I am using aws Redis clusters
Engine version : 5.0.3
I want to get the all the failed jobs using python script, someone please help me out with the solution.
I am unbale to find redis api to get the get the failed jobs
Related
I am trying to use ECS optimized image (Amazon linux) and trying to install Glusterfs client on it.
Followed few documents like this internet but all are giving issue with repository. Unable to find the correct repo.
after tring yum install getting no package found error.
Please provide me some guidance to achieve this.
I am trying to install impala in a docker container(using MAPR documentstion).In this docker I am running only Impala service and remaining hive,maprfs services will be running on physical node.When starting impala-server(impala daemon) I am getting wearied errors.I just wanted to know whether this kind of installation is possible or not.
Thanks for Help!!
It is possible, but it depends on your Impala and MapR version. Impala 2.2.0 is supported on MapR 5.x. Impala 2.5.0 is supported on MapR 5.1 and later. Check enter link description here before proceeding.
I am trying to get the runtime metrics of hive after executing the hive queries. Are there any API's to obtain these metrics. Please suggest.
The whole intention behind asking this question is to gather metrics for different mapreduce jobs spawned at each stage and the amount of memory and cpu being used for each stage.
Hadoop Distribution: MapR (5.1)
Hive Version: 1.2.0 (Hive Server 2)
I have installed redis version 2.4.6. The installation is working perfectly for other commands. But when i try to execute any command from scan family (hsscan,sscan etc) it throughs error saying
Unknown command 'sscan'
I will be greatfull if anyone can guide me to get this sorted out.
As clearly documented, SCAN and related commands are available since Redis 2.8.0. Redis 2.4.6 is more than 4 years old and the current version is 3.2.0.
I know hadoop 2.6 cluster can be configured to run 'yarn' or 'local', where 'yarn' is mapreduce v2 and 'local' is just local mode. And I learnt from this thread (What is the difference between classic, local for mapreduce.framework.name in mapred-site.xml?) that it can also be configured to run in 'classic' framework, which is mapreduce v1. But I cannot run any job if I simply change 'mapreduce.framework.name' from 'yarn' (or 'local') to 'classic'. So, is it possible to do that? How can I configure it?
My another thought is, I'm using apache hadoop 2.6 distro, does that come with mapreduce v1 framework? If not, I should not be able to configure the cluster to run v1 framework.
Note, my question is not to run a mapreduce v1 job on hadoop 2.6.0, but configure the cluster in some way, (not 'yarn', not 'local'), running mapreduce v1 framework when got some job.
You can use hadoop 2.6.0 to configure MR1 or MR2. I have not used Apache, but i use CDH distributon of it where i configured my cluster as MRV1.