tag:blogger.com,1999:blog-22766036297082512652024-03-13T06:44:21.316-04:00In Search of Updatesbenhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.comBlogger39125tag:blogger.com,1999:blog-2276603629708251265.post-27111143475577913392017-03-25T19:02:00.000-04:002017-03-25T19:02:07.612-04:00Trying to parse key value log lines in goI want to build a honeytail parser that will take log lines that look like<br />
<br />
<span style="font-family: Courier New, Courier, monospace;">key1=val1 key2=val2 key3=val3...</span><br />
<br />
There are a few additional constraints<br />
<br />
<ul>
<li>if the value is quoted, I'd like it to have the quotes stripped</li>
<li>if the value has an equals sign in it, that's cool</li>
<li>if the value is multiple words, that's fine even if it's not quoted. (I won't go so far as to say that unquoted space separated strings should be allowed to have equals signs embedded.)</li>
</ul>
<br />
<br />
I found a library on the net to do this: github.com/kr/logfmt.<br />
<br />
<a href="https://gist.github.com/maplebed/e9658e37cd01383b64dc9c4a3f87614a">Here is the code playing with it</a><br />
<br />
Unfortunately, it had a few other ideas.<br />
<br />
<ul>
<li>a bare word (no equals sign attached) should be treated as a key with no value</li>
<li>equals signs embedded in strings should be treated as separators</li>
</ul>
<div>
You can see these rules coming through in test cases 2 and 4 in <a href="https://gist.github.com/maplebed/c9fe2908d91eba4ed4c8ae541e72e409">the output</a></div>
<div>
<br /></div>
<div>
Ah well. It was an interesting attempt.</div>
<br />
<br />
(one test case that's missing: does a number in quotes turn in to a number (float or int) or stay a string?)benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com1tag:blogger.com,1999:blog-2276603629708251265.post-64669366344631685802017-01-19T14:23:00.000-05:002017-01-19T14:23:35.476-05:00Working with ulimits and open file descriptorsYet another in the long list of things I always forget how to do between needing to do them...<br />
<br />
Cheatsheet to working with ulimits and too many open files.<br />
<dl>
<dt>list how many open file descriptors a process has</dt>
<dd><code>lsof -P [pid] | wc -l</code></dd>
<dd><code>ls /proc/[pid]/fd | wc -l</code> (cheaper)</dd>
<dt>look at limits for a specific process</dt>
<dd><code>cat /proc/[pid]/limits</code></dd>
<dt>set limits for a user</dt>
<dd>futz with <code>/etc/security/limits.conf</code> or <code>/etc/security/limits.d/*</code></dd>
<dt>show ulimits for the current process</dt>
<dd><code>ulimit -a</code></dd>
<dt>set number of open file handle limit for the current process (and processes spawned from this one)</dt>
<dd><code>ulimit -n 16384</code> (note - only root can raise hard limits)</dd>
</dl>
Hope that helps, future self.
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-13437018944336231982016-10-10T12:19:00.000-04:002016-10-10T12:24:25.618-04:00Working with the MySQL slow query log on RDS with the AWS Go SDKIn order to let you submit RDS logs directly to <a href="https://honeycomb.io/">Honeycomb</a>, I've been exploring how to use the <a href="http://docs.aws.amazon.com/sdk-for-go/api/service/rds/">go RDS SDK</a> to tail the mysql slow query log. It's fascinating the things I've discovered that I didn't find in the docs. (All of this is probably there somewhere, I just failed to find it.)<br />
<div data-section-style="5">
<ul id="ESVACAM96rp">
<li class="" id="ESVACAYeszm" value="1">The docs say the logs rotate every hour but they don't say it's on the hour or what the rotating style is. The current log (<code>slowquery.log</code>) is rotated to <code>slowquery.log.#</code> where # is the current hour (0-23) UTC. So at 18:00 UTC, the file slowquery.log.18 is written with the logs from 17:00 to 18:00 (almost. more later)
</li>
<li class="" id="ESVACAVxhpO">When asking for a portion of the log file, you can hand it an index from which to start reading and the number of lines you would like to retrieve (both optional). You get back a struct with a <code>LogFileData *string</code> containing log lines and a <code>Marker *string</code> containing the index for the next segment of the log file. The <code>Marker</code> looks like <code>#:#</code> where the first number is the hour and the second is the distance in to the file.
</li>
</ul>
</div>
Asking for current data is rather straightforward. First ask for one line of the current log file with no marker. You'll get back the most recent line (which you throw away) and the current marker. Wait a bit, then ask for the current file with the marker, and you'll get all lines since that first one. Repeat.<br />
<br />
There are two places things get interesting: log rotation (aka the top of the hour) and asking for older data.<br />
<br />
Let's say it's 17:58 UTC and you're happily tailing content, fetching additional lines every 5 seconds. You get to 18:00:02 or so and the marker switches from 18:xxxx to 19:0 and suddenly you're not getting any new data anymore. You wait and wait and ... at 18:05:00, you start getting data! but it's from 18:05:00; the data from between 18:00 and 18:05 is missing.<br />
<br />
You take the last marker you got from your tail before data stopped flowing (with the 18: prefix) and use that marker as an index into <code>slowquery.log.18</code>. This gets you the data from between 18:00:02 and 18:05:00, then stops. Or! Once some amount of time (not necessarily the full 5 minutes) you can ask the <code>slowquery.log</code> for data since the 18:offset marker and you'll get the data that's missing.<br />
<br />
Back you go to tailing the <code>slowquery.log</code>.<br />
<br />
Ok, so here's the next fun part - you can hand a marker to either the previous hour or the current hour to AWS when asking for the <code>slowquery.log</code> and it will give you data since then. If you do this after the 5 minute log rotation period has ended, you get all the intermediate data too! However, if you ask it for data where the number before the colon is not the current or previous hour, it ignores that and hands you back current data at the offset specified by the second half of the marker.<br />
<br />
You can ask for data from older files (the numbered log files) and pass them a marker, but in that case it always ignores the hour portion of the marker. It will happily return the hour portion you gave it, but it doesn't affect the data you get. In other words, when asking for data from <code>slowquery.log.8</code> passing it a marker of <code>12:123456</code> and <code>4:123456</code> are both treated as though they were <code>8:123456</code>.<br />
<br />
To poke around this for yourself, you have to have RDS configured to write the slow query log to a file. If that's the case, grab the DB instance identifier <code>aws rds describe-db-instances --output table --region us-east-1 | grep DBInstanceIdentifier</code> to list identifiers) and the log file <code>aws rds describe-db-log-files --db-instance-identifier <ID> --output table --region <region> | sort -n</code> to show log files.<br />
<br />
Once you've got your instance identifier, log file, and region handy, download <a href="https://gist.github.com/maplebed/eb0f6f0e3dc50e8bad5170c8e2e75582">this go code</a>[1] and give it a whirl:<br />
<pre id="ESVACASZJdi">go run tailrdslog.go --identifier myrdsinstanceid</pre>
Try passing it different markers and log files<br />
<pre id="ESVACA27Ffz">go run tailrdslog.go -i prod-mysql -l slowquery/mysql-slowquery.log.10 -m 14.123456</pre>
and see what happens!<br />
<br />
It is especially interesting to run this across an hour boundary to see what happens as the log rolls over. The script attempts to grab some of the data hiding in the previous log until everything to return to normal at 5 past the hour.<br />
<br />
It will output a line every 5s (the default polling interval) with<br />
<div data-section-style="5">
<ul id="ESVACAu0z9R">
<li class="" id="ESVACAalJnB" value="1">the current time
</li>
<li class="" id="ESVACAoa0an">the starting marker
</li>
<li class="" id="ESVACAtBj1y">the length of the content downloaded
</li>
<li class="" id="ESVACAVqszK">the ending marker
</li>
<li class="" id="ESVACA3UJ8j">the first timestamp encountered in the slow query log
</li>
<li class="" id="ESVACAaseWD">the last timestamp encountered in the slow query log
</li>
<li class="" id="ESVACA1M36I">(optional) sleep duration before the next poll
</li>
</ul>
</div>
<pre id="ESVACARKtUs">Oct 7 21:35:43 starting from 22:20523279, got 37424 content, next section from 22:20560703. first time is 21:35:39, last time is 21:35:43 sleeping 5 sec...
Oct 7 21:35:49 starting from 22:20560703, got 59056 content, next section from 22:20619759. first time is 21:35:43, last time is 21:35:48 sleeping 5 sec...
Oct 7 21:35:54 starting from 22:20619759, got 54649 content, next section from 22:20674408. first time is 21:35:48, last time is 21:35:53 sleeping 5 sec...
