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

ODBC Connnect Error

  • #48400
    Zhipeng Han
    Participant

    Hi
    I have two servers A and B, A is Hive server installed ODBC driver, B is a client, I trying to connect A from B by DSN but hit below error
    ERROR [HY000] [Hortonworks][ODBC] (10430) Not enough information provided to establish a connection to the data source and specified to not prompt for more information.

    My connection string like:
    Driver={Hortonworks Hive ODBC Driver};Dsn=”mydsnName”;Host=A;;Database=default;Protocol=10000;Uid=username;Pwd=password”;

    I can connect in A local to use that DSN, So please help.

    Thanks
    Zhi-Peng

  • Author
    Replies
  • #49028
    Yi Zhang
    Moderator

    Hi Zhi-Peng,

    Does client B have ODBC driver installed? And Datasource defined with that ODBC driver?

    Thanks,
    Yi

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.