awk - <tr><td> output - html

I have the following html
<table id="statTableHTML" class="table hidden"><thead><tr><th>Characteristic</th><th>GCI Score</th><th>Legal</th><th>Technical</th><th>Organizational</th><th>Capacity Building</th><th>Cooperation</th></tr></thead><tbody><tr><td>United Kingdom</td><td>0.93</td><td>0.2</td><td>0.19</td><td>0.2</td><td>0.19</td><td>0.15</td></tr><tr><td>United States</td><td>0.93</td><td>0.2</td><td>0.18</td><td>0.2</td><td>0.19</td><td>0.15</td></tr><tr><td>France</td><td>0.92</td><td>0.2</td><td>0.19</td><td>0.2</td><td>0.19</td><td>0.14</td></tr><tr><td>Lithuania</td><td>0.91</td><td>0.2</td><td>0.17</td><td>0.2</td><td>0.19</td><td>0.16</td></tr><tr><td>Estonia</td><td>0.91</td><td>0.2</td><td>0.2</td><td>0.19</td><td>0.17</td><td>0.15</td></tr><tr><td>Singapore</td><td>0.9</td><td>0.2</td><td>0.19</td><td>0.19</td><td>0.2</td><td>0.13</td></tr><tr><td>Spain</td><td>0.9</td><td>0.2</td><td>0.18</td><td>0.2</td><td>0.17</td><td>0.15</td></tr><tr><td>Malaysia</td><td>0.89</td><td>0.18</td><td>0.2</td><td>0.2</td><td>0.2</td><td>0.12</td></tr><tr><td>Norway</td><td>0.89</td><td>0.19</td><td>0.2</td><td>0.18</td><td>0.19</td><td>0.14</td></tr><tr><td>Canada</td><td>0.89</td><td>0.2</td><td>0.19</td><td>0.2</td><td>0.17</td><td>0.14</td></tr><tr><td>Australia</td><td>0.89</td><td>0.2</td><td>0.17</td><td>0.2</td><td>0.18</td><td>0.14</td></tr></tbody></table>
I would like to get all the values within the tr, td elements.
I have the following
awk -F '</*td>|</*tr>' '{print $5, $7, $9, $11, $13, $15, $17}'
however it only outputs the first row
United Kingdom 0.93 0.2 0.19 0.2 0.19 0.15
how can i write this so I get all the values of the rows?
thanks

With GNU awk for multi-char RS:
$ awk -v RS='<tr><td>|</td></tr>' -F'(</?td>)+' -v OFS='\t' 'NF>1{$1=$1; print}' file
United Kingdom 0.93 0.2 0.19 0.2 0.19 0.15
United States 0.93 0.2 0.18 0.2 0.19 0.15
France 0.92 0.2 0.19 0.2 0.19 0.14
Lithuania 0.91 0.2 0.17 0.2 0.19 0.16
Estonia 0.91 0.2 0.2 0.19 0.17 0.15
Singapore 0.9 0.2 0.19 0.19 0.2 0.13
Spain 0.9 0.2 0.18 0.2 0.17 0.15
Malaysia 0.89 0.18 0.2 0.2 0.2 0.12
Norway 0.89 0.19 0.2 0.18 0.19 0.14
Canada 0.89 0.2 0.19 0.2 0.17 0.14
Australia 0.89 0.2 0.17 0.2 0.18 0.14
or if you prefer tabular instead of tab-separated output just pipe it to column:
$ awk -v RS='<tr><td>|</td></tr>' -F'(</?td>)+' -v OFS='\t' 'NF>1{$1=$1; print}' file | column -s$'\t' -t
United Kingdom 0.93 0.2 0.19 0.2 0.19 0.15
United States 0.93 0.2 0.18 0.2 0.19 0.15
France 0.92 0.2 0.19 0.2 0.19 0.14
Lithuania 0.91 0.2 0.17 0.2 0.19 0.16
Estonia 0.91 0.2 0.2 0.19 0.17 0.15
Singapore 0.9 0.2 0.19 0.19 0.2 0.13
Spain 0.9 0.2 0.18 0.2 0.17 0.15
Malaysia 0.89 0.18 0.2 0.2 0.2 0.12
Norway 0.89 0.19 0.2 0.18 0.19 0.14
Canada 0.89 0.2 0.19 0.2 0.17 0.14
Australia 0.89 0.2 0.17 0.2 0.18 0.14

