The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

Hive / HCatalog Forum

Hive External Table

  • #26949
    richa sharma

    I want to load data from table A into an external table B in Hive. Once loaded I want to refer data in table B using Pig for row wise operations.

    Currently once the data is loaded into external table – the actual data file has a name like 00000_0. is there a way I can specify what file name to use so that i could refer that in my Pig code ?

  • Author
  • #26964

    Hi Richa,

    Does the information at this post help


    richa sharma

    Thanks Ted

    Yes, this is quite helpful. I think I’ll go with sqoop to get the data from Hive.. understood why it doesn’t let us control the file names.

    Thanks again


The forum ‘Hive / HCatalog’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.