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https://issues.apache.org/jira/browse/HAWQ-1071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15612365#comment-15612365
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ASF GitHub Bot commented on HAWQ-1071:
--------------------------------------
Github user dyozie commented on a diff in the pull request:
https://github.com/apache/incubator-hawq-docs/pull/39#discussion_r85365540
--- Diff: pxf/HivePXF.html.md.erb ---
@@ -2,121 +2,450 @@
title: Accessing Hive Data
---
-This topic describes how to access Hive data using PXF. You have several
options for querying data stored in Hive. You can create external tables in PXF
and then query those tables, or you can easily query Hive tables by using HAWQ
and PXF's integration with HCatalog. HAWQ accesses Hive table metadata stored
in HCatalog.
+Apache Hive is a distributed data warehousing infrastructure. Hive
facilitates managing large data sets supporting multiple data formats,
including comma-separated value (.csv), RC, ORC, and parquet. The PXF Hive
plug-in reads data stored in Hive, as well as HDFS or HBase.
+
+This section describes how to use PXF to access Hive data. Options for
querying data stored in Hive include:
+
+- Creating an external table in PXF and querying that table
+- Querying Hive tables via PXF's integration with HCatalog
## <a id="installingthepxfhiveplugin"></a>Prerequisites
-Check the following before using PXF to access Hive:
+Before accessing Hive data with HAWQ and PXF, ensure that:
-- The PXF HDFS plug-in is installed on all cluster nodes.
+- The PXF HDFS plug-in is installed on all cluster nodes. See
[Installing PXF Plug-ins](InstallPXFPlugins.html) for PXF plug-in installation
information.
- The PXF Hive plug-in is installed on all cluster nodes.
- The Hive JAR files and conf directory are installed on all cluster
nodes.
-- Test PXF on HDFS before connecting to Hive or HBase.
+- You have tested PXF on HDFS.
- You are running the Hive Metastore service on a machine in your
cluster.
- You have set the `hive.metastore.uris` property in the `hive-site.xml`
on the NameNode.
+## <a id="topic_p2s_lvl_25"></a>Hive File Formats
+
+Hive supports several file formats:
+
+- TextFile - flat file with data in comma-, tab-, or space-separated
value format or JSON notation
+- SequenceFile - flat file consisting of binary key/value pairs
+- RCFile - record columnar data consisting of binary key/value pairs;
high row compression rate
+- ORCFile - optimized row columnar data with stripe, footer, and
postscript sections; reduces data size
+- Parquet - compressed columnar data representation
+- Avro - JSON-defined, schema-based data serialization format
--- End diff --
Just a suggestion, but I think this would read better as a 2-column
term/definition table. You could even make it a 3-column table to describe
which PXF plug-ins are used with each format.
> add PXF HiveText and HiveRC profile examples to the documentation
> -----------------------------------------------------------------
>
> Key: HAWQ-1071
> URL: https://issues.apache.org/jira/browse/HAWQ-1071
> Project: Apache HAWQ
> Issue Type: Improvement
> Components: Documentation
> Reporter: Lisa Owen
> Assignee: David Yozie
> Priority: Minor
> Fix For: 2.0.1.0-incubating
>
>
> the current PXF Hive documentation includes an example for only the Hive
> profile. add examples for HiveText and HiveRC profiles.
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