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

Tez Forum

tez hanging

  • #58300
    auser1966
    Participant

    Hello

    we have enabled tez and we can run simple queries but when we run anything complex we get this error

    org.apache.tez.dag.api.DAGSubmissionTimedOut: Could not submit DAG to Tez Session, timed out after 120 seconds

    I see these two values for tez timeout in tez-site.xml… and i have increased them, but i still get the same error, and neither of these settings is = 120 seconds

    tez.session.client.timeout.secs
    tez.session.am.dag.submit.timeout.secs

    Do you happen to know how i can increase the tez timeout to > 120 seconds and/or why tez is hanging ????

    Thx

  • Author
    Replies
  • #76185
    Mr Luie
    Participant

    Any updates to this question? I’m facing similar issue.

    #81588
    mahender S
    Participant

    Any Update on this issue, even I m also facing same issue

The forum ‘Tez’ 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.