simple scope of the platform-dependent files added for the Windows platform looks like this:
Win32 {SOURCES + = Hello_win.cpp }
When you've created your project file, it's easy to build makefile, all you have to do is go to the project file you generated and type it in:
Makefile can be generated like this by a ". Pro" File:
Qmake-omakefile Hello.pro
For VisualStudio users, Qmake can also generate a ". DSP" file, for example:
Qmake-tvcapp-o HELLO.DSP Hello.pro
++++++++++++++++++++++++ A pro
engines than leading commercial data warehousing applications For open source projects, the best health metric is the size of its active developer community. As shown in Figure 3 below,Hive and Presto have the largest contributor base . (Spark SQL data is not there) In 2016, Cloudera, Hortonworks, Kognitio and Teradata were caught up in the benchmark battle that Tony Baer summed up, and it was shocking that the vendor-favored SQL engine defeated o
there)Source: Open Hub https://www.openhub.net/In 2016, Cloudera, Hortonworks, Kognitio and Teradata were caught up in the benchmark battle that Tony Baer summed up, and it was shocking that the vendor-favored SQL engine defeated other options in every study, This poses a question: does benchmarking make sense?Atscale two times a year benchmark testing is not unfounded. As a bi startup, Atscale sells software that connects the BI front-end and SQL ba
database.Sqoop is an open source software PRODUCT of Cloudera, Inc. software development for Sqoop have recently moved from Gith UB to the Apache Sqoop site.In Hadoop on Azure, Sqoop are deployed from the Hadoop Command Shell on the head node of the HDFS cluster. You use the Remote Desktop feature available in the Hadoop on Azure portal to access the head node of the cluster for this Deployment.GoalsIn thi
Recently, ClouderaSearch was launched. For me who used to search and use javasesolr, although it is not a new technology, I believe that in terms of application, for the industry, there is no doubt that it is a very exciting news. Think about it. ClouderaSearch with a complete set of solutions in hand is in hand. Now
Recently, Cloudera Search was launched. For me who used Lucene/Solr for information retrieval and use, although it is not a new technolo
latency of MapReduce.To achieve Impala and HBase integration, we can obtain the following benefits:
We can use familiar SQL statements. Like traditional relational databases, it is easy to provide SQL Design for complex queries and statistical analysis.
Impala query statistics and analysis is much faster than native MapReduce and Hive.
To integrate Impala with HBase, You need to map the RowKey and column of HBase to the Table field of Impala. Impala uses Hive Metastore to store metadata. Si
Tags: des style http io color ar OS spWhen it comes to Hadoop distributions, enterprises care about a number of things. among them are high performance, high availability, and API compatibility. mapR, a San Jose, Calif. -based start-up, is betting that specified ISES are less concerned with whether the distribution is purely open source or if it already des proprietary components. that's according to Jack Norris, MapR's vice president of marketing. he said MapR is the market leader in al
and how would you do t Hem now using Beeline. This article would give you a jumpstart migrating from the old CLI to Beeline.
What is the things you would want to does with a command line tool? Let's look at the example of most common things your may want to does with a command line tool and how can I do it using hi ve Beeline CLI. I'll use the Cloudera Quick start VM 5.4.x for executing commands and generate output for this article. If you is using
file formats, such as Parquent, are a good solution to existing bi-class data analysis scenarios In the future, new storage formats will be used to adapt to more scenarios, such as array storage to serve machine learning applications. Future HDFS will continue to expand support for emerging storage media and server architectures. The 2015 HBase released its 1.0 release, which also represented HBase's move towards stability. new hbase features include clearer interface definitions, multi-region
1. Local Operation error and solutionWhen you run the following command:./bin/spark-submit --class Org.apache.spark.examples.mllib.JavaALS --master local[*] /opt/cloudera/ Parcels/cdh-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-yarn/lib/spark-examples_2.10-1.0.0-cdh5.1.2.jar /user/data/ Netflix_rating 10/user/data/resultThe following error will appear:Exception in thread "main" Java.lang.RuntimeException:java.io.IOException:No FileSystem for Scheme:hdfs
Hue is an open-source ApacheHadoopUI system. It was first evolved from ClouderaDesktop and contributed to the open-source community by Cloudera. It is implemented based on the PythonWeb framework Django. By using Hue, we can interact with the Hadoop cluster on the Web Console of the browser to analyze and process data, such as operating data on HDFS and running Ma
Hue is an open-source Apache Hadoop UI system. It was first evolved from
Use Windows Azure VM to install and configure CDH to build a Hadoop Cluster
This document describes how to use Windows Azure virtual machines and NETWORKS to install CDH (Cloudera Distribution Including Apache Hadoop) to build a Hadoop cluster.
The project uses CDH (Cloudera Distribution Including Apache Hadoop) in the private cloud to build a Hadoop cluster for big data computing. As a loyal fan of Microso
-y Install NCYum-y Install Python-setuptools6.Create user# useradd Change Password# passwd Turn off SELinux# vi/etc/selinux/config (change SELinux to Disabled),7. Root user login, modify sudo permissions of the newly created userVisudoUnder Root all= (All)Add a row8. Reboot restartSecond, set up local Yum sourceSince we have downloaded the cm5.4 cdh5.4 rpm package, we can configure the local Yum source to save download timeUnzip the cm5.4 cdh5.4 package and place it under/var/www/html/Start the
ObjectiveTwo years of contact with Hadoop, during the period encountered a lot of problems, both classic Namenode and jobtracker memory overflow failure, also has HDFS storage small file problems, both task scheduling problems, There are also mapreduce performance issues. Some of these problems are the flaws of Hadoop itself (short board), and some are inappropriate to use.In the process of solving the problem, sometimes need to turn over the source code, sometimes to colleagues, netizens consul
Tags: HTTP Io OS ar use the for strong SP File
Due to the chaotic and changing versions of hadoop, the selection of hadoop versions has always worried many novice users. This article summarizes the evolution process of Apache hadoop and cloudera hadoop versions, and provides some suggestions for choosing the hadoop version.
1. Apache hadoop
1.1 Evolution of Apache
So far (December 23, 2012), the Apache hadoop version is divided into two generations. W
/etc/spark/conf/log4j.properties log4j.properties
Then copy the/etc/spark/conf directory below the classpath.txt,spark-defaults.conf,spark-env.sh three files to your own Spark conf directory, this example is/opt/spark/ Conf, the final/opt/spark/conf directory has 5 files:
To edit the Classpath.txt file, locate the spark-related jar package inside, there should be two:
/opt/cloudera/parcels/cdh-5.7.1-1.cdh5.7.1.p0.11/jars/spark-1.6.0-cdh5.7.1-yarn-shu
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.