Dead Space (Highly Compressed Only 350MB).rarl

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Dead Space (Highly Compressed Only 350MB).rarl

Please note that Parquet compression is a completely new format and works only in combination with Redshift version 9 or later. With Parquet compression your compressed file size will be around half of the uncompressed size and your query will cost around the same as a regular Redshift query.

If you only care about your own footprint and not about measuring the potential life cycle of your applications, you can just add -XX:+UnlockExperimentalVMOption to your startup parameters. That makes the VM programmatically cancel the young generation collection event, which, if enabled, is a good way to let the heap space in the current generation grow until it reaches the guaranteed minimum. The good thing about that is that it will automatically suspend the concurrent start of the young generation once the maximum space is reached. If you don’t care about the potential life cycle of your application, you can just use that option without worrying about the possible effects.

To get high-compressed dead space with the CMS collector, we can use the same trick as before. We can use the -XX:+UseConcMarkSweepGCflag. This will activate the CMS collector and turn on heuristics for the old generation spaceclearing. However, using the -XX:+UseConcMarkSweepGCflag, the CMS collector requires a certain amount of old generation space. To be able to properly initialize its sweep job, it needs to have at least 95% of the old generation memory free. If the old generation space is below that threshold, the sweep job will simply ignore it. To get around this, we can use the -XX:+CMSClassUnloadingEnabledflag to turn on CMS class unloading. If this class unloading is activated, the collected class are unloaded during the sweep job.

Heap 26MB (but drops to 17MB after a manual GC), non-heap 45MB (Code Cache 11MB, Compressed Class Space 4MB, Metaspace 22MB), 2286 classes. The graph below shows the heap usage from launching the app to the end state. The big drop in the middle is the manual GC, and you can see that after this the app stabilizes at a different saw tooth.
Heap 17MB (but drops to 13MB after a manual GC), non-heap 42MB (Code Cache 11MB, Compressed Class Space 4MB, Metaspace 24MB), 2343 classes. The graph below shows the heap usage from launching the app to the end state. The big drop in the middle is the manual GC, and you can see that after this the app stabilizes at a different saw tooth.
For those of you thinking that there seems to be plenty of space to include an ethernet port above the depicted ports on the back of the device, remember that the ethernet port needs to be attached to the edge of the devices circuit board. Judging by the placement of the ports on the back, the Fire TV Cube likely uses a circuit board positioned near the bottom of the device. This means that only ports on that plane would be possible without unconventional internal extension cables.
That’s where we come in. BaseSpace requires an internet connection, but if the internet goes down or latency is too slow, we will cache the data locally to the BaseSpace client before the client connects to BaseSpace. This ensures that all data stays local to the client and we only ever connect to BaseSpace over an internet connection.
As to your comment about needing full 100 Mbps for 4K content, Amazon and Netflix both stream 4K at around 15 Mbps. A 100 Mbps connection is more than enough for all streaming content. Even if there was a service that streamed uncompressed 4K Bluray video, which there isnt, that would only require 40 Mbps.
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