pavlov99

./configure \
  --enable-perlinterp \
  --enable-pythoninterp \
  --enable-rubyinterp \
  --enable-luainterp \
  --enable-fail-if-missing \
  --enable-cscope \
  --enable-gui=auto \
  --enable-gtk2-check \
  --enable-gnome-check \

pavlov99

https://confluence.atlassian.com/display/JIRA/Logging+Work+on+an+Issue#LoggingWorkonanIssue-Loggingworkwhileresolvingorclosinganissue
https://confluence.atlassian.com/display/JIRAKB/Set+Remaining+Estimate+to+0+on+post+function

pavlov99

List of currenies is generated using python.

Dependencies
============

  pip install pycountry pytz requests

pavlov99

function deque_init(d) {d["+"] = d["-"] = 0}
function deque_is_empty(d) {return d["+"] == d["-"]}
function deque_push_back(d, val) {d[d["+"]++] = val}
function deque_push_front(d, val) {d[--d["-"]] = val}
function deque_back(d) {return d[d["+"] - 1]}
function deque_front(d) {return d[d["-"]]}
function deque_pop_back(d) {if(deque_is_empty(d)) {return NULL} else {i = --d["+"]; x = d[i]; delete d[i]; return x}} 
function deque_pop_front(d) {if(deque_is_empty(d)) {return NULL} else {i = d["-"]++; x = d[i]; delete d[i]; return x}} 
function deque_print(d){x="["; for (i=d["-"]; i<d["+"] - 1; i++) x = x d[i]", "; print x d[d["+"] - 1]"]; size: "d["+"] - d["-"] " [" d["-"] ", " d["+"] ")"}

pavlov99

OIFS=$IFS;
IFS=",";

# fill in your details here
dbname=DBNAME
user=USERNAME
pass=PASSWORD
host=HOSTNAME:PORT

# first get all collections in the database

pavlov99

The /user/ directory is owned by "hdfs" with 755 permissions. As a result only hdfs can write to that directory. Unlike unix/linux, hdfs is the superuser and not root. So you would need to do this:

sudo -u hdfs hadoop fs -mkdir /user/,,myfile,,
sudo -u hdfs hadoop fs -put myfile.txt /user/,,/,,

If you want to create a home directory for root so you can store files in his directory, do:

sudo -u hdfs hadoop fs -mkdir /user/root
sudo -u hdfs hadoop fs -chown root /user/root

pavlov99

class Graph[T] {
  type Vertex = T
  type GraphMap = Map[Vertex,List[Vertex]]
  var g:GraphMap = Map()

  def BFS(start: Vertex): List[List[Vertex]] = {

    def BFS0(elems: List[Vertex],visited: List[List[Vertex]]): List[List[Vertex]] = {
      val newNeighbors = elems.flatMap(g(_)).filterNot(visited.flatten.contains).distinct
      if (newNeighbors.isEmpty)

pavlov99

#!/bin/bash
FILENAME="/tmp/random-lines.$$.tmp"
NUMLINES=10000000
seq -f 'line %.0f' $NUMLINES > $FILENAME;

echo "10 random lines with nl:"
$(which time) -v nl -ba $filename | sort -r | sed 's/.*[0-9]\t//' | head > /dev/null

echo "10 random lines with shuf:"
$(which time) -v shuf $FILENAME -n10 | head > /dev/null

pavlov99

df1.unionAll(df2.select(fd1.columns.map(df1(_)): _*))

pavlov99

This gist consists of Spark presentation examples.