Oct 7 21:35:59 starting from 22:20674408, got 42533 content, next section from 22:20716941. first time is 21:35:54, last time is 21:35:59 sleeping 5 sec...</pre>
One nice thing to notice - the starting marker plus the content length gives you the ending marker. \o/<br />
<br />
[1] I know, and I'm sorry. It's terrible code. It's sort of OK because it's scratch code just used to explore the API. But I should be giving the world better examples. It doesn't check pointers aren't nil before derefenencing them. The control flow is awkward. Ifs are nested too deeply. Code is repeated. I encourage you to do none of those things when you cargo cult snippets in to your production application. :)benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-63351688427169869702016-04-01T18:16:00.000-04:002016-04-01T18:16:04.076-04:00Simulating network delay on OSXAs of Mac OSX Yosemite, the tool to manipulate the networking stack changed from ipfw to pf.<br />
There are many guides out there on the internet for both ipfw and pf, but it took me a while to sort through which ones are still applicable. Also, the most common use case is bandwidth throttling (just like I wrote about <a href="http://blog.hartshorne.net/2015/05/bandwidth-throttling-in-freenas-for.html">when throttling my FreeNAS uploads</a>), but I was interested in doing some network testing.<br />
<br />
<b>Goal</b>: see how my client/server app behaved with a network delay of 500ms by inserting a delay between every packet.<br />
<b>Tools</b>:<br />
<ul>
<li>pfctl - the utility to manipulate the PF packet filter</li>
<li>dnctl - the utility to manipulate dummynet, the part that actually inserts delay</li>
</ul>
<b>Summary</b>:<br />
<dl>
<dt>enable pf</dt>
<dd><code>pfctl -E</code></dd>
<dt>add a temporary extra ruleset (called "anchor") named "deeelay</dt>
<dd><code>(cat /etc/pf.conf && echo "dummynet-anchor \"deeelay\"" && echo "anchor \"deeelay\"") | sudo pfctl -f -</code></dd>
<dt>add a rule to the deeelay set to send any traffic to my app (running on port 8081) to dummynet pipe 1</dt>
<dd><code>echo "dummynet in quick proto tcp from any to any port 8081 pipe 1" | sudo pfctl -a deeelay -f -</code></dd>
<dt>Add a rule to dummynet pipe 1 to delay every packet by 500ms</dt>
<dd><code>sudo dnctl pipe 1 config delay 500</code></dd>
<dt>View your all PF rules</dt>
<dd><code>sudo pfctl -sa</code></dd>
<dt>View your PF dummynet anchors</dt>
<dd><code>sudo pfctl -sd</code></dd>
<dt>View the rules in your PF dummynet anchor</dt>
<dd><code>sudo pfctl -a "deeelay" -sd</code></dd>
<dt>View your dummynet pipe</dt>
<dd><code>sudo dnctl show</code></dd>
<dt>When you're done, reset everything to its default state</dt>
<dd><code>sudo pfctl -f /etc/pf.conf</code></dd>
</dl>
<b>View the results</b>:<br />
<br />
Use tshark (terminal) or wireshark (GUI) to view your traffic and verify that there is delay inserted into the conversation.<br />
Read the dnctl and pfctl man pages for more goodies. benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com2tag:blogger.com,1999:blog-2276603629708251265.post-21033175313101262512016-03-31T20:45:00.001-04:002016-03-31T20:45:20.678-04:00Log all mysql queriesFor the record, to log all mysql queries (as opposed to the slow query log, which only runs "slow" queries, even when you set the threshold to 0) on a running database (i.e. without a restart):<br />
<pre>mysql> set global general_log=1;
Query OK, 0 rows affected (0.02 sec)
mysql> select @@global.general_log;
+----------------------+
| @@global.general_log |
+----------------------+
| 1 |
+----------------------+
1 row in set (0.00 sec)
mysql> select @@global.general_log_file;
+--------------------------------+
| @@global.general_log_file |
+--------------------------------+
| /usr/local/var/mysql/peach.log |
+--------------------------------+
1 row in set (0.00 sec)
</pre>
then <code>tail -f /usr/local/var/mysql/peach.log</code> to get your stream of queries.benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-35584136974787120632016-03-23T19:57:00.000-04:002016-03-23T19:57:00.839-04:00Copying Playlists from iTunes to Plex Media Server on FreeNASI've managed to copy one playlist from iTunes to my Plex media server running on FreeNAS. It was an ordeal.<br />
<br />
For the next time I try, here are the juicy bits:<br />
<br />
<b>Prep the m3u file</b> <br />
<ul>
<li>iTunes -> File -> Library -> Export Playlist</li>
<ul>
<li>select 'm3u' as the file format</li>
</ul>
<li>open the playlist.m3u file and replace all ^Ms with real carriage returns</li>
<li>remove any files that have non-ascii characters (eg ü, ç, ñ, é, à, etc.) </li>
</ul>
<b>Get the Converter</b><br />
<ul>
<li>https://github.com/dakusan/PlexPlaylistImporter<b> </b> </li>
<li>The README says it requires python 3 but I got it to run with python 2.7.8 </li>
<li>I had to make some changes</li>
<ul>
<li>syntax error in print("...", end="")</li>
<li>munge path at line 104 to change the path necessary because of the chrooted plex jail</li>
<li>add some debugging print statements</li>
</ul>
</ul>
<b>Run the converter</b><br />
<ul>
<li>python imp.py ./playlists/playlist.m3u 90s "/mnt/bluepool/jails/plexmediaserver_1/var/db/plexdata/Plex\ Media\ Server/Plug-in\ Support/Databases/com.plexapp.plugins.library.db"<b> </b> </li>
</ul>
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com1tag:blogger.com,1999:blog-2276603629708251265.post-25026716739894472832016-03-17T19:35:00.004-04:002016-03-17T19:35:45.220-04:00Sublime Text CLI doesn't work after upgrading to El CapitanI suffered this problem on my new laptop: a staple of opening files in sublime from the command line stopped working:<br />
<span style="font-family: "courier new" , "courier" , monospace;">$ subl -n /tmp/foo.sh</span><br />
<br />
I tracked it down to a few things:<br />
<ul>
<li>it worked correctly in a new shell</li>
<li>it was only broken inside tmux</li>
</ul>
Searching yielded lots of half answers that were confusing about reattach-to-user-namespace. My solution:<br />
<ul>
<li>brew install reattach-to-user-namespace</li>
<li>alias subl='reattach-to-user-namespace subl'</li>
</ul>
Assuming you have your <a href="http://www.sublimetext.com/docs/3/osx_command_line.html">subl symlink set up</a> and in your path, these changes will make it work from within tmux.benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-64217362225495541132016-03-15T17:34:00.000-04:002016-03-15T17:34:55.328-04:00More reflections from a terraform n00bThere are many posts out there talking about how to use <a href="http://terraform.io/">Hashicorp's Terraform</a>, and a number of them describing some of the things people learned as they were just beginning to use the product. It's still early enough in its life cycle that these are useful. One came a few weeks ago from <a href="http://charity.wtf/2016/02/23/two-weeks-with-terraform/">Charity</a>, and I am adding the few things I've learned as an addendum to that.<br />
<br />
Once you have a functional Terraform environment, there are a few things that can help you level up your game. You start thinking about how to get something that can be safely modified by a larger team and how to use your revision control to safely make changes to your environment in a way that you can test.<br />
<br />
<b>Multiple State Files </b><br />
It is not at all uncommon to have multiple state files (aka multiple terraform ... I don't have a good word for it). This is even recommended by Hashicorp in some of their <a href="https://atlas.hashicorp.com/help/intro/use-cases/multiple-environments">Atlas documentation</a>. Common uses are<br />
<ul>
<li>multiple copies of your environment (eg production, staging, etc.)</li>
<li>federation of responsibility (each team manages their own service)</li>
<li>protection (you're not making changes to the terraform config for all resources when changing only some. This is especially true for qa/dev/prod or global config vs. specific service config). </li>
<li>refreshing large state files can have a significant performance impact, so splitting your installation into multiple states can be beneficial as your infrastructure grows.</li>
</ul>
<br />
<b>Reusing Modules</b><br />
Modules can be reused within a single .tf file. <b>The module "name" is the definition of the local instance of that module; the module source is what determines what module to use.</b> This was surprising to me because I thought module paralleled resource, where the first argument is the type of resource (the first argument would be the module name). This is not so - the only argument of module is more akin to the second argument to resource, giving it a local name. It's totally fine (and common) to say <span style="font-family: "courier new" , "courier" , monospace;">module "foo1" {source="./foo"}</span>, <span style="font-family: "courier new" , "courier" , monospace;">module "foo2" {source="./foo"}</span>, changing some other variable to make the two uses of the module different.<br />
<br />
<b>Promoting Changes using Modules</b> <br />
The module source can be a github repo for external modules (terraform get will download them) and they can also be github URLs at a specific revision (of your own or remote modules) to assert a specific version of a module. You can use multiple versions of the same module within one terraform instance, <b>allowing you to promote changes from dev to qa to prod within a single terraform state</b>. Note, of course, that doing this means that you have to run <span style="font-family: "courier new" , "courier" , monospace;">terraform get</span>
every time you update a module, whereas when using file paths to your
modules, they're just symlinks so all changes are immediate.<br />
<br />
For example, your dev environment can have <span style="font-family: "courier new" , "courier" , monospace;">source="github.com/...?ref=master"</span> while your staging and prod .tf files can use <span style="font-family: "courier new" , "courier" , monospace;">source="github.com/...?ref=abcd1234"</span> (or a git tag or branch) to avoid getting all the new changes until you're ready.<br />
<br />
<b>Overall Impression</b><br />
It's been lovely getting to play with all these AWS resources that I'm used to mucking with by hand in a structured, automatable way. Though there are some strange bits to the configuration files (you can nest quotes! it's weird.), you get used to them quickly enough. I will bet that this product goes through radical change over the next year or two (in a manner similar to how the Chef community grew a few years ago) and I look forward to seeing it (and helping it) mature.benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-70893861436511336442016-03-11T15:17:00.000-05:002016-03-11T15:17:11.144-05:00Using Google Docs as a Time TrackerI'm doing some consulting in between full time employment. It's been forever and a day since I did hourly work, so I briefly looked around to see what nice apps there were (either desktop or iOS) to help me track my hours for billing. Unsurprisingly, I was disappointed by what I found. They're all so complicated! I guess people that do this for real have multiple clients, multiple projects, want to interface with online billing systems, and so on. All I wanted was something quick to start work, stop work, and calculate the time spent.<br />
<br />
Google spreadsheets + forms to the rescue!<br />
<br />
