designed to efficiently transfer bulk data for data transfer between Apache Hadoop and structured data repositories such as relational databases.
Flume: A distributed, reliable, and usable service for efficiently collecting, summarizing, and moving large volumes of log data
detailed code#!/usr/java/hadoop/envpythonFromoperatorimportitemgetterImportsysword2count={}Forlineinsys.stdin:Line=line.stripWord,count=line.splitTryCount=int (count)Word2count[word]=word2count.get (word,0) +countExceptvalueerror:Passsorted_word2count=sorted (word2count.items,key=itemgetter (0))Forword,countinsorted_word2count:print '%s\t%s '% (word,count)Test run Python to implement WordCount steps1) Install Python onlineIn a Linux environment, if P
First knowledge of HadoopPrefaceI had always wanted to learn big data technology in school, including Hadoop and machine learning, but ultimately it was because I was too lazy to stick with it for a long time, plus I was prepared for the offer, so the focus was on C + + (although C + + didn't learn much), Plan to have a spare time in the big three to learn slowly. Now internship, need this knowledge, this f
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Background
There are many databases running on the line, and a data warehouse for analyzing user behavior is needed in the background. The MySQL and Hadoop platforms are now popular.The question now is how to synchronize the online MySQL data in real time to Hadoop
Presentation
This step is simple, reading MySQL data, using highcharts tools such as various displays, you can also use crontab timed PHP script to send daily, weekly, etc.Subsequent updates
Recently see some information and other people communicate found that cleaning data this step without PHP, can focus on HQL implementation of cleaning logic, t
2014-12-12 14:30two-way multifunctional hall of Fit building, Tsinghua Universitythe whole lecture lasted about one hours, about two and a half hours before Doug cutting a total of about 7 ppt, after half an hour of interaction. Doug Cutting a total of about 7 Zhang Ppt,ppt there is no content, each PPT only a title, the text is a picture, the content is mainly about their own open source business, Lucene, Hadoop and so on. PPTOne: Means for Change:h
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Order
Import files to Hive
To import query results from other tables into a table
Dynamic partition Insertion
Inserting the value of an SQL statement into a table
Analog data File Download
Series Index
This article is copyright Mephisto and Blog Park is shared, welcome reprint, but must retain this paragraph statement, and give the original link, thank you for your cooperation.The article is written
The founder of Hadoop is Doug Cutting, and also the founder of the famous Java-based search engine library Apache Lucene. Hadoop was originally used for the famous open source search engine Apache Nutch, and Nutch itself is based on Lucene, and is also a sub-project of Lucene. So Hadoop is Java-based, soHadoop is written by Java .
Overview
Sqoop is a top-level Apache project used to transmit data in hadoop and relational databases. Through sqoop, we can easily import data from a relational database to HDFS, or export data from HDFS to a relational database.Sqoop architecture: the sqoop architecture is very simple. It integrates hive, hbase, and
database to run on Hadoop.Oracle offers a complete suite of solutions for big data devices and large database SQLOracle Big Data SQL products mean that administrators are not required to learn other query languages when dealing with information in a non-relational database or Hadoop, says Neil Mendelson, Oracle's head of analytics.We can use the Oracle SQL langu
server.
Allocate a region to the region server. It is responsible for load balancing of the region server. It discovers the invalid region server and re-allocates the region on it.
3) regionserver
The region server maintains the Region allocated to it by the master and processes IO requests to these region. The region server is responsible for splitting the region that becomes too large during running.
4) Client
Contains the interface for accessing hbase. The client maintains some caches t
background
Since the Hadoop project is mostly a larger project, we chose to use the build tool to build the Hadoop project, where we use Maven. Of course, you can also use the more popular building tools such as Gradle to build the process
Here's a summary of the process I used IntelliJ idea to develop the MAVEN project. Create maven Project
First create a new M
Hadoop for report data sources
In addition to traditional relational databases, the data source types supported by computing reports include TXT text, Excel, JSON, HTTP, Hadoop, and mongodb.
For Hadoop, you can directly access Hive or read
Microsoft Azure has started to support Hadoop, which may be good news for companies that need elastic big data operations. It is reported that Microsoft has recently provided a preview version of the Azure HDInsight (Hadoop on Azure) service, running on the Linux operating system. The Azure HDInsight on Linux service is also built on Hortonworks
41.86120170 2009-01-0100:00:00 194.63Unlike general report tools, the centralized computing report can directly access HDFS to read and compute data. The following is an implementation process.Copy related jar packagesHadoop Core packages and configuration packages, such as commons-configuration-1.6.jar, commons-lang-2.4.jar, hadoop-core-1.0.4.jar (Hadoop1.0.4),
ToolsExplain why you should install VMware Tools.VMware Tools is an enhanced tool that comes with VMware virtual machines, equivalent to the enhancements in VirtualBox (if used with the VirtualBox virtual machine), only VMware Tools is installed to enable file sharing between host and virtual machines. It also supports the function of free dragging and dragging.VMware
The data source types supported by the collection report, in addition to the traditional relational database, also support: txt text, Excel, JSON, HTTP, Hadoop, MongoDB, and so on.For Hadoop, the collection report provides direct access to hive, as well as reading data from HDFs to complete
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