The XML format is suitable to store tree-structured data. It is thus usually used to store configuration files. The format can also store data in string format.
Let’s look at how to use XML data as the data source through a simple example:
|
A |
1 |
=file("data.xml") |
2 |
=xml(A1.read()) |
3 |
=xml(A1.read(), "data") |
A1 reads string data from the data.xml file. Below is the file:
<?xml version="1.0" encoding="ISO-8859-13"?>
<data>
<cities>
<CID>1</CID>
<NAME>"New York"</NAME>
<POPULATION>8084316</POPULATION>
<STATEID>32</STATEID>
</cities>
<cities>
<CID>2</CID>
<NAME>"Los Angeles"</NAME>
<POPULATION>3798981</POPULATION>
<STATEID>5</STATEID>
</cities>
<cities>
<CID>3</CID>
<NAME>"Chicago"</NAME>
<POPULATION>2886251</POPULATION>
<STATEID>13</STATEID>
</cities>
<state>
<STATEID>1</STATEID>
<NAME>"Alabama"</NAME>
<ABBR>"AL"</ABBR>
</state>
<state>
<STATEID>2</STATEID>
<NAME>"Alaska"</NAME>
<ABBR>"AK"</ABBR>
</state>
</data>
The xml defines the highest level node data and stores data of two tables: cities and state. The node name for each record is the table name, under which fields and corresponding values are listed. A2 reads a string from the file using the read function and imports it with the xml() function:
The XML string will be parsed as one record. Double click each field to see the detailed data:
cities and state are interpred as the two fields of the record.
You can specify the node to be read in the xml() function, as shown in A3. Here’s A4’s result:
The XML format supports using various ways to define the value of a node. For example:
<?xml version="1.0" encoding="ISO-8859-13"?>
<data>
<state>
<STATEID NAME="Alabama" ABBR="AL">1</STATEID>
<STATEID NAME=" Alaska" ABBR="AK">2</STATEID>
</state>
</data>
We use the xml@s() function to read this types of XML data:
|
A |
1 |
file("data2.xml") |
2 |
=xml@s(A1.read()) |
Here’s A2’s result: