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

Delimiter fail

  • #26112

    Hi!
    Loading a, comma delimited, file into HCatalog. I run into problems when a row contain un unintended comma;
    1005475-7 ,HÄGG,KARL-HENRIK ,0000000000,000000001,000000000014900,P

    It’s the comma after HÄGG that I want to ignore.
    In QlikView I use fixed length to sort this issue. How solve this in HCatalog?
    Running Oracle VirtualBox and Sandbox.

    regards
    thomas

  • Author
    Replies
  • #26274
    tedr
    Member

    Hi Thomas,

    If you are able to do so, enclose the data that you wish to contain the comma in quotes. or possibly change from comma separated to tab separated.

    Thanks,
    Ted.

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.