# packages

pkgId: f759cbbb9ea6620421bbce3973e1dbefc336732f03576a954e94481dda13313f
name: hadoop-hive
arch: noarch
version: 0.7.1.2
epoch: 0
release: 1
summary: Hive is a data warehouse infrastructure built on top of Hadoop
url: http://hadoop.apache.org/hive/
rpm_license: Apache License v2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-hive-0.7.1.2-1.src.rpm
location_href: hive/hadoop-hive-0.7.1.2-1.noarch.rpm
checksum_type: sha256
description:
  Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language.


pkgId: e685f8a5752b145f8daf7830bd1753a052c920f6a704fe1d4dc3da6f6f4db003
name: hadoop-zookeeper
arch: src
version: 3.3.3.2
epoch: 0
release: 1
summary: A high-performance coordination service for distributed applications.
url: http://hadoop.apache.org/zookeeper/
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: zookeeper/hadoop-zookeeper-3.3.3.2-1.src.rpm
checksum_type: sha256
description:
  ZooKeeper is a centralized service for maintaining configuration information,
  naming, providing distributed synchronization, and providing group services.
  All of these kinds of services are used in some form or another by distributed
  applications. Each time they are implemented there is a lot of work that goes
  into fixing the bugs and race conditions that are inevitable. Because of the
  difficulty of implementing these kinds of services, applications initially
  usually skimp on them ,which make them brittle in the presence of change and
  difficult to manage. Even when done correctly, different implementations of these services lead to management complexity when the applications are deployed.


pkgId: 9b1285ca2517757a9f155618c4c93fec3f1717164577998329eb5007ae8e0332
name: oozie
arch: src
version: 2.3.2.2
epoch: 0
release: 1
summary: Oozie is a system that runs workflows of Hadoop jobs.
url: http://incubator.apache.org/oozie/
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: oozie/oozie-2.3.2.2-1.src.rpm
checksum_type: sha256
description:
   Oozie is a system that runs workflows of Hadoop jobs.
   Oozie workflows are actions arranged in a control dependency DAG (Direct
   Acyclic Graph).

   Oozie coordinator functionality allows to start workflows at regular
   frequencies and when data becomes available in HDFS.

   An Oozie workflow may contain the following types of actions nodes:
   map-reduce, map-reduce streaming, map-reduce pipes, pig, file-system,
   sub-workflows, java, hive, sqoop and ssh (deprecated).

   Flow control operations within the workflow can be done using decision,
   fork and join nodes. Cycles in workflows are not supported.

   Actions and decisions can be parameterized with job properties, actions
   output (i.e. Hadoop counters) and HDFS  file information (file exists,
   file size, etc). Formal parameters are expressed in the workflow definition
   as ${VAR} variables.

   A Workflow application is an HDFS directory that contains the workflow
   definition (an XML file), all the necessary files to run all the actions:
   JAR files for Map/Reduce jobs, shells for streaming Map/Reduce jobs, native
   libraries, Pig scripts, and other resource files.

   Running workflow jobs is done via command line tools, a WebServices API
   or a Java API.

   Monitoring the system and workflow jobs can be done via a web console, the
   command line tools, the WebServices API and the Java API.

   Oozie is a transactional system and it has built in automatic and manual
   retry capabilities.

   In case of workflow job failure, the workflow job can be rerun skipping
   previously completed actions, the workflow application can be patched before
   being rerun.


pkgId: 709677626d525cdcbc416c2974e31035ace8945ae93d435aa1e565bbffba76cd
name: oozie-client
arch: noarch
version: 2.3.2.2
epoch: 0
release: 1
summary: Client for Oozie Workflow Engine
url: http://incubator.apache.org/oozie/
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: oozie-2.3.2.2-1.src.rpm
location_href: oozie/oozie-client-2.3.2.2-1.noarch.rpm
checksum_type: sha256
description:
   Oozie client is a command line client utility that allows remote
   administration and monitoring of worflows. Using this client utility
   you can submit worflows, start/suspend/resume/kill workflows and
   find out their status at any instance. Apart from such operations,
   you can also change the status of the entire system, get vesion
   information. This client utility also allows you to validate
   any worflows before they are deployed to the Oozie server.


pkgId: 41dbfe4e9d567a85063129ea3068e4aa1e5fc5d99cd04fea77e733ffc5cfd320
name: hadoop-pig
arch: src
version: 0.9.1.2
epoch: 0
release: 1
summary: Pig is a platform for analyzing large data sets
url: http://hadoop.apache.org/pig/
rpm_license: Apache License v2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: pig/hadoop-pig-0.9.1.2-1.src.rpm
checksum_type: sha256
description:
  Pig is a platform for analyzing large data sets that consists of a high-level language
  for expressing data analysis programs, coupled with infrastructure for evaluating these
  programs. The salient property of Pig programs is that their structure is amenable
  to substantial parallelization, which in turns enables them to handle very large data sets.

