tag | e52372f9124d3ab25a4d91d3672d0e8c1d0ede83 | |
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tagger | Goden Yao <tyao@Goden-Yao-MacBook-Pro.local> | Fri Dec 18 10:55:34 2015 -0800 |
object | b6cb39c37e83fb5ee542b9f953c3a5e28e4617eb |
Cleaned up unnecessary jars, tars and RAT with all exceptions defined
commit | b6cb39c37e83fb5ee542b9f953c3a5e28e4617eb | [log] [tgz] |
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author | Wen Lin <wlin@pivotal.io> | Fri Dec 18 17:47:46 2015 +0800 |
committer | Wen Lin <wlin@pivotal.io> | Fri Dec 18 17:47:46 2015 +0800 |
tree | 91df2dbccecf24266e5bfbec0ef48470d6551206 | |
parent | c6ddf2477eaa91f18018dec38c17e4eb9fd21a7f [diff] |
HAWQ-186. Remove jar files in contrib/hawq-hadoop/hawq-mapreduce-tool/lib
Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages of MPP database with the scalability and convenience of Hadoop. HAWQ reads data from and writes data to HDFS natively. HAWQ delivers industry-leading performance and linear scalability. It provides users the tools to confidently and successfully interact with petabyte range data sets. HAWQ provides users with a complete, standards compliant SQL interface. More specifically, HAWQ has the following features:
Please refer to the BUILD_INSTRUCTIONS file.