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

Oozie Forum

Oozie Deadlock

  • #45391
    Chiew Yea Kuek

    Hi All,

    I’m trying to schedule an oozie job to run 2 sqoop action concurrently using fork in sandbox. Previously when I run in Hadoop 1 sandbox, I faced the oozie deadlock issue (where by 2 sqoop jobs hang there and it keep display “Heart beat” and the job will never end) but I am able to fixed it by apply the below settings. = 4
    mapred.tasktracker.reduce.tasks.maximum = 4

    Now, when I tried the same oozie job in Hadoop 2 (YARN) sandbox, i faced the same deadlock issue again. However, after I tried to apply the below setting, the problem still exists. = 4
    mapreduce.reduce.cpu.vcores = 4

    Anyone could shed me some light? Appreciate your help. Thanks.


The forum ‘Oozie’ 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.