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648 | 05-01-2024 06:42 AM |
01-18-2023
12:10 AM
Hello @Girija Since we haven't heard back from you, We shall mark the Post as Solved. If you happen to have any further ask, Feel free to Update the Post. In Summary, Internally, I wasn't able to replicate the issue being faced by you as I was able to create the ConfigSet using "_default" ConfigSet as baseConfig. Customer can use the below solrctl command to create a ConfigSet with Solr KeyTab: solrctl config --create Test_Config _default -p configSetProp.immutable=false Assuming the above Command fails, Running the solrctl command with "--trace" after "solrctl" & before "config" would print the trace logging & assist in troubleshooting the issue faced by your team. Regards, Smarak
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01-17-2023
11:03 PM
Hello @pankshiv1809 Since we haven't heard from your side concerning the Post, We are marking the Post as Solved. If you have any further ask, Feel free to update the Post & we shall get back to you accordingly. Regards, Smarak
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01-17-2023
10:46 PM
Hello @mingtian Note that Debug Logging won't ensure the Balancer would perform Region Movement, rather the same would confirm if Balancer is running yet the same isn't moving any Region owing to CostFactor. Example: I ensured 1 RegionServer didn't had any Region by RegionMovement & triggered a Balancer, which showed [1] & trigger a Region Movement (Note "Found A Solution That Moves 1 Region"). After the 1st Balancer is Completed, I triggered a 2nd Balancer, which printed [2], wherein the DEBUG report "Skipping Load Balancing". I believe your Team would see [2] i.e. Balancer is Skipping any Load Balancing owing to Cost Factor. As such, Your Team can consider the fact that HBase is rejecting Region Movement owing to the fact that any new Region-Movement is "Costlier" than Current Region Placement. Tweaking [3] Cost Parameters including setting "hbase.master.loadbalance.bytable" to "true" should help trigger a Balancer for your Team. Regards, Smarak [1] 2023-01-18 06:38:33,290 INFO org.apache.hadoop.hbase.master.balancer.StochasticLoadBalancer: Finished computing new moving plan. Computation took 95 ms to try 7200 different iterations. Found a solution that moves 1 regions; Going from a computed imbalance of 0.4961380973335763 to a new imbalance of 0.020487264673311183. funtionCost=RegionCountSkewCostFunction : (multiplier=500.0, imbalance=0.0); PrimaryRegionCountSkewCostFunction : (not needed); MoveCostFunction : (multiplier=7.0, imbalance=0.3333333333333333, need balance); ServerLocalityCostFunction : (multiplier=25.0, imbalance=0.0); RackLocalityCostFunction : (multiplier=15.0, imbalance=0.0); TableSkewCostFunction : (multiplier=35.0, imbalance=0.0); RegionReplicaHostCostFunction : (not needed); RegionReplicaRackCostFunction : (not needed); ReadRequestCostFunction : (multiplier=5.0, imbalance=1.0, need balance); WriteRequestCostFunction : (multiplier=5.0, imbalance=1.0, need balance); MemStoreSizeCostFunction : (multiplier=5.0, imbalance=0.0); StoreