Using VB.NET Regular Expressions to Remove Excel XML Conversion - vb.net

I have the following lines showing up in files that have been converted to XML from an Excel worksheet:
<Worksheet ss:Name="Sheet1">
<Names>
<NamedRange ss:Name="Print_Area" ss:RefersTo="=Sheet1!R30C1:R8642C15"/>
</Names>
<Table ss:ExpandedColumnCount="14" ss:ExpandedRowCount="8655" x:FullColumns="1"
x:FullRows="1" ss:StyleID="s16">
<Column ss:Index="2" ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="41.25"/>
<Column ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="36"/>
<Column ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="35.25"/>
<Column ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="38.25" ss:Span="1"/>
<Column ss:Index="8" ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="31.5"/>
<Column ss:Index="11" ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="30"/>
<Column ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="33.75"/>
<Column ss:StyleID="s16" ss:AutoFitWidth="0" ss:Width="28.5"/>
<Row ss:StyleID="s18">
<Cell ss:StyleID="s17"><Data ss:Type="String">UNITED STATES</Data></Cell>
<Cell ss:StyleID="s17"/>
<Cell ss:StyleID="s17"/>
<Cell ss:StyleID="s17"/>
<Cell ss:StyleID="s17"/>
<Cell ss:StyleID="s17"/>
<Cell ss:StyleID="s17"/>
</Row>
I am attempting to only remove the <Column .. /> lines. I "thought" I had a pretty good handle on Regular Expressions in VB.NET, but I cannot seem to match these lines. I have tried the following match strings:
'Using (RegexOptions.Multiline)
Private Const Column_MatchExpression As String = "^[\s]*<Column[\s\S]+$"
Private Const Column_MatchExpression As String = " <Column[\s\S]+$"
Private Const Column_MatchExpression As String = "^ <Column[\s\S]+$"
Private Const Column_MatchExpression As String = "^[\s]+<Column[\s\w\W]+$"
Any thoughts on the matter would be appreciated.


What about
"^\s*<Column.*/>\s*$"
?


\<Column[^>]*\>
Should work

Related

How to create unique id for users during extract from oracle xml

I have xmldata in my oracle DB, there are different applicants for a particular appID in my oracle DB. Note the appID is a field in the oracle table while the applicants are in the xmldata(I have multiple applicants in this xml) I would like to create a unique id for the applicants.
In the sample data, there are 3 applicants. how do I create unique ids in my select statement.
WITH t( xml ) AS
(
SELECT XMLType('<loanApplication xmlns="http://www.abcdef.com/Schema/FCX/1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<applicantGroup>
<applicantGroupTypeDd>0</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>1</assetTypeDd>
<assetValue>1500.0</assetValue>
</asset>
<asset>
<assetDescription>RayM</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>8</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 Hyundai</assetDescription>
<assetTypeDd>4</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
<applicantGroup>
<applicantGroupTypeDd>1</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>2</assetTypeDd>
<assetValue>15000.0</assetValue>
</asset>
<asset>
<assetDescription>Bay</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>9</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 car</assetDescription>
<assetTypeDd>3</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
<applicantGroup>
<applicantGroupTypeDd>3</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>100.0</assetValue>
</asset>
<asset>
<assetDescription>RayM</assetDescription>
<assetTypeDd>8</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>7</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 Hyundai</assetDescription>
<assetTypeDd>5</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
</loanApplication>')
FROM dual
)
SELECT JSON_OBJECT (
KEY 'Assets' value y.Assets
) assets
FROM t,
XMLTABLE(XMLNAMESPACES(DEFAULT 'http://www.abcdef.com/Schema/FCX/1'), '/loanApplication/applicantGroup/applicant/asset'
PASSING xml
COLUMNS
Assets INT PATH 'assetValue') y
Results, I need
AppId
applicantId
assetTypeDd
1
1
[1,6,8,4]
1
2
[1,2,6,9,3]
1
3
[3,6,8,7,5]
Thanks

