About bandarusridhar1

klksrinivas · ‎11-15-2016

Thanq @SBandaru By unchecking Skip group modifications during install, I am able to install and configure using LDAP.

schitirala · ‎10-17-2016

@SBandaru To my knowledge, it's not advisable to change the pre-defined ambari scripts. These changes might affect the the potential upgrade of ambari server in future. A best practice would be developing an individual maintenance script to change the permissions of the hive warehouse.

prnuamat · ‎06-15-2017

I have installed Spark 2.1 manually on HDP 2.3.4 while there is another version Spark 1.5 already installed via HDP. When i try to run jobs in yarn cluster mode spark 2.1 is resolving to HDP 2.3.4 spark libraries and resulting in bad substitution errors. Any ideas how you were able to resolve this when using two spark versions ?

elserj · ‎10-04-2016

Some extra thoughts on top of Rajeshbabu's reply: 1. Increase the heapsize of the Phoenix Query Server via the PHOENIX_QUERYSERVER_OPTS variable hbase-env.sh 2. For writing data, make sure the addBatch() and executeBatch() API calls are used for the best performance

cjxqhhh · ‎01-11-2019

@Constantin Stanca Hi, could you please why there could be a split-brain situation when the number of zookeeper nodes is even? Thanks~

elserj · ‎09-01-2016

Yes. The Phoenix JDBC does not require the Phoenix Query Server. The Phoenix Query Server provides a "thin" JDBC driver.

christopher_w_m · ‎08-30-2016

@SBandaru Like @Frank Lu mentioned, there are some things that are not supported when using TDCH with Sqoop. For example, creating the schema automatically with "sqoop import" doesn't work. Instead, use "sqoop create-hive-table" to create the schema first and then do "sqoop import". For more info see: https://community.hortonworks.com/content/kbentry/53531/importing-data-from-teradata-into-hive.html

bandarusridhar1 · ‎08-18-2016

hdfs dfsadmin -setBalancerBandwidth 100000000 on all the DN and the client we ran the command below hdfs balancer -Dfs.defaultFS=hdfs://<NN_HOSTNAME>:8020 -Ddfs.balancer.movedWinWidth=5400000 -Ddfs.balancer.moverThreads=1000 -Ddfs.balancer.dispatcherThreads=200 -Ddfs.datanode.balance.max.concurrent.moves=5 -Ddfs.balance.bandwidthPerSec=100000000 -Ddfs.balancer.max-size-to-move=10737418240 -threshold 5 This will faster balance your HDFS data between datanodes and do this when the cluster is not heavily used. Hope this helps you.

aditya_konda · ‎08-10-2016

According the document we have to go for the minor upgrade. How much time will it take to upgrade it ?

elserj · ‎08-10-2016

That documentation does not look correct to me, but maybe I am missing something 🙂 No, there is no way to change your shell profiles via Ambari.

Online	Offline
Last Visited	‎04-28-2023 03:22 PM

Member Since	‎04-13-2016 05:38 PM
Last Visited	‎04-28-2023 03:22 PM
Posts	422
Kudos received	149

Cloudera Community

Re: yarn local cache on ssd

Re: Where to add timeout configuration for hive on...

Re: restrict user access to queues

Re: How create blueprint of existing cluster and h...

Re: Not able to run HDFS command

Re: How to configure ambari to install HDP using t...

Re: How to change /apps/hive/warehouse directory p...

Re: Install two versions of Spark on same cluster.

Re: HBase & Phoenix Query Server Tuning properties...

Re: Zookeeper on even master nodes

Re: JDBC connection with your HBase bypassing the ...

Re: Table schema is missing on Sqooping data from ...

How to increase HDFS Balancer network bandwidth fo...

Re: how can I upgrade HDP 2.3.2 to HDP 2.4 using a...

Re: Permanent HBASE_CONF_PATH setup for Phoenix to...