Something like:
awk -F '</*td>|</*tr>' '{ for (i=5;i<=NF-1;i+=2) print $i }' file
should get you the values, but they will be output in a single column so you will need to format the column further with e.g.
awk -F '</*td>|</*tr>' '{ for (i=5;i<=NF-1;i+=2) print $i }' test | awk -v RS= '{gsub(/\n/, "\t")}1'
United Kingdom 0.93 0.2 0.19 0.2 0.19 0.15
United States 0.93 0.2 0.18 0.2 0.19 0.15
France 0.92 0.2 0.19 0.2 0.19 0.14
Lithuania 0.91 0.2 0.17 0.2 0.19 0.16
Estonia 0.91 0.2 0.2 0.19 0.17 0.15
Singapore 0.9 0.2 0.19 0.19 0.2 0.13
Spain 0.9 0.2 0.18 0.2 0.17 0.15
Malaysia 0.89 0.18 0.2 0.2 0.2 0.12
Norway 0.89 0.19 0.2 0.18 0.19 0.14
Canada 0.89 0.2 0.19 0.2 0.17 0.14
Australia 0.89 0.2 0.17 0.2 0.18 0.14

Check how your regex is matching each field. Each line of the output starts with the number of the field you came up with. Empty lines mean <tr> and <td> were side by side.
You could try this, instead:
BEGIN{RS="<\/?t[dr]><\/?t[dr]>";ORS=" "}
$0 && !/^</
END{printf "\n"}
Try it online!
It removes all trs and tds, regarding them as record separators. The output record separator becomes a space. Then, only prints non-blank records that do not start with <, i.e., that do not start with a html tag. Also prints a trailing newline, for the sake of POSIX definition of a line.

Based on your attempt, seems like number of columns per row is known to be 7. So, you can use tools like xpath or xmllint and then use pr to format the output.
$ # same as: xmllint --xpath '//tr/td/text()'
$ xpath -q -e '//tr/td/text()' ip.html | pr -7ats' '
United Kingdom 0.93 0.2 0.19 0.2 0.19 0.15
United States 0.93 0.2 0.18 0.2 0.19 0.15
France 0.92 0.2 0.19 0.2 0.19 0.14
Lithuania 0.91 0.2 0.17 0.2 0.19 0.16
Estonia 0.91 0.2 0.2 0.19 0.17 0.15
Singapore 0.9 0.2 0.19 0.19 0.2 0.13
Spain 0.9 0.2 0.18 0.2 0.17 0.15
Malaysia 0.89 0.18 0.2 0.2 0.2 0.12
Norway 0.89 0.19 0.2 0.18 0.19 0.14
Canada 0.89 0.2 0.19 0.2 0.17 0.14
Australia 0.89 0.2 0.17 0.2 0.18 0.14

Related

Multi-GPU Peer-to-Peer Slow between Particular Pairs

I have 8 RTX GPUs. When run p2pBandwidthLatencyTest, The latencies between GPU0 and GPU1, GPU2 and GPU3, GPU4 and GPU5, GPU6 and GPU7 is 40,000 times slower than other pairs:
P2P=Enabled Latency (P2P Writes) Matrix (us)
GPU 0 1 2 3 4 5 6 7
0 1.80 49354.72 1.70 1.70 1.74 1.74 1.74 1.72
1 49354.84 1.37 1.70 1.69 1.74 1.76 1.73 1.72
2 1.88 1.81 1.73 49355.00 1.79 1.76 1.76 1.75
3 1.88 1.79 49354.85 1.33 3.79 3.84 3.88 3.91
4 1.89 1.88 1.90 1.87 1.72 49354.96 3.49 3.56
5 2.30 1.93 1.88 1.89 49354.89 1.32 3.63 3.60
6 2.55 2.53 2.37 2.29 2.24 2.26 3.50 49354.77
7 2.30 2.27 2.29 1.87 1.82 1.83 49354.85 1.36
Compare it with when peer-to-peer is disabled:
P2P=Disabled Latency Matrix (us)
GPU 0 1 2 3 4 5 6 7
0 1.80 14.31 13.86 13.49 14.52 13.89 13.58 13.58
1 13.71 1.82 14.44 13.95 14.65 13.62 15.05 15.20
2 13.38 14.23 1.73 16.59 13.77 15.44 14.10 13.64
3 12.68 15.62 12.50 1.77 14.92 15.01 15.17 14.87
4 13.51 13.60 15.09 13.40 1.27 12.48 12.68 19.47
5 14.92 13.84 13.42 13.42 16.53 1.30 16.37 16.60
6 14.29 13.62 14.66 13.62 14.90 13.70 1.32 14.33
7 14.26 13.42 14.35 13.53 16.89 14.26 17.03 1.36
Is this normal?
It turns out the super slow peer-to-peer is abnormal.
After I disable IOMMU (Intel VT-d) in the BIOS, the problem is gone:
P2P=Enabled Latency (P2P Writes) Matrix (us)
GPU 0 1 2 3 4 5 6 7
0 1.34 1.22 1.68 1.69 1.71 1.70 1.75 1.73
1 1.20 1.38 1.70 1.67 1.71 1.75 1.75 1.72
2 1.69 1.67 1.29 1.20 1.73 1.75 1.75 1.75
3 1.69 1.66 1.17 1.29 1.74 1.75 1.72 1.73
4 1.72 1.76 1.74 1.70 1.32 1.13 1.66 1.70
5 1.74 1.73 1.75 1.74 1.18 1.28 1.67 1.69
6 1.75 1.74 1.74 1.72 1.67 1.68 1.31 1.19
7 1.76 1.75 1.73 1.73 1.67 1.69 1.18 1.32
It seems the problem is the same as or is very similar to discussions in:
https://github.com/pytorch/pytorch/issues/1637
https://github.com/pytorch/pytorch/issues/24081
A few possible solutions are mentioned in the discussions:
Disable IOMMU:
https://github.com/pytorch/pytorch/issues/1637#issuecomment-338268158
https://github.com/pytorch/pytorch/issues/1637#issuecomment-401422046
Disable ACS:
https://github.com/pytorch/pytorch/issues/24081#issuecomment-557074611
https://github.com/pytorch/pytorch/issues/24081#issuecomment-547976127
My system having the problem only had IOMMU enabled in the BIOS. ACS was not turned on as lspci -vvv | grep ACS got back nothing.
==============================
Background on I/O MMU:
https://en.wikipedia.org/wiki/X86_virtualization#I/O_MMU_virtualization_(AMD-Vi_and_Intel_VT-d)
It's part of the x86 virtualization. It's the virtualization done by the chipset. Besides the name IOMMU, it's also called AMD-Vi or Intel VT-d. Not to be confused with AMD-V and Intel VT-x which are virtualization via the CPU.