Consider XPath's ancestor axis and count pf preceding-sibling since it appears one applicant node falls under each applicantGroup:
WITH t( xml_data ) AS
(
SELECT XMLType('<loanApplication xmlns="http://www.abcdef.com/Schema/FCX/1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<applicantGroup>
<applicantGroupTypeDd>0</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>1</assetTypeDd>
<assetValue>1500.0</assetValue>
</asset>
<asset>
<assetDescription>RayM</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>8</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 Hyundai</assetDescription>
<assetTypeDd>4</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
<applicantGroup>
<applicantGroupTypeDd>1</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>2</assetTypeDd>
<assetValue>15000.0</assetValue>
</asset>
<asset>
<assetDescription>Bay</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>9</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 car</assetDescription>
<assetTypeDd>3</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
<applicantGroup>
<applicantGroupTypeDd>3</applicantGroupTypeDd>
<applicant>
<asset>
<assetDescription>neweg</assetDescription>
<assetTypeDd>6</assetTypeDd>
<assetValue>100.0</assetValue>
</asset>
<asset>
<assetDescription>RayM</assetDescription>
<assetTypeDd>8</assetTypeDd>
<assetValue>60000</assetValue>
</asset>
<asset>
<assetDescription>TDC</assetDescription>
<assetTypeDd>7</assetTypeDd>
<assetValue>100</assetValue>
</asset>
<asset>
<assetDescription>2007 Hyundai</assetDescription>
<assetTypeDd>5</assetTypeDd>
<assetValue>2500</assetValue>
</asset>
</applicant>
</applicantGroup>
</loanApplication>')
FROM dual
)
SELECT y.ApplicantId AS "applicantId",
LISTAGG(y.AssetTypeDd, ',') AS "assetTypeDd",
LISTAGG(y.Assets, ',') AS "assets"
FROM t,
XMLTABLE(
XMLNAMESPACES('http://www.abcdef.com/Schema/FCX/1' AS "d",
DEFAULT 'http://www.abcdef.com/Schema/FCX/1'),
'//d:asset'
PASSING xml_data
COLUMNS
ApplicantId INT PATH 'count(ancestor::applicantGroup/preceding-sibling::*)+1',
AssetTypeDd INT PATH 'assetTypeDd',
Assets INT PATH 'assetValue'
) y
GROUP BY y.ApplicantId
ORDER BY y.ApplicantId
Online Demo

