Forum Discussion
convert XML query to a table
- 7 years ago
hi, Anonymous
For your XML has multiple levels tables, so you need to do these steps as below:
Step1Step2Step3
Result:
and here is M code, please try it.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dZJRa8IwFIX/Ssi7a9LiNgdFZDrIQBhb36wPMbloICbSxNr9+8Wlm61WCHk4557vhnuzWuHySEgmps1eoxoqp6zJS0wfSIkRGGGlMtsgnJSR9uRGNB2nwZn+piBml+B3Vs4+GKrAHaxxgHJU4q+jEOBcqF7y5hOEraQ7629cOyjxLYEZD9uK+/AEVPCNhvzspk8z4VWt/Pe73TAPexfVNm8QiozY4aL2dTaPTpqRxywaSd/pZv46vlbAPch5uNo4oc9hBiNKCzp5ISScFnY30uUumgOI4DLjPNd6gDu55t6NdLnM1FYJKBozgMyukUPVlzkm/UG24s2GuutL/n9AVPF6/QM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Element:Text" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Element:Text", type text}}), #"Parsed XML" = Table.TransformColumns(#"Changed Type",{},Xml.Tables), #"Expanded Element:Text" = Table.ExpandTableColumn(#"Parsed XML", "Element:Text", {"MethodIntegration"}, {"MethodIntegration"}), #"Expanded MethodIntegration" = Table.ExpandTableColumn(#"Expanded Element:Text", "MethodIntegration", {"Record"}, {"Record"}), #"Expanded Record" = Table.ExpandTableColumn(#"Expanded MethodIntegration", "Record", {"RecordID", "ActivityCreatedDate", "ExpectedInstallDate", "InvoiceTxnDate"}, {"RecordID", "ActivityCreatedDate", "ExpectedInstallDate", "InvoiceTxnDate"}) in #"Expanded Record"Best Regards,
Lin
hello, thanks for the reply.
I followed the other post, but it didn't split the xml data correclty. This is what it returned:
https://www.dropbox.com/s/aybq27jbkvx180i/power%20bi%202.PNG?dl=0
it want it to look something like this if possible.
RecordID ActivityCreatedDate ExpectedInstallDate InvoiceTxnDate 23063 2018-12-11T19:00:00 2018-12-19T19:00:00 2018-12-13T19:00:00
it looks like its taking the first line of the XML response?
The xml response looks like this:
<?xml version="1.0" encoding="windows-1252" ?><MethodAPI response = "Success" MaxRecords= "False"><MethodIntegration Table='ActivityJobItems'>
<Record>
<RecordID>23063</RecordID>
<ActivityCreatedDate>2018-12-11T19:00:00</ActivityCreatedDate>
<ExpectedInstallDate>2018-12-19T19:00:00</ExpectedInstallDate>
<InvoiceTxnDate>2018-12-13T19:00:00</InvoiceTxnDate>
</Record>
</MethodIntegration></MethodAPI>
from my picture above it looks like its just parsing through:
<?xml version="1.0" encoding="windows-1252" ?><MethodAPI response = "Success" MaxRecords= "False"><MethodIntegration Table='ActivityJobItems'>
and ignoring the rest of the xml.
shouldn't RecordID, ActivityCreatedDate, ExpectedInstallDate, InvoiceTxnDate all be options in the dropdown?
Thanks
hi, Anonymous
For your XML has multiple levels tables, so you need to do these steps as below:
Step1Step2Step3
Result:
and here is M code, please try it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dZJRa8IwFIX/Ssi7a9LiNgdFZDrIQBhb36wPMbloICbSxNr9+8Wlm61WCHk4557vhnuzWuHySEgmps1eoxoqp6zJS0wfSIkRGGGlMtsgnJSR9uRGNB2nwZn+piBml+B3Vs4+GKrAHaxxgHJU4q+jEOBcqF7y5hOEraQ7629cOyjxLYEZD9uK+/AEVPCNhvzspk8z4VWt/Pe73TAPexfVNm8QiozY4aL2dTaPTpqRxywaSd/pZv46vlbAPch5uNo4oc9hBiNKCzp5ISScFnY30uUumgOI4DLjPNd6gDu55t6NdLnM1FYJKBozgMyukUPVlzkm/UG24s2GuutL/n9AVPF6/QM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Element:Text" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Element:Text", type text}}),
#"Parsed XML" = Table.TransformColumns(#"Changed Type",{},Xml.Tables),
#"Expanded Element:Text" = Table.ExpandTableColumn(#"Parsed XML", "Element:Text", {"MethodIntegration"}, {"MethodIntegration"}),
#"Expanded MethodIntegration" = Table.ExpandTableColumn(#"Expanded Element:Text", "MethodIntegration", {"Record"}, {"Record"}),
#"Expanded Record" = Table.ExpandTableColumn(#"Expanded MethodIntegration", "Record", {"RecordID", "ActivityCreatedDate", "ExpectedInstallDate", "InvoiceTxnDate"}, {"RecordID", "ActivityCreatedDate", "ExpectedInstallDate", "InvoiceTxnDate"})
in
#"Expanded Record"
Best Regards,
Lin
- Anonymous7 years agoNot applicable
thank you! worked perfectly.