SVG vertical alignment issue in IE

I have a sample code here. This works perfectly in chrome, edge, firefox. But it seems to be an issue in IE. I use IE11.
<div class="text">
<span>
<svg xmlns="http://www.w3.org/2000/svg" class="image" viewBox="0 0 512 512"><path d="M 417.1 509.3 h -0.4 c -3.5 -0.3 -6.5 -1.8 -8.7 -4.3 c -2.2 -2.6 -3.3 -5.8 -3.1 -9.3 v -0.2 l 6.3 -49.2 C 366.1 485.4 308.4 507 248.5 507 c -9.7 0 -19.7 -0.6 -29.4 -1.8 c -65.8 -7.9 -124.6 -40.9 -165.5 -93.1 C 14.1 361.7 -3.9 297.6 3 231.7 c 0.1 -1.3 0.3 -2.6 0.4 -3.9 c 0.3 -3 1.4 -5.6 3 -8 c 3.4 -5 8.9 -7.9 14.9 -7.9 c 0.7 0 1.5 0 2.2 0.1 c 4.8 0.5 9.1 3 12.1 6.8 c 3 3.7 4.2 8.4 3.8 13 v 0.3 c -0.1 1.1 -0.2 2.2 -0.4 3.3 c -5.9 56.5 9.4 111.4 43.1 154.3 c 35 44.5 85.2 72.8 141.5 79.5 c 8.4 1 16.8 1.5 25.2 1.5 c 51.4 0 100.9 -18.6 139.5 -52.3 c 1.6 -1.4 3.1 -2.7 4.7 -4.1 l -60.6 -1.5 h -0.2 c -4.5 -0.3 -8.8 -2.3 -11.4 -5.3 c -1.8 -2.1 -2.7 -4.8 -2.4 -7.4 v -0.2 l 0.2 -5.4 v -0.4 c 0.3 -2.1 1.1 -4.1 2.3 -5.9 c 2.6 -3.8 7.1 -6.2 11.6 -6.2 h 0.5 l 96.1 2.6 h 0.4 l 6.3 0.3 c 3.6 0.2 6.8 1.7 9.1 4.4 c 2.3 2.6 3.4 6 3.1 9.6 l -0.6 6.3 l -0.1 0.4 l -11.6 93.7 c -0.2 2.2 -1 4.2 -2.1 5.8 c -2.2 3.3 -6 5.2 -10.6 5.2 h -1 l -4.9 -1 Z m 75.2 -210.7 c -0.7 0 -1.5 0 -2.1 -0.1 c -9.7 -1.2 -16.8 -10 -15.8 -19.8 v -0.3 c 0.1 -1 0.2 -2 0.3 -3.1 c 5.8 -55.1 -9.9 -109.4 -44.2 -153.1 c -35 -44.5 -85.2 -72.8 -141.4 -79.5 c -8.9 -1.1 -17.8 -1.6 -26.5 -1.6 c -20.6 0 -41 3 -60.7 8.8 c -28.4 8.5 -54.1 22.6 -76.5 42.1 c -5 4.3 -9.7 8.9 -14.3 13.6 l 61.4 1.5 h 0.2 c 4.2 0.3 8.4 2.3 10.9 5.3 c 2.5 2.9 2.9 5.8 2.6 7.8 v 0.3 l 0.1 5 l -0.1 0.6 c -0.3 2 -1.1 4 -2.2 5.7 c -2.6 3.8 -7.1 6.2 -11.6 6.2 h -0.6 l -96.1 -2.6 h -0.3 l -6.5 -0.3 c -3.6 -0.2 -6.8 -1.7 -9.1 -4.4 c -2.3 -2.6 -3.4 -6 -3.1 -9.6 l 0.6 -6.3 l 0.1 -0.4 L 69 20.7 c 0.2 -2.2 1.1 -4.3 2.3 -6.1 c 2.5 -3.7 6.7 -6 11.1 -6.2 h 1.1 l 5 1.2 h 0.4 c 2.9 0.2 5.3 1.6 7.3 3.8 c 2.4 2.9 3.8 7.2 3.5 11.2 v 0.3 l -6 47.3 c 2.6 -2.5 5.3 -5 7.9 -7.3 C 127.9 42 158 25.4 191.2 15.4 C 214.3 8.5 238.3 5 262.5 5 c 10.2 0 20.6 0.6 30.9 1.9 C 359.2 14.7 418 47.8 458.9 100 c 40.1 51.1 58.5 114.6 51.7 179.1 c -0.1 1.3 -0.3 2.4 -0.4 3.7 c -0.3 2.9 -1.4 5.6 -3 8 c -3.4 4.8 -9 7.8 -14.9 7.8 Z" /></svg>
sample text after the svg image
</span>
</div>
<style>
.text{
margin: 55px 0px;
width: 70%;
}
.image {
width: 15px;
