Empty .csv file (after conversion to LWAPP)

has anyone encountered the above-mentioned? Flashing the AP from autonomous to lightweight generates the .csv file but it's empty.

I have seen this happen. usually it happens when I convert an AP, while connected to the network. It seems the conversion tool, will add the AP to the auth-list on the controller, but only seems to store a local .csv if it is not connected to the network.

Similar Messages

CSV File Content Conversion

Hello, I have a litte problem with the File-Adapter and the File Content Conversion.
We get csv-files in which are 2 structures
the first row contents headerinformations like invoicenumber and sumfields.
The following rows contents item-informations.
I want to convert the file in a xml-format like this:
<invoice>
   <invoiceheader>
     .... (information from the first row)
   </invoiceheader>
   <itemlist>
      <item>
          ... (information from 2. row )
      </item>
      <item>
          ... (information from 3. row )
      </item>
      <item>
          ... (information from last row )
      </item>
   </itemlist>
</invoice>
The csv-file looks like this:
In the csv-file i have no keys which determine the kind of row. I only know that the first row contains the headerinformation and the following rows (2. until last) contains the item informations.
Any idea ?
Kindly regards
Detlef Breitwieser

Hello anybody !
I want the conversion is done by the file-adapter -
and i have no keyvalues - that's the problem.
I only know - the 1. row contains the headerstructure and the following rows contains the itemstructure.
I configured the Fileadapter with this paramters (for an example)
xml.recordsetStructure=HeaderSum,1,Item,60000
xml.recordsetName=AvisRechnung
xml.recordsetsPerMessage=*
xml.documentName=Avis
xml.HeaderSum.fieldSeparator=;
xml.HeaderSum.structureTitle=head
xml.HeaderSum.fieldNames=head1,head2,head3,head4,head5,head6,head7,head8
xml.Item.fieldSeparator=;
xml.Item.structureTitle=item
xml.Item.fieldNames=item1,item2,item3,item4,item5,item6,item7,item8,item9
The Csv-File is this:
79;1616243;0;20050706;200401;RWE_DEBIT_AVIS_200401.txt;200401;978;
;R0921018;KM;IT;PROAUTO S.A.S.;DI S PRODAN & C;VIA AQUILEIA C/O APT GIULIANO;RONCHI DEI LEGIONARI (GO);IT00503570319
8,72325E+11;R0921013;KM;DE;AVIS AUTOVERMIETUNG GMBH&CO.KG;ZIMMERSMUEHLENWEG 21;61437 OBERURSEL, GERMANY;ST.NR.003/225/14000;DE-1650-38-067
8,72325E+11;R0921041;KM;DE;AVIS AUTOVERMIETUNG GMBH&CO.KG;ZIMMERSMUEHLENWEG 21;61437 OBERURSEL, GERMANY;ST.NR.003/225/14000;DE-1650-38-067
And the converted xml-file is :
<?xml version="1.0" encoding="utf-8"?>
<Avis>
<AvisRechnung>
     <head>
          <head1>79</head1>
          <head2>1616243</head2>
          <head3>0</head3>
          <head4>20050706</head4>
          <head5>200401</head5>
          <head6>RWE_DEBIT_AVIS_200401.txt</head6>
          <head7>200401</head7>
          <head8>978</head8>
     </head>
     <item>
          <item1></item1>
          <item2>R0921018</item2>
          <item3>KM</item3>
          <item4>IT</item4>
          <item5>PROAUTO S.A.S.</item5>
          <item6>DI S PRODAN & C</item6>
          <item7>VIA AQUILEIA C/O APT GIULIANO</item7>
          <item8>RONCHI DEI LEGIONARI (GO)</item8>
          <item9>IT00503570319</item9>
     </item>
     <item>
          <item1>8,72325E+11</item1>
          <item2>R0921013</item2>
          <item3>KM</item3>
          <item4>DE</item4>
          <item5>AVIS AUTOVERMIETUNG GMBH&CO.KG</item5>
          <item6>ZIMMERSMUEHLENWEG 21</item6>
          <item7>61437 OBERURSEL, GERMANY</item7>
          <item8>ST.NR.003/225/14000</item8>
          <item9>DE-1650-38-067</item9>
     </item>
     <item>
          <item1>8,72325E+11</item1>
          <item2>R0921041</item2>
          <item3>KM</item3>
          <item4>DE</item4>
          <item5>AVIS AUTOVERMIETUNG GMBH&CO.KG</item5>
          <item6>ZIMMERSMUEHLENWEG 21</item6>
          <item7>61437 OBERURSEL, GERMANY</item7>
          <item8>ST.NR.003/225/14000</item8>
          <item9>DE-1650-38-067</item9>
     </item>
</AvisRechnung>
</Avis>
But i want to group the items in an item with name <itemlist>. In this case the items appears under the node <AvisRechnung>