I'm mostly putting this down just so I can remember it for the future. If it's useful to you, great! Please leave a comment. It's likely you'll have to modify it some for your own use. Enjoy! <br />
<br />
<b>Step 1: Set Up the Form</b><br />
<ul>
<li>New google sheet</li>
<li>Tools -> Create a Form</li>
<li>Only question: Start or Stop. Multiple Choice, start and stop as the options</li>
<ul>
<li>make the question required </li>
</ul>
<li>(If you have projects, add them as a second question)</li>
<li>Click the Preview button (an eye icon)</li>
<ul>
<li>Copy/paste the URL to a temporary spot for later</li>
</ul>
</ul>
<b>Step 2: Do Time Calculations</b><br />
Go back to the spreadsheet. You'll see a tab labeled "Form Responses 1" and one labeled "Sheet1"<br />
<ul>
<li>In the Sheet1 tab, label the first column Timestamp and the second Duration</li>
<li>In cell A2, put <span style="font-family: "courier new" , "courier" , monospace;">='Form Responses 1'!A2</span></li>
<li>In cell B2, put <span style="font-family: "courier new" , "courier" , monospace;">=if('Form Responses 1'!B2="Stop", 'Form Responses 1'!A2 - 'Form Responses 1'!A1, 0)</span></li>
<ul>
<li>This formula assumes you always alternate Start and Stop, and calculates the time between start and stop</li>
<li>If tracking multiple projects, instead of <span style="font-family: "courier new" , "courier" , monospace;">=if(B2="Stop",...</span> use <span style="font-family: "courier new" , "courier" , monospace;">=if(and(B2="Stop", C2="Proj1"),...</span> with one column for each project.</li>
</ul>
<li>Copy the formula down for the rest of each of columns A and B</li>
<li>Change column B to use Duration format: Format menu -> Number -> Duration</li>
</ul>
Make a summary tab for easy viewing<br />
<ul>
<li>Create a new tab, name it Summary</li>
<li>To get your total hours spent, use the formula <span style="font-family: "courier new" , "courier" , monospace;">=sum(Sheet1!B2:B30)</span> (changing 30 to the final row of your list of durations</li>
</ul>
<b>Step 3: Make it easy to use</b><br />
Load the form on your phone. Using the 'send' icon in Safari, choose 'Add to Homescreen'. From now on, when you start or stop work, tap the icon for the form on your phone, tap Start or Stop, and submit. Submission will record the timestamp in the form, to be calculated by your spreadsheet formulas.<br />
<br />
On your mac, open the AppleScript Editor. Create a new applescript with the contents:<br />
<blockquote class="tr_bq">
<span style="font-family: "courier new" , "courier" , monospace;">open location "https://docs.google.com/blah/blah/blah"</span></blockquote>
changing the docs.google.com URL to be the URL for the form. Save the applescript as an application and put it on your desktop. When you want to start or stop work on your mac, open the applescript (this will load the form in your default browser), check start or stop, and hit submit.<br />
<br />
For extra fun, use Karabiner to bind a key or keycombo such as F10 to open the applescript. In private.xml:<br />
<blockquote class="tr_bq">
<span style="font-family: "courier new" , "courier" , monospace;"><vkopenurldef><br /> <name>KeyCode::VK_OPEN_URL_HOURS_APPLESCRIPT</name><br /> <url>file:////Users/ben/Desktop/Hours.app </url><br /></vkopenurldef><br /><item><br /> <name>F10 to Hours</name><br /> <appendix>Launch hour tracker in default browser</appendix><br /> <identifier>private.f10_to_hours</identifier><br /> <autogen>__KeyToKey__<br /> KeyCode::F10,<br /> KeyCode::VK_OPEN_URL_HOURS_APPLESCRIPT<br /> </autogen><br /></item></span> </blockquote>
<b>Conditions and Use Instructions</b><br />
<ul>
<li>When you start, load the form and submit with "Start"</li>
<li>When you finish, load the form and submit with "Stop"</li>
<li>You must alternate Start and Stop. If you have two starts in a row or two stops in a row, it will break.</li>
<ul>
<li>If you have two Starts or Stops in a row, just delete one or insert a new row with the one that's missing.</li>
</ul>
<li>If you forget to Start or Stop, you can either ignore it and add a new row later, or add a new row immediately then go and change the Timestamp to be correct after the fact. </li>
</ul>
<br />
<br />benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-32574295615218512332016-03-08T15:07:00.002-05:002016-03-18T12:33:42.273-04:00Installing CrashPlan headless on a FreeNASThe real purpose of this post is to send google juice to the <a href="https://forums.freenas.org/index.php?threads/tested-crashplan-4-5-setup.41418/">forum post</a> that gives a working guide: https://forums.freenas.org/index.php?threads/tested-crashplan-4-5-setup.41418/. When I was searching for a guide yesterday, I got many postings from last year and before, none of which worked. This one does, though it does retain the extra-complicated bit of connecting to the server via an SSH tunnel instead of asking CrashPlan to just listen on all interfaces and connecting directly. I understand it's there because the conversation between the CP client and server is not encrypted, but honestly on my home network, I'm ok with that. My only suggestion is to give people the option, since asking CrashPlan to listen on all interfaces is way easy. (change the third field of /var/lib/.ui_info from 127.0.0.1 to 0.0.0.0).<br />
<br />
Thanks, Martin. Your guide was a huge help.<br />
<br />
[Addendum] In order to stop my laptop (which I am only using to connect to the CrashPlan instance on the NAS) from running CrashPlan, I needed to stop the CrashPlan service on my laptop and prevent it from starting again when restarting my laptop:
<pre>
sudo launchctl unload /Library/LaunchDaemons/com.crashplan.engine.plist
sudo launchctl disable system/com.crashplan.engine
</pre>benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-41464467424213782802015-05-02T20:10:00.002-04:002015-05-02T20:10:47.452-04:00Bandwidth throttling in FreeNAS for external trafficI have a FreeNAS box running in my home. It is the target for my laptop to backup, it has some files I share with Christy, it stores all my photos, and so on. All in all it's great.<br />
<br />
I recently set up the s3cmd plugin to back up stuff to S3. Despite having redundant disks it's always good to have a backup. It takes days to upload all my photos to S3 but that's fine - it doesn't impact regular use of the NAS.<br />
<br />
Unfortunately, the backup process saturates my home DSL upstream link. Nothing else in the house could do anything reasonable on the internet while the backup process was going - just surfing normal websites would time out. <br />
<br />
I wanted to limit the bandwidth the backups could consume to leave enough for the rest of the house. If this were a professional situation, I would suggest setting up QoS on the router so that it could use 100% of the link when nobody else was but when other traffic came through it would take second place. But this is my home, and I don't have a fancy router that can do QoS. Throttling on the NAS just makes sense.<br />
<br />
At the same time, I don't want to just throttle all traffic; I still want it to run full speed when I mount the NAS from my laptop on my local network. <br />
<br />
I don't have a lot of internet: 6Mb down, 1Mb up. I decided that I would let backups take 80% of the upstream bandwidth, since most things like browsing the internet and streaming movies send very little data - most of it is received.<br />
<br />
The FreeNAS folks argue that it's not a NAS's job to limit its bandwidth usage - it should focus on serving data as quickly as possible. (see https://bugs.freenas.org/issues/5666). While it's always their prerogative to decide what features go in to the product, to me that seems to ignore the large number of people that use it at home without things like fancy QoS enabled routers.<br />
<br />
Well, that's fine, because FreeNAS runs on FreeBSD, which means that it has ipfw and dummynet, top-of-the-line tools for doing bandwidth shaping. There are many guides out there on the net that can help you do fancy things with them.<br />
<br />
Steps I took to limit the upstream bandwidth my FreeNAS uses when interacting with the public net, while still allowing it to serve data full speed on my LAN:<br />
<br />
* Enable dummynet, the FreeBSD traffic shaping module:<br />
<blockquote class="tr_bq">
edit /boot/loader.conf and add 'dummynet_load="YES"' at the end of the file<br />run kldload dummynet to load the module</blockquote>
* Set up a pipe that restricts traffic to 800Kbps (80% of my 1Mb link)<br />
<blockquote class="tr_bq">
ipfw pipe 1 config bw 800Kbit/s </blockquote>
* Send outgoing traffic destined for anywhere other than the local network through the pipe<br />
<blockquote class="tr_bq">
ipfw add pipe 1 ip from 10.0.0.0/8 to not 10.0.0.0/8 out</blockquote>
That does it.<br />
<br />
A couple of notes.<br />
<ul>
<li>Most home networks are in the 192.168.0.0/24 range rather than the 10.0.0.0/8 range. Change that line to match your local network range. </li>
<li>Watching bandwidth usage in realtime helps you see what works and what doesn't. The systat view of bandwidth utilization was super helpful: systat -ifstat 1</li>
<li>It helps to have a load running as you're doing this - start a large upload then muck with these commands while watching systat </li>
<li>I haven't tried a reboot. I'm going to bet that this setting will not persist and I've got to do something else to make it stick.</li>
</ul>
<div class="separator" style="clear: both; text-align: center;">
<a href="http://4.bp.blogspot.com/-vfaj5KE8UvA/VUVnZLhWbkI/AAAAAAAABKU/1HHy0cbZ8LM/s1600/_PNG_Image__497%C2%A0%C3%97%C2%A0187_pixels_.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://4.bp.blogspot.com/-vfaj5KE8UvA/VUVnZLhWbkI/AAAAAAAABKU/1HHy0cbZ8LM/s1600/_PNG_Image__497%C2%A0%C3%97%C2%A0187_pixels_.png" height="118" width="320" /></a></div>
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com4tag:blogger.com,1999:blog-2276603629708251265.post-54283618667597509532015-03-10T20:43:00.000-04:002015-03-11T02:39:09.332-04:00Setting Nagios Downtime from a script<p>I don't know why I've never done this until now.</p>
<p>Create a script "nagios_downtime" or whathaveyou:</p>
<pre>
#!/bin/bash
# check for usage
if [ $# -ne 4 ]
then
echo "Usage: $0 <host> <service> <duration_in_sec> <message>"
echo "Example: nagios_downtime web3 check_http 3600 'downtime reason'"
echo "must run as nagios user"
exit 1
fi
# snarf arguments
host=$1
svc=$2
dur=$3
message=$4
# calculate timestamps for now + duration
start=$(date +%s)
end=$((start + dur))
# initiate downtime
echo "[${start}] SCHEDULE_SVC_DOWNTIME;${host};${svc};${start};${end};1;0;0;nagiosadmin;${message}" > /var/lib/nagios3/rw/nagios.cmd
# print saying you did it
echo "$(date): scheduling downtime for ${svc} on ${host} for ${dur} seconds"
</pre>
<p>then when you're taking an action (say a backup) and want to programmatically set downtime from within your backup script, just shell out to <code>sudo -u nagios nagios_downtime db5 check_mysql_replication 600 'downtime for backup'</code></p>
<p>For more information look at the <a href="http://nagios.sourceforge.net/docs/3_0/extcommands.html">Nagios External Command</a> documentation. Specifically, this script uses the command to <a href="http://old.nagios.org/developerinfo/externalcommands/commandinfo.php?command_id=119">schedule service downtime</a>.