margin-right: 10px;
}
</style>
I expect the same output it shows in chrome.
I fixed you issue in IE
.text{
margin: 55px 0px;
width: 70%;
}
.image {
width: 15px;
margin-right: 10px;
vertical-align: middle;
}
<div class="text">
<span>
<svg xmlns="http://www.w3.org/2000/svg" class="image" viewBox="0 0 512 512"><path d="M 417.1 509.3 h -0.4 c -3.5 -0.3 -6.5 -1.8 -8.7 -4.3 c -2.2 -2.6 -3.3 -5.8 -3.1 -9.3 v -0.2 l 6.3 -49.2 C 366.1 485.4 308.4 507 248.5 507 c -9.7 0 -19.7 -0.6 -29.4 -1.8 c -65.8 -7.9 -124.6 -40.9 -165.5 -93.1 C 14.1 361.7 -3.9 297.6 3 231.7 c 0.1 -1.3 0.3 -2.6 0.4 -3.9 c 0.3 -3 1.4 -5.6 3 -8 c 3.4 -5 8.9 -7.9 14.9 -7.9 c 0.7 0 1.5 0 2.2 0.1 c 4.8 0.5 9.1 3 12.1 6.8 c 3 3.7 4.2 8.4 3.8 13 v 0.3 c -0.1 1.1 -0.2 2.2 -0.4 3.3 c -5.9 56.5 9.4 111.4 43.1 154.3 c 35 44.5 85.2 72.8 141.5 79.5 c 8.4 1 16.8 1.5 25.2 1.5 c 51.4 0 100.9 -18.6 139.5 -52.3 c 1.6 -1.4 3.1 -2.7 4.7 -4.1 l -60.6 -1.5 h -0.2 c -4.5 -0.3 -8.8 -2.3 -11.4 -5.3 c -1.8 -2.1 -2.7 -4.8 -2.4 -7.4 v -0.2 l 0.2 -5.4 v -0.4 c 0.3 -2.1 1.1 -4.1 2.3 -5.9 c 2.6 -3.8 7.1 -6.2 11.6 -6.2 h 0.5 l 96.1 2.6 h 0.4 l 6.3 0.3 c 3.6 0.2 6.8 1.7 9.1 4.4 c 2.3 2.6 3.4 6 3.1 9.6 l -0.6 6.3 l -0.1 0.4 l -11.6 93.7 c -0.2 2.2 -1 4.2 -2.1 5.8 c -2.2 3.3 -6 5.2 -10.6 5.2 h -1 l -4.9 -1 Z m 75.2 -210.7 c -0.7 0 -1.5 0 -2.1 -0.1 c -9.7 -1.2 -16.8 -10 -15.8 -19.8 v -0.3 c 0.1 -1 0.2 -2 0.3 -3.1 c 5.8 -55.1 -9.9 -109.4 -44.2 -153.1 c -35 -44.5 -85.2 -72.8 -141.4 -79.5 c -8.9 -1.1 -17.8 -1.6 -26.5 -1.6 c -20.6 0 -41 3 -60.7 8.8 c -28.4 8.5 -54.1 22.6 -76.5 42.1 c -5 4.3 -9.7 8.9 -14.3 13.6 l 61.4 1.5 h 0.2 c 4.2 0.3 8.4 2.3 10.9 5.3 c 2.5 2.9 2.9 5.8 2.6 7.8 v 0.3 l 0.1 5 l -0.1 0.6 c -0.3 2 -1.1 4 -2.2 5.7 c -2.6 3.8 -7.1 6.2 -11.6 6.2 h -0.6 l -96.1 -2.6 h -0.3 l -6.5 -0.3 c -3.6 -0.2 -6.8 -1.7 -9.1 -4.4 c -2.3 -2.6 -3.4 -6 -3.1 -9.6 l 0.6 -6.3 l 0.1 -0.4 L 69 20.7 c 0.2 -2.2 1.1 -4.3 2.3 -6.1 c 2.5 -3.7 6.7 -6 11.1 -6.2 h 1.1 l 5 1.2 h 0.4 c 2.9 0.2 5.3 1.6 7.3 3.8 c 2.4 2.9 3.8 7.2 3.5 11.2 v 0.3 l -6 47.3 c 2.6 -2.5 5.3 -5 7.9 -7.3 C 127.9 42 158 25.4 191.2 15.4 C 214.3 8.5 238.3 5 262.5 5 c 10.2 0 20.6 0.6 30.9 1.9 C 359.2 14.7 418 47.8 458.9 100 c 40.1 51.1 58.5 114.6 51.7 179.1 c -0.1 1.3 -0.3 2.4 -0.4 3.7 c -0.3 2.9 -1.4 5.6 -3 8 c -3.4 4.8 -9 7.8 -14.9 7.8 Z" /></svg>
<span>sample text after the svg image</span>
</span>
</div>

