I have this table
CREATE TABLE Test_T (
COL_1 VARCHAR(30),
COL_2 XMLTYPE
);
With this inside
INSERT INTO Test_T VALUES ('one', XMLType('<?xml version="1.0" encoding="UTF-8"?>
<breakfast_menu>
<food>
<name>Belgian Waffles</name>
<price>$5.95</price>
<description>Two of our famous Belgian Waffles with plenty of real maple syrup</description>
<calories>650</calories>
</food>
<food>
<name>Strawberry Belgian Waffles</name>
<price>$7.95</price>
<description>Light Belgian waffles covered with strawberries and whipped cream</description>
<calories>900</calories>
</food>
<food>
<name>Berry-Berry Belgian Waffles</name>
<price>$8.95</price>
<description>Light Belgian waffles covered with an assortment of fresh berries and whipped cream</description>
<calories>900</calories>
</food>
<food>
<name>French Toast</name>
<price>$4.50</price>
<description>Thick slices made from our homemade sourdough bread</description>
<calories>600</calories>
</food>
<food>
<name>Homestyle Breakfast</name>
<price>$6.95</price>
<description>Two eggs, bacon or sausage, toast, and our ever-popular hash browns</description>
<calories>950</calories>
</food>
</breakfast_menu>
'));
I want to select the Name And description
from this table where the name
contains Belgian
I started with this select statement but it doesn't seem to be working
SELECT XMLTYPE FROM Test_T WHERE ('/breakfast_menu/food[contains(name, 'Belgian')]');
Could anyone point me in the right direction?
You're looking for XMLTABLE
.
Here's how a SQL statement would look like against your XML -
SELECT name, description
FROM test_t,
XMLTABLE (
'/breakfast_menu/food[contains(name,"Belgian")]'
PASSING test_t.col_2
COLUMNS name VARCHAR2 (100) PATH 'name',
description VARCHAR2 (100) PATH 'description');
Another way to write the same thing would be -
SELECT name, description
FROM test_t,
XMLTABLE (
'/breakfast_menu/food'
PASSING test_t.col_2
COLUMNS name VARCHAR2 (100) PATH 'name',
description VARCHAR2 (100) PATH 'description')
WHERE name LIKE '%Belgian%';
Depending on various factors, one of these could be more efficient. You can run diagnostics and figure out which kind of filtering is best for your data.