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Download the High-imitation QQ source code (android front-end + JAVA background + spark
A openfire (XMPP + open source code );
B. android front-end source code (similar to QQ's high UI );
C java background source code (HTML5 on the UI );
Dspark (for windows );
Get: do not enjoy the income of labor
The system is mainly implemented as follows: JAVA background (
PHP environment configuration-download the Apache Server for windows and phpapache from the apache official website. PHP environment configuration-download the Apache Server for windows
PHP environment Configuration-download Apache server for Windows from Apache official website, Phpapache
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PHP environment configuration-download the Apache server for windows and phpapache from the apache Official Website
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The previous article "Apache Spark Learning: Deploying Spark to Hadoop 2.2.0" describes how to use MAVEN compilation to build spark jar packages that run directly on the Hadoop 2.2.0, and on this basis, Describes how to build an spark integrated development environment with
product analysis.
For more information about Webalizer and analog, see:Http://awstats.sourceforge.net/#COMPARISON AWStats installation memo
The AWStats running mode is as follows:
Log Analysis: after running, the log statistics are archived into an AWStats database (plain text;
Then there is the output in two forms:
One is through CGIProgramReads the output of the statistical result database;
One is to run the background script to export the output to a static fi
two interactive command lines for Python shell and Scala shell.You can download Apache Spark from here and choose the most recently precompiled version to be able to run the shell right away.Currently the latest version of the Apache Spark is 1.5.0, which is released on Sep
.
Spark compilation is still very simple. Most of the causes of all failures can be attributed to the failure to download the dependent jar package.
To enable spark 1.0 to support hadoop 2.4.0 and hive, use the following command to compile
SPARK_HADOOP_VERSION=2.4.0 SPARK_YARN=true SPARK_HIVE=true sbt/sbt assembly
If everything goes well, it will be generated u
installation is successful. As shown in the following:If you cannot display version information and you cannot enter Scala's interactive command line, there are usually two possibilities:-The path name of the Bin folder under the Scala installation directory is not added correctly in the path system variable, and is added as described in the JDK installation.-Scala does not install correctly, repeat the above steps.Three. Installation of SparkThe installation of
One, JDK installation 1, 1 download JDKYou first need to install the JDK, and configure the environment variables, if you have installed the old driver can be ignored. The JDK(full name is JAVATM Platform standard Edition development Kit) installation, to the Oracle website to download, is the Java SE Downloads.The two places marked in red are clickable, and you can see some more detailed information about
You are welcome to reprint it. Please indicate the source, huichiro.Summary
The previous blog shows how to modify the source code to view the call stack. Although it is also very practical, compilation is required for every modification, which takes a lot of time and is inefficient, it is also an invasive modification that is not elegant. This article describes how to use intellij idea to track and debug spark source code.Prerequisites
This document a
enter Scala's interactive command line, there are usually two possibilities:-The path name of the Bin folder under the Scala installation directory is not added correctly in the path system variable, and is added as described in the JDK installation.-Scala does not install correctly, repeat the above steps.Three. Installation of SparkThe installation of Spark is very simple and goes directly to download
You are welcome to reprint it. Please indicate the source, huichiro.Summary
There is nothing to say about source code compilation. For Java projects, as long as Maven or ant simple commands are clicked, they will be OK. However, when it comes to spark, it seems that things are not so simple. According to the spark officical document, there will always be compilation errors in one way or another, which is an
the worker , the JVM process does not exit until the results of the spark application calculation have finished returning. As shown in. In cluster mode, driver is initiated by the worker, and the client exits directly after confirming that the spark application is successfully submitted to cluster, and does not wait for the spark application run result to return
sure where the configuration settings come from, you can --verbose run spark-submit print out fine-grained debugging information by using the options.High-level dependency managementWhen used spark-submit , the --jars jar and any other jars of the application included with the options are automatically transferred to the cluster. The --jars URLs provided in the following must be separated by commas.The lis
From Pandas to Apache Spark ' s DataFrameAugust by Olivier Girardot Share article on Twitter Share article on LinkedIn Share article on Facebook
This was a cross-post from the blog of Olivier Girardot. Olivier is a software engineer and the co-founder of Lateral Thoughts, where he works on machine learning, Big Data, and D Evops Solutions.
With the introduction in Spark
1) Preparatory work1) Install JDK 6 or JDK 7 or JDK8 Mac's see http://docs.oracle.com/javase/8/docs/technotes/guides/install/mac_jdk.html2) Install Scala 2.10.x (note version) See http://www.cnblogs.com/xd502djj/p/6546514.html2) Download IntelliJ Idea's latest version (this article IntelliJ idea Community Edition 13.1.1 as an example, different versions, the interface layout may be different): http://www.jetbrains.com/idea/
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