Scraping federal note yield table from the treasury website

I would like to download the 10-year federal note yield from the treasury website: https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield
To parse the above webpage and retrieve the most recent 10 yr treasury note yield, I used to follow the instructions provided here:
Parsing 10-year federal note yield from the website
library(httr)
URL = "https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield"
urldata <- GET(URL)
data <- readHTMLTable(rawToChar(urldata$content),
stringsAsFactors = FALSE)
data <- as.data.frame((data[69]))
names(data) <- gsub("NULL.","", names(data)) # Take out "NULL."
But it no longer works.
Any thoughts what may be wrong or alternative suggestions?
This does not answer the specific question of why your code no longer works. Here is an alternative using rvest package which simplifies many scraping operations. In particular below, the selection of the table is made with the class id CSS selector .t-chart. This makes it much more tolerant of page formatting changes. The chaining with operator %>% makes for very compact code.
library(rvest)
t_url = "https://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield"
rates <- read_html(t_url) %>%
html_node(".t-chart") %>%
html_table()
rates
# Date 1 mo 3 mo 6 mo 1 yr 2 yr 3 yr 5 yr 7 yr 10 yr 20 yr 30 yr
# 1 04/03/17 0.73 0.79 0.92 1.02 1.24 1.47 1.88 2.16 2.35 2.71 2.98
# 2 04/04/17 0.77 0.79 0.92 1.03 1.25 1.47 1.88 2.16 2.36 2.72 2.99
# 3 04/05/17 0.77 0.80 0.93 1.03 1.24 1.44 1.85 2.14 2.34 2.71 2.98
# 4 04/06/17 0.78 0.79 0.94 1.05 1.24 1.45 1.87 2.15 2.34 2.72 2.99
# 5 04/07/17 0.77 0.82 0.95 1.08 1.29 1.52 1.92 2.20 2.38 2.74 3.00
# 6 04/10/17 0.77 0.82 0.97 1.07 1.29 1.52 1.91 2.18 2.37 2.72 2.99
# 7 04/11/17 0.74 0.82 0.94 1.05 1.24 1.45 1.84 2.11 2.32 2.67 2.93
# 8 04/12/17 0.77 0.81 0.95 1.04 1.24 1.44 1.81 2.09 2.28 2.65 2.92
# 9 04/13/17 0.76 0.81 0.94 1.03 1.21 1.40 1.77 2.05 2.24 2.62 2.89

