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

Create Hive Table with different schema data

  • #52152
    Varun Gupta
    Participant

    I need to create Hive table on multiple CSV files were schema header of a CSV file may vary. For example

    File – csv1
    Header
    A, B, C

    File – csv2
    Header
    A, B, C, D

    File – csv3
    Header
    A, B, D, C

    Above, we see are three csv files with little varying schema header. I need to create a Hive table on these three csv files. One solution, I came up with is that I can create three individual hive tables (one for each csv file) and then create view on these hive tables.

    CREATE VIEW view (SELECT A,B,C,NULL from t1 UNION ALL SELECT A,B,C,D from t2 UNION ALL SELECT A,B,C,D from t3);

    This solution works fine with me, but is there a more efficient solution?

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.