Parse xml file in pandas

I have this xml file (it's called "LogReg.xml" and it contains some information about a logistic regression (I am interested in the name of the features and their coefficient - I'll explain in more detail below):
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<PMML xmlns="http://www.dmg.org/PMML-4_4" xmlns:data="http://jpmml.org/jpmml-model/InlineTable" version="4.4">
<Header>
<Application name="JPMML-SkLearn" version="1.6.35"/>
<Timestamp>2022-02-15T09:44:54Z</Timestamp>
</Header>
<MiningBuildTask>
<Extension name="repr">PMMLPipeline(steps=[('classifier', LogisticRegression())])</Extension>
</MiningBuildTask>
<DataDictionary>
<DataField name="Target" optype="categorical" dataType="integer">
<Value value="0"/>
<Value value="1"/>
</DataField>
<DataField name="const" optype="continuous" dataType="double"/>
<DataField name="grade" optype="continuous" dataType="double"/>
<DataField name="emp_length" optype="continuous" dataType="double"/>
<DataField name="dti" optype="continuous" dataType="double"/>
<DataField name="Orig_FicoScore" optype="continuous" dataType="double"/>
<DataField name="inq_last_6mths" optype="continuous" dataType="double"/>
<DataField name="acc_open_past_24mths" optype="continuous" dataType="double"/>
<DataField name="mort_acc" optype="continuous" dataType="double"/>
<DataField name="mths_since_recent_bc" optype="continuous" dataType="double"/>
<DataField name="num_rev_tl_bal_gt_0" optype="continuous" dataType="double"/>
<DataField name="percent_bc_gt_75" optype="continuous" dataType="double"/>
</DataDictionary>
<RegressionModel functionName="classification" algorithmName="sklearn.linear_model._logistic.LogisticRegression" normalizationMethod="logit">
<MiningSchema>
<MiningField name="Target" usageType="target"/>
<MiningField name="const"/>
<MiningField name="grade"/>
<MiningField name="emp_length"/>
<MiningField name="dti"/>
<MiningField name="Orig_FicoScore"/>
<MiningField name="inq_last_6mths"/>
<MiningField name="acc_open_past_24mths"/>
<MiningField name="mort_acc"/>
<MiningField name="mths_since_recent_bc"/>
<MiningField name="num_rev_tl_bal_gt_0"/>
<MiningField name="percent_bc_gt_75"/>
</MiningSchema>
<Output>
<OutputField name="probability(0)" optype="continuous" dataType="double" feature="probability" value="0"/>
<OutputField name="probability(1)" optype="continuous" dataType="double" feature="probability" value="1"/>
</Output>
<RegressionTable intercept="0.8064694059338298" targetCategory="1">
<NumericPredictor name="const" coefficient="0.8013433785974717"/>
<NumericPredictor name="grade" coefficient="0.9010481046582982"/>
<NumericPredictor name="emp_length" coefficient="0.9460686056314133"/>
<NumericPredictor name="dti" coefficient="0.5117062988491518"/>
<NumericPredictor name="Orig_FicoScore" coefficient="0.07944303372859234"/>
<NumericPredictor name="inq_last_6mths" coefficient="0.20516234445402765"/>
<NumericPredictor name="acc_open_past_24mths" coefficient="0.4852503249658917"/>
<NumericPredictor name="mort_acc" coefficient="0.6673203078463711"/>
<NumericPredictor name="mths_since_recent_bc" coefficient="0.1962158305958366"/>
<NumericPredictor name="num_rev_tl_bal_gt_0" coefficient="0.12964661294856686"/>
<NumericPredictor name="percent_bc_gt_75" coefficient="0.04534570018290847"/>
</RegressionTable>
<RegressionTable intercept="0.0" targetCategory="0"/>
</RegressionModel>
</PMML>
I have parsed it using this code:
from lxml import objectify
path = 'LogReg.xml'
parsed = objectify.parse(open(path))
root = parsed.getroot()
data = []
if True:
for elt in root.RegressionModel.RegressionTable:
el_data = {}
for child in elt.getchildren():
el_data[child.tag] = child.text
data.append(el_data)
perf = pd.DataFrame(data)
I am interested in parsing this bit:
<RegressionTable intercept="0.8064694059338298" targetCategory="1">
<NumericPredictor name="const" coefficient="0.8013433785974717"/>
<NumericPredictor name="grade" coefficient="0.9010481046582982"/>
<NumericPredictor name="emp_length" coefficient="0.9460686056314133"/>
<NumericPredictor name="dti" coefficient="0.5117062988491518"/>
<NumericPredictor name="Orig_FicoScore" coefficient="0.07944303372859234"/>
<NumericPredictor name="inq_last_6mths" coefficient="0.20516234445402765"/>
<NumericPredictor name="acc_open_past_24mths" coefficient="0.4852503249658917"/>
<NumericPredictor name="mort_acc" coefficient="0.6673203078463711"/>
<NumericPredictor name="mths_since_recent_bc" coefficient="0.1962158305958366"/>
<NumericPredictor name="num_rev_tl_bal_gt_0" coefficient="0.12964661294856686"/>
<NumericPredictor name="percent_bc_gt_75" coefficient="0.04534570018290847"/>
</RegressionTable>
so that I can build the following dictionary:
myDict = {
"const : 0.8013433785974717,
"grade" : 0.9010481046582982,
"emp_length" : 0.9460686056314133,
"dti" : 0.5117062988491518,
"Orig_FicoScore" : 0.07944303372859234,
"inq_last_6mths" : 0.20516234445402765,
"acc_open_past_24mths" : 0.4852503249658917,
"mort_acc" : 0.6673203078463711,
"mths_since_recent_bc" : 0.1962158305958366,
"num_rev_tl_bal_gt_0" : 0.12964661294856686,
"percent_bc_gt_75" : 0.04534570018290847
}
Basically, in the dictionary the Key is the name of the feature and the value is the coefficient of the logistic regression.
Please can anyone help me with the code?

I'm not sure you need pandas for this, but you do need to handle the namespaces in your xml.
Try something along these lines:
myDict = {}
#register the namespace
ns = {'xx': 'http://www.dmg.org/PMML-4_4'}
#you could collapse the next two into one line, but I believe it's clearer this way
rt = root.xpath('//xx:RegressionTable[.//xx:NumericPredictor]',namespaces=ns)[0]
nps = rt.xpath('./xx:NumericPredictor',namespaces=ns)
for np in nps:
myDict[np.attrib['name']]=np.attrib['coefficient']
myDict
The output should be your expected output.

Extract information from XML to SQL Server temp table

I am working with some XML and I have an issue.
The xml looks like this:
<tagvalues>
<tagvalue>
<tag>Data.Barcode</tag>
<value>True</value>
</tagvalue>
<tagvalue>
<tag>Data.DateStampFirstScale</tag>
<value>20180111</value>
</tagvalue>
<tagvalue>
<tag>Data.DateStampLastScale</tag>
<value>20180111</value>
</tagvalue>
<tagvalue>
<tag>Data.Dot</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Hangtab</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.Deviation</tag>
<value>0</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.DeviationHigh</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.DeviationLimitHigh</tag>
<value>0</value>
</tagvalue>
</tagvalues>
and currently I'm getting the data with this code:
#data.value('/tagvalues[1]/tagvalue[3]/value[1]', 'nvarchar(100)')
The problem I'm having is that sometimes the order is changed, which means that I have to reconfigure it again.
Is it not possible to convert the XML text into an temp table like so:
Tag Value
--------------------------------------------------
Data.Barcode TRUE
Data.DateStampFirstScale 20180111
Data.DateStampLastScale 20180111
Data.Dot FALSE
Data.Hangtab FALSE
Data.Scale_x.Scale_0.Deviation 0
Data.Scale_x.Scale_0.DeviationHigh FALSE
Data.Scale_x.Scale_0.DeviationLimitHigh 0

