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Install pandoc on Mac OS X 10.8

Install

Install haskell-platform

$ brew install haskell-platform
user www-data;
# As a thumb rule: One per CPU. If you are serving a large amount
# of static files, which requires blocking disk reads, you may want
# to increase this from the number of cpu_cores available on your
# system.
#
# The maximum number of connections for Nginx is calculated by:
# max_clients = worker_processes * worker_connections
worker_processes 1;
server {
listen 80 default; ## listen for ipv4; this line is default and implied
listen [::]:80 default ipv6only=on; ## listen for ipv6
# Make site accessible from http://localhost/
server_name localhost;
server_name_in_redirect off;
charset utf-8;
This gist includes components of a simple workflow application that created a directory and moves files within
hdfs to this directory;
Emails are sent out to notify designated users of success/failure of workflow. There is a prepare section,
to allow re-run of the action..the prepare essentially negates the move done by a potential prior run
of the action. Sample data is also included.
The sample application includes:
--------------------------------
1. Oozie actions: hdfs action and email action
2. Oozie workflow controls: start, end, and kill.
This gist includes components of a oozie workflow - scripts/code, sample data
and commands; Oozie actions covered: java mapreduce action; Oozie controls
covered: start, kill, end; The java program uses regex to parse the logs, and
also extracts the path of the mapper input directory path and includes in the
key emitted.
Note: The reducer can be specified as a combiner as well.
Usecase
-------
This gist includes components of a oozie, dataset availability initiated, coordinator job -
scripts/code, sample data and commands; Oozie actions covered: hdfs action, email action,
sqoop action (mysql database); Oozie controls covered: decision;
Usecase
-------
Pipe report data available in HDFS, to mysql database;
Pictorial overview of job:
--------------------------
This gist includes components of a simple workflow application (oozie 3.3.0) that
pipes data in a Hive table to mysql;
The sample application includes:
--------------------------------
1. Oozie actions: sqoop action
2. Oozie workflow controls: start, end, and kill.
3. Workflow components: job.properties and workflow.xml
4. Sample data
5. Prep tasks in Hive
This gist includes components of a oozie (trigger file initiated) coordinator job -
scripts/code, sample data and commands; Oozie actions covered: hdfs action, email action,
java main action, hive action; Oozie controls covered: decision, fork-join; The workflow
includes a sub-workflow that runs two hive actions concurrently. The hive table is
partitioned; Parsing uses hive-regex serde, and Java-regex. Also, the java mapper, gets
the input directory path and includes part of it in the key.
Usecase
-------
Parse Syslog generated log files to generate reports;
This gist includes components of a oozie (time initiated) coordinator application - scripts/code, sample data
and commands; Oozie actions covered: hdfs action, email action, java main action,
hive action; Oozie controls covered: decision, fork-join; The workflow includes a
sub-workflow that runs two hive actions concurrently. The hive table is partitioned;
Parsing uses hive-regex serde, and Java-regex. Also, the java mapper, gets the input
directory path and includes part of it in the key.
Usecase: Parse Syslog generated log files to generate reports;
Pictorial overview of job:
This gist includes oozie workflow components (streaming map reduce action) to execute
python mapper and reducer scripts to parse Syslog generated log files using regex;
Usecase: Count the number of occurances of processes that got logged, by month, and process.
Pictorial overview of workflow:
--------------------------------
http://hadooped.blogspot.com/2013/07/apache-oozie-part-5-oozie-workflow-with.html
Includes:
---------