<p>keywords: nagios service downtime command line</p>
<p>p.s. this is not a resilient script. It doesn't check any input. Don't run this behind xinetd and think you have an API for remotely setting downtime in nagios.</p>benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-66475855394571867042015-03-10T20:31:00.000-04:002015-03-10T20:31:16.176-04:00Removing Accidental Chef AttributesIf you've accidentally set attributes on a bunch of nodes in a way that breaks your system, you want to delete them. This can happen when you accidentally include a cookbook you didn't mean to and have some attributes set in the attributes/default.rb file.<br />
<br />
Here's how to fix it:<br />
<br />
<pre>for i in $(cat /tmp/hosts); do
echo -n "$i: "
knife exec -E "nodes.transform('name:$i') {|n| puts n.hostname ; n.normal_attrs['my_bad_attribute_name'].delete('self')}"
done
</pre>
<br />
Note: replace the nested array format with underscores. In other words <code>node['my']['bad']['attribute']['name']</code> becomes <code>my_bad_attribute_name</code>benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-52192659260941058212014-02-26T14:48:00.000-05:002014-02-26T14:48:07.210-05:00Ganglia Web UI Performance Improvement for Large ClustersThere are many transitions people tend to make over time as their <a href="http://ganglia.info/">Ganglia</a> cluster grows in order to maintain performance. Many of them have been covered in other blogs, but here is a brief summary of the scaling steps I usually take, from the initial cluster up through thousands of hosts and hundreds of thousands of metrics.<br />
<br />
All notes in this post apply to gmond and gmetad versions 3.5.0 and the ganglia-webfrontend version 3.3.5 <br />
<br />
The cluster starts out with gmond installed everywhere (configured for unicast) sending all data to the monitoring host (usually also running nagios). gmond listens there and collects all the metrics for my single cluster. gmetad runs there and writes this data to local disk.<br />
<br />
Soon I outgrow a single cluster and so spin up multiple gmond processes, each configured to listen on a separate port. gmetad lists each gmond as a separate data_source and I have multiple clusters in the web UI.<br />
<br />
Eventually the monitoring host becomes a bit overloaded and so ganglia (both gmetad and gmond) move to a separate host, leaving nagios and all the other cruft there to itself.<br />
<br />
The next step is moving the gmond collector processes to their own host. At this point I usually set up two gmond collector servers for redundancy. Each server has the same configuration - one gmond process per ganglia cluster, listening on a separate port. The ganglia web UI and gmetad live on the same server and both gmond collectors are listed on each data_source line. I also create two gmetad/webui hosts at this point, also for redundancy, both to preserve data if the disk dies on one but also to separate out the one nagios talks to from the one I use as the web UI. Distributing traffic in this way helps the web UI stay snappy for people while letting nagios hammer the other.<br />
<br />
As the grid grows and the number of metrics increase, local disk on the gmetad / webui host starts to fail to keep up. I think this is around 70k metrics, but it depends on your disk. The solution at this point is either to install rrdcached or switch to a ramdisk. rrdcached will get you a long ways, but I think over ~350k metrics, local disk can't even keep up with rrdcached's write load. There are undoubtedly knobs to tweak to push rrdcached much further, but just using a ramdisk works pretty well.<br />
<br />
All of these steps successfully scale the ganglia core very well. With redundant gmond processes, redundant gmetads, and some sort of ram buffer or disk for the RRDs, you can get up to ~300k metrics pretty easily.<br />
<br />
On to the meat of this post.<br />
<br />
Somewhere between 250k and 350k metrics, the ganglia web UI started to slow down dramatically. By the time we got to ~330k, it would take over 2 minutes to load the front page. gmetad claimed it was using ~130% CPU (over 100% because it's multithreaded and using multiple cores) but there was still plenty of CPU available. Because it was on a ramdisk, there was no iowait slowing everything down. It wasn't clear where the bottleneck was.<br />
<br />
Individual host pages would load relatively quickly (2-3s). Cluster views would load acceptably (~10s) but the front page and the Views page were unusable.<br />
<br />
<a href="http://vuksan.com/">Vladimir</a> suggested that even though there was CPU available, the sheer number of RRDs gmetad was managing was making it slow to respond to requests to its ports. He suggested running two gmetad processes, one configured to write out RRDs and the other available for the web UI.<br />
<br />
A brief interlude - gmetad has two duties: manage the RRDs and respond to queries about the current status of the grid, clusters, and individual hosts. It has two TCP ports it listens to, one that gives a dump of all current state and the other which provides an interactive port for querying about specific resources. The web UI queries gmetad for the current values of metrics and to determine which hosts are up. It then reads the RRDs for the up nodes and clusters to present to the end user.<br />
<br />
By separating the two duties gmetad performs into two separate processes, there is no longer contention between managing the files on disk and responding to the web ui. Making this separation dropped the time needed to load the front page from 2m45s to 0m02s.<br />
<br />
Here are the changes necessary to run two gmetad processes in this configuration.<br />
<ul>
<li>duplicate gmetad.conf (eg gmetad-norrds.conf) and make the following changes:</li>
<ul>
<li>use a new xml_port and interactive_port. I use 8661 and 8662 to mirror the defaults 8651 and 8652</li>
<li>specify a new rrd_rootdir. The dir must exist and be owned by the ganglia user (or whatever user runs gmetad) but it will remain empty. (this isn't strictly necessary but is a good protection against mistakes.)</li>
<li>add the option 'write_rrds off'</li>
</ul>
<li>duplicate the start script or use your config management to make sure two gmetad processes are running, one with each config file </li>
<li>edit /etc/ganglia-webfrontend/conf.php (or your local config file) and override the port used to talk to gmetad; specify 8661 instead of the default.</li>
</ul>
<br />
That's it! <br />
<br />
p.s. There are some claims that the current pre-release gmetad has many improvements in locking and how it hashes hosts, so the performance problems that leads to this solution may vanish with future releases.<br />
<br />benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com5tag:blogger.com,1999:blog-2276603629708251265.post-53760797559987917812014-02-04T00:15:00.001-05:002014-02-04T17:03:24.597-05:00Better Latency GraphsNearly all the systems I've worked with to graph metrics about a system focus on lines. If you want to know about the latency of your site, you often graph average, 50th percentile, and 90th percentile lines representing your load time. This gives you a good idea of what most people are experiencing.<br />
<br />
For example:<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="data:<;base64,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" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img alt="" border="0" src="data:<;base64,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" /></a></div>
<br />
