Removing this line from my signature without notifying me was just another proof of it. Posted by Iangyratu on Dec 27, , PM. I did Elder both times in red maps, what I dont know if the Guardians must be in red too, or just Elder? Did Shaper survive the fight? If not, that would be the reason you didn't get your fragment.
I just completed it and the shaper survived, but i did not get the fragment, it was on a villa map so it was red. Posted by mkservial on Jan 22, , AM. See next articles. Newsletter Sign Up Continue reading the main story Please verify you're not a robot by clicking the box. Invalid email address. Please re-enter. You must select a newsletter to subscribe to.
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You may opt-out at any time. You agree to receive occasional updates and special offers for The New York Times's products and services. They were able to deploy a mitigation strategy of a sort, when they detected this behavioral pattern, they would force RavenDB to reject client requests for a short while, which would fix this issue. Eventually the customer raised another issue, that a certain spatial query was behaving very slowly in the logs. We tested that, and we found that the customer was correct. More properly, the query executed just fine when run independently.
But when we run this query tens or hundreds of times concurrently, we will see very high response times and getting worse , and we would see the server memory just blowing up very quickly. So we have a memory leak, we figured out, let us see what is going on… We dumped the data, and tried to figure out what it was exactly that we were leaking. In fact, looking at the problem, it became even curiouser. Take a look at what we saw during one of the test runs:. Somehow, we had a lot of data going into the Gen2 heap.
But when we checked the Gen2, it was pretty much empty.
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Something was very strange here. We enabled memory allocation tracking and started to look into what was going on.
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We found this very suspicious note that this is from a different run from the one above :. So FileStream. Read is allocating GBs over GBs of memory? What is going on?!
It took a while to figure out what was going on. The underlying issue was within Lucene. Actually, an intersection of a few things inside Lucene. In other words, it is going to hold that lock for a while.
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This is a very strange thing to do, why is Lucene doing it? Net version we are using. This is a single global lock for everything. Now, to be fair again, work in progress, etc. We noticed this issue a long while ago, and we solved it by using multiple FileStreams. It used more resources, but it meant that we were far more concurrent. Note that all of this actually happened years ago, and we had no problems in this area. Note that Linux program typically worry a lot more about the number of open file handles than Windows programs do. The problem was definitely related to the use of multiple FileStream.