Power Query Doesn't Load Complete CSV FIle After Pivot Transform

Hello, After transforming a CSV file using the following code I can load the entire file (45,000 rows) into the Excel Data Model.
let
Source = Csv.Document(File.Contents("C:\Users\jd\Desktop\2014 JW Annual Review\ALL STORES 01-07-15 AR OPEN.csv"),null,",",null,1252),
#"First Row as Header" = Table.PromoteHeaders(Source),
#"Changed Type" = Table.TransformColumnTypes(#"First Row as Header",{{"AR-OPEN", type text}, {"SALE CO", type text}, {"NAME", type text}, {"N-CD", Int64.Type}, {"REFER", type text}, {"JRNL CO", type text}, {"SCHED", type text}, {"AGME.CO.ID", Int64.Type}, {"SO", type text}, {"ODATE", type text}, {"JRNL TYPE", type text}, {"CONTROL", type text}, {"DATE", type text}, {"A-ACCT", type text}, {"CONTROL2", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"AR-OPEN"}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Removed Columns","SALE CO",Splitter.SplitTextByDelimiter(" "),{"SALE CO.1", "SALE CO.2", "SALE CO.3", "SALE CO.4", "SALE CO.5", "SALE CO.6", "SALE CO.7", "SALE CO.8", "SALE CO.9", "SALE CO.10", "SALE CO.11", "SALE CO.12", "SALE CO.13", "SALE CO.14", "SALE CO.15", "SALE CO.16", "SALE CO.17", "SALE CO.18", "SALE CO.19", "SALE CO.20", "SALE CO.21", "SALE CO.22", "SALE CO.23", "SALE CO.24", "SALE CO.25"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"SALE CO.1", Int64.Type}, {"SALE CO.2", type text}, {"SALE CO.3", type text}, {"SALE CO.4", type text}, {"SALE CO.5", type text}, {"SALE CO.6", type text}, {"SALE CO.7", type text}, {"SALE CO.8", type text}, {"SALE CO.9", type text}, {"SALE CO.10", type text}, {"SALE CO.11", type text}, {"SALE CO.12", type text}, {"SALE CO.13", type text}, {"SALE CO.14", type text}, {"SALE CO.15", type text}, {"SALE CO.16", type text}, {"SALE CO.17", type text}, {"SALE CO.18", type text}, {"SALE CO.19", type text}, {"SALE CO.20", type text}, {"SALE CO.21", type text}, {"SALE CO.22", type text}, {"SALE CO.23", type text}, {"SALE CO.24", type text}, {"SALE CO.25", type text}, {"NAME_1", type text}, {"DATE_2", type text}, {"NAME_3", type text}, {"CONTROL_4", type text}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1","REFER",Splitter.SplitTextByDelimiter(" "),{"REFER.1", "REFER.2", "REFER.3", "REFER.4", "REFER.5", "REFER.6", "REFER.7", "REFER.8", "REFER.9", "REFER.10", "REFER.11", "REFER.12", "REFER.13", "REFER.14", "REFER.15", "REFER.16", "REFER.17", "REFER.18", "REFER.19", "REFER.20", "REFER.21", "REFER.22", "REFER.23", "REFER.24", "REFER.25"}),
#"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"REFER.1", type text}, {"REFER.2", type text}, {"REFER.3", type text}, {"REFER.4", type text}, {"REFER.5", type text}, {"REFER.6", type text}, {"REFER.7", type text}, {"REFER.8", type text}, {"REFER.9", type text}, {"REFER.10", type text}, {"REFER.11", type text}, {"REFER.12", type text}, {"REFER.13", type text}, {"REFER.14", type text}, {"REFER.15", type text}, {"REFER.16", type text}, {"REFER.17", type text}, {"REFER.18", type text}, {"REFER.19", type text}, {"REFER.20", type text}, {"REFER.21", type text}, {"REFER.22", type text}, {"REFER.23", type text}, {"REFER.24", type text}, {"REFER.25", type text}}),
#"Split Column by Delimiter2" = Table.SplitColumn(#"Changed Type2","JRNL CO",Splitter.SplitTextByDelimiter(" "),{"JRNL CO.1", "JRNL CO.2", "JRNL CO.3", "JRNL CO.4", "JRNL CO.5", "JRNL CO.6", "JRNL CO.7", "JRNL CO.8", "JRNL CO.9", "JRNL CO.10", "JRNL CO.11", "JRNL CO.12", "JRNL CO.13", "JRNL CO.14", "JRNL CO.15", "JRNL CO.16", "JRNL CO.17", "JRNL CO.18", "JRNL CO.19", "JRNL CO.20", "JRNL CO.21", "JRNL CO.22", "JRNL CO.23", "JRNL CO.24", "JRNL CO.25"}),
#"Changed Type3" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"JRNL CO.1", Int64.Type}, {"JRNL CO.2", type text}, {"JRNL CO.3", type text}, {"JRNL CO.4", type text}, {"JRNL CO.5", type text}, {"JRNL CO.6", type text}, {"JRNL CO.7", type text}, {"JRNL CO.8", type text}, {"JRNL CO.9", type text}, {"JRNL CO.10", type text}, {"JRNL CO.11", type text}, {"JRNL CO.12", type text}, {"JRNL CO.13", type text}, {"JRNL CO.14", type text}, {"JRNL CO.15", type text}, {"JRNL CO.16", type text}, {"JRNL CO.17", type text}, {"JRNL CO.18", type text}, {"JRNL CO.19", type text}, {"JRNL CO.20", type text}, {"JRNL CO.21", type text}, {"JRNL CO.22", type text}, {"JRNL CO.23", type text}, {"JRNL CO.24", type text}, {"JRNL CO.25", type text}}),
#"Split Column by Delimiter3" = Table.SplitColumn(#"Changed Type3","SO",Splitter.SplitTextByDelimiter(" "),{"SO.1", "SO.2", "SO.3", "SO.4", "SO.5", "SO.6", "SO.7", "SO.8", "SO.9", "SO.10", "SO.11", "SO.12", "SO.13", "SO.14", "SO.15", "SO.16", "SO.17", "SO.18", "SO.19", "SO.20", "SO.21", "SO.22", "SO.23", "SO.24", "SO.25"}),
#"Changed Type4" = Table.TransformColumnTypes(#"Split Column by Delimiter3",{{"SO.1", Int64.Type}, {"SO.2", type text}, {"SO.3", type text}, {"SO.4", type text}, {"SO.5", type text}, {"SO.6", type text}, {"SO.7", type text}, {"SO.8", type text}, {"SO.9", type text}, {"SO.10", type text}, {"SO.11", type text}, {"SO.12", type text}, {"SO.13", type text}, {"SO.14", type text}, {"SO.15", type text}, {"SO.16", type text}, {"SO.17", type text}, {"SO.18", type text}, {"SO.19", type text}, {"SO.20", type text}, {"SO.21", type text}, {"SO.22", type text}, {"SO.23", type text}, {"SO.24", type text}, {"SO.25", type text}}),
#"Split Column by Delimiter4" = Table.SplitColumn(#"Changed Type4","ODATE",Splitter.SplitTextByDelimiter(" "),{"ODATE.1", "ODATE.2", "ODATE.3", "ODATE.4", "ODATE.5", "ODATE.6", "ODATE.7", "ODATE.8", "ODATE.9", "ODATE.10", "ODATE.11", "ODATE.12", "ODATE.13", "ODATE.14", "ODATE.15", "ODATE.16", "ODATE.17", "ODATE.18", "ODATE.19", "ODATE.20", "ODATE.21", "ODATE.22", "ODATE.23", "ODATE.24", "ODATE.25"}),
#"Changed Type5" = Table.TransformColumnTypes(#"Split Column by Delimiter4",{{"ODATE.1", type date}, {"ODATE.2", type text}, {"ODATE.3", type text}, {"ODATE.4", type text}, {"ODATE.5", type text}, {"ODATE.6", type text}, {"ODATE.7", type text}, {"ODATE.8", type text}, {"ODATE.9", type text}, {"ODATE.10", type text}, {"ODATE.11", type text}, {"ODATE.12", type text}, {"ODATE.13", type text}, {"ODATE.14", type text}, {"ODATE.15", type text}, {"ODATE.16", type text}, {"ODATE.17", type text}, {"ODATE.18", type text}, {"ODATE.19", type text}, {"ODATE.20", type text}, {"ODATE.21", type text}, {"ODATE.22", type text}, {"ODATE.23", type text}, {"ODATE.24", type text}, {"ODATE.25", type text}}),
#"Split Column by Delimiter5" = Table.SplitColumn(#"Changed Type5","JRNL TYPE",Splitter.SplitTextByDelimiter(" "),{"JRNL TYPE.1", "JRNL TYPE.2", "JRNL TYPE.3", "JRNL TYPE.4", "JRNL TYPE.5", "JRNL TYPE.6", "JRNL TYPE.7", "JRNL TYPE.8", "JRNL TYPE.9", "JRNL TYPE.10", "JRNL TYPE.11", "JRNL TYPE.12", "JRNL TYPE.13", "JRNL TYPE.14", "JRNL TYPE.15", "JRNL TYPE.16", "JRNL TYPE.17", "JRNL TYPE.18", "JRNL TYPE.19", "JRNL TYPE.20", "JRNL TYPE.21", "JRNL TYPE.22", "JRNL TYPE.23", "JRNL TYPE.24", "JRNL TYPE.25"}),
#"Changed Type6" = Table.TransformColumnTypes(#"Split Column by Delimiter5",{{"JRNL TYPE.1", type text}, {"JRNL TYPE.2", type text}, {"JRNL TYPE.3", type text}, {"JRNL TYPE.4", type text}, {"JRNL TYPE.5", type text}, {"JRNL TYPE.6", type text}, {"JRNL TYPE.7", type text}, {"JRNL TYPE.8", type text}, {"JRNL TYPE.9", type text}, {"JRNL TYPE.10", type text}, {"JRNL TYPE.11", type text}, {"JRNL TYPE.12", type text}, {"JRNL TYPE.13", type text}, {"JRNL TYPE.14", type text}, {"JRNL TYPE.15", type text}, {"JRNL TYPE.16", type text}, {"JRNL TYPE.17", type text}, {"JRNL TYPE.18", type text}, {"JRNL TYPE.19", type text}, {"JRNL TYPE.20", type text}, {"JRNL TYPE.21", type text}, {"JRNL TYPE.22", type text}, {"JRNL TYPE.23", type text}, {"JRNL TYPE.24", type text}, {"JRNL TYPE.25", type text}}),
#"Split Column by Delimiter6" = Table.SplitColumn(#"Changed Type6","DATE",Splitter.SplitTextByDelimiter(" "),{"DATE.1", "DATE.2", "DATE.3", "DATE.4", "DATE.5", "DATE.6", "DATE.7", "DATE.8", "DATE.9", "DATE.10", "DATE.11", "DATE.12", "DATE.13", "DATE.14", "DATE.15", "DATE.16", "DATE.17", "DATE.18", "DATE.19", "DATE.20", "DATE.21", "DATE.22", "DATE.23", "DATE.24", "DATE.25"}),
#"Changed Type7" = Table.TransformColumnTypes(#"Split Column by Delimiter6",{{"DATE.1", type date}, {"DATE.2", type text}, {"DATE.3", type text}, {"DATE.4", type text}, {"DATE.5", type text}, {"DATE.6", type text}, {"DATE.7", type text}, {"DATE.8", type text}, {"DATE.9", type text}, {"DATE.10", type text}, {"DATE.11", type text}, {"DATE.12", type text}, {"DATE.13", type text}, {"DATE.14", type text}, {"DATE.15", type text}, {"DATE.16", type text}, {"DATE.17", type text}, {"DATE.18", type text}, {"DATE.19", type text}, {"DATE.20", type text}, {"DATE.21", type text}, {"DATE.22", type text}, {"DATE.23", type text}, {"DATE.24", type text}, {"DATE.25", type text}}),
#"Reordered Columns" = Table.ReorderColumns(#"Changed Type7",{"AGME.CO.ID", "SCHED", "NAME", "NAME_1", "N-CD", "SALE CO.1", "SALE CO.2", "SALE CO.3", "SALE CO.4", "SALE CO.5", "SALE CO.6", "SALE CO.7", "SALE CO.8", "SALE CO.9", "SALE CO.10", "SALE CO.11", "SALE CO.12", "SALE CO.13", "SALE CO.14", "SALE CO.15", "SALE CO.16", "SALE CO.17", "SALE CO.18", "SALE CO.19", "SALE CO.20", "SALE CO.21", "SALE CO.22", "SALE CO.23", "SALE CO.24", "SALE CO.25", "REFER.1", "REFER.2", "REFER.3", "REFER.4", "REFER.5", "REFER.6", "REFER.7", "REFER.8", "REFER.9", "REFER.10", "REFER.11", "REFER.12", "REFER.13", "REFER.14", "REFER.15", "REFER.16", "REFER.17", "REFER.18", "REFER.19", "REFER.20", "REFER.21", "REFER.22", "REFER.23", "REFER.24", "REFER.25", "JRNL CO.1", "JRNL CO.2", "JRNL CO.3", "JRNL CO.4", "JRNL CO.5", "JRNL CO.6", "JRNL CO.7", "JRNL CO.8", "JRNL CO.9", "JRNL CO.10", "JRNL CO.11", "JRNL CO.12", "JRNL CO.13", "JRNL CO.14", "JRNL CO.15", "JRNL CO.16", "JRNL CO.17", "JRNL CO.18", "JRNL CO.19", "JRNL CO.20", "JRNL CO.21", "JRNL CO.22", "JRNL CO.23", "JRNL CO.24", "JRNL