Convert data rows in column wise insql

I have multiple number of rows. I want to change into column wise.
My data
PondCrop DOC ABW TargetABW
01PA01-18 7 0 0.21
01PA01-18 15 0.59 0.77
01PA01-18 22 1.24 1.5
01PA01-18 28 0.92 2.6
01PA01-18 35 1.82 3.7
01PA01-18 42 2.6 4.8
01PA01-18 49 3.62 5.9
01PA01-18 56 4.64 7
01PA01-18 63 5.54 8.1
01PA01-18 66 6.24 8.1
01PA01-18 73 7.25 9.2
01PA02-18 7 0 0.21
01PA02-18 15 0.59 0.77
01PA02-18 22 1.24 1.5
01PA02-18 28 0.87 2.6
01PA02-18 35 1.8 3.7
01PA02-18 42 2.4 4.8
01PA02-18 49 3.51 5.9
01PA02-18 56 4.6 7
01PA02-18 63 5.51 8.1
01PA02-18 66 6.53 8.1
01PA02-18 73 7.42 9.2
01PA03-18 14 0.53 0.77
01PA03-18 21 1.14 1.5
01PA03-18 27 0.91 1.5
01PA03-18 34 1.67 2.6
01PA03-18 41 2.2 3.7
01PA03-18 48 3.24 4.8
01PA03-18 55 4.31 5.9
01PA03-18 62 4.94 7
01PA03-18 65 5.44 8.1
01PA03-18 72 6.41 9.2
01PA04-18 14 0.53 0.77
01PA04-18 21 1.14 1.5
01PA04-18 27 0.9 1.5
01PA04-18 34 1.52 2.6
01PA04-18 41 1.9 3.7
01PA04-18 48 2.6 4.8
01PA04-18 55 3.52 5.9
01PA04-18 62 4.21 7
01PA04-18 65 4.82 8.1
01PA04-18 72 5.87 9.2
01PA05-18 14 0.53 0.77
01PA05-18 21 1.14 1.5
01PA05-18 27 0.92 1.5
01PA05-18 34 1.49 2.6
01PA05-18 41 1.91 3.7
01PA05-18 48 2.64 4.8
01PA05-18 55 3.69 5.9
01PA05-18 62 4.19 7
01PA05-18 65 4.72 8.1
01PA05-18 72 5.74 9.2
01PA06-18 13 0.48 0.21
01PA06-18 20 1.04 0.77
01PA06-18 26 0.74 1.5
01PA06-18 33 1.25 2.6
01PA06-18 40 1.82 3.7
01PA06-18 47 3.12 4.8
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01PD03-09 59 4.01 7
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01PD04-09 50 3.26 5.9
01PD04-09 57 4.38 7
01PD04-09 64 5.42 8.1
01PD04-09 67 6.03 8.1
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01PD05-09 57 4.56 7
01PD05-09 64 5.52 8.1
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01PD09-09 57 4.64 7
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03PC03-16 53 5.1 5.9
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03PD01-14 48 3.49 4.8
03PD01-14 51 4.2 5.9
03PD01-14 58 5.2 7
03PD02-14 7 0.19 0.21
03PD02-14 13 0.53 0.21
03PD02-14 20 1.14 0.77
03PD02-14 27 0.85 1.5
03PD02-14 34 1.85 2.6
03PD02-14 41 2.85 3.7
03PD02-14 48 5.35 4.8
03PD02-14 51 5.5 5.9
03PD02-14 58 6.5 7
03PD03-14 11 0.37 0.21
03PD03-14 17 0.84 0.77
03PD03-14 24 0.78 1.5
03PD03-14 31 1.78 2.6
03PD03-14 38 2.55 3.7
03PD03-14 45 3.43 4.8
03PD03-14 52 5.2 5.9
03PD03-14 55 5.4 5.9
03PD03-14 62 6.2 7
03PD04-14 9 0.26 0.21
03PD04-14 15 0.64 0.77
03PD04-14 22 0.65 1.5
03PD04-14 29 1.84 2.6
03PD04-14 36 2.62 3.7
03PD04-14 43 3.38 4.8
03PD04-14 50 5.51 5.9
03PD04-14 53 5.85 5.9
03PD04-14 60 6.95 7
03PD05-15 7 0.19 0.21
03PD05-15 13 0.53 0.21
03PD05-15 20 1.14 0.77
03PD05-15 27 0.55 1.5
03PD05-15 34 1.53 2.6
03PD05-15 41 2.7 3.7
03PD05-15 48 3.57 4.8
03PD05-15 51 4.1 5.9
03PD05-15 58 5.1 7
03PD06-14 9 0.26 0.21
03PD06-14 15 0.64 0.77
03PD06-14 22 0.6 1.5
03PD06-14 29 1.7 2.6
03PD06-14 36 2.76 3.7
03PD06-14 43 3.37 4.8
03PD06-14 50 4.36 5.9
03PD06-14 53 4.7 5.9
03PD06-14 60 5.6 7
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03PD07-15 10 0.37 0.21
03PD07-15 17 0.84 0.77
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03PD08-15 15 0.64 0.77
03PD08-15 22 0.7 1.5
03PD08-15 29 1.85 2.6
03PD08-15 36 2.65 3.7
03PD08-15 43 3.4 4.8
03PD08-15 50 5.15 5.9
03PD08-15 53 5.6 5.9
03PD08-15 60 6.6 7
