notepad++ xml node regex find and replace - regex

Question

can you tell me the what to search for in notepad++ in order to find all nodes with the optioncode 09 below and delete that node? For example, I would like to be able to search on the below xml and delete the first entry and be left with is below that.
I tried to searching for <Vehicle>.*?</Vehicle> which works to replace a blank value, however I want to also add criteria to search for the 09 value in the entire node. Is it possible to add a search condition for the ">09<" text string value?
Search here:
<Vehicle>
<InvoiceDateTime>2016-03-20T00:00:00</InvoiceDateTime>
<InvoiceChargeCents>63</InvoiceChargeCents>
<OptionCode>09</OptionCode>
<JobEndDateTime>2016-03-19T00:00:00</JobEndDateTime>
<AuthorizationCode />
</Vehicle>
<Vehicle>
<InvoiceDateTime>2016-03-20T00:00:00</InvoiceDateTime>
<InvoiceChargeCents>63</InvoiceChargeCents>
<OptionCode>35</OptionCode>
<JobEndDateTime>2016-03-19T00:00:00</JobEndDateTime>
<AuthorizationCode />
</Vehicle>
Return the entry below:
<Vehicle>
<InvoiceDateTime>2016-03-20T00:00:00</InvoiceDateTime>
<InvoiceChargeCents>63</InvoiceChargeCents>
<OptionCode>35</OptionCode>
<JobEndDateTime>2016-03-19T00:00:00</JobEndDateTime>
<AuthorizationCode />
</Vehicle>

Answer 1

My approach consists in matching the <Vehicle> opening node, and then restrict dot matching so that it could match neither opening nor closing Vehicle nodes with a tempered greedy token:
<Vehicle>(?:(?!</?Vehicle>).)*>09<.*?</Vehicle>\R*
The . matches newline option should be enabled.
See the regex demo, replace with an empty string.
The (?:(?!</?Vehicle>).)* is a tempered greedy token that matches any text up to the first >09< after the closest <Vehicle> opening node.
Note that \R* matches zero or more newline sequences (either CRLF, or CR, or LF).
Also please note that a more efficient pattern will be the unrolled version of the above pattern:
<Vehicle>[^<]*(?:<(?!\/?Vehicle>)[^<]*)*>09<.*?<\/Vehicle>\R*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
See another regex demo
It matches the same text, but is more efficient with larger texts.