Try the XQuery.. .nodes()
select n.value('tag[1]', 'varchar(max)') [Tag],
n.value('value[1]', 'varchar(max)') [Value]
from #xml.nodes('tagvalues/tagvalue') as p(n)

You mean like this?
DECLARE #XML xml;
SET #XML =
'<tagvalues>
<tagvalue>
<tag>Data.Barcode</tag>
<value>True</value>
</tagvalue>
<tagvalue>
<tag>Data.DateStampFirstScale</tag>
<value>20180111</value>
</tagvalue>
<tagvalue>
<tag>Data.DateStampLastScale</tag>
<value>20180111</value>
</tagvalue>
<tagvalue>
<tag>Data.Dot</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Hangtab</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.Deviation</tag>
<value>0</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.DeviationHigh</tag>
<value>False</value>
</tagvalue>
<tagvalue>
<tag>Data.Scale_x.Scale_0.DeviationLimitHigh</tag>
<value>0</value>
</tagvalue>
</tagvalues>'
SELECT X.N.value('(tag/text())[1]','varchar(50)') AS Tag,
X.N.value('(value/text())[1]','varchar(50)') AS [Value]
FROM #XML.nodes('/tagvalues/tagvalue') X(N);

Using a variable in replacing instead of a string in awk

I'm using this command in a bash script in order to replace the string "NOTHING_HERE" with "$EMAIL" if it fins the URL "$findURL".
The problem is that I don't know how to tell awk to use the value of the variable $EMAILS instead of using the stirng "$EMAIL".
awk -v RS="</Row>" '/'$findURL'/{sub(/NOTHING_HERE/,"$EMAIL")}1' ORS="</Row>" /home/pi/testJMC/JustLinksJMC2.xml | sed '$d'
Any ideas?
Thanks!
Edit: to provide sample input:
<Row ss:AutoFitHeight="0">
<Cell ss:StyleID="s65" ss:HRef="http://www.mapeo-rse.info/promotor/fundaci%C3%B3n-ecolog%C3%AD-y-desarrollo-ecodes"><Data
ss:Type="String">Fundación Ecología y Desarrollo (ECODES)</Data></Cell>
<Cell><Data ss:Type="String">NOTHING_HERE</Data></Cell>
</Row>
<Row ss:AutoFitHeight="0">
<Cell ss:StyleID="s65" ss:HRef="http://www.mapeo-rse.info/promotor/fundaci%C3%B3n-iberoamericana-para-la-gesti%C3%B3n-de-la-calidad-fundibeq"><Data
ss:Type="String">Fundación Iberoamericana para la Gestión de la Calidad (Fundibeq)</Data></Cell>
<Cell><Data ss:Type="String">NOTHING_HERE</Data></Cell>
</Row>
<Row ss:AutoFitHeight="0">
<Cell ss:StyleID="s65" ss:HRef="http://www.mapeo-rse.info/promotor/fundaci%C3%B3n-interamericana-iaf"><Data
ss:Type="String">Fundación Interamericana (IAF)</Data></Cell>
<Cell><Data ss:Type="String">NOTHING_HERE</Data></Cell>
</Row>
<Row ss:AutoFitHeight="0">
<Cell ss:StyleID="s65" ss:HRef="http://www.mapeo-rse.info/promotor/fundaci%C3%B3n-nuevo-periodismo-iberoamericano-fnpi"><Data
ss:Type="String">Fundación Nuevo Periodismo Iberoamericano (FNPI)</Data></Cell>
<Cell><Data ss:Type="String">NOTHING_HERE</Data></Cell>
</Row>
<Row ss:AutoFitHeight="0">
<Cell ss:StyleID="s65" ss:HRef="http://www.mapeo-rse.info/promotor/fundaci%C3%B3n-para-el-desarrollo-sostenible-fundes"><Data
ss:Type="String">Fundación para el Desarrollo Sostenible (FUNDES)</Data></Cell>
<Cell><Data ss:Type="String">NOTHING_HERE</Data></Cell>
</Row>

You need to awk's way of passing shell variable to awk using -v name=value syntax:
awk -v RS="</Row>" -v u="$findURL" -v email="$EMAIL" '$~u{sub(/NOTHING_HERE/, email)}1' ORS="</Row>" /home/pi/testJMC/JustLinksJMC2.xml | sed '$d'

