Allow .mp4 files to be streamable on simple Apache Webserver

Sourced from http://blog.servergrove.com/2012/04/18/configuring-your-apache-web-server-for-html5-video-formats/

To ensure that a simple Apache Webserver is able to stream video, ensure to add the following to the .htaccess file:

AddType video/ogg .ogv
AddType video/mp4 .mp4
AddType video/webm .webm

Uncompress file to HDFS without unzipping on local FS

Sourced from: http://bigdatanoob.blogspot.com/2011/07/copy-and-uncompress-file-to-hdfs.html


Quick and dirty method to be able to uncompress a large file directly into HDFS without having to uncompress locally:

Syntax:
       $ gunzip -c localfile.gz | hadoop fs -put - /user/user1/localfile


Explanation of options:
       gunzip -c  = The -c option causes the output of the gunzip operation to be written to the
       console.

       The '-' specified in the hadoop fs -put operation points the source file to be originated
       from the console.


So with this example:
       $ gunzip -c 3GB_json.gz | hadoop fs -put - /user/cloudera/3GB_json

The shell will run gunzip using the a compressed 3GB Json file (3GB_json.gz) sending its output to the console, which is then piped into the hadoop fs -put operation, which will then place the payload into the file /user/cloudera/3GB_json.

Quick and Dirty Web Service (to serve Parcels and Packages) from a Mac

The following command can be run from a Mac to allow service to run a simple Web server to allow connectivity to access the files located on /path/to/parcels.  Very useful for spinning up a quick CM/CDH repro cluster and needing to post a repo to host CM/CDH/Other parcels.  

$ cd /path/to/parcels; ifconfig | grep inet; sudo python -m SimpleHTTPServer 80

(Originally sourced from: http://lifehacker.com/start-a-simple-web-server-from-any-directory-on-your-ma-496425450, modified to fit this use-case)


The breakdown of the above command:
1) Change dir to the specified location to share/make available
2) Report all of the available network interfaces and display their IP address
3) Run the python package for SimpleHTTPServer on port 80.

Quickly update user password in an automated fashion

 Helpful when updating a user password in a script for small test clusters:

$  ssh remoteserver 'useradd newuser;  $PASSWD_COMMAND'

where $PASSWD_COMMAND  is one of the following:

    echo -e "newpassword\newpassword" | passwd newuser

    echo "newuser:newpassword" | chpasswd

    echo "newpassword" | passwd --stdin newuser

Install Mac OSX El Capitan to a USB stick via CLI

On the command line, copy and paste the following.  NOTE: Substitute the path of the actual USB stick in place of  /Volumes/:

sudo /Applications/Install\ OS\ X\ El\ Capitan.app/Contents/Resources/createinstallmedia --volume /Volumes/ --applicationpath /Applications/Install\ OS\ X\ El\ Capitan.app

Sourced from:
http://www.macworld.com/article/2981585/operating-systems/how-to-make-a-bootable-os-x-10-11-el-capitan-installer-drive.html

Install Cisco's Webex Plugin on the Opera Web Browser

Confirmed to install and run with the following versions of software:

• Opera Web Browser 39.0.2256.71
• Cisco Webex Extension Version 1.0.1 (Updated on 9/5/2014)

Dependencies:

• Opera needs to have the following extension installed to allow installation of Chrome plugins:
• CRX Extension Source Viewer  Version 1.3.1, Last updated on 8/31/2016

Per the Webex support document for installing the Webex Extension, the following link is used to install the Webex extension:

https://chrome.google.com/webstore/detail/cisco-webexextension/jlhmfgmfgeifomenelglieieghnjghma?hl=en&authuser=1


Installation Steps:

1. Install the CRX Extension Source Viewer in Opera
2. Navigate to the Cisco Webex Extension plugin install page
3. Click on the yellow CRX button  on the top of the Opera page 
4. Click on Install 
5. Opera will now navigate to the Opera Extensions page, and will prompt to install.   Click on the install button  and the Cisco Webex plugin should install.
6. Once completed, the Cisco Webex Extension should now appear in the Opera Extensions page:

Sort a group of log4j-based log files by timestamp

Assuming that each log file consists of complete timestamps on the beginning and end (i.e. it's not abruptly truncated), here's a quick command to list first and last timestamps of a set of log4j log files, sorted in ascending order by first timestamp:

$ (for i in *.log.out*; do echo -n $i'\t'$(sed '1p;$!d' $i | cut -d ' ' -f-2 | tr '\n' '\t')'\n'; done) | sort -k2

To sort by last timestamp on each file, change sort argument from -k2 to -k4

Example:

$ (for i in *.log.out*; do echo -n $i'\t'$(sed '1p;$!d' $i | cut -d ' ' -f-2 | tr '\n' '\t')'\n'; done) | sort -k2

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.30 2016-08-12 13:09:30,297 2016-08-12 13:53:27,785

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.29 2016-08-12 13:53:27,791 2016-08-12 16:02:24,046

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.28 2016-08-12 16:02:24,051 2016-08-12 16:13:18,553

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.27 2016-08-12 16:13:18,555 2016-08-12 16:40:21,115

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.26 2016-08-12 16:40:21,123 2016-08-12 17:26:27,145

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.25 2016-08-12 17:26:27,153 2016-08-12 17:27:35,976

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.24 2016-08-12 17:27:37,404 2016-08-12 17:56:26,459

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.23 2016-08-12 17:56:26,463 2016-08-12 18:25:09,816

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.22 2016-08-12 18:25:09,822 2016-08-12 19:10:34,036

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.21 2016-08-12 19:10:34,081 2016-08-12 19:44:30,899

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.20 2016-08-12 19:44:30,996 2016-08-12 20:01:21,222

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.19 2016-08-12 20:01:21,363 2016-08-12 21:23:20,933

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.18 2016-08-12 21:23:21,183 2016-08-12 23:14:29,238

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.17 2016-08-12 23:14:29,429 2016-08-13 00:47:05,370

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.16 2016-08-13 00:47:05,376 2016-08-13 01:01:45,803

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.15 2016-08-13 01:01:45,808 2016-08-13 02:23:24,499

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.14 2016-08-13 02:23:24,499 2016-08-13 09:41:18,893

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.13 2016-08-13 09:41:18,898 2016-08-13 11:05:50,145

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.12 2016-08-13 11:05:50,149 2016-08-13 11:58:56,914

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.11 2016-08-13 11:58:56,919 2016-08-13 13:58:17,794

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.10 2016-08-13 13:58:17,800 2016-08-13 15:55:48,996

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.9 2016-08-13 15:55:49,001 2016-08-13 17:05:04,935

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.8 2016-08-13 17:05:04,939 2016-08-13 17:58:42,547

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.7 2016-08-13 17:58:42,552 2016-08-13 18:13:34,622

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.6 2016-08-13 18:13:34,627 2016-08-13 19:41:18,039

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.5 2016-08-13 19:41:18,045 2016-08-13 21:13:34,207

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.4 2016-08-13 21:13:34,209 2016-08-13 23:13:13,734

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.3 2016-08-13 23:13:13,737 2016-08-14 00:04:13,013

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.2 2016-08-14 00:04:13,017 2016-08-14 00:58:07,933

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out.1 2016-08-14 00:58:07,937 2016-08-14 01:43:06,945

hadoop-cmf-hdfs2-NAMENODE-namenode01.company.com.log.out 2016-08-14 01:43:07,107 2016-08-14 01:56:02,070