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From the [http://hive.apache.org/ project site]: "Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL." | From the [http://hive.apache.org/ project site]: "Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL." | ||
The Fedora Big Data SIG is investigating the requirements to adapt the latest version of Hive as a package in Fedora, now that [https://koji.fedoraproject.org/koji/packageinfo?packageID=16841 Hadoop 2.x has been packaged]. Although Hive obviously has a significant dependency on Hadoop, the Java project is not Maven-based and instead is built using ant and ivy. The xmvn tooling support in Fedora does not directly apply to the Hive build. In many ways this can be viewed as a simplification instead of a challenge since one can configure a local file-system Ivy resolver relatively easily. | The Fedora Big Data SIG is investigating the requirements to adapt the latest version of Hive as a package in Fedora, now that [https://koji.fedoraproject.org/koji/packageinfo?packageID=16841 Hadoop 2.x has been packaged]. Although Hive obviously has a significant dependency on Hadoop, the Java project is not Maven-based and instead is built using ant and ivy. The [[:Packaging:Java]] xmvn tooling support in Fedora does not directly apply to the Hive build. In many ways this can be viewed as a simplification instead of a challenge since one can configure a local file-system Ivy resolver relatively easily. | ||
Revision as of 16:51, 4 September 2013
From the project site: "Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL."
The Fedora Big Data SIG is investigating the requirements to adapt the latest version of Hive as a package in Fedora, now that Hadoop 2.x has been packaged. Although Hive obviously has a significant dependency on Hadoop, the Java project is not Maven-based and instead is built using ant and ivy. The Packaging:Java xmvn tooling support in Fedora does not directly apply to the Hive build. In many ways this can be viewed as a simplification instead of a challenge since one can configure a local file-system Ivy resolver relatively easily.
avro-1.7.1.jar
avro-ipc-1.7.1.jar
avro-mapred-1.7.1.jar
commons-httpclient-3.0.1.jar (Jakarta???) commons-httpclient-3.1.jar
datanucleus-connectionpool-2.0.3.jar datanucleus-core-2.0.3.jar datanucleus-enhancer-2.0.3.jar datanucleus-rdbms-2.0.3.jar
ftplet-api-1.0.0.jar
ftpserver-core-1.0.0.jar ftpserver-deprecated-1.0.0-M2.jar
geronimo-j2ee-management_1.1_spec-1.0.1.jar
high-scale-lib-1.1.1.jar
httpclient-4.1.3.jar httpcore-4.1.3.jar
javolution-5.5.1.jar
kahadb-5.5.0.jar
libfb303-0.9.0.jar* libthrift-0.8.0.jar* libthrift-0.9.0.jar*
metrics-core-2.1.2.jar
pig-0.10.1.jar (dep on pig?)
stax-api-1.0-2.jar
tempus-fugit-1.1.jar