CO.25", "SO.1", "SO.2", "SO.3", "SO.4", "SO.5", "SO.6", "SO.7", "SO.8", "SO.9", "SO.10", "SO.11", "SO.12", "SO.13", "SO.14", "SO.15", "SO.16", "SO.17", "SO.18", "SO.19", "SO.20", "SO.21", "SO.22", "SO.23", "SO.24", "SO.25", "ODATE.1", "ODATE.2", "ODATE.3", "ODATE.4", "ODATE.5", "ODATE.6", "ODATE.7", "ODATE.8", "ODATE.9", "ODATE.10", "ODATE.11", "ODATE.12", "ODATE.13", "ODATE.14", "ODATE.15", "ODATE.16", "ODATE.17", "ODATE.18", "ODATE.19", "ODATE.20", "ODATE.21", "ODATE.22", "ODATE.23", "ODATE.24", "ODATE.25", "JRNL TYPE.1", "JRNL TYPE.2", "JRNL TYPE.3", "JRNL TYPE.4", "JRNL TYPE.5", "JRNL TYPE.6", "JRNL TYPE.7", "JRNL TYPE.8", "JRNL TYPE.9", "JRNL TYPE.10", "JRNL TYPE.11", "JRNL TYPE.12", "JRNL TYPE.13", "JRNL TYPE.14", "JRNL TYPE.15", "JRNL TYPE.16", "JRNL TYPE.17", "JRNL TYPE.18", "JRNL TYPE.19", "JRNL TYPE.20", "JRNL TYPE.21", "JRNL TYPE.22", "JRNL TYPE.23", "JRNL TYPE.24", "JRNL TYPE.25", "CONTROL", "DATE.1", "DATE.2", "DATE.3", "DATE.4", "DATE.5", "DATE.6", "DATE.7", "DATE.8", "DATE.9", "DATE.10", "DATE.11", "DATE.12", "DATE.13", "DATE.14", "DATE.15", "DATE.16", "DATE.17", "DATE.18", "DATE.19", "DATE.20", "DATE.21", "DATE.22", "DATE.23", "DATE.24", "DATE.25", "DATE_2", "A-ACCT", "NAME_3", "CONTROL_4", "CONTROL2"}),
#"Removed Columns1" = Table.RemoveColumns(#"Reordered Columns",{"DATE_2", "A-ACCT", "NAME_3", "CONTROL_4", "CONTROL2"}),
#"Reordered Columns1" = Table.ReorderColumns(#"Removed Columns1",{"AGME.CO.ID", "SCHED", "NAME", "NAME_1", "N-CD", "CONTROL", "SALE CO.1", "SALE CO.2", "SALE CO.3", "SALE CO.4", "SALE CO.5", "SALE CO.6", "SALE CO.7", "SALE CO.8", "SALE CO.9", "SALE CO.10", "SALE CO.11", "SALE CO.12", "SALE CO.13", "SALE CO.14", "SALE CO.15", "SALE CO.16", "SALE CO.17", "SALE CO.18", "SALE CO.19", "SALE CO.20", "SALE CO.21", "SALE CO.22", "SALE CO.23", "SALE CO.24", "SALE CO.25", "REFER.1", "REFER.2", "REFER.3", "REFER.4", "REFER.5", "REFER.6", "REFER.7", "REFER.8", "REFER.9", "REFER.10", "REFER.11", "REFER.12", "REFER.13", "REFER.14", "REFER.15", "REFER.16", "REFER.17", "REFER.18", "REFER.19", "REFER.20", "REFER.21", "REFER.22", "REFER.23", "REFER.24", "REFER.25", "JRNL CO.1", "JRNL CO.2", "JRNL CO.3", "JRNL CO.4", "JRNL CO.5", "JRNL CO.6", "JRNL CO.7", "JRNL CO.8", "JRNL CO.9", "JRNL CO.10", "JRNL CO.11", "JRNL CO.12", "JRNL CO.13", "JRNL CO.14", "JRNL CO.15", "JRNL CO.16", "JRNL CO.17", "JRNL CO.18", "JRNL CO.19", "JRNL CO.20", "JRNL CO.21", "JRNL CO.22", "JRNL CO.23", "JRNL CO.24", "JRNL CO.25", "SO.1", "SO.2", "SO.3", "SO.4", "SO.5", "SO.6", "SO.7", "SO.8", "SO.9", "SO.10", "SO.11", "SO.12", "SO.13", "SO.14", "SO.15", "SO.16", "SO.17", "SO.18", "SO.19", "SO.20", "SO.21", "SO.22", "SO.23", "SO.24", "SO.25", "ODATE.1", "ODATE.2", "ODATE.3", "ODATE.4", "ODATE.5", "ODATE.6", "ODATE.7", "ODATE.8", "ODATE.9", "ODATE.10", "ODATE.11", "ODATE.12", "ODATE.13", "ODATE.14", "ODATE.15", "ODATE.16", "ODATE.17", "ODATE.18", "ODATE.19", "ODATE.20", "ODATE.21", "ODATE.22", "ODATE.23", "ODATE.24", "ODATE.25", "JRNL TYPE.1", "JRNL TYPE.2", "JRNL TYPE.3", "JRNL TYPE.4", "JRNL TYPE.5", "JRNL TYPE.6", "JRNL TYPE.7", "JRNL TYPE.8", "JRNL TYPE.9", "JRNL TYPE.10", "JRNL TYPE.11", "JRNL TYPE.12", "JRNL TYPE.13", "JRNL TYPE.14", "JRNL TYPE.15", "JRNL TYPE.16", "JRNL TYPE.17", "JRNL TYPE.18", "JRNL TYPE.19", "JRNL TYPE.20", "JRNL TYPE.21", "JRNL TYPE.22", "JRNL TYPE.23", "JRNL TYPE.24", "JRNL TYPE.25", "DATE.1", "DATE.2", "DATE.3", "DATE.4", "DATE.5", "DATE.6", "DATE.7", "DATE.8", "DATE.9", "DATE.10", "DATE.11", "DATE.12", "DATE.13", "DATE.14", "DATE.15", "DATE.16", "DATE.17", "DATE.18", "DATE.19", "DATE.20", "DATE.21", "DATE.22", "DATE.23", "DATE.24", "DATE.25"}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Reordered Columns1", {"AGME.CO.ID", "SCHED", "NAME", "NAME_1", "N-CD", "CONTROL"}, "Attribute", "Value"),
#"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns",".*","",Replacer.ReplaceText,{"Attribute"}),
#"Split Column by Delimiter7" = Table.SplitColumn(#"Replaced Value","Attribute",Splitter.SplitTextByDelimiter("."),{"Attribute.1", "Attribute.2"}),
#"Changed Type8" = Table.TransformColumnTypes(#"Split Column by Delimiter7",{{"Attribute.1", type text}, {"Attribute.2", Int64.Type}}),
#"Removed Columns2" = Table.RemoveColumns(#"Changed Type8",{"Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns2",{{"Attribute.1", "Type"}}),
#"Removed Columns3" = Table.RemoveColumns(#"Renamed Columns",{"SCHED", "NAME", "NAME_1", "N-CD"}),
#"Renamed Columns1" = Table.RenameColumns(#"Removed Columns3",{{"AGME.CO.ID", "companyid"}, {"CONTROL", "control"}}),
#"Reordered Columns2" = Table.ReorderColumns(#"Renamed Columns1",{"companyid", "control", "Type", "Value"})
in
#"Reordered Columns2"
I need to do one more transform which is a Pivot like so:
#"Pivoted Column" = Table.Pivot(#"Reordered Columns2", List.Distinct(#"Reordered Columns2"[Type]), "Type", "Value")
in
#"Pivoted Column"
and I only get 326 rows. Because it is a pivot without aggregation I get errors but even if I remove errors I still don't get the complete result set.
Any ideas?

