Bairen Yi byronyi

Government in the Ming Dynasty

During the 276 years of the Ming China's population doubled
Destructive domestic warfare was largely avoided
Great achievements education and philosophy, literature and art, reflected the high cultural level of the elite gentry society
Did not attempt a continuation of the Song but tried in theory to go back to the models of Han and Tang

Manchu tribes, one of the descendants of Jurchen
Manchuria in the 16th century had been brought under Chinese type of intensive agriculture only in the southernmost region
The Ming had recognized the frontier nature of this region by organizing it in the military districts rather than under a civil administration only
In their rise to power the Manchus took full advantage of their strategic position on a frontier where they could learn Chinese ways and yet not be entirely subjected to Chinese rule

The Manchu Conquest

	docker run -d --name namenode -h namenode -p 50070:50070 -v `pwd`/conf:/conf --publish-service=namenode.hadoop hadoop/namenode

	docker run -d --name resourcemanager -h resourcemanager -p 8088:8088 -v `pwd`/conf:/conf --publish-service=resourcemanager.hadoop hadoop/resourcemanager

	docker run -d -v `pwd`/conf:/conf --publish-service datanode1.hadoop hadoop/datanode

	docker run -d -v `pwd`/conf:/conf --publish-service nodemanager1.hadoop hadoop/nodemanager

	docker run -d -v `pwd`/hadoop:/hadoop -e "HADOOP_HOME=/hadoop" -v `pwd`/java:/java -e "JAVA_HOME=/java" -v `pwd`/conf:/conf -e "HADOOP_CONF_DIR=/conf" --name=name-node -h name-node -p 50070:50070 ubuntu bash -c "/hadoop/bin/hdfs namenode -format && /hadoop/bin/hdfs namenode"

	docker run -d -v `pwd`/hadoop:/hadoop -e "HADOOP_HOME=/hadoop" -v `pwd`/java:/java -e "JAVA_HOME=/java" -v `pwd`/conf:/conf -e "HADOOP_CONF_DIR=/conf" --link name-node ubuntu bash -c "/hadoop/bin/hdfs datanode"

	docker run -d -v `pwd`/hadoop:/hadoop -e "HADOOP_HOME=/hadoop" -v `pwd`/java:/java -e "JAVA_HOME=/java" -v `pwd`/conf:/conf -e "HADOOP_CONF_DIR=/conf" --name=resource-manager -h resource-manager -p 8088:8088 ubuntu bash -c "/hadoop/bin/yarn resourcemanager"

	docker run -d -v `pwd`/hadoop:/hadoop -e "HADOOP_HOME=/hadoop" -v `pwd`/java:/java -e "JAVA_HOME=/java" -v `pwd`/conf:/conf -e "HADOOP_CONF_DIR=/conf" --link resource-manager --link name-node ubuntu bash -c "/hadoop/bin/yarn nodemanager"

	docker run --rm -it -v `pwd`/hadoop:/

	# -- mode: ruby --
	# vi: set ft=ruby :

	# All Vagrant configuration is done below. The "2" in Vagrant.configure
	# configures the configuration version (we support older styles for
	# backwards compatibility). Please don't change it unless you know what
	# you're doing.
	Vagrant.configure(2) do \|config\|
	# The most common configuration options are documented and commented below.
	# For a complete reference, please see the online documentation at

	import itertools
	from operator import itemgetter

	def iunzip(iterable):
	"""Iunzip is the same as zip(*iter) but returns iterators, instead of
	expand the iterator. Mostly used for large sequence"""

	_tmp, iterable = itertools.tee(iterable, 2)
	iters = itertools.tee(iterable, len(_tmp.next()))
	return (itertools.imap(itemgetter(i), it) for i, it in enumerate(iters))

	#!/usr/bin/env python
	from __future__ import division, print_function, unicode_literals

	import os
	from datetime import datetime
	from tempfile import mkdtemp

	import joblib
	import tempfile
	from joblib import Memory

	docker run --rm -it -v `pwd`/hadoop:/hadoop -e "HADOOP_HOME=/hadoop" -v `pwd`/java:/java -e "JAVA_HOME=/java" -v `pwd`/spark:/spark -e "SPARK_HOME=/spark" -v `pwd`/conf:/conf -e "HADOOP_CONF_DIR=/conf" --link resource-manager --link name-node ubuntu

	/spark/bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster --num-executors 3 --driver-memory 4g --executor-memory 2g --executor-cores 1 /spark/lib/spark-examples*.jar 10

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