50th percentile is the bottom most graph. It's perfectly flat, showing that half of your page load times are less than 0.15sec or so. The average and 90th% both have bumps at the same place, which means that 10% of your customers are having a significantly longer page load time (longer than ~0.4sec). Imagine instead the 90th% line was flat while the average still had bumps - that would mean that it was less than 10% of your page load times that were much higher. This is all good information, but it is still pretty sparse.<br />
<br />
I want to see a system that lets me graph a histogram of page load times for every time slice.<br />
<br />
Imagine two scenarios, one with a very simple page load profile. The following graph represents one time slice (say, a 60s window) of how many requests took how long.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="data:<;base64,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" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img alt="" border="0" src="data:<;base64,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" /></a></div>
<br />
Most requests take about 100ms. There's a long tail, but it's a pretty normal curve. This type of traffic is well represented by the avg/50th/90th type graph like above. <br />
<br />
Ok, now imagine a different type of page profile. One of the pages in your site loads pretty quickly, but there's a second page that's also frequently loaded that takes about 3x longer.<br />
<br />
Here's that site's load time profile:<br />
<br />
<img alt="" src="data:<;base64,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" /><br />
<br />
If you graph the average, 50th%, and 90th% of these requests, it's nearly indistinguishable from the previous graph, despite the two profiles being very different.<br />
<br />
I would like to see a framework for capturing this kind of difference. Instead of graphing each time slice like the graph above, showing count against latency in a 2d graph, instead give each count a color (from light to dark) and graph each time slice as a vertical bar, similar to the ganglia graph posted up top. The result might look something like these:<br />
<br />
<br />
<img alt="" src="data:<;base64,iVBORw0KGgoAAAANSUhEUgAAAG4AAADiCAIAAAAgS2UPAAAACXBIWXMAAAsTAAALEwEAmpwYAAA+SWlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4KPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iQWRvYmUgWE1QIENvcmUgNS41LWMwMjEgNzkuMTU0OTExLCAyMDEzLzEwLzI5LTExOjQ3OjE2ICAgICAgICAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4xLyIKICAgICAgICAgICAgeG1sbnM6cGhvdG9zaG9wPSJodHRwOi8vbnMuYWRvYmUuY29tL3Bob3Rvc2hvcC8xLjAvIgogICAgICAgICAgICB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIKICAgICAgICAgICAgeG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPHhtcDpDcmVhdG9yVG9vbD5BZG9iZSBQaG90b3Nob3AgQ0MgKE1hY2ludG9zaCk8L3htcDpDcmVhdG9yVG9vbD4KICAgICAgICAgPHhtcDpDcmVhdGVEYXRlPjIwMTQtMDItMDNUMjA6MzQ6NTItMDg6MDA8L3htcDpDcmVhdGVEYXRlPgogICAgICAgICA8eG1wOk1vZGlmeURhdGU+MjAxNC0wMi0wM1QyMTowODozNi0wODowMDwveG1wOk1vZGlmeURhdGU+CiAgICAgICAgIDx4bXA6TWV0YWRhdGFEYXRlPjIwMTQtMDItMDNUMjE6MDg6MzYtMDg6MDA8L3htcDpNZXRhZGF0YURhdGU+CiAgICAgICAgIDxkYzpmb3JtYXQ+aW1hZ2UvcG5nPC9kYzpmb3JtYXQ+CiAgICAgICAgIDxwaG90b3Nob3A6Q29sb3JNb2RlPjM8L3Bob3Rvc2hvcDpDb2xvck1vZGU+CiAgICAgICAgIDxwaG90b3Nob3A6VGV4dExheWVycz4KICAgICAgICAgICAgPHJkZjpCYWc+CiAgICAgICAgICAgICAgIDxyZGY6bGkgcmRmOnBhcnNlVHlwZT0iUmVzb3VyY2UiPgogICAgICAgICAgICAgICAgICA8cGhvdG9zaG9wOkxheWVyTmFtZT4wLjE8L3Bob3Rvc2hvcDpMYXllck5hbWU+CiAgICAgICAgICAgICAgICAgIDxwaG90b3Nob3A6TGF5ZXJUZXh0PjAuMTwvcGhvdG9zaG9wOkxheWVyVGV4dD4KICAgICAgICAgICAgICAgPC9yZGY6bGk+CiAgICAgICAgICAgICAgIDxyZGY6bGkgcmRmOnBhcnNlVHlwZT0iUmVzb3VyY2UiPgogICAgICAgICAgICAgICAgICA8cGhvdG9zaG9wOkxheWVyTmFtZT4wLjI8L3Bob3Rvc2hvcDpMYXllck5hbWU+CiAgICAgICAgICAgICAgICAgIDxwaG90b3Nob3A6TGF5ZXJUZXh0PjAuMjwvcGhvdG9zaG9wOkxheWVyVGV4dD4KICAgICAgICAgICAgICAgPC9yZGY6bGk+CiAgICAgICAgICAgICAgIDxyZGY6bGkgcmRmOnBhcnNlVHlwZT0iUmVzb3VyY2UiPgogICAgICAgICAgICAgICAgICA8cGhvdG9zaG9wOkxheWVyTmFtZT4wLjM8L3Bob3Rvc2hvcDpMYXllck5hbWU+CiAgICAgICAgICAgICAgICAgIDxwaG90b3Nob3A6TGF5ZXJUZXh0PjAuMzwvcGhvdG9zaG9wOkxheWVyVGV4dD4KICAgICAgICAgICAgICAgPC9yZGY6bGk+CiAgICAgICAgICAgICAgIDxyZGY6bGkgcmRmOnBhcnNlVHlwZT0iUmVzb3VyY2UiPgogICAgICAgICAgICAgICAgICA8cGhvdG9zaG9wOkxheWVyTmFtZT4wMzozMDwvcGhvdG9zaG9wOkxheWVyTmFtZT4KICAgICAgICAgICAgICAgICAgPHBob3Rvc2hvcDpMYXllclRleHQ+MDM6MzA8L3Bob3Rvc2hvcDpMYXllclRleHQ+CiAgICAgICAgICAgICAgIDwvcmRmOmxpPgogICAgICAgICAgICAgICA8cmRmOmxpIHJkZjpwYXJzZVR5cGU9IlJlc291cmNlIj4KICAgICAgICAgICAgICAgICAgPHBob3Rvc2hvcDpMYXllck5hbWU+MDM6NDA8L3Bob3Rvc2hvcDpMYXllck5hbWU+CiAgICAgICAgICAgICAgICAgIDxwaG90b3Nob3A6TGF5ZXJUZXh0PjAzOjQwPC9waG90b3Nob3A6TGF5ZXJUZXh0PgogICAgICAgICAgICAgICA8L3JkZjpsaT4KICAgICAgICAgICAgPC9yZGY6QmFnPgogICAgICAgICA8L3Bob3Rvc2hvcDpUZXh0TGF5ZXJzPgogICAgICAgICA8eG1wTU06SW5zdGFuY2VJRD54bXAuaWlkOmE5YjhlOWYzLTg4ZTEtNDFhMS05MzA2LThhNjUwNjQ4MGFjOTwveG1wTU06SW5zdGFuY2VJRD4KICAgICAgICAgPHhtcE1NOkRvY3VtZW50SUQ+eG1wLmRpZDowNDUwN2E1Ni03YzQ4LTQ1ZmEtOTYyZS1hZmNiZTY0OTBmMWE8L3htcE1NOkRvY3VtZW50SUQ+CiAgICAgICAgIDx4bXBNTTpPcmlnaW5hbERvY3VtZW50SUQ+eG1wLmRpZDowNDUwN2E1Ni03YzQ4LTQ1ZmEtOTYyZS1hZmNiZTY0OTBmMWE8L3htcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD4KICAgICAgICAgPHhtcE1NOkhpc3Rvcnk+CiAgICAgICAgICAgIDxyZGY6U2VxPgogICAgICAgICAgICAgICA8cmRmOmxpIHJkZjpwYXJzZVR5cGU9IlJlc291cmNlIj4KICAgICAgICAgICAgICAgICAgPHN0RXZ0OmFjdGlvbj5jcmVhdGVkPC9zdEV2dDphY3Rpb24+CiAgICAgICAgICAgICAgICAgIDxzdEV2dDppbnN0YW5jZUlEPnhtcC5paWQ6MDQ1MDdhNTYtN2M0OC00NWZhLTk2MmUtYWZjYmU2NDkwZjFhPC9zdEV2dDppbnN0YW5jZUlEPgogICAgICAgICAgICAgICAgICA8c3RFdnQ6d2hlbj4yMDE0LTAyLTAzVDIwOjM0OjUyLTA4OjAwPC9zdEV2dDp3aGVuPgogICAgICAgICAgICAgICAgICA8c3RFdnQ6c29mdHdhcmVBZ2VudD5BZG9iZSBQaG90b3Nob3AgQ0MgKE1hY2ludG9zaCk8L3N0RXZ0OnNvZnR3YXJlQWdlbnQ+CiAgICAgICAgICAgICAgIDwvcmRmOmxpPgogICAgICAgICAgICAgICA8cmRmOmxpIHJkZjpwYXJzZVR5cGU9IlJlc291cmNlIj4KICAgICAgICAgICAgICAgICAgPHN0RXZ0OmFjdGlvbj5zYXZlZDwvc3RFdnQ6YWN0aW9uPgogICAgICAgICAgICAgICAgICA8c3RFdnQ6aW5zdGFuY2VJRD54bXAuaWlkOmE5YjhlOWYzLTg4ZTEtNDFhMS05MzA2LThhNjUwNjQ4MGFjOTwvc3RFdnQ6aW5zdGFuY2VJRD4KICAgICAgICAgICAgICAgICAgPHN0RXZ0OndoZW4+MjAxNC0wMi0wM1QyMTowODozNi0wODowMDwvc3RFdnQ6d2hlbj4KICAgICAgICAgICAgICAgICAgPHN0RXZ0OnNvZnR3YXJlQWdlbnQ+QWRvYmUgUGhvdG9zaG9wIENDIChNYWNpbnRvc2gpPC9zdEV2dDpzb2Z0d2FyZUFnZW50PgogICAgICAgICAgICAgICAgICA8c3RFdnQ6Y2hhbmdlZD4vPC9zdEV2dDpjaGFuZ2VkPgogICAgICAgICAgICAgICA8L3JkZjpsaT4KICAgICAgICAgICAgPC9yZGY6U2VxPgogICAgICAgICA8L3htcE1NOkhpc3Rvcnk+CiAgICAgICAgIDx0aWZmOk9yaWVudGF0aW9uPjE8L3RpZmY6T3JpZW50YXRpb24+CiAgICAgICAgIDx0aWZmOlhSZXNvbHV0aW9uPjcyMDAwMC8xMDAwMDwvdGlmZjpYUmVzb2x1dGlvbj4KICAgICAgICAgPHRpZmY6WVJlc29sdXRpb24+NzIwMDAwLzEwMDAwPC90aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpSZXNvbHV0aW9uVW5pdD4yPC90aWZmOlJlc29sdXRpb25Vbml0PgogICAgICAgICA8ZXhpZjpDb2xvclNwYWNlPjY1NTM1PC9leGlmOkNvbG9yU3BhY2U+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj4xMTA8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+MjI2PC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgCjw/eHBhY2tldCBlbmQ9InciPz6BskXBAAAAIGNIUk0AAHolAACAgwAA+f8AAIDpAAB1MAAA6mAAADqYAAAXb5JfxUYAAAsDSURBVHja7F1fTFRnFj8yIHJRiugMq0vlYpm0Sq2jSftQlboiml03EUXnCdcHBTeaNJCCsnSztU2kJlDxgWF3JaYVfNglMeKDTXYR3aca2kRIhBXTtVIXsTKKFL1jlYHZh7sls9zfxU+GmcTt7/eExzv3z2/Oub855zvf980KhUIyLQxf7xUiDHGkYKYQP+1Pjo+Pkz56JakklaSSiJXsjD55QvrolaSSVJJKIlayk5ScTProlaSSVJJKIlaywyIbvZJUkkpSScRQdoKjo6SPXkkqSSWpJGIlO2PBIOmjV5JKUkkqCWY79EpSSZBKUvl/KDuJSUmkj15JKkklqSRIJakklQSpJJWkklQSpJJUkkoikiLbk8ePSR+9klSSSlJJxEp24hMSSB+9klSSSlJJxEp2Hj96RProlaSSVJJKIlayY9fJpr56wezERKBmBlCzpOS5VuMPqMo3LzXVaoT1QNgAnjQXXMgYGbEa51gen17JACeVpJKIpuzYyUtySkokWgQVBksEWhQO5mCJmmY1PkVLmY6pX8gw6JUMcFJJKokYyo4doESEkOzAFz8cMkpAeZH6MgkwXYF5USQfp1cywEklqSSiKTt2RbbAQ/CSnps6H1wbaRE8LXzxwyOh6M1RPudYUHXpBWvhjl