official Https://github.com/sebastianbergmann/phpunit what do I need to change to download the package? such as channel------solutions----
5. How to use Pear offline installation under Linux PHPUnit
Introduction: How to use pear under Linux offline installation Phpunitlinux machine can not surf the Internet, local installation, using Pear install PHPUNIT.TAR,GZ installation error. The installation package is downloaded directly in the official Https://github.com/sebastianbergmann/phpunit what d
The environment is implemented under vmware7, and the operating system is fedora14 (Nima 12 and 13 have all tried it. Due to Yum source problems, some RPM packages are searched for by themselves, which cannot afford to hurt ..)
Talk less, work!
1. Ensure that your yum source is up-to-date and availableThis saves a lot of trouble. For example, Pax, patch, and Python-setuptools are all dependent on the cdh3 component.
2. Install JDK and JRE. But for non-rpm version does not recognize, when i
information to the central storage system. Kafka provides two consumer interfaces, one of which is low level. It maintains a connection to a broker and the connection is stateless, that is, every time pull data is obtained from the broker, the offset of the broker data must be told. The other is the high-level interface, which hides the details of the broker and allows the consumer to push data from the broker without worrying about the network topology. More importantly, for most log systems,
, this mechanism implements the simple Paxos protocol to ensure the consistency of distributed logs. There are two roles in the design: 1. the node where the JournalNode actually writes logs is responsible for storing logs to the underlying disk, which is equivalent to the acceptor in the paxos protocol. 2. QuorumJournalManager runs in NameNode. It is responsible for sending log write requests to all journalnodes and executing the write Fencing and log synchronization functions, which is equival
RHEL automatically installs the zookeeper shell script, rhelzookeeperRHEL automatically installs the zookeeper shell script
A: This script runs on Linux RHEL6.
B, C, D,...: The machine on which zookeeper cluster is to be installed, Linux RHEL6
First, you can log on to machine B, C, D, and ,... and then you can run the script on:
$ ./install_zookeeper
Prerequisites:
B, C, D machine must be configured with repo, this script uses cdh5 repo, the following content is saved to:/etc/yum. repos. d/
Recently, I joined Cloudera. Before that, I have been working in computational biology genomics for almost 10 years. My analysis is mainly based on the Python language and its great scientific computing stack. However, most ApacheHadoop ecosystems are implemented in Java and are also prepared for Java, which makes me very annoyed. So, my head
Recently, I joined Cloudera. Before that, I have been working in
If you are using Kafka to distribute messages, there may be exceptions or other errors in the process of data processing that can result in loss or inconsistency. This time you may want to Kafka the data through the new process, we know that Kafka by default will be saved on disk to 7 days of data, you just need to Kafka a topic of the consumer offset to a certain value or a minimum value, You can get the consumer to start spending from the point you set.Querying the range of topic offsetUse the
Download Mac driver and install: http://www.cloudera.com/downloads.html.html
The *host address is the machine IP where Impala daemon resides, and the port can be set in cmVi/usr/local/cellar/unixodbc/2.3.2_1/etc/odbc.ini
[ODBC Data Sources]Sample_Cloudera_Impala_DSN_64=Cloudera Impala ODBC Driver 64-bit[Sample_Cloudera_Impala_DSN_64]Driver=/opt/cloudera/impalaodbc/lib/universal/libclouderaimpalaodbc.dylibH
page opened for the link:Determine the proper shim for Hadoop distro and version probably means choosing the right package for the Hadoop version. One line above the table: Apache, Cloudera, Hortonworks, Intel, mapr refer to the issuer. Click on them to select the publisher of the Hadoop you want to connect to. Take Apache Hadoop for example:Version refers to the number of versions, shim refers to the name of the suite, download inside the included i
The snapshot function of hbase is quite useful. This article is translated from a blog of cloudera, hoping to learn about snapshot? If the translation is poor, please refer to the original article IntroductiontoApacheHBaseSnapshots? Comparison. Previously, only copyexport or disable can be used to back up or copy a table.
The snapshot function of hbase is quite useful. This article is translated from a blog of clo
1. impala architecture Impala is a real-time interactive SQL Big Data Query Tool developed by Cloudera inspired by Google's Dremel. Impala no longer uses slow Hive + MapReduce batch processing, instead, it uses a distributed query engine similar to that in a commercial parallel relational database, such as QueryPlanner, QueryCoordinator, and QueryExecEng.
1. impala architecture Impala is a real-time interactive SQL Big Data Query Tool developed by
Debug Resource AllocationThe Spark's user mailing list often appears "I have a 500-node cluster, why but my app only has two tasks at a time", and since spark controls the number of parameters used by the resource, these issues should not occur. But in this chapter, you will learn to squeeze out every resource of your cluster. The recommended configuration will vary depending on the cluster management system (yarn, Mesos, Spark Standalone), and we will focus on yarn as this
1. Overview
Flume is a high-performance, highly possible distributed log collection system for Cloudera company.
The core of Flume is to collect data from the data source and send it to the destination. In order to ensure that the transmission must be successful, before sending to the destination, will first cache the data, waiting for the data to really arrive at the destination, delete their own cached data.
The basic unit of the data transmitted by
In any industry there are some people who will use some shameful way to frame their competitors, SEO industry is the same. Some seoer tend not to use their mind to optimize the promotion of their own website, but always think of how to use some very means to frame the competitor's website. As a practitioner for many years of Seoer, today want to use A5 this platform to everyone to uncover some SEO industry some immoral people often use some of the sha
This document describes how to manually install the clouderaHivecdh4.2.0 cluster. For environment setup and Hadoop and HBase installation processes, see the previous article. Install hivehive on desktop1. Note that hive saves metadata using the derby database by default. Replace it with postgresql here. The following describes how to install postgresql and copy postg.
This document describes how to manually install the cloudera Hive cdh4.2.0 cluster.
cloudera open source by Flume's parent company. It is used to build and change the streaming handler for ETL (extract, transfer, load) based on Hadoop. (It is worth mentioning that Flume was donated by Cloudera to Apache, which was later constituted by Flume-ng). Morphline allows you to build ETL jobs without coding and requires a lot of mapreduce skills.Morphline is a rich profile that can easily define a
Build your own big data platform product based on Ambari
Currently, there are two mainstream enterprise-level Big Data Platform products on the market: CDH launched by Cloudera and HDP launched by Hortonworks, among them, HDP uses the open-source Ambari as a management and monitoring tool. CDH corresponds to Cloudera Manager, and there are also large data platforms dedicated by companies such as starring in
CDH: Full name Cloudera ' s distribution including Apache HadoopCDH version-derived Hadoop is an open source project, so many companies are commercializing this foundation, and Cloudera has made a corresponding change to Hadoop.Cloudera Company's release, we call this version CDH (Cloudera distribution Hadoop). So far, there are 5 versions of CDH, of which the f
Incremental index update into the new standard of text retrieval, spanner and F1 showed us the possibility of cross-datacenter database. In Google's second wave of technology, based on hive and Dremel, emerging big data companies Cloudera open source Big Data query Analysis engine Impala,hortonworks Open source Stinger,fackbook open source Presto. Similar to the PREGEL,UC Berkeley Amplab Lab, the Spark Graph Computing framework has been developed, an
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