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How to get Hive Upload Table option ?

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New Member

This tutorial talks about Upload Table tab in Hive view of Ambari. But I don't see such an option. How can I get this option to show ?

1 ACCEPTED SOLUTION

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Not applicable

Can you please provide the Sandbox version?

http://hortonworks.com/hadoop-tutorial/learning-the-ropes-of-the-hortonworks-sandbox/#learn-sandbox-...

If you are using the HDP 2.4 SB then you need to use the corresponding tutorial:

https://github.com/hortonworks/tutorials/tree/hdp-2.4/tutorials/hortonworks/hello-hdp-an-introductio...

which doesn't include the Hive upload table option.

View solution in original post

14 REPLIES 14

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New Member

Here is a screenshot

lab2-issue.png

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Not applicable

Can you please provide the Sandbox version?

http://hortonworks.com/hadoop-tutorial/learning-the-ropes-of-the-hortonworks-sandbox/#learn-sandbox-...

If you are using the HDP 2.4 SB then you need to use the corresponding tutorial:

https://github.com/hortonworks/tutorials/tree/hdp-2.4/tutorials/hortonworks/hello-hdp-an-introductio...

which doesn't include the Hive upload table option.

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Guru

Do you have your pop-up blocker turned off on your browser?

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New Member

Hello Greg. Yes I had it on but the problem is still persisting even after switching it to off. I tried on Firefox as well.

I thought maybe I should log in as admin and when I tried the credentials used in the documentations admin/admin it says "Unable to sign in. Invalid username/password combination.", it is important to note that with maria_dev account sandbox doesn't allow you to change in the Configs of HDFS service.

I downloaded Sandbox 2.5 but I am downloading it again I think the download dint happen properly so it is giving me an error while importing. However I don't think it's an issue with the sandbox version.

Please help with this.

Thanks in advance

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New Member

I am also facing the same issue. What is the workaround for this? I have setup the HDP cluster on EC2.

13162-screen-shot-2017-03-01-at-113732-pm.png

,

I am also facing the same issue. What is the work around for this.