Hello again and thanks for your help. I used List.First because the value column is text however I only got one row returned so I thought I would give you all my code (because I changed some things to make it simpler) and some pictures. Here's my code:
let
Source = Csv.Document(File.Contents("C:\Users\jdonnelly\Desktop\2014 JW Annual Review\ALL STORES 01-07-15 AR OPEN.csv"),null,",",null,1252),
#"First Row as Header" = Table.PromoteHeaders(Source),
#"Changed Type" = Table.TransformColumnTypes(#"First Row as Header",{{"AR-OPEN", type text}, {"SALE CO", type text}, {"NAME", type text}, {"N-CD", Int64.Type}, {"REFER", type text}, {"JRNL CO", type text}, {"SCHED", type text}, {"AGME.CO.ID", Int64.Type}, {"SO", type text}, {"ODATE", type text}, {"JRNL TYPE", type text}, {"CONTROL", type text}, {"DATE", type text}, {"A-ACCT", type text}, {"CONTROL2", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"AR-OPEN", "NAME", "NAME_1", "N-CD", "JRNL CO", "SCHED", "AGME.CO.ID", "JRNL TYPE", "DATE", "DATE_2", "A-ACCT", "NAME_3", "CONTROL_4", "CONTROL2"}),
#"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"CONTROL", "SALE CO", "REFER", "SO", "ODATE"}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Reordered Columns","ODATE",Splitter.SplitTextByDelimiter(" "),{"ODATE.1", "ODATE.2", "ODATE.3", "ODATE.4", "ODATE.5", "ODATE.6", "ODATE.7", "ODATE.8", "ODATE.9", "ODATE.10", "ODATE.11", "ODATE.12", "ODATE.13", "ODATE.14", "ODATE.15", "ODATE.16", "ODATE.17", "ODATE.18", "ODATE.19"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"ODATE.1", type date}, {"ODATE.2", type text}, {"ODATE.3", type text}, {"ODATE.4", type text}, {"ODATE.5", type text}, {"ODATE.6", type text}, {"ODATE.7", type text}, {"ODATE.8", type text}, {"ODATE.9", type text}, {"ODATE.10", type text}, {"ODATE.11", type text}, {"ODATE.12", type text}, {"ODATE.13", type text}, {"ODATE.14", type text}, {"ODATE.15", type text}, {"ODATE.16", type text}, {"ODATE.17", type text}, {"ODATE.18", type text}, {"ODATE.19", type text}}),
#"Removed Columns1" = Table.RemoveColumns(#"Changed Type1",{"ODATE.2", "ODATE.3", "ODATE.5", "ODATE.6", "ODATE.8", "ODATE.9", "ODATE.11", "ODATE.12", "ODATE.14", "ODATE.15", "ODATE.17", "ODATE.18"}),
#"Changed Type2" = Table.TransformColumnTypes(#"Removed Columns1",{{"ODATE.1", type date}, {"ODATE.4", type date}, {"ODATE.7", type date}, {"ODATE.10", type date}, {"ODATE.13", type date}, {"ODATE.16", type date}, {"ODATE.19", type date}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type2","SO",Splitter.SplitTextByDelimiter(" "),{"SO.1", "SO.2", "SO.3", "SO.4", "SO.5", "SO.6", "SO.7", "SO.8", "SO.9", "SO.10", "SO.11", "SO.12", "SO.13", "SO.14", "SO.15", "SO.16", "SO.17", "SO.18", "SO.19"}),
#"Changed Type3" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"SO.1", Int64.Type}, {"SO.2", type text}, {"SO.3", type text}, {"SO.4", type text}, {"SO.5", type text}, {"SO.6", type text}, {"SO.7", type text}, {"SO.8", type text}, {"SO.9", type text}, {"SO.10", type text}, {"SO.11", type text}, {"SO.12", type text}, {"SO.13", type text}, {"SO.14", type text}, {"SO.15", type text}, {"SO.16", type text}, {"SO.17", type text}, {"SO.18", type text}, {"SO.19", type text}}),
#"Removed Columns2" = Table.RemoveColumns(#"Changed Type3",{"SO.2", "SO.3", "SO.5", "SO.6", "SO.8", "SO.9", "SO.11", "SO.12", "SO.14", "SO.15", "SO.17", "SO.18"}),
#"Split Column by Delimiter2" = Table.SplitColumn(#"Removed Columns2","REFER",Splitter.SplitTextByDelimiter(" "),{"REFER.1", "REFER.2", "REFER.3", "REFER.4", "REFER.5", "REFER.6", "REFER.7", "REFER.8", "REFER.9", "REFER.10", "REFER.11", "REFER.12", "REFER.13", "REFER.14", "REFER.15", "REFER.16", "REFER.17", "REFER.18", "REFER.19"}),
#"Changed Type4" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"REFER.1", type text}, {"REFER.2", type text}, {"REFER.3", type text}, {"REFER.4", type text}, {"REFER.5", type text}, {"REFER.6", type text}, {"REFER.7", type text}, {"REFER.8", type text}, {"REFER.9", type text}, {"REFER.10", type text}, {"REFER.11", type text}, {"REFER.12", type text}, {"REFER.13", type text}, {"REFER.14", type text}, {"REFER.15", type text}, {"REFER.16", type text}, {"REFER.17", type text}, {"REFER.18", type text}, {"REFER.19", type text}}),
#"Removed Columns3" = Table.RemoveColumns(#"Changed Type4",{"REFER.2", "REFER.3", "REFER.5", "REFER.6", "REFER.8", "REFER.9", "REFER.11", "REFER.12", "REFER.14", "REFER.15", "REFER.17", "REFER.18"}),
#"Split Column by Delimiter3" = Table.SplitColumn(#"Removed Columns3","SALE CO",Splitter.SplitTextByDelimiter(" "),{"SALE CO.1", "SALE CO.2", "SALE CO.3", "SALE CO.4", "SALE CO.5", "SALE CO.6", "SALE CO.7", "SALE CO.8", "SALE CO.9", "SALE CO.10", "SALE CO.11", "SALE CO.12", "SALE CO.13", "SALE CO.14", "SALE CO.15", "SALE CO.16", "SALE CO.17", "SALE CO.18", "SALE CO.19"}),
#"Changed Type5" = Table.TransformColumnTypes(#"Split Column by Delimiter3",{{"SALE CO.1", Int64.Type}, {"SALE CO.2", type text}, {"SALE CO.3", type text}, {"SALE CO.4", type text}, {"SALE CO.5", type text}, {"SALE CO.6", type text}, {"SALE CO.7", type text}, {"SALE CO.8", type text}, {"SALE CO.9", type text}, {"SALE CO.10", type text}, {"SALE CO.11", type text}, {"SALE CO.12", type text}, {"SALE CO.13", type text}, {"SALE CO.14", type text}, {"SALE CO.15", type text}, {"SALE CO.16", type text}, {"SALE CO.17", type text}, {"SALE CO.18", type text}, {"SALE CO.19", type text}}),
#"Removed Columns4" = Table.RemoveColumns(#"Changed Type5",{"SALE CO.2", "SALE CO.3", "SALE CO.5", "SALE CO.6", "SALE CO.8", "SALE CO.9", "SALE CO.11", "SALE CO.12", "SALE CO.14", "SALE CO.15", "SALE CO.17", "SALE CO.18"}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Removed Columns4", {}, "Attribute", "Value"),
#"Changed Type6" = Table.TransformColumnTypes(#"Unpivoted Columns",{{"Value", type text}}),
#"Split Column by Delimiter4" = Table.SplitColumn(#"Changed Type6","Attribute",Splitter.SplitTextByDelimiter("."),{"Attribute.1", "Attribute.2"}),
#"Changed Type7" = Table.TransformColumnTypes(#"Split Column by Delimiter4",{{"Attribute.1", type text}, {"Attribute.2", type text}}),
#"Removed Columns5" = Table.RemoveColumns(#"Changed Type7",{"Attribute.2"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns5",{{"Attribute.1", "Attribute"}})
#"Pivoted Column" = Table.Pivot(#"Renamed Columns", List.Distinct(#"Renamed Columns"[Attribute]), "Attribute", "Value", List.First)
in
#"Pivoted Column"
Before the Table.Pivot my View is as follows:
It runs down to row 18,200 or so. I chose a smaller file to make things simpler.
After the Table.Pivot as written above this is what my view shows:
So I received only one row. Is there a way to make it all rows?
(For background: the CSV file is from a PICK database that has multi-variate fields where all but one of the fields has multiple values correlated with multiple values in other fields.)
Thanks again
John Donnelly