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05PB01-14 9 0 0.21
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06PA02-14 34 3.23 2.6
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06PA03-14 12 0.48 0.21
06PA03-14 19 1.04 0.77
06PA03-14 26 0.75 1.5
06PA03-14 29 2 2.6
06PA03-14 36 2.52 3.7
06PA04-13 12 0.48 0.21
06PA04-13 19 1.04 0.77
06PA04-13 26 0.82 1.5
06PA04-13 29 2.08 2.6
06PA04-13 36 2.6 3.7
06PA05-14 11 0.42 0.21
06PA05-14 18 0.94 0.77
06PA05-14 25 0.73 1.5
06PA05-14 28 2.16 2.6
06PA05-14 35 2.4 3.7
06PA06-14 11 0.42 0.21
06PA06-14 18 0.94 0.77
06PA06-14 25 0.81 1.5
06PA06-14 28 2.16 2.6
06PA06-14 35 2.8 3.7
06PA07-14 13 0.53 0.21
06PA07-14 20 1.14 0.77
06PA07-14 27 0.89 1.5
06PA07-14 30 2.09 2.6
06PA07-14 37 2.75 3.7
06PA08-14 13 0.53 0.21
06PA08-14 20 1.14 0.77
06PA08-14 27 0.91 1.5
06PA08-14 30 2.11 2.6
06PA08-14 37 2.82 3.7
06PB01-13 10 0.37 0.21
06PB01-13 17 0.84 0.77
06PB01-13 24 1 1.5
06PB01-13 31 2.2 2.6
06PB01-13 34 3.23 2.6
06PB01-13 41 4.48 3.7
06PB02-13 10 0.37 0.21
06PB02-13 17 0.84 0.77
06PB02-13 24 0.6 1.5
06PB02-13 31 1.61 2.6
06PB02-13 34 3.23 2.6
06PB02-13 41 3.5 3.7
06PB03-13 11 0.42 0.21
06PB03-13 18 0.94 0.77
06PB03-13 25 0.85 1.5
06PB03-13 28 2.16 2.6
06PB03-13 35 3 3.7
06PB04-13 11 0.42 0.21
06PB04-13 18 0.94 0.77
06PB04-13 25 0.73 1.5
06PB04-13 28 2.16 2.6
06PB04-13 35 2.5 3.7
06PB05-13 11 0.42 0.21
06PB05-13 18 0.94 0.77
06PB05-13 25 0.85 1.5
06PB05-13 28 2.3 2.6
06PB05-13 35 3 3.7
06PB06-13 11 0.42 0.21
06PB06-13 18 0.94 0.77
06PB06-13 25 1 1.5
06PB06-13 28 2.16 2.6
06PB06-13 35 2.8 3.7
06PB07-13 13 0.53 0.21
06PB07-13 20 1.14 0.77
06PB07-13 27 0.75 1.5
06PB07-13 30 0.95 2.6
06PB07-13 37 2.5 3.7
06PB08-14 13 0.53 0.21
06PB08-14 20 1.14 0.77
06PB08-14 27 0.9 1.5
06PB08-14 30 1.2 2.6
06PB08-14 37 3.5 3.7
06PC07-13 7 0.22 0.21
06PC07-13 14 0.59 0.77
06PC07-13 21 1.24 1.5
06PC07-13 24 0.88 1.5
06PC07-13 31 2 2.6
06PC08-13 13 0.19 0.21
06PC08-13 20 0.19 0.77
06PC08-13 23 0.19 1.5
I want the data to be like these
+------------+------------+------------+------------+------------+--------+
| 01PA05-18 | 01PA06-18 | 01PA07-18 | 01PA08-18 | 01PA09-18 | Target |
+-----+------+-----+------+-----+------+-----+------+-----+------+--------+
| DOC | ABW | DOC | ABW | DOC | ABW | DOC | ABW | DOC | ABW | ABW |
+-----+------+-----+------+-----+------+-----+------+-----+------+--------+
| 6 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 0.2 |
| 13 | 0.53 | 12 | 0.48 | 12 | 0.48 | 12 | 0.48 | 12 | 0.48 | 0.77 |
| 20 | 1.14 | 19 | 1.04 | 19 | 1.04 | 19 | 1.04 | 19 | 1.04 | 1.5 |
| 27 | 0.92 | 26 | 0.74 | 26 | 0.72 | 26 | 0.7 | 26 | 0.71 | 2.6 |
| 34 | 1.49 | 33 | 1.25 | 33 | 1.32 | 33 | 1.30 | 33 | 1.22 | 3.7 |
| 41 | 1.91 | 40 | 1.82 | 40 | 1.84 | 40 | 1.80 | 40 | 1.85 | 4.8 |
| 48 | 2.64 | 47 | 3.12 | 47 | 3.05 | 47 | 3.07 | 47 | 2.90 | 5.9 |
| 55 | 3.69 | 54 | 4.40 | 54 | 4.12 | 54 | 3.72 | 54 | 3.74 | 7 |
| 62 | 4.19 | 61 | 5.44 | 61 | 5.21 | 61 | 4.52 | 61 | 4.40 | 8.1 |
| 65 | 4.72 | 64 | 6.46 | 64 | 6.00 | 64 | 5.11 | 64 | 4.92 | 9.2 |
| 72 | 5.74 | 71 | 7.30 | 71 | 6.90 | 71 | 5.87 | 71 | 5.78 | 10.3 |
+-----+------+-----+------+-----+------+-----+------+-----+------+--------+
try using case
Case when PondCrop =01PA03-18
then //your code
else //your code
end case as 01PA03-18

