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    <p>In Javascript:</p> <pre><code>var pattern = '\\[record:([a-zA-Z0-9]+)\\]'; var records = new RegExp(pattern, 'g'); var extract = new RegExp(pattern); var string = "Customer [record:CustomerID] from [record:CityID] is of type [record:TypeID]" var matches = string.match(records); console.log(matches); &gt; [ '[record:CustomerID]', '[record:CityID]', '[record:TypeID]' ] var records = []; for (var i=0; i&lt;matches.length; i++) { var match = matches[i].match(extract); records.push(match[1]); } console.log(records) &gt; [ 'CustomerID', 'CityID', 'TypeID' ] </code></pre> <p>Possibly not the most concise solution, but clean and (hopefully) intelligible.</p> <ul> <li>the square brackets that should not be treated specially are escaped by placing <code>\</code> in front of them</li> <li>the group to be extracted are wrapped in <code>()</code>, forming a regexp group/subpattern</li> <li>the pattern <code>[a-zA-Z0-9]+</code> means "match a string of letters (upper or lower case) or numbers" and the <code>+</code> specifies "of length one or more". A <code>*</code> here would mean "of length 0 or more".</li> </ul> <p>Here I am using two regular expressions, based on the same pattern. They are compiled with different options: the <code>g</code> flag tells the regex to look for all matches in the string. With this flag, we don't get the groups that matched with the results, just the whole string that matched. The second regex is compiled without the <code>g</code> flag, so we can use it to extract the matched group.</p>
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    1. POregular expression to extract multiple formatted values from a string
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    1. CONot sure if I made myself clear: The example string I gave is the **exact** string I want to use.
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    2. CORight. Use the regex in my (updated) example on your string, and it will extract your values into an array.
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    3. CO@chesles: Just as an FYI, when replying in comments, if you do `@username`, your reply will be shown in `username`'s notifications. This will allow them to respond to any of your comments.
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Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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