damn 30 seconds
I believe there are robot-type programs (bots?) that can attack and crash sites
by searching like crazy. So, the 30 second rule stops that.
Help a brother out here Brains.
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I believe there are robot-type programs (bots?) that can attack and crash sites
by searching like crazy. So, the 30 second rule stops that.
Help a brother out here Brains.

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I believe there are robot-type programs (bots?) that can attack and crash sites
by searching like crazy. So, the 30 second rule stops that.
Help a brother out here Brains.

its time to hunt down every last one of these damn robots and kill the lot of em
viva la resistance!
That's why they turned off search for people who aren't registered / logged in, about six months ago.
Along with a number of other features that were disabled/limited around then, it's done as a temporary workaround until whenever things really get fixed.
Think of it this way -- you are a file clerk at a company with 60,000 employees, and over 4 million documents in a filing center. Throughout the course of your work day, most of these employees request documents from you one at a time, and request them by a unique ID number. You find the document and hand it to them. Now, you're also tasked with finding documents for folks by what's written on them. Joe from Accounting says "I need all documents that talk about 'big blue widgets'." So, you go off to look through the documents. In the mean time, all the regular employees are still asking you for documents. Now Mary from Purchasing wants all the documents written by Fred in Logistics, and then Buford from Sanitation wants every document about trash cans. All the while, you're still expected to get everyone their documents by number.
This is exactly what we're up against with search. Finding things by number (ie. post id or thread id, the number displayed in the address bar) is very fast and easy. Finding things by the words INSIDE that document is not -- the system has to read through the documents (rather, indexes of the documents) to find what you want, make a list of ID numbers, and then return the results. All the while, its still handing out regular documents.
Some folks have even said "well Google does it, why can't you?" We have 4 servers now. Google has, at the last estimate over 2 years ago, well over 100,000 servers. Its a simple matter of scale.
You can use Google to search this board. I've done it before.
Put "STS turbo" site:ls1tech.com into Google, it searches THEIR database. It's fast and it doesn't hurt the board. Granted it will not give you the newest stuff, but if you are searching for many instances of a given topic it works well.
Search is the major problem.
PMs aren't searched.
So no. Don't worry about it.
Think of it this way -- you are a file clerk at a company with 60,000 employees, and over 4 million documents in a filing center. Throughout the course of your work day, most of these employees request documents from you one at a time, and request them by a unique ID number. You find the document and hand it to them. Now, you're also tasked with finding documents for folks by what's written on them. Joe from Accounting says "I need all documents that talk about 'big blue widgets'." So, you go off to look through the documents. In the mean time, all the regular employees are still asking you for documents. Now Mary from Purchasing wants all the documents written by Fred in Logistics, and then Buford from Sanitation wants every document about trash cans. All the while, you're still expected to get everyone their documents by number.
This is exactly what we're up against with search. Finding things by number (ie. post id or thread id, the number displayed in the address bar) is very fast and easy. Finding things by the words INSIDE that document is not -- the system has to read through the documents (rather, indexes of the documents) to find what you want, make a list of ID numbers, and then return the results. All the while, its still handing out regular documents.
Some folks have even said "well Google does it, why can't you?" We have 4 servers now. Google has, at the last estimate over 2 years ago, well over 100,000 servers. Its a simple matter of scale.