How to interpret iostat?

I track a lot of parameters on my Server and the only thing I can't realy put in perspective is the IOstat. It is a MySQL Server, is this a good result, or should I worry?
root:/var/lib/mysql# iostat -xc
Linux 2.6.28-11-server () 07/25/2009 _x86_64_ (8 CPU)
avg-cpu: %user %nice %system %iowait %steal %idle
3.66 0.19 0.45 1.04 0.00 94.69
Device: rrqm/s wrqm/s r/s w/s rsec/s wsec/s avgrq-sz avgqu-sz await svctm %util
sda 2.55 871.36 1.46 27.67 392.40 7200.45 260.64 1.02 34.85 2.48 7.22
sda1 0.18 0.61 0.03 0.01 3.60 4.98 215.91 0.01 185.95 19.25 0.08
sda2 0.01 0.00 0.00 0.00 1.03 0.02 919.32 0.00 21.36 6.94 0.00
sda3 2.36 870.75 1.43 27.66 387.76 7195.46 260.68 1.01 34.65 2.48 7.21
sdb 2.37 871.36 1.63 27.67 392.69 7200.45 259.12 0.65 22.07 2.51 7.35
sdb1 0.17 0.61 0.04 0.01 3.59 4.98 187.33 0.01 110.67 12.54 0.06
sdb2 0.00 0.00 0.00 0.00 1.03 0.02 256.48 0.00 2.36 1.50 0.00
sdb3 2.19 870.75 1.60 27.66 388.06 7195.46 259.23 0.64 21.93 2.51 7.34
md0 0.00 0.00 0.38 0.62 3.06 4.96 8.00 0.00 0.00 0.00 0.00
md1 0.00 0.00 0.00 0.00 0.00 0.02 8.36 0.00 0.00 0.00 0.00
md2 0.00 0.00 2.01 898.28 62.49 7186.28 8.05 0.00 0.00 0.00 0.00
Also what war options for decreasing read / write activity?
delay_______key_______writes
memory based Tables
less indicies
The write load is quite high on the tables.
If anyone worrying about the disk IO bottlenecks, please have a check with the following command.
iostat
If this tool is not installed then,
apt-get install sysstat
on Debian based servers.
yum install sysstat
on Redhat/CentOS based servers.
Then,
iostat -x -d sda
-here "sda" denotes your HDD
Output:
root#forum.innovationframes.com:~# iostat -x -d sda
Linux 2.6.32-24-server (forum.innovationframes.com) 10/01/2011 _x86_64_ (1 CPU)
Dev: rrqm/s wrqm/s r/s w/s rsec/s wsec/s avgrq-sz avgqu-sz await svctm **%util**
sda 0.01 0.04 0.06 0.03 1.34 0.51 21.77 0.00 5.23 0.30 **0.00**
Note:
If Util shows more than 75-80% then you should keep an eye on your HDD.