7JACeVpJKIpuzYdbIlJmmR5EXjY2PAiAQK3gAcxoFpFVStsaBqe54jPp5eyQAnlaSSiKHswGxBbBoFHg0/UE2i5qUoHgmHceDIEtyRDgoU1CLrMI6IiOWc9EoGOKkklUQ0ZceuyAaHcRzxCYrpCqzRqXeyQTGxZiZ2GRQUKNwkYcnK6JUMcFJJKoloyk7k00XHlQUKthTAGp26EfanxTkcQMoCAZXHp1cywEklqSSiKTt2RTaYG0DAIRf1tmh13ZsVF6eYVmmoxBdELXPWGT70SgY4qfwJUXm0utqtZx2trg43Vh485Naz9hUX9/X1kTIl2TnX2nryRGOh13vyROOy5cu3FhSY9iWZS8oqyutqakXkz42Ndu/dKVKLp8rFK/XFD2AKBMUQ3ipUGDiMAxvhRobuT+WVn58/vzgj4w+HPxCRy19cnrDvP3Bgp9crIvPnp9H7lAL8YtsFl8upaZqI3PjX1+He+vabb4nIexXlpCwi2Vnp8dQerxORT2pqSZkSlRvyNw4O+gOBgIi8ku32+/2mzui6vrWgwLN61ZmWFlKmJDvrcnMvtl346PCHIpK/edP+ffu6rnS2/ePS5+fPi0jXlc5Cr/eZZxxTyw1Eefa/2Azj4OdBKRBsaIDjRaHxMUUhTZidOBWV2wsLu692n2lpKasoz8vLa/vb39MWLDAM41J7e9eVzj0lxe+WltL7bNPTUCg0vU8OXfsntMNBO/UfLupeqb5MxpPHAUWvhCt3WB2Q2Q4TxxdRdp4LdmkJVBj1rjM4kDJHeUs5+CZJUG6uU299cHBshwFOKkklEVvZgW3FNjMug6NBxde58fAh+MLR4AxspYPt2w/8fsWHSk4Bt/T90BB4TEsKRK9kgJNKUklEU3bg2L+d7OC2MSQmL6WlKb74Yd0EnnOOBgRqVpxDUbVg2SUtPZ1eyQAnlaSSiFh2jlZXnzzRuKekuLKqyrT4/f7fV1X1Xut9bdlrv3v/fV3Xp852oBoER4ciuUtYuBu+B3KYlLQFViPs1J6dONtqfDg8bDXCyrxVi/7HK8O7M861tv43l0pOzsrKKt5XcrHtwsdHjtD7lAIcdmdomlZZVVW0a5dn9aqLbRdImRKVdt0ZZpgrDt6SymfgZGOjiOza/RtSpiQ7G/I39l7rDe/OMAxD1/X29vaTJxprj9fl5ORMHDx09y7+clC+AbXIgYpsySnzrEZ/f7/VmOp0Wo3WBjOxW0kUNQrAxAY2UD9jBep1ubkD/f3h3Rn563/R0dHx2z17F2dk3L59u8HnC6BhLEJUujO+u3NHRAb6+83+yp1er6ZpJA4k9dPuzvjyr3+JWYCP3B9SDHDYiAEDPB6N06oHOLOdGGY76nhgIztwyAVq1FzU9AMVJgjHi5ARun/qQuC/13q+AnSgQFn0Y4IXjnsDd+iVLGeQSlJJxPDH0NEd26H9Zbc7EtmBugGLbFCg4A8sqIQBm+muVsDKWyK3eWOAk0pSScQ027Hbue3b69etxjtoym7WsmVW4+0bN1C67UKZNRiceQkJ1MCNb6xG9yqP1fh1Z5fV+D0q3C1ctJheyQAnlaSSiKHs2BXZIOD6oDCLSFkAegJgQdeRAG7+u1u3rEY43Q4qDDzSqjAi8u313md4pXXtjEAgcK619Z2169x6Fl1PNcBhd8bVq1fLS8sGUMJL2FIJuzNWrFjxxVdfelavIlnPQSXsztA0zYkGpIgZkx3NZu012Ct999+3ULoCBgJh7QuurfMUzcZZhF7o8JypzoVI9NIU87rFlgsprZ1BPHeAw+4MtmNMJ8BhdwZ7MRQx/QGJD365OcJ3pfPnGZG8KyHgu3LgmxvoSF3xtQiNjx4Mz5jsZL76Kv5yUKOLKyNDkSDYrbwUjRfBOTZwEGnp668rPhRccQR2xyVqHNthOYNUkkoilgp++XQztMNhHFgQi0MTNuGaVrDtEa6tA6UMCtS9OwOqWoT7r4P0SgY4qSSVRGQ5+HMBDoOITZ0KiglcJwBOp4GtaLBpDdYL4IpwMMW0WcA6GeXH3PiAAU4qSSURS9mBk2HEbnKl8oY542gN6DG0pFuSQ3WhtsdIIPHeb2oKI8/c+IBggJNKUknMsOwoTu39MbXQrcbRp6Agpj632G7DHyvS0lXXlYb1tJH791VUl17JACeVpJKIbrazENphr/QPaAE3+I6HUN9MwW42Efg4uiX4UFBgrUuE0CsZ4KSSVBLRlJ04hwP/B7JrKLWA/X+wyAYLevBIxYKYoCWkRcQYAdsu/GzJy0j0DHolA5xU/nQw/fYrgl5JKkklqSRIpT0afD63nlV58JA5P67y4CG3nrWvuNg6+bCnp8etZzX4fOY/rXPkY0Fl+FXNv3du397T0xN+jPUZFO81ErS3t9fV1BZ6vWdaWj779FMRWZK5pKyiHG5B0HyqaeJvOEceIzRzaD17NjtTP1RxMDtTbz17trmpqbmpKTtTz12zNvwwX329r74+O1Mv2bvX+qlQdGCe3zCM3DVrd2zbZhoHBwfNS5sHmH90d3dnZ+rZmbqvvj4UCpXs3Zu7Zq1hGBNH2mEmvXLSzPyiXbu2FxYuzshwuZymM1YePCQi+w8c2On1isj8+WliM59/xmFOb9c0zeVydl3pNN3t7TffEpH3KsrNA8xjmk81hW9KMMUOBlEM8ElX7ejoWLk8Z6C/v+bYsfB7nfQM6vc6s1jp8dQerxORT2pqReTU6dOnTp/u6+s709IyvU0Joig7S5cuNe/1Tw1/nLhX6zPEBq9ku0UkEAgMDvo35G8UEV3XtxYUeFavOtPSEh5YIlKw5dciUldT29HRMWmOfIyonHRVp9NpvVfrM6jfayTI37xJRD46/OFAf/+vtmzp6+tr8PkafL6JPUZ2FxXtLip6Z/362uN15je9IX9jenr6pDnyU1wifgZvd11u7sW2C+ZV31j5hvljIvxeRaTm2DHzm5+wh39q6nuNBHl5eWUV5XU1tXtKivM3bbp58+al9vauK517SorfLS2d+BZzcnLMfTLKS8tWejy6rrtcrvA58jFScMMwTKH01dd3d3fv2LYtO1P/+MgRwzAmJNJqD/9U6EUGK0PMdkglqSRIJal8EfGfAQB7XNcikZtAXQAAAABJRU5ErkJggg==" /><img alt="" src="data:<;base64,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" /><br />
<br />
These graphs make it easy to identify traffic patters, but more importantly, they allow you to easily detect changes in traffic patters much more easily than just an avegerage/50th/90th graph.<br />
<br />
Do any of you know how to make these using open source tools?<br />
<br />
[UPDATE] So far from twitter, two suggestions that I use R, one that I look at <a href="https://github.com/armon/statsite">statsite</a> (a fork of statsd which supports histograms, though it appears maybe statsd also supports histograms) and one expression of boredom, ennui, and Limn. I'm mostly ignoring the suggestions that I use R because it feels like they're about the same level of helpfulness as saying "you could use Python!" (though I know that's probably just because I don't know R). The statsd/statsite stuff looks interesting and bears further investigation. Last time I looked at statsd it couldn't do histograms. I'm pretty sure I won't find out anything about Limn until I go buy David some drinks.<br />
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-2610241192392430082013-10-24T16:08:00.000-04:002013-10-24T16:08:07.943-04:00Printing readable dates from the Nagios logJust because I always forget...<br />
<code>ben@nagios1:/var/log/nagios3$ grep 'mycheck-or-host' nagios.log |perl -pe 's/(\d+)/localtime($1)/e'</code><br />
The perl snippet will translate the epoch-style timestamp to one that is readable.benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-85788733731721103682013-09-24T16:55:00.000-04:002013-09-24T16:55:18.791-04:00git lesson of the day (courtesy of Brad)<h4>
git rebase, reflog, and force push - the nice way to deal with your own branches and keep a clean git history. </h4>
<b>Warning</b>: don't do this on branches that other people are working on - the force push does nasty things. In that case, it's better to coordinate, collect changes, make a new branch, whatever.
<br />
<br />
So you've been working on a branch (let's call it <code>ben.foo</code>) and you're ready to squash a bunch of commits and push it back up to master.<br />
* bring your checkout up to date by getting the heads of all branches
<br />
<pre>git fetch</pre>
* set your upstream to master
<br />
<pre>git branch --set-upstream ben.foo origin/master</pre>
* rebase all your changes that are different from master<br />
** this brings your branch up to date and puts all your branch's commits after the most recent commit to master
<br />
<pre>git rebase</pre>
* squash all your commits<br />
** this automatically chooses only the commits that don't exist in master
<br />
<pre>git rebase -i</pre>
* push them up, forcing your branch to remove your previous more verbose commits<br />
** the + sign before the branch name means force push only this branch - much safer than --force, which forces all branches
<br />
<pre>git push origin +ben.foo</pre>
Whee!! You're done!
<br />
<h4>
Let's do this another way.</h4>
We don't really care about master for most of this process - we're really just interested in squashing our own commits, then we can merge or do a PR or whatever like normal.<br />
<br />
* Look for the commit before the place we started our branch. I'll assume it's visually easy to find - often the last commit by someone else before a long string of my own commits. Note the commit ID of the not-my-branch commit:
<br />
<pre>git log</pre>
* Do an interactive git rebase from that commit on
<br />
<pre>git rebase -i abcd1234</pre>
* squash all but the first commit (or however you want to collapse your commit history)
<br />
<pre>2Gv}:s/^pick/squash/<ret>:wq</pre>
* push this up, using the same +branch force in the previous example, overwriting the remote repository's messy history
<br />
<pre>git push origin +ben.foo</pre>
Voila! Your commit history is now clean
<br />
<h4>
If you screw up any of these steps...</h4>
git reflog to the rescue.
<br />
<pre>git reflog ben.foo</pre>
This is a complete history of the changes you've made to the branch. Choose the commit ID you want to backtrack to (eg abcd1234) and run
<br />
<pre>git reset --hard abcd1234</pre>
Further Reading:<br />
* Two good posts about <a href="http://gitready.com/intermediate/2009/02/09/reflog-your-safety-net.html">git</a> <a href="http://alblue.bandlem.com/2011/05/git-tip-of-week-reflogs.html">reflog</a><br />
* Many thanks to <a href="https://twitter.com/bardbrad">Brad Kittenbrink</a> for going over this with me.
