= lines.flatmap {line = Line.split (" ") }/** * Step 4.2 on the basis of word splitting, count 1 for each word instance, i.e. word=> (word,1) tuple */ ValPairs = Words.map {word = + (Word,1) }/** * Step 4.3 counts The total number of occurrences of each word in the text based on each word instance count of 1 * / //Add value to the same key (including reduce at the local and reduce levels) Valwordcounts = Pairs.reducebykey (_+_)//Print resultsWordcounts.foreach (Wordnumberpair = println
Run the Hadoop fs-ls command to display local Directory issues Problem reason: The default path for HDFS is not specified in the Hadoop configuration file Solution: There are two ways 1. Access Hadoop fs-ls hdfs://192.168.1.1:9000/using HDFs full path 2. Modify the configuration file Vim/opt/cloudera/parcels/cdh-5.4.1-1.cdh5.4.1.p0.6/etc/hadoop/conf.empty/core-site.xml hdfs://192.168.1.1:9000Run the
When installing Cloudera CDH, it is required to install the NTP server to implement the time synchronization problem between different hosts. The following is a detailed introduction to the NTP installation process.First, the server-side configuration1, first install NTP server, installation of a lot of ways, you can choose Rpm,tar can also choose Yum Online installation. So what I'm choosing here is an onl
provides some features such as Hadoop io, compression, RPC communication, serialization, and The common component can use the Jni method to invoke the native library written by C + +, accelerate data compression, data validation, etc. HDFS uses streaming data access mechanism, can be used to store large files, HDFs cluster has two kinds of nodes, name node Namenode, Data node Datanode, the name node holds the image information of the file data block and the namespace of the entire file system i
Configuring Network namesthis page is for manual CDH installations only. Cloudera Manager users should disregard.IMPORTANT:CDH requires IPv4. IPV6 is not supported.tip:when Bonding, use the bond0 IP address as it represents all aggregated links.Configure Each host in the cluster as follows to ensure, all members can communicate with each other:
Set the hostname to a unique name (not localhost ).sudo hos
Installing mahout0.11.0
There are two ways to install, one is to download the installation directly, and the other is to compile the installation. Here is a way to use one.
wget http://www.eu.apache.org/dist/mahout/0.11.0/apache-mahout-distribution-0.11.0.tar.gz
TAR-XZVF Apache-mahout-distribution-0.10.1-src.tar.gz-c/opt/
cd/opt/apache-mahout-distribution-0.11.0
Configuration
To use Spark in mahout, you need to configure Mahout_home and Spark_home, as shown below, and you can modify it to yo
Tags: term value log direct local type site IMA releaseEnvironmental requirements:Java version 1.6 and aboveHadoop 1.x or 2.x version This example environment information:Linux Version:centos Release 6.8 (Final)Hadoop VERSION:HDP 2.4.0.0-169Java version:jre-1.8.0-openjdk.x86_64 Download Hpl/sql installation package: Http://www.hplsql.org/downloadUpload to Linux platform when download is completeUnzip the installation package and install to/OPT:TAR-ZVXF hplsql-0.3.31.tar.gz-c/optLn-s/opt/hplsql-0
Objective After installing CDH and Coudera Manager offline, all of your own apps are installed through Coudera Manager, including HDFs, hive, yarn, Spark, hbase, and so on, and the process is a twist, so don't complain and go straight to the subject.Describe In the installation of Spark node, through the Spark-shell start Spark, full of anticipation of the start Spark,but, came a thunderbolt, error, Error! The error message is as follows:18/06/11 17
Impala online documentation describes Impala ODBC interface installation and configurationhttp://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH5/latest/Impala/ Installing-and-using-impala/ciiu_impala_odbc.htmlImpala ODBC Driver:http://www.cloudera.com/content/support/en/downloads/connectors.htmlThis article explains in detail the installation and use of Impala ODBC in the CENTOS-6.5-X86_64 envi
amount of resources, and the same slot (such as Map slot) is homogeneous, that is, the same slot represents the same amount of resources. The administrator needs to configure a certain number of Map slots and Reduce slots for TaskTracker as needed to limit the number of Map tasks and Reduce tasks executed concurrently on each TaskTracker.The number of slots is configured in the mapred-site.xml on each TaskTracker, as shown in table 9-1.Table 9-1Set the number of slots
H
corresponding jar package as follows:
common.loader=${catalina.base}/lib,${catalina.base}/lib/*.jar,${catalina.home}/lib,${catalina.home}/lib/*.jar,${catalina.home}/../lib/*.jar,/home/cdh/hadoop-2.3.0-cdh5.1.2/share/hadoop/common/*.jar,/home/cdh/hadoop-2.3.0-cdh5.1.2/share/hadoop/common/lib/*.jar,/home/cdh/hadoop-2.3.0-cdh5.1.2/share/hadoop/hdfs/*.jar,/home/
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
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
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