Interchange Perl DBI MySQL

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  ciphersaber
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  courier
  courier-authlib
  dbix-easy-perl
  debaux
  interchange
  interchange-doc
  jfsutils
  libmime-lite-html-perl
  libtext-mediawikiformat-perl
  libtie-shadowhash-perl
  pure-ftpd
  pure-ftpd
  safe-hole-perl
  set-crontab-perl

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Suchergebnisse für hbase

Entwicklerinformationen
hbase-bin | Commandline interface to HBase, a database for large data | Mehr ...
Commandline interface to HBase.
.
HBase is the Hadoop database. It hosts very large tables (think
petabytes) -- billions of rows X millions of columns -- atop clusters of
commodity hardware. It's modeled after Google's Bigtable.
.
* 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
* No HBase single point of failure
* Rolling restart for configuration changes and minor upgrades
* Random access performance on par with open source relational databases such
as MySQL
.
The Hbase shell has a run-time dependency on jruby. Jruby is in non-free, see
Debian Bug #551618. When this bug is resolved, jruby can be moved to free and
jruby becommes a dependency.
.
For your first steps with HBase you may install the package
hbase-regionmasterd additionally to this package.
hbase-daemons-common | Creates user and directories for HBase daemons | Mehr ...
Prepares some common things for all HBase daemon packages:
* creates data and log directories owned by the hadoop user
* manages the update-alternatives mechanism for hadoop configuration
* brings in the common dependencies of the daemons
hbase-masterd | The HBase master coordinates the regionservers. | Mehr ...
HBase is the Hadoop database. It hosts very large tables (think
petabytes) -- billions of rows X millions of columns -- atop clusters of
commodity hardware. It's modeled after Google's Bigtable.
.
The HBase master must be installed once per HBase cluster.
.
The default configuration starts the HBase master daemon in a pseudo
distributed mode. In this mode a regionserver is started inside the master and
you don't need to install the separate hbase-regionserverd package.
.
For HBase to work it needs to reach a zookeeper node. See the zookeeperd
package. The default configuration expects zookeeper to run on localhost.
hbase-regionserverd | HBase regionserver to be installed on each node | Mehr ...
HBase is the Hadoop database. It hosts very large tables (think
petabytes) -- billions of rows X millions of columns -- atop clusters of
commodity hardware. It's modeled after Google's Bigtable.
.
Each node of a HBase cluster runs a regionserver.
libhbase-java | HBase (Hadoop database) java library | Mehr ...
HBase is the Hadoop database. It hosts very large tables (think
petabytes) -- billions of rows X millions of columns -- atop clusters of
commodity hardware. It's modeled after Google's Bigtable.
.
* 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
* No HBase single point of failure
* Rolling restart for configuration changes and minor upgrades
* Random access performance on par with open source relational databases such
as MySQL
libhbase-java-doc | Contains the javadoc for the HBase (Hadoop database) java library. | Mehr ...
HBase is the Hadoop database. It hosts very large tables (think
petabytes) -- billions of rows X millions of columns -- atop clusters of
commodity hardware. It's modeled after Google's Bigtable.
.
* 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
* No HBase single point of failure
* Rolling restart for configuration changes and minor upgrades
* Random access performance on par with open source relational databases such
as MySQL





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