I receive several errors when I attempt to install sbt on Ubuntu via aptitude with the instructions from the scala-sbt homepage: echo "deb https://dl.bintray.com/sbt/debian /" | sudo tee -a /etc/apt/sources.list.d/sbt.list sudo apt-get update sudo apt-get install sbt http://www.scala-sbt.org/0.13/tutorial/Installing-sbt-on-Linux.html First I get a package validation error and then a segmentation f
I have a list of lists. For example, [ [0,1,'f'], [4,2,'t'], [9,4,'afsd'] ] If I wanted to sort the outer list by the string field of the inner lists, how would you do that in python?
According to this Wikipedia entry: "Protocol Buffers is very similar to Facebook’s Thrift protocol, except it does not include a concrete RPC stack to use for defined services. Since Protocol Buffers was open sourced, a number of RPC stacks have emerged to fill this gap." However, there are no examples of RPC stacks cited. Can anyone suggest a Java-based implementation of an RPC stack?
I'm following the great spark tutorial so i'm trying at 46m:00s to load the README.md but fail to what i'm doing is this: $ sudo docker run -i -t -h sandbox sequenceiq/spark:1.1.0 /etc/bootstrap.sh -bash bash-4.1# cd /usr/local/spark-1.1.0-bin-hadoop2.4 bash-4.1# ls README.md README.md bash-4.1# ./bin/spark-shell scala> val f = sc.textFile("README.md") 14/12/04 12:11:14 INFO storage.MemoryStore: e
I have a certificate in der format, from it with this command I generate a public key: openssl x509 -inform der -in ejbcacert.cer -noout -pubkey > pub1key.pub Which results in this: -----BEGIN PUBLIC KEY----- MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQC7vbqajDw4o6gJy8UtmIbkcpnk O3Kwc4qsEnSZp/TR+fQi62F79RHWmwKOtFmwteURgLbj7D/WGuNLGOfa/2vse3G2 eHnHl5CB8ruRX9fBl/KgwCVr2JaEuUm66bBQeP5XeBotdR4cvX38uPYivCDdP
I am new to multithreading in python and trying to learn multithreading using threading module. I have made a very simple program of multi threading and i am having trouble understanding the threading.Thread.join method. Here is the source code of the program I have made import threading val = 0 def increment(): global val print "Inside increment" for x in range(100): val += 1 print "val is now {}
I was studying the python threading and came across join(). The author told that if thread is in daemon mode then i need to use join() so that thread can finish itself before main thread terminates. but I have also seen him using t.join() even though t was not daemon example code is this import threading import time import logging logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-10s
I'm trying to strip wrapping class or array text from CSV data saved via saveAsTextFile without having to a non-Spark post-processing step. I have some TSV data in big files, which I feed to an RDD. val testRdd = sc.textFile(_input).filter(!_.startsWith("unique_transaction_id")).map(x => x.toLowerCase).map(x => x.split('\t')).map(x => Test(x(0),x(1))) testRdd.saveAsTextFile("test") This saves the
I setup a hadoop cluster with two nodes hadoop01(master- 10.0.0.151) and hadoop02(slaves- 10.0.0.152) when a type start-dfs.sh and then visit website my_ip(just 10.0.0.151 above):50070. It's successful. But when i type start-yarn.sh then visit website my_ip:8088. It's failed. my yarn-site.xml: <configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </
Hi I'm new to Java and I would like to know what is the best choice to read a user Input in the console, as far as I know there are 3 ways to do it: Console console = System.console(); BufferedReader input = new BufferedReader(new InputStreamReader(System.in)); Scanner reader = new Scanner(System.in); Which one should I choose? Why that one and not the other ones?
I'm trying to read from a hdfs file line by line and then create a hdfs file and write to it line by line. The code that I use looks like this: Path FileToRead=new Path(inputPath); FileSystem hdfs = FileToRead.getFileSystem(new Configuration()); FSDataInputStream fis = hdfs.open(FileToRead); BufferedReader reader = new BufferedReader(new InputStreamReader(fis)); String line; line = reader.readLine
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