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-82902286331815149632013-07-29T18:50:00.000-04:002013-07-29T18:50:46.558-04:00Using attributes that might not exist in ChefIn <span class="highlightNode">chef</span>, when testing a nested
attribute that might not exist, you can use rescue as a modifier to an
if statement. For example, assuming that only some of your nodes have
node['foo']['bar']['baz'] defined:
<code>
<br /> </code><br />
<code>if node['foo']['bar']['baz']<br /> do the stuff I want<br /> end rescue NoMethodError
</code>
<br />
<br />
will avoid the <span class="highlightNode">chef</span>
run bailing with the dreaded "undefined method `[]' for nil:NilClass"
error. Of course, if there are any legit method errors within your if
block, you've just caught an exception you shouldn't, but that's another
story.<br />
<br />
I use this in cookbooks that have extra functionality if some other cookbook happens to be installed. For example, the apache cookbook doesn't depend on ganglia, but if ganglia's installed, I want it to report metrics.<br />
<br />
<code>
if node[:ganglia][:grid_name]<br /> include_recipe "ganglia::default"<br /> ganglia_python "apache" do<br /> action :enable<br /> end<br />end rescue NoMethodError</code><br />
If the node doesn't have ganglia isntalled, it just goes on its merry way. #winbenhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-7406595074613810002013-03-28T13:35:00.003-04:002013-03-28T13:35:57.712-04:00Capistrano, nohup, and sleep<p>So a bunch of the random things that I deploy are not well-behaved services with init scripts and reload targets but random bits like a sinatra app or a hipchat bot. Being internal tools that are pretty stable, the easiest way to deploy these is to just nohup and background the command rather than setting everything up under monit or runit or something like that.<br />
<script src="https://gist.github.com/maplebed/5265210.js"></script></p>
<p>You'll see a number of posts talking about capistrano hanging when trying to use nohup (<a href="http://stackoverflow.com/questions/1109274/starting-background-tasks-with-capistrano">stackoverflow</a>) but redirecting both stdout and stderr to /dev/null solves that one. </p>
<p>The problem I ran across is that the nohup would not actually succeed in launching the process. With my new favorite diagnostic tool <code>watch -n 0.1 --differences 'ps auwwxf | grep -A3 -B3 ubuntu</code> (aka refresh all the processes running as the ubuntu user every 1/10th second), I saw that the nohup appear and disappear but the process it was trying to launch never stuck around.</p>
<p>I believe what's actually happening is that capistrano is closing the ssh connection it used to launch the nohup process before nohup succeeds in detaching the process. Closing the ssh shell than kills the nohup process before it finishes detaching its child, so the child dies too.</p>
<p>The solution is simple; give nohup a little more time to finish detaching its child before closing the ssh connection by appnding <code>sleep 2</code> to the line:<br />
<script src="https://gist.github.com/maplebed/5265223.js"></script>
</p>benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com3tag:blogger.com,1999:blog-2276603629708251265.post-65380914767765828092012-10-21T21:55:00.000-04:002012-10-21T21:57:21.977-04:00Converting old MS Word 5.1 documents to a current format<p>Today I had to help rescue some old files. I had a bunch of Microsoft Word docs spanning 1997 to 2012. Word for Mac 2011 can't open documents created by MS Word 5.1 (the version that created the docs from 1997 through 2001), however Word for Mac 2004 can. I copied all the documents over to Christy's laptop (that has Word for Mac 2004) to open the old doc, then 'Save As...' to create the newer versioned document so that Word for Mac 2011 could open them. Search the web, I found this handy applescript from a post by 'etna' on <a href="https://discussions.apple.com/thread/3603832">discussions.apple.com</a>. Reposting here so I can find it again if I need it.</p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana;"><strong>set</strong> <span style="color: #539103;">inputfolder</span> <strong>to</strong> (<span style="color: #2120bd;"><strong>choose folder</strong></span>) <strong>as</strong> <span style="color: #2f10fe;"><em>text</em></span></p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana;"><strong>set</strong> <span style="color: #539103;">destFolder</span> <strong>to</strong> (<span style="color: #2120bd;"><strong>choose folder</strong></span>) <strong>as</strong> <span style="color: #2f10fe;"><em>text</em></span></p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana; color: #2120bd;"><span style="color: #000000;"><strong>set</strong> </span><span style="color: #539103;">theFiles</span><span style="color: #000000;"> <strong>to</strong> </span><strong>list folder</strong><span style="color: #000000;"> </span><span style="color: #539103;">inputfolder</span><span style="color: #000000;"> <strong>without</strong> </span>invisibles</p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana; color: #2f10fe;"><strong>activate</strong><span style="color: #000000;"> </span><em>application</em><span style="color: #000000;"> "Microsoft Word"</span></p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana;"><strong>repeat</strong> <strong>with</strong> <span style="color: #539103;">x</span> <strong>from</strong> 1 <strong>to</strong> <span style="color: #2f10fe;"><strong>count</strong></span> <strong>of</strong> <span style="color: #539103;">theFiles</span></p>
<p style="margin: 0.0px 0.0px 0.0px 78.5px; text-indent: -78.6px; font: 12.0px Verdana; color: #539103;"><span style="color: #000000;"> <strong>set</strong> </span>thefile<span style="color: #000000;"> <strong>to</strong> </span><span style="color: #2f10fe;"><em>item</em></span><span style="color: #000000;"> </span>x<span style="color: #000000;"> <strong>of</strong> </span>theFiles</p>
<p style="margin: 0.0px 0.0px 0.0px 78.5px; text-indent: -78.6px; font: 12.0px Verdana; color: #539103;"><span style="color: #000000;"> <strong>set</strong> </span>inputfile<span style="color: #000000;"> <strong>to</strong> (</span>inputfolder<span style="color: #000000;"> & </span>thefile<span style="color: #000000;">)</span></p>
<p style="margin: 0.0px 0.0px 0.0px 78.5px; text-indent: -78.6px; font: 12.0px Verdana;"> <strong>tell</strong> <span style="color: #2f10fe;"><em>application</em></span> "Microsoft Word"</p>
<p style="margin: 0.0px 0.0px 0.0px 117.8px; text-indent: -57.8px; font: 12.0px Verdana; color: #539103;"><span style="color: #000000;"> </span><span style="color: #2f10fe;"><strong>open</strong></span><span style="color: #000000;"> </span><span style="color: #2f10fe;"><em>file</em></span><span style="color: #000000;"> </span>inputfile</p>
<p style="margin: 0.0px 0.0px 0.0px 117.8px; text-indent: -57.8px; font: 12.0px Verdana; color: #2f10fe;"><span style="color: #000000;"> </span><strong>save as</strong><span style="color: #000000;"> </span><em>document</em><span style="color: #000000;"> 1 </span>file name<span style="color: #000000;"> (</span><span style="color: #539103;">destFolder</span><span style="color: #000000;"> & </span><span style="color: #539103;">thefile</span><span style="color: #000000;"> & ".doc")</span></p>
<p style="margin: 0.0px 0.0px 0.0px 117.8px; text-indent: -57.8px; font: 12.0px Verdana; color: #2f10fe;"><span style="color: #000000;"> </span><strong>close</strong><span style="color: #000000;"> </span><em>document</em><span style="color: #000000;"> 1 </span>saving<span style="color: #000000;"> </span><span style="color: #5d2b91;">no</span></p>
<p style="margin: 0.0px 0.0px 0.0px 78.5px; text-indent: -78.6px; font: 12.0px Verdana;"> <strong>end</strong> <strong>tell</strong></p>
<p style="margin: 0.0px 0.0px 0.0px 39.2px; text-indent: -39.3px; font: 12.0px Verdana;"><strong>end</strong> <strong>repeat</strong></p>
benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-47063708237411072262011-06-30T11:34:00.002-04:002011-06-30T11:43:34.960-04:00Why I'm running ethernet in my homeWireless:<br /><br /><pre><br />64 bytes from 128.32.136.9: icmp_seq=30 ttl=51 time=86.784 ms<br />64 bytes from 128.32.136.9: icmp_seq=31 ttl=51 time=115.341 ms<br />64 bytes from 128.32.136.9: icmp_seq=32 ttl=51 time=104.645 ms<br />64 bytes from 128.32.136.9: icmp_seq=33 ttl=51 time=81.736 ms<br />64 bytes from 128.32.136.9: icmp_seq=34 ttl=51 time=90.551 ms<br />64 bytes from 128.32.136.9: icmp_seq=35 ttl=51 time=71.943 ms<br />64 bytes from 128.32.136.9: icmp_seq=36 ttl=51 time=32.487 ms<br />64 bytes from 128.32.136.9: icmp_seq=37 ttl=51 time=76.986 ms<br /></pre><br /><br />Ethernet:<br /><br /><pre><br />64 bytes from 128.32.136.9: icmp_seq=146 ttl=51 time=18.077 ms<br />64 bytes from 128.32.136.9: icmp_seq=147 ttl=51 time=21.553 ms<br />64 bytes from 128.32.136.9: icmp_seq=148 ttl=51 time=18.745 ms<br />64 bytes from 128.32.136.9: icmp_seq=149 ttl=51 time=18.092 ms<br />64 bytes from 128.32.136.9: icmp_seq=150 ttl=51 time=18.556 ms<br />64 bytes from 128.32.136.9: icmp_seq=151 ttl=51 time=18.921 ms<br />64 bytes from 128.32.136.9: icmp_seq=152 ttl=51 time=18.135 ms<br />64 bytes from 128.32.136.9: icmp_seq=153 ttl=51 time=18.109 ms<br /></pre><br /><br /><br />(ok, there are other reasons; gigabit wirespeed instead of the 50Mbps common on wireless networks (I didn't actually measure mine). Finally, my printer has ethernet but no wireless; by running cable to it and the WAP, I can print from anywhere in the house! :) Really, though, the latency and consistency are what I appreciate.)benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com3tag:blogger.com,1999:blog-2276603629708251265.post-43019911575167909962011-05-20T10:45:00.002-04:002011-05-20T11:24:50.920-04:00Letter to AC Transit's Talking BusesHi,<br /><br />I understand you're piloting a program to have the buses make more announcements along their route. I would like to offer feedback and my opinion of the system.<br /><br />I have only been riding the transbay buses recently, and I can understand that the use case for a transbay commuter bus is different than a local bus. Take my comments with the appropriate context, and understand that they are specifically geared towards the transbay bus experience.<br /><br />First, constructive feedback:<br />* the announcements are too loud. The transbay bus in the morning is a quiet and relaxing experience. One of the great benefits over riding bart is that serenity. The announcements are loud and jarring, especially in a bus filled with half-awake and silent people.