  At the present time, Pig's infrastructure layer consists of a compiler that produces
  sequences of Map-Reduce programs, for which large-scale parallel implementations already
  exist (e.g., the Hadoop subproject). Pig's language layer currently consists of a textual
  language called Pig Latin, which has the following key properties:

  * Ease of programming
     It is trivial to achieve parallel execution of simple, "embarrassingly parallel" data
     analysis tasks. Complex tasks comprised of multiple interrelated data transformations
     are explicitly encoded as data flow sequences, making them easy to write, understand,
     and maintain.
  * Optimization opportunities
     The way in which tasks are encoded permits the system to optimize their execution
     automatically, allowing the user to focus on semantics rather than efficiency.
  * Extensibility
     Users can create their own functions to do special-purpose processing.


pkgId: ba94836973060556a478d04a7b86959b4159a2eba0a12ffe5d86916872161c40
name: mahout
arch: noarch
version: 0.5.2
epoch: 0
release: 1
summary: A set of Java libraries for scalable machine learning.
url: http://mahout.apache.org
rpm_license: ASL 2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: mahout-0.5.2-1.src.rpm
location_href: mahout/mahout-0.5.2-1.noarch.rpm
checksum_type: sha256
description:
  Mahout's goal is to build scalable machine learning libraries.
  With scalable we mean:

  Scalable to reasonably large data sets. Our core algorithms for clustering,
  classfication and batch based collaborative filtering are implemented on top of
  Apache Hadoop using the map/reduce paradigm. However we do not restrict
  contributions to Hadoop based implementations: Contributions that run on a
  single node or on a non-Hadoop cluster are welcome as well. The core libraries
  are highly optimized to allow for good performance also for non-distributed
  algorithms.
  Scalable to support your business case. Mahout is distributed under a
  commercially friendly Apache Software license.
  Scalable community. The goal of Mahout is to build a vibrant, responsive,
  diverse community to facilitate discussions not only on the project itself but
  also on potential use cases. Come to the mailing lists to find out more.


pkgId: 024f73d0a3667e727c3c9e57e5c0fbfbba18e299f029b906b7fc2b69676bfacc
name: whirr
arch: src
version: 0.5.0.2
epoch: 0
release: 1
summary: Scripts and libraries for running software services on cloud infrastructure.
url: http://incubator.apache.org/whirr
rpm_license: ASL 2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: whirr/whirr-0.5.0.2-1.src.rpm
checksum_type: sha256
description:
  Whirr provides

  * A cloud-neutral way to run services. You don't have to worry about the
    idiosyncrasies of each provider.
  * A common service API. The details of provisioning are particular to the
    service.
  * Smart defaults for services. You can get a properly configured system
    running quickly, while still being able to override settings as needed.


pkgId: 0dd15cefa51634a2d7ce9d906ba17be5a18ce0ce493497d9d8e6893f4bc64ed1
name: hadoop-hbase
arch: src
version: 0.90.4.2
epoch: 0
release: 1
url: http://hadoop.apache.org/hbase/
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: hbase/hadoop-hbase-0.90.4.2-1.src.rpm
checksum_type: sha256
summary:
  HBase is the Hadoop database. Use it when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware.

description:
  HBase is an open-source, distributed, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop. HBase includes:

      * Convenient base classes for backing Hadoop MapReduce jobs with HBase tables
      * Query predicate push down via server side scan and get filters
      * Optimizations for real time queries
      * A high performance Thrift gateway
      * A REST-ful Web service gateway that supports XML, Protobuf, and binary data encoding options
      * Cascading source and sink modules
      * Extensible jruby-based (JIRB) shell
      * Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX


pkgId: e784edf4f40a0b97077020feb0e8db9255d17b43a1f7f94b6ada895b8d40018c
name: hadoop-hbase-master
arch: noarch
version: 0.90.4.2
epoch: 0
release: 1
summary: The Hadoop HBase master Server.
url: http://hadoop.apache.org/hbase/
rpm_license: APL2
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-hbase-0.90.4.2-1.src.rpm
location_href: hbase/hadoop-hbase-master-0.90.4.2-1.noarch.rpm
checksum_type: sha256
description:
  HMaster is the "master server" for a HBase. There is only one HMaster for a single HBase deployment.


