[07/11] bigtop git commit: BIGTOP-3075: Drop pig packaging

[ju...@apache.org]

http://git-wip-us.apache.org/repos/asf/bigtop/blob/fb7a80fd/bigtop-tests/test-artifacts/package/src/main/resources/package_data.xml
----------------------------------------------------------------------
diff --git a/bigtop-tests/test-artifacts/package/src/main/resources/package_data.xml b/bigtop-tests/test-artifacts/package/src/main/resources/package_data.xml
index 927c1a6..0ca3323 100644
--- a/bigtop-tests/test-artifacts/package/src/main/resources/package_data.xml
+++ b/bigtop-tests/test-artifacts/package/src/main/resources/package_data.xml
@@ -370,44 +370,6 @@ easy to test, and efficient to run.</description>
       <hive-hcatalog>/self</hive-hcatalog>
     </deps>
   </hive-hcatalog-server>
-  <pig>
-    <metadata>
-      <summary>Pig is a platform for analyzing large data sets</summary>
-      <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.</description>
-      <url>http://pig.apache.org/</url>
-    </metadata>
-    <deps>
-      <hadoop/>
-      <bigtop-utils/>
-    </deps>
-    <alternatives>
-      <pig-conf>
-        <status>auto</status>
-        <link>/etc/pig/conf</link>
-        <value>/etc/pig/conf.dist</value>
-        <alt>/etc/pig/conf.dist</alt>
-      </pig-conf>
-    </alternatives>
-  </pig>
   <pig-udf-datafu>
     <metadata>
       <summary>A collection of user-defined functions for Hadoop and Pig.</summary>