Forum Discussion

Impactful Individual

10 years ago

Solved

append connection only queries

Each quarter, CMS publishes new financial data for hospitals. The reports correctly stack up to each other--so it's an ideal append situation. They are reasonably large (20mm rows per year and thre...

pqian

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
 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
  Combine

You 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,

ImkeF

Community Champion

10 years ago

Yes, this is Power BI - as every query will be loaded to the model.

So in order to proceed as you've already suggested, you copy the step(s) that load the data instead of duplicating the whole query.

As long as you stay in one query, the output will alway stay one table that is connected to the model.

Your combine would look like this: Table.Combine({"LastStepOfFirstPull", "LastStepOfSecondPull", "LastStepOf3rdPull",...})

ThomasDay

Impactful Individual

10 years ago

Thank you, this sounds promising!.. (As a disclaimer, I am still plowing thru the definitive DAX guide--M is for Data Monkey is next but it doesn't seem like a "M" language book. )

If I understand what you're saying...with the Query shown below as it exists now--I copy everything below the "let", change the name to Source2 = and then add a Table.Combine statement? (This is a connection only, if that matters)

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"

Then the Table.Combine? What's the table name for the combine statement?

Thank you, Tom

Thanks,

Tom

pqian

Microsoft Employee

10 years ago

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
  Combine

You 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,

ThomasDay
Impactful Individual
10 years ago
pqian--this looks great. I'm not at my db tomorrow until mid day, but will then experiment and report back. (What does the "in" line at the end of the query do if I can ask?)

So there is only one query, the Table.Combine would run and append each of the tables resulting from the GetData parameters into one data model table. Brilliant...

Thank you...I'm looking forward to giving this a go,
Tom

PS: is there an "M" reference or resource you'd recommend for when I've finished the Definitive DAX Guide.

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