pkgId: 535b1066ef7c53896ee4f3354a944577f47605f05bd1863d4f3c0b26db6887e3
name: hadoop-hbase-regionserver
arch: noarch
version: 0.90.4.2
epoch: 0
release: 1
summary: The Hadoop HBase RegionServer server.
url: http://hadoop.apache.org/hbase/
rpm_license: APL2
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-hbase-0.90.4.2-1.src.rpm
location_href: hbase/hadoop-hbase-regionserver-0.90.4.2-1.noarch.rpm
checksum_type: sha256
description:
  HRegionServer makes a set of HRegions available to clients. It checks in with the HMaster. There are many HRegionServers in a single HBase deployment.


pkgId: faa08db826bea6ea1930fd88508f8ace9e867cbe485f4522b33846aac1e4f14a
name: hadoop-hbase-thrift
arch: noarch
version: 0.90.4.2
epoch: 0
release: 1
summary: The Hadoop HBase Thrift Interface
url: http://hadoop.apache.org/hbase/
rpm_license: APL2
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-hbase-0.90.4.2-1.src.rpm
location_href: hbase/hadoop-hbase-thrift-0.90.4.2-1.noarch.rpm
checksum_type: sha256
description:
  ThriftServer - this class starts up a Thrift server which implements the Hbase API specified in the Hbase.thrift IDL file.
  "Thrift is a software framework for scalable cross-language services development. It combines a powerful software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, and Ruby. Thrift was developed at Facebook, and we are now releasing it as open source." For additional information, see http://developers.facebook.com/thrift/. Facebook has announced their intent to migrate Thrift into Apache Incubator.


pkgId: dcca072d2205e20969288123042408bd88211a47249ca4c24fbb4008aec6bb9f
name: flume
arch: noarch
version: 0.9.3.2
epoch: 0
release: 1
url: http://incubator.apache.org/projects/flume.html
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: flume-0.9.3.2-1.src.rpm
location_href: flume/flume-0.9.3.2-1.noarch.rpm
checksum_type: sha256
summary:
  Flume is a reliable, scalable, and manageable distributed log collection application for collecting data such as logs and delivering it to data stores such as Hadoop's HDFS.

description:
  Flume is a reliable, scalable, and manageable distributed data collection application for collecting data such as logs and delivering it to data stores such as Hadoop's HDFS.  It can efficiently collect, aggregate, and move large amounts of log data.  It has a simple, but flexible, architecture based on streaming data flows.  It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms.  The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.


pkgId: bff7fb6443bd67f66daebf1de2cb4290af74402de69d70ee685cb46fb6d55fb8
name: flume-node
arch: noarch
version: 0.9.3.2
epoch: 0
release: 1
url: http://incubator.apache.org/projects/flume.html
rpm_license: APL2
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: flume-0.9.3.2-1.src.rpm
location_href: flume/flume-node-0.9.3.2-1.noarch.rpm
checksum_type: sha256
summary:
  The flume node daemon is a core element of flume's data path and is responsible for generating, processing, and delivering data.

description:
  Flume is a reliable, scalable, and manageable distributed data collection application for collecting data such as logs and delivering it to data stores such as Hadoop's HDFS.  It can efficiently collect, aggregate, and move large amounts of log data.  It has a simple, but flexible, architecture based on streaming data flows.  It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms.  The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.


pkgId: 36f4d3f53bdcec2fedfd18d3ccb9eba206203814340ec9a9401e6d45b73edc5c
name: hadoop-namenode
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: The Hadoop namenode manages the block locations of HDFS files
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-namenode-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The Hadoop Distributed Filesystem (HDFS) requires one unique server, the
  namenode, which manages the block locations of files on the filesystem.


pkgId: b4f60ad26cfeab1b9a444e5ef5c7de1c5f78b1c123e4af752905560ca5c726e7
name: hadoop
arch: src
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop is a software platform for processing vast amounts of data
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
location_href: hadoop/hadoop-0.20.205.0.2-1.src.rpm
checksum_type: sha256
description:
  Hadoop is a software platform that lets one easily write and
  run applications that process vast amounts of data.

  Here's what makes Hadoop especially useful:
  * Scalable: Hadoop can reliably store and process petabytes.
  * Economical: It distributes the data and processing across clusters
                of commonly available computers. These clusters can number
                into the thousands of nodes.
  * Efficient: By distributing the data, Hadoop can process it in parallel
               on the nodes where the data is located. This makes it
               extremely rapid.
  * Reliable: Hadoop automatically maintains multiple copies of data and
              automatically redeploys computing tasks based on failures.

  Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS).
  MapReduce divides applications into many small blocks of work. HDFS creates
  multiple replicas of data blocks for reliability, placing them on compute
  nodes around the cluster. MapReduce can then process the data where it is
  located.


pkgId: edbad86f4680904288268cba29eb5d8930abb1aa5b2968870b28f78fa71719c1
name: hadoop-secondarynamenode
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop Secondary namenode
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-secondarynamenode-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The Secondary Name Node periodically compacts the Name Node EditLog
  into a checkpoint.  This compaction ensures that Name Node restarts
  do not incur unnecessary downtime.


pkgId: 72081237e6e2bf5dd1756056a18a220d1d71b1ab35b05e98d5dc3030ddb84bd5
name: hadoop-sbin
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Binaries for secured Hadoop clusters
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-sbin-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  This package contains a setuid program, 'task-controller', which is used for
  launching MapReduce tasks in a secured MapReduce cluster. This program allows
  the tasks to run as the Unix user who submitted the job, rather than the
  Unix user running the MapReduce daemons.
  This package also contains 'jsvc', a daemon wrapper necessary to allow
  DataNodes to bind to a low (privileged) port and then drop root privileges
  before continuing operation.


pkgId: e99b35585f96f74487324d7aea3cd28a3410e04fd176406cdb5c8b1f37e6d3c1
name: hadoop-datanode
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop Data Node
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-datanode-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The Data Nodes in the Hadoop Cluster are responsible for serving up
  blocks of data over the network to Hadoop Distributed Filesystem
  (HDFS) clients.


pkgId: ce8568290b0cba7cb50ef787e03b21a5af74d7927caf8fb1744ea47a8530778b
name: hadoop-tasktracker
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop Task Tracker
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-tasktracker-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The tasktracker has a fixed number of work slots.  The jobtracker
  assigns MapReduce work to the tasktracker that is nearest the data
  with an available work slot.


pkgId: 919eb271673104ac556e0b13ef98eb40540957c36d7e9ac519ba2dc4e8d718ed
name: hadoop-fuse
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Mountable HDFS
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: Development/Libraries
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-fuse-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  These projects (enumerated below) allow HDFS to be mounted (on most flavors of Unix) as a standard file system using the mount command. Once mounted, the user can operate on an instance of hdfs using standard Unix utilities such as 'ls', 'cd', 'cp', 'mkdir', 'find', 'grep', or use standard Posix libraries like open, write, read, close from C, C++, Python, Ruby, Perl, Java, bash, etc.


pkgId: 3875d7f9cdc20496d0abeb06133fbb5923b8b2db5861fae6f51f8b209ee74f23
name: hadoop-jobtracker
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop Job Tracker
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-jobtracker-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The jobtracker is a central service which is responsible for managing
  the tasktracker services running on all nodes in a Hadoop Cluster.
  The jobtracker allocates work to the tasktracker nearest to the data
  with an available work slot.


pkgId: 7e9ba296741733922faf781094c821f72e971e61064df61028ae842bf8ee1336
name: hadoop-conf-pseudo
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Hadoop installation in pseudo-distributed mode
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-conf-pseudo-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  Installation of this RPM will setup your machine to run in pseudo-distributed mode
  where each Hadoop daemon runs in a separate Java process.


pkgId: 951a1249ef581cb29b6c5afbc6f96ac49612743bfa542b233b321b4f2dc20278
name: hadoop-debuginfo
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Debug information for package hadoop
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: Development/Debug
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-debuginfo-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  This package provides debug information for package hadoop.
  Debug information is useful when developing applications that use this
  package or when debugging this package.


pkgId: f2b7ee5e686482932adbf9884d0f0450101a041f8b2438629ce466771f04960e
name: hadoop-source
arch: x86_64
version: 0.20.205.0.2
epoch: 0
release: 1
summary: Source code for Hadoop
url: http://hadoop.apache.org/core/
rpm_license: Apache License v2.0
rpm_group: System/Daemons
rpm_buildhost: localhost.localdomain
rpm_sourcerpm: hadoop-0.20.205.0.2-1.src.rpm
location_href: hadoop/hadoop-source-0.20.205.0.2-1.x86_64.rpm
checksum_type: sha256
description:
  The Java source code for Hadoop and its contributed packages. This is handy when
  trying to debug programs that depend on Hadoop.


# provides

name:
  libtool(/mnt/jenkins/workspace/workspace/Bigtop-0.2.0-matrix/label/fedora15/build/hadoop/rpm/BUILDROOT/hadoop-0.20.205.0.2-1.x86_64/usr/lib/hadoop/lib/native/Linux-amd64-64/libhadoop.la)