Cisco 1200 empty .csv file

I have flashed the cisco 1200 ap using the upgrade utility. Everything checks out ok but the .csv file is empty.Did i miss something here?
Details
Model:AIR-AP1232AG-S-K9
Autonomous IOS:12.3(7)JA2
Lightweight IOS:
c1200-rcvk9w8-tar.123-11JX1

The MIC is a Machine Installed Certificate. The AP has the certificate already installed, there is no need to
generate a self-signed certificate. That is why the .csv file is empty. You will not have to put any certificate information on WLC/WCS for this AP.

Getting empty csv file using servlet

Hi
i am working on reports for my web application and i used struts frame work.
for my reports i want csv export, so for that i written servlet, once if i click generate button i am able to open popup window to save the generated csv file at my local system, but i am getting emplty csv file..
nothing si ther ein that file forget abt data atleast my header fields.
here is my servlet file..plz let me know where i am doing wrong..
public class ReportServlet extends HttpServlet{
     public void doPost(HttpServletRequest req,HttpServletResponse res)
throws ServletException,IOException
PrintWriter out = res.getWriter();
res.setContentType("text/csv");
res.setHeader("Content-Disposition","attachment; filename=\"export.csv\"");
out = res.getWriter();
AdvDetailReportBean reportBean = null;
ArrayList list =(ArrayList)req.getSession().getAttribute("advreportlist");
System.out.println(" servlet report list size is"+list.size());
String branchcode=(String)req.getSession().getAttribute("branchcode");
          String bName=(String)req.getSession().getAttribute("branchname");
          System.out.println(" servlet branch name"+bName);
          System.out.println(" servlet branch code"+branchcode);
StringBuffer fw = new StringBuffer();
          fw.append("Branch Code");
          fw.append(',');
          fw.append("Branch Name");
          fw.append('\n');
          fw.append(branchcode);
          fw.append(',');
          fw.append(bName);
          fw.append('\n');
          fw.append('\n');
          fw.append("Customer Name");
     fw.append(',');
     fw.append("Constitution Code");
     fw.append(',');
     fw.append("Customer Status");
     fw.append(',');
     fw.append("Restructure Date");
     fw.append(',');
     fw.append("Total Provision");
     fw.append(',');
     fw.append("Limit Sanctioned");
     fw.append(',');
     fw.append("Principal");
     fw.append(',');
     fw.append("Balance");
     fw.append(',');
     fw.append("AccountID");
     fw.append(',');
     fw.append("Collateral SL No");
     fw.append(',');
     fw.append("Issue Date Of Collateral");
     fw.append(',');
     fw.append("MaturityDate Of Collateral");
     fw.append(',');
     fw.append("Subsidy");
     fw.append(',');
     fw.append("Guarantor SL No");
     fw.append(',');
     fw.append("Guarantor Rating Agency ");
     fw.append(',');
     fw.append("External Rating of Guarantor");
     fw.append(',');
     fw.append("Rating Expiry Date");
     fw.append(',');
     fw.append("Guarantee Amount");
     fw.append(',');
     fw.append('\n');
     for (Iterator it = list.iterator(); it.hasNext(); )
          reportBean = new AdvDetailReportBean();
          reportBean = (AdvDetailReportBean)it.next();
          fw.append(reportBean.getCustomername());
          fw.append(',');
          fw.append(reportBean.getConstitutionCode());
          fw.append(',');
          fw.append(reportBean.getCustomerStatus());
          fw.append(',');
          fw.append(reportBean.getRestructureDate());
     fw.append(',');
     fw.append(reportBean.getTotalProvision());
     fw.append(',');
     fw.append(reportBean.getLimitSanctioned());
     fw.append(',');
     fw.append(reportBean.getPrincipal());
     fw.append(',');
     fw.append(reportBean.getBalance());
     fw.append(',');
     fw.append(reportBean.getCurrentValue());
     fw.append(',');
     fw.append(reportBean.getAccountNumber());
     fw.append(',');
     fw.append(reportBean.getColCRMSecId());
     fw.append(',');
     fw.append(reportBean.getIssueDt());
     fw.append(',');
     fw.append(reportBean.getMarturityDt());
     fw.append(',');
     fw.append(reportBean.getUnAdjSubSidy());
     fw.append(',');
     fw.append(reportBean.getGuarantorFacilityId());
     fw.append(',');
     fw.append(reportBean.getRatingAgency());
     fw.append(',');
     fw.append(reportBean.getExternalRating());
     fw.append(',');
     fw.append(reportBean.getExpDtOfRating());
     fw.append(',');
     fw.append(reportBean.getGuaranteeAmt());
     fw.append(',');
     fw.append('\n');
}