You can do the same way you did for $findURL:
awk -v RS="</Row>" '/'$findURL'/{sub(/NOTHING_HERE/,'"$EMAIL"')}1' ORS="</Row>" /home/pi/testJMC/JustLinksJMC2.xml | sed '$d'
This should work but I couldn't test as you didn't provide a input snippet.

xml file data imported to sql with script

im having this kind of xml:
<?xml version="1.0"?>
-<recordedData>
<machine>ZSK40-2</machine>
<date>2013/09/21</date>
<hour>05:32</hour>-<CollectedData>-<variable>
<Name>PRODUCT</Name>
<Value>FILLER 580</Value>
</variable>-<variable>
<Name>LOT_NUMBER</Name>
<Value>CG 00063 0</Value>
</variable>-<variable>
<Name>SHIFT_SUPERVISOR</Name>
<Value> covaliu l</Value>
</variable>-<variable>
<Name>KGH_ALL_SET</Name>
<Value>0</Value>
</variable>-<variable>
<Name>KGH_ALL_REAL</Name>
<Value>0</Value>
</variable>-<variable>
<Name>KGH_F1_SET</Name>
<Value>0</Value>
</variable>-<variable>
<Name>KGH_F1_REAL</Name>
<Value>0</Value>
</variable>-<variable>
<Name>K_F1</Name>
<Value>43</Value>
</variable>-<variable>
<Name>SCREW_RPM_SET</Name>
<Value>550</Value>
</variable>-<variable>
<Name>SCREW_RPM_REAL</Name>
<Value>550.085388183594</Value>
</variable>-<variable>
<Name>TORQUE</Name>
<Value>1.21340000629425</Value>
</variable>-<variable>
<Name>CURRENT</Name>
<Value>60.1959991455078</Value>
</variable>-<variable>
<Name>KW_KG</Name>
<Value>0</Value>
</variable>-<variable>
<Name>KW</Name>
<Value>-0.990000009536743</Value>
</variable>-<variable>
<Name>MELT_PRESSURE</Name>
<Value>0</Value>
</variable>-<variable>
<Name>MELT_TEMPERATURE</Name>
<Value>214</Value>
</variable>-<variable>
<Name>PV1</Name>
<Value>216</Value>
</variable>-<variable>
<Name>SP1</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV2</Name>
<Value>239</Value>
</variable>-<variable>
<Name>SP2</Name>
<Value>220</Value>
</variable>-<variable>
<Name>PV3</Name>
<Value>220</Value>
</variable>-<variable>
<Name>SP3</Name>
<Value>220</Value>
</variable>-<variable>
<Name>PV4</Name>
<Value>220</Value>
</variable>-<variable>
<Name>SP4</Name>
<Value>220</Value>
</variable>-<variable>
<Name>PV5</Name>
<Value>209</Value>
</variable>-<variable>
<Name>SP5</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV6</Name>
<Value>210</Value>
</variable>-<variable>
<Name>SP6</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV7</Name>
<Value>210</Value>
</variable>-<variable>
<Name>SP7</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV8</Name>
<Value>210</Value>
</variable>-<variable>
<Name>SP8</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV9</Name>
<Value>210</Value>
</variable>-<variable>
<Name>SP9</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV10</Name>
<Value>210</Value>
</variable>-<variable>
<Name>SP10</Name>
<Value>210</Value>
</variable>-<variable>
<Name>PV11</Name>
<Value>220</Value>
</variable>-<variable>
<Name>SP11</Name>
<Value>220</Value>
</variable>
</CollectedData>
</recordedData>
Can anyone provide a sample sql script for extracting all the data from it please.
i would really apreciate this since im new to xml.
Thanks in advance.

If you have your data in a table already, you can use something like this:
DECLARE #Tmp TABLE (ID INT NOT NULL, XmlContent XML)
INSERT INTO #TMP VALUES(1, '......(your entire XML here).......)
SELECT
ID,
MACHINE = XmlContent.value('(/recordedData/machine)[1]', 'varchar(50)'),
RecordingDate = XmlContent.value('(/recordedData/date)[1]', 'varchar(50)'),
RecordingTime = XmlContent.value('(/recordedData/hour)[1]', 'varchar(50)'),
VariableName = XVar.value('(Name)[1]', 'varchar(50)'),
VariableValue = XVar.value('(Value)[1]', 'varchar(50)')
FROM
#Tmp
CROSS APPLY
XmlContent.nodes('/recordedData/CollectedData/variable') AS XTbl(XVar)
This gives you an output something like:
.... and so on - listing all the variables with their name and value.