<br />* the announcements are inappropriate for the physical bus and pattern of activity. Nobody gets off this bus except when it arrives in San Francisco. Despite the fact that nobody is getting off, the bus tells us all to use the rear doors repeatedly. It doesn't even time the announcement adjacent to when we are arriving at a stop - we'll be driving along the freeway and be told to exit through the rear doors. That just doesn't make any sense at all. To top it off, the bus doesn't even have rear doors! We all exit through the front door when we arrive in San Francisco.<br />* the announcements are too frequent. By the time we arrive in san francisco, every passenger has heard the same announcement multiple times. I can understand that in an environment where people are boarding and disembarking on a continual basis, frequent repetitions of the message make sense. That is not the pattern of use on the transbay buses.<br /><br />Second, my opinion:<br />These messages are annoying and unnecessary. We live in a world where we're constantly being told "it's not safe" and "be careful, coffee is actually hot." Airports and BART stations are already inundated with mindless notifications about how cameras are not a guarantee against criminal activity, about how everybody's out to get us and we must be constantly vigilant; do we really need to hear this while we're on buses as well? Can we not restrict the drone of noise that nobody listens to anyways to places of transit instead of the vehicles themselves? Can you imagine boarding an airplane, only to be told every 10 minutes throughout your flight that your seat cushion can be used as a floatation device, and tampering with the smoke detectors is punishable by law? It would drive even the most dedicated travelers to insanity. <br /><br />I applaud the sound systems in modern buses and trains that clearly announce the intersections or stations as they arrive. It is a vast improvement over the crackly PA systems into which drivers used to mumble place names. I appreciate it as a local, and I'm sure that visitors do so ten times over. <br /><br />Playing an announcement asking passengers to exit through the rear doors when arriving at a stop with a crowded bus makes a lot of sense. Put systems in the bus to understand when it's full and when we are approaching a bus stop, and only play the announcements when appropriate. If the announcement only comes when it is appropriate, people may actually listen. <br /><br />But I beg you, for the sake of sanity and personal responsibility, please remove repeated announcements telling me to be aware of my surroundings and to be suspicious of my fellow passengers. We don't need even more fear mongering in our current society. <br /><br />Thank you for your time, and I hope you take my comments to heart. Though I'm sure a minority of passengers actually write you to give you their opinion, I can tell you that every time the announcements come on my ride in yesterday and today, I saw people wince, grimace, grumble, and express their exacerbation to their fellow passengers.<br /><br />-benbenhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com1tag:blogger.com,1999:blog-2276603629708251265.post-74697557506983564282011-04-13T12:54:00.001-04:002011-04-13T12:56:10.268-04:00Make the topic always visible in Linkinus Simplified styleEvery time I upgrade Linkinus, I lose the setting to make the topic of the channel always visible. In the Simplified style, it's not yet adjustable from within Linkinus.<br /><br />Edit ~/Library/Application Support/Linkinus 2/Styles/Simplified.lnk2Style/Contents/Resources/js/settings.js, set pin_topic to true, restart Linkinus.benhttp://www.blogger.com/profile/18412613940094299832noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-77095247362996684402010-05-02T12:07:00.003-04:002010-05-02T12:32:55.687-04:00Officially In ShapeAfter yesterday's outing, I think I need to declare myself officially in shape. I rode my bicycle up to the Little Farm in Tilden Park, then ran out the fire road into Wildcat, with a small figure eight through the Tilden Nature Area.<br />
<ul><li>Total distance: 14.2 miles</li>
<li>Clock time: 2:20</li>
<li>Moving time: 1:56 (I was distracted by some mayday dancers)</li>
<li>Bike ride up to the Little Farm: 2.45 miles in 18 minutes</li>
<li>Run: 7.5 miles in 72 minutes</li>
<li>Bike ride back home: 4.25 miles in 26 minutes (I took a different route, going by the merry go round)</li>
<li>Total elevation gain: 1762 feet</li>
</ul><br />
Wildlife seen:<br />
<ul><li>Wild turkey</li>
<li>Maypole dancers</li>
<li>Bunny rabbit</li>
<li>Bird Photographer</li>
<li>Squirrel</li>
</ul><div class="separator" style="text-align: right"><a href="http://4.bp.blogspot.com/_rKQcn0U2OS4/S92n_7wxUpI/AAAAAAAAAYU/qSReAaBrXzI/s1600/May+1st+Bike+and+Run+Elevation.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="http://4.bp.blogspot.com/_rKQcn0U2OS4/S92n_7wxUpI/AAAAAAAAAYU/qSReAaBrXzI/s320/May+1st+Bike+and+Run+Elevation.png" /></a></div>Whee!<br />
<br />
<div class="separator" style="clear: both; text-align: center;"><a href="http://1.bp.blogspot.com/_rKQcn0U2OS4/S92iEEw17WI/AAAAAAAAAYM/w0H9sLj9sF0/s1600/May+1st+Bike+and+Run.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://1.bp.blogspot.com/_rKQcn0U2OS4/S92iEEw17WI/AAAAAAAAAYM/w0H9sLj9sF0/s320/May+1st+Bike+and+Run.png" /></a></div><br />
(track comes from a Garmin Oregon 450. Image comes from Google Earth. Labels come from Jing. Obsessive behavior comes from Ben)-benhttp://www.blogger.com/profile/17063754901439103183noreply@blogger.com0tag:blogger.com,1999:blog-2276603629708251265.post-80651419290902979742010-03-13T12:23:00.003-05:002010-03-13T12:28:54.957-05:00Undiscovered Features - Nikon D300 setting b4I spent some time wandering through the menu on my Nikon D300 the other morning, and came across a feature I had missed or forgotten about when first exploring the camera. This camera and the control UI continue to impress me.<br />
<br />
The camera, like so many others, has 4 main modes:<br />
<ul><li>P - Programmed auto (fully automatic)</li>
<li>S - shutter priority</li>
<li>A - Aperature priority</li>
<li>M - Manual<a href="http://1.bp.blogspot.com/_rKQcn0U2OS4/S5vDW6y0fBI/AAAAAAAAAXk/DuNaOdnWk0w/s1600-h/2010-03-13_0748.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="200" src="http://1.bp.blogspot.com/_rKQcn0U2OS4/S5vDW6y0fBI/AAAAAAAAAXk/DuNaOdnWk0w/s200/2010-03-13_0748.png" width="200" /></a></li>
</ul>On the Nikon D50 (and many others) there is only a thumb dial on the back of the camera. Depending on whether you're in S or A mode, it controls the shutter speed or the aperture. The D300, on the other hand, has both a thumb dial on the back of the camera and a finger dial on the front.<br />
<br />
<div class="separator" style="clear: both; text-align: center;"><a href="http://2.bp.blogspot.com/_rKQcn0U2OS4/S5vEzbU7b-I/AAAAAAAAAXs/8_JsVYtGZcI/s1600-h/2010-03-13_0749.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="198" src="http://2.bp.blogspot.com/_rKQcn0U2OS4/S5vEzbU7b-I/AAAAAAAAAXs/8_JsVYtGZcI/s200/2010-03-13_0749.png" width="200" /></a></div>When in Manual (M) mode, the thumb dial controls the shutter speed and the finger dial controls the aperture. This makes sense; both controls are exposed. The little bit of genius that seems so obvious is that the assignment of shutter speed and aperture to each dial is consistent - when in A mode, the finger dial still controls the aperture (and the thumb dial does nothing) while in S mode the thumb dial controls the shutter speed (and the finger dial does nothing). This allows you to form a tight mental mapping of thumb=shutter, finger=aperture, and if you happen to be in the wrong mode, the wrong dial just won't work, providing additional feedback about the state of the camera. Genius.<br />
<br />
I nearly always stay in A mode, which means that I control the aperture and the camera will automatically adjust the shutter speed in order to maintain a correct exposure. When that exposure isn't correct I can under or over expose the picture by holding down the exposure compensation button (right next to the 'ON' text in the picture of the front) and spinning the thumb dial. This takes coordination, often requires looking at the body (instead of continuing to look through the viewfinder), and if I forget I've changed it, will adversely affect future shots. But it works. (The other method of adjusting the exposure is to use the AE-lock button on a darker part of the frame, then adjust the composition, but I find that's less predictable.)<br />
<br />
Enter the Custom Settings Menu item b4: "Easy Exposure Compensation".<br />
<br />
This control has three settings:<br />
<ul><li>On (Auto Reset)</li>
<li>On</li>
<li><b>Off (default)</b></li>
</ul>When you turn b4 to On or On (Auto Reset), it enables the other control in S and A modes. When in S mode, the thumb dial still controls the shutter speed, and if you change it the camera will automatically change the aperture in order to maintain correct exposure. However, if you adjust the aperture manually (still with the finger dial), it will have the same effect as the exposure compensation button - adjusting the aperture to under or over expose the picture.<br />
<br />
Even though you are in S or A mode, you are always able to control both the shutter speed and the aperture! If you adjust the 'right' one (shutter speed in S, aperture in A) it will keep the exposure level correct. If you adjust the other one (aperture in S, shutter in A), it will adjust the exposure under or over.<br />
<br />
Setting b4 to On has exactly the same effect as using the exposure compensation button. Using the On (Auto Reset) has one additional benefit - when you turn off the camera the exposure adjustment resets to normal. I have my camera set to On (Auto Reset).<br />
<br />
I am in love with how this makes the process of getting your exposure just right that much easier.<br />
<ol><li>Frame the picture, choose the right aperture for the desired depth of field</li>
<li>Take the picture, see that part of the subject is slightly over exposed</li>
<li>Increase the shutter speed two notches and take the same picture (yay! perfect!)</li>
<li>Turn off the camera and everything resets so your next picture isn't under exposed.</li>
</ol><br />
Brilliant!-benhttp://www.blogger.com/profile/17063754901439103183noreply@blogger.com1