You don't seem to be writing anything to the response at all. Yes, you create a StringBuffer and write lots of stuff to the StringBuffer but then you do nothing else with that buffer.

Problem when opening CSV files after update

Hello
I have updated a Mac to OS 10.6
Before the update, when clicking on a CSV file (bank statements) the file would open in Microsoft Excel and display all the fields in their own columns.
Afer the update, all the fields are contained in one column. It looks like excel is not seeing the commas ? Previewing the CSV file in numbers works correctly though.
How can I resolve this?
Secondly, the CSV file has numbers (deposits) listed as +0000000023.99 for example. Before the update, that transaction would have showed as 23.99 in its column in excel - now it shows it as +0000000023.99.
Any assistance would be greatly appreciated.

This looks like an Excel issue. You didn't say which Excel version you're using. Try posting your question on Microsoft's Mactopia Office forum, but include the version and update number in your inquiry. I can tell you though that in the current Excel 2008 version, I open up csv files all the time without any problem at all.

Empty JAR File : After deployment of PAR file.

Hi friends,
I Migrated the EP Database to different machine and made neccessary changes in the portal to make it point to the new database.
Then i tried to change the custom deployed applications to make it point to new database. so Got the somecomp.par.bak from /<Portal_installation_path>/cluster/server/services/
servlet_jsp/work/jspTemp/irj/root/WEB-INF/deployment/pcd. Imported it into Eclipse, changed connection properties code, built it and coverted to par file. Deployed that file into portal using java developement tab. Even after uploading a new par, application is still pointing to old database.
While deploying, it wrote some log into error_log file as follows:
Jan 13, 2006 9:43:38 AM ...rtal.prt.service.config.ConfigDeploymentService [Client_Thread_14] Warning": An upload sequence w
ill start now. Please do not stop the server or serious deployment issues may arise.
Jan 13, 2006 9:43:39 AM ...rtal.prt.service.config.ConfigDeploymentService [Client_Thread_14] Warning": The upload sequence
is now complete, all the upgrades have been performed.
warning: Jar is empty: /usr/sap/AAA/j2ee/j2ee_00/cluster/server/services/servlet_jsp/work/jspTemp/irj/root/WEB-INF/portal/po
rtalapps/SOMECOMP/private/lib/SOMECOMPcore.jar
What may be the cause of this error?
Portal Version:
EP6 SP2 Patch 29
SAPJ2EE 6.20 Patch 29
Regards,
Nilz
Message was edited by: nilz

Hi Nilz,
> I got confused here
Don't!
In NWDS, if you import a PAR, no JARs which are inside the PAR get imported. That's all (it's enough ).
> The one using which i compiled my code
> like htmlb.jar etc
NO! These are (hopefully) not inside your own PAR but only referenced!!!
> When i imported a PAR file, the source code was there.
Then even with NWDS you shouldn't have any problems as the classes / JARs are compiled/created at PAR creation.
> i am using Eclipse with SP2 plugins
Alltogether in your situation you are not confronted with an error but with a warnung. Obviously you don't have any code in the src.core section.
Hope it helps
Detlev
PS: Please consider rewarding points for helpful answers on SDN. Thanks in advance!

Can I edit connection files after conversion?

SharePoint 2013 SP1, InfoPath 2013.
I created a data connection to a SQL database and then convert it to a connection file, saving it in a data connection library. It worked great.
Now I need to edit that connection to include a new field but for the life of me I cannot figure out how to do a simple edit. Is there an easy way to do this that I am missing?
I have tried:
Modifying the data connection but there is no option to check additional fields once converted to .udcx.
Creating a new connection and naming it the same as the old, but this is denied.
Creating a new connection with a new name and overwriting the .udcx file, but I still need to re-link in InfoPath to the new connection.
Deleting the old connection and creating a new one with the same name. It still needs to re-link.
Modifying the .udcx file directly, but this does not update in InfoPath so I still can't select the data.

I realized that I was able to refresh the data connection in InfoPath by clicking on Modify > Next > Next > Finish after manually editing the .udcx file.

Can't save word file after conversion

Hi,
I convert a phd to word. The screen showed"export complete", i click "save", no file was saved in my drive. What is going on?
Can anyone please help me?
THKS
LD

Please try the steps outlined in our troubleshooting document: forums.adobe.com/docs/DOC-1831
Let us know how it goes!

