Suppose we have a table named as T_Population.
To fetch the record as XML Please follow below,
SELECT * FROM T_Population FOR XML AUTO
<T_Population Id="1" Country="UK" PopulationCountDate="2019-01-01" PopulationCount="40088090" />
<T_Population Id="2" Country="USA" PopulationCountDate="2019-03-25" PopulationCount="57753898" />
<T_Population Id="3" Country="India" PopulationCountDate="2019-01-25" PopulationCount="1297094947" />
<T_Population Id="4" Country="UK" PopulationCountDate="2019-05-01" PopulationCount="400885786" />
<T_Population Id="5" Country="UK" PopulationCountDate="2019-08-01" PopulationCount="400885855" />
<T_Population Id="6" Country="UK" PopulationCountDate="2019-12-05" PopulationCount="400885859" />
<T_Population Id="7" Country="USA" PopulationCountDate="2019-05-25" PopulationCount="577567936" />
<T_Population Id="8" Country="USA" PopulationCountDate="2019-09-25" PopulationCount="577634534" />
<T_Population Id="9" Country="USA" PopulationCountDate="2019-12-25" PopulationCount="577644444" />
<T_Population Id="10" Country="India" PopulationCountDate="2019-02-25" PopulationCount="1297095555" />
<T_Population Id="11" Country="India" PopulationCountDate="2019-04-25" PopulationCount="1297274678" />
<T_Population Id="12" Country="India" PopulationCountDate="2019-06-25" PopulationCount="1297333443" />
<T_Population Id="13" Country="India" PopulationCountDate="2019-09-25" PopulationCount="1298435903" />
<T_Population Id="14" Country="India" PopulationCountDate="2019-10-25" PopulationCount="1299563676" />
<T_Population Id="15" Country="India" PopulationCountDate="2019-12-25" PopulationCount="1299956535" />
Saving as XML file in SQL Server
SELECT * FROM T_Population FOR XML PATH('T_Population'),
ROOT('T_Population')
You can save the File in your physical location into CSV/XML File |
<T_Population>
<T_Population>
<Id>1</Id>
<Country>UK</Country>
<PopulationCountDate>2019-01-01</PopulationCountDate>
<PopulationCount>40088090</PopulationCount>
</T_Population>
<T_Population>
<Id>2</Id>
<Country>USA</Country>
<PopulationCountDate>2019-03-25</PopulationCountDate>
<PopulationCount>57753898</PopulationCount>
</T_Population>
<T_Population>
<Id>3</Id>
<Country>India</Country>
<PopulationCountDate>2019-01-25</PopulationCountDate>
<PopulationCount>1297094947</PopulationCount>
</T_Population>
<T_Population>
<Id>4</Id>
<Country>UK</Country>
<PopulationCountDate>2019-05-01</PopulationCountDate>
<PopulationCount>400885786</PopulationCount>
</T_Population>
<T_Population>
<Id>5</Id>
<Country>UK</Country>
<PopulationCountDate>2019-08-01</PopulationCountDate>
<PopulationCount>400885855</PopulationCount>
</T_Population>
<T_Population>
<Id>6</Id>
<Country>UK</Country>
<PopulationCountDate>2019-12-05</PopulationCountDate>
<PopulationCount>400885859</PopulationCount>
</T_Population>
<T_Population>
<Id>7</Id>
<Country>USA</Country>
<PopulationCountDate>2019-05-25</PopulationCountDate>
<PopulationCount>577567936</PopulationCount>
</T_Population>
<T_Population>
<Id>8</Id>
<Country>USA</Country>
<PopulationCountDate>2019-09-25</PopulationCountDate>
<PopulationCount>577634534</PopulationCount>
</T_Population>
<T_Population>
<Id>9</Id>
<Country>USA</Country>
<PopulationCountDate>2019-12-25</PopulationCountDate>
<PopulationCount>577644444</PopulationCount>
</T_Population>
<T_Population>
<Id>10</Id>
<Country>India</Country>
<PopulationCountDate>2019-02-25</PopulationCountDate>
<PopulationCount>1297095555</PopulationCount>
</T_Population>
<T_Population>
<Id>11</Id>
<Country>India</Country>
<PopulationCountDate>2019-04-25</PopulationCountDate>
<PopulationCount>1297274678</PopulationCount>
</T_Population>
<T_Population>
<Id>12</Id>
<Country>India</Country>
<PopulationCountDate>2019-06-25</PopulationCountDate>
<PopulationCount>1297333443</PopulationCount>
</T_Population>
<T_Population>
<Id>13</Id>
<Country>India</Country>
<PopulationCountDate>2019-09-25</PopulationCountDate>
<PopulationCount>1298435903</PopulationCount>
</T_Population>
<T_Population>
<Id>14</Id>
<Country>India</Country>
<PopulationCountDate>2019-10-25</PopulationCountDate>
<PopulationCount>1299563676</PopulationCount>
</T_Population>
<T_Population>
<Id>15</Id>
<Country>India</Country>
<PopulationCountDate>2019-12-25</PopulationCountDate>
<PopulationCount>1299956535</PopulationCount>
</T_Population>
</T_Population>
Summary
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