 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2015_RPT.CSV"), FY16 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2016_RPT.CSV") ... in FY16Then combine them into the final result
let GetData = (path) => let Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]), #"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}), #"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}), #"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}), #"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}}) in #"Changed Type1", FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"), FY15 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2015_RPT.CSV"), FY16 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2016_RPT.CSV") Combine = Table.Combine({ FY14, FY15, FY16, ... }) in CombineYou can even dynamically generate the FY** list and have it respond to a file system change, and automatically pick up new CSV files in a folder.
(ps., i haven't tested the queries above, so there maybe syntax errors, but you get the idea)
Regards,
PQ
ThomasDay actually, making one query per data set is an acceptable solution, you can consider these tables "backing queries" and choose not to load them (right click -> uncheck Loaded to report). You can even organize them into a folder for browsing needs.
Then, you can have one master query that uses Table.Combine() for all these backing queries, and load that one to the report.
This is probably the easist solution as you don't have to write a single line of M code.
Now, if you want to do all of this in one query, you are going to have to write something. Starting from your query:
let
Source1 = Csv.Document(File.Contents("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"),[Delimiter=",", Encoding=1252]),
#"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}),
#"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}),
#"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}})
in
#"Changed Type1"Let's parameterize the CSV path:
let
GetData = (path) => let
Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]),
#"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}),
#"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}),
#"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}})
in
#"Changed Type1",
FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV")
in
FY14
Then add FY15, FY16, etc:
let
GetData = (path) => let
Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]),
#"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}),
#"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}),
#"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}})
in
#"Changed Type1",
FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"),
FY15 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2015_RPT.CSV"),
FY16 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2016_RPT.CSV")
...
in
FY16 Then combine them into the final result
let
GetData = (path) => let
Source1 = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252]),
#"Renamed Columns" = Table.RenameColumns(Source1, {{"Column1", "ReptRecNo"}, {"Column2", "CtrlType(2)"}, {"Column3", "ProvdrNo"}, {"Column4", "NPI"}, {"Column5", "ReptStatus(1)"}, {"Column6", "FYBeginDt"}, {"Column7", "FYEndDt"}}),
#"Renamed Columns1" = Table.RenameColumns(#"Renamed Columns",{{"Column8", "HCRISDt"}}),
#"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"ReptRecNo", "CtrlType(2)", "ProvdrNo", "FYBeginDt", "FYEndDt", "HCRISDt"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Other Columns",{{"ProvdrNo", Int64.Type}, {"FYBeginDt", type date}, {"FYEndDt", type date}, {"HCRISDt", type date}, {"ReptRecNo", Int64.Type}})
in
#"Changed Type1",
FY14 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2014_RPT.CSV"),
FY15 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2015_RPT.CSV"),
FY16 = GetData("C:\Users\thomas\Dropbox\FTRatings\FTRatingsData-Models\DataLoadToPrimaryModelFile\HOSP10_2016_RPT.CSV")
Combine = Table.Combine({ FY14, FY15, FY16, ... })
in
CombineYou can even dynamically generate the FY** list and have it respond to a file system change, and automatically pick up new CSV files in a folder.
(ps., i haven't tested the queries above, so there maybe syntax errors, but you get the idea)
Regards,
PQ
- ThomasDay10 years agoImpactful Individual
I'll be interested to hear as well, though all of my queries are stable and have handled new files I've put in the folders. Seems like it must be related to the data source though since the code works well with putting new, identically configured files into a folder. Is that possible?
- Kane10 years agoHelper I
Hi, ThomasDay
With pqian's method (the nested "let-in" structure), I can easily get data from different files located in and append them to one query, based on which I can create my measures, visuals and reports.
I can also refresh the data in PowerBI Desktop, everything works well. However, after published my report to the PowerBI online, I cannot schedule a refresh for the dataset online.
The problem can be solved by removing the nested "let-in" structure.
I am puzzled on this. I like pqian's method, but it seems that it will lead to a refesh problem. Hope someone can help me on this.
Best Regards,
Kane
- ImkeF10 years agoCommunity Champion
This doesn't seem to be an issue with the method, but with the datasource.
The code you've provided is trowing 404-error-messages in PBI Desktop here already.