802.11a Radios down after conversion to LWAPP

Code version is 5.2.193. I converted some 1130 series access points to LWAPP. All of the newer access points worked fine, but the A radios in the older access points are not coming up. I assume there was a hardware change someplace along the line. If I try to manually disable the interface I get the following error:
Failed to Set Admin Status of AP
Error in Setting Antenna TypeError in Setting Antenna Diversity
The b/g radios work fine. Has anyone seen this?

Thanks for the rating.
As a matter of fact, I have a number of "-A" (1240) that our supplier sold us by mistake and we suppose to use "-N".

Updating Database From csv File in Web Dynpro Java

Hi Gurus,
I'd like to write an WDJ where the (super-)user can upload a csv file and delta-update the content of this file witch an external database.
Could you please give some me hints & examples.
Thanks in advance,
Farid
ps. answers will be rewarded with points, of cource.

Hi Farid:
From your question it seems like you want to write a WDJ application which writes a CSV file after connecting to a database and everytime you do so, updates the file with the new record from the DB.
For this, I wouldnt think to write an application in WebDynpro since its an over kill, unless you want to host this appln in a portal environment and want it accessible for a set of people.
Ideally you could use the JDK api to open a connection to the database and then then file api to write to files. You would need to use an identifier somewhere to know the last record read and written to the file.
Incase you put in the type of db you want to connect to, i could be of more help
Thanks,
LioneL

Uploading CSV file problem

Hello everyone.
I have a minor problem in uploading CSV file to HTMLDB.
I don't know the exact reason, but HTMLDB threw
"ORA-20001: Unable to create collection: ORA-06502: PL/SQL: numeric or value error" whenever I tried to upload my csv file. after a few repetition of deleting potential problem-causing columns and trying again, I found out the following:
when numeric value and character value are stored together in single column, the upload fails. For example, we have a column which stores the employee number. The employee number is just a sequential numeric value, however temporary employees have 'T' in front of their employee number, so it begins something like T0032 and so on.
So, then, I tried to enclose all the employee numbers which start with numeric value with " character, but that would just simply take too long to do it manually, and excel does not seem to support enclosing the values with " when it's saving the spreadsheet with CSV format.
So, I'm kind of stuck right now.
Can anyone give me a good way to deal it?
THANK YOU!

Thanks for updating my forum setting, my name is now clearly visible :-)
anyway.. I went back and tested couple of things...
It now appears that the problem is not caused from values inside the column... instead..
I believe the size of csv file with certain character set is the issue here...
This is a rough estimate, but file size larger than about 31.7 ~ 9kb caused errors IF THEY CONTAINED OTHER CHARACTER SET THAN ENGLISH.
here are informations about my setting:
1. Oracle database: initially 9.2.0.1 -> patched upgrade to 9.2.0.4
2. HTMLDB: 1.4.0.00.21c (downloaded from otn)
3. db character set : UTF-8
4. OS: windows 2000 (with up-todate service pack and
security patches and etc..)
5. system: toshiba tecra 2100 with 1GB ram and 40GB hdd
6. operation system locale: korean, south korea
I tried uploading many other files in both english and korean, which is my national language. The english csv file worked beautifully, without any file size limitations. However, when I tried to upload a file with
KOREAN characters in it, it failed.
Intrigued by this behavior I started to test the file upload with various excel files, and found out that..
1. english csv files caused absolutely no errors.
2. engilsh file with single korean character immediately
threw the error, if the size exceeded 31.8kb (or I
think the size is 32kb)
3. I tested korean file mixed english file, caused
the same error if the size exceeded 32kb.
the distribution of korean characters inside the
csv file did not matter, just don't go beyond 32kb!
Please reproduce this behavior (but I presume that some efforts will be required in order to reproduce this error perfectly, since it is not easy to obtain foreign OS in US regions.. is it?)
anyway, thanks for your quick reply, and
I hope this problem gets fixed, because in this manner,
I have to split my file into 32kb chunks!
- Howard

Use .CSV files to UPDATE

Hi,
I have a requirement to process .CSV files and use the info to UPDATE an existing table. One line from the file matches a row in the existing table by an unique key. There is no need to keep the data from the .CSV files after.
I was planning to use a temporary table with an INSERT trigger that will perform the UPDATE, with ON COMMIT DELETE ROWS, and have sqlldr load the data in this temporary table.
But I found out that sqlldr cannot load into temporary tables (SQL*Loader-280).
What would be other options? The .CSV files are retrieved periodically (every 15 min), have all the same structure, their number can vary, and their filename is unique.
Thank you in advance.

SQL*Loader-280 "table %s is a temporary table"
*Cause: The sqlldr utility does not load temporary tables. Note that if sqlldr did allow loading of temporary tables, the data would
disappear after the load completed.
*Action: Load the data into a non-temporary table. Can't you load data into non-temporary table and drop after update?

Calling excel to open csv file created by export within same process

Hello All,
I'm very new to apex and never done any javascript. My company is trying to convert this old forms programmer. What I'm trying to do for a client is to open excel with a specific template I've created that will format the data from a csv file that is exported from a report region in apex. The problem is they want it to be a single button operation. So when I press the link/ or button to export the csv file, after it is saved, then open excel with the template and let the internal excel macro format the data and chart. Any suggestions/solutions/direction will be greatly appreciated.
Dan Walsh
Old form

Dear Gangadhar,
Refer this thread and it may give idea on your issue.
how much rows can be visible in excel sheet
Regards,
JP.

Remove-Mailboxes using Powershell from CSV file

hello all ,
I encountered in problem with my exchange Server 2010
I have a mission to delete closed 150 Mailboxes in my organization
I tried a lot times to use the command "Remove-mailbox " and i anytime got error
I would appreciate the help of one of you maybe guide me because is very important for me to resolve this problem
so meantime i did export of mailbox from exchange server with content "Userpricplename" to CSV file after than export does success i did filtering and tried to perform this commad :" import-csv c:\Mailboxes.csv | foreach {Remove-Mailbox -userprincipalname
$_.Emailadress }
please see the errors below :
excel content :
website: www.PelegIT.co.il

Hi ,
If we set -Confirm:$false EMS will not prompt for yes or no option while executing commands in shell.
If we set -Confirm:$true EMS will prompt for yes or no option while executing commands in shell.
Thanks & Regards S.Nithyanandham

Empty .csv file (after conversion to LWAPP)

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