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20.06.2012
/local
53G 29G 22G 57% /vnfs/usr/local
From the output, it can be seen that only 217MB of memory is used on the compute node for storing the local OS. Given that you can easily and inexpensively buy 8GB
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22.05.2012
:
Scientific Linux 6.2
2.6.32-220.4.1.el6.x86_64 kernel
GigaByte MAA78GM-US2H motherboard
AMD Phenom II X4 920 CPU (four cores)
8GB of memory (DDR2-800)
The OS and boot drive are on an IBM DTLA
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06.05.2014
: In Hadoop 1.x, all applications were dependent on the use of MapReduce.
Whenever you hear people refer to the 0.23 branch (Figure 7), they are talking about Hadoop 2.2.x. The version number 2.2.0 refers
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20.05.2014
include some of the biggest names in IT, social media, and the entertainment industry, including Amazon Web Services, AOL, Apple, eBay, Facebook, Netflix, and HP. However, Hadoop 2.2.x is especially
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18.07.2013
buffered disk reads: 616 MB in
3.00 seconds = 205.03 MB/sec
$ hdparm -T /dev/sda
/dev/sda:
Timing cached reads: 6292 MB in
2.00 seconds = 3153.09 MB/sec
If this were a spinning disk, you would also
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24.02.2022
.22 1835.22 0.00 28.68 28.68 28.68 0.00 11.15941 NA NA 0 4 1 1 1
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07.04.2022
:
Operation Max(MiB) Min(MiB) Mean(MiB) StdDev Max(OPs) Min(OPs) Mean(OPs) ...
... write 1835.22 1835.22 1835.22 0.00 28.68 28.68 28.68
**
... StdDev Mean
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07.11.2023
can save some partitions or devices for later when the requests for more space arrive. You can also create PVs and just leave them for later.
Listing 1 is an example from an Ubuntu 22.04 system
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02.02.2021
dockerrepo.matrix.dev/gentoo-glibc:latest-amd64 && touch pushtime
Sending build context to Docker daemon 21.12MB
Step 1/2 : FROM dockerrepo.matrix.dev/gentoo-base:latest
---> 22fe37b24ebe
Step 2/2 : ADD
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04.02.2014
----------------------------------------------------------------------------------------------------
20 Seq Scan on mail (cost=0.00..5628.25 rows=4 width=961) (actual
21 time=2.401..1519.809 rows=672 loops=1)
22 Filter: (msg ~ '(updatable|views)'::text)
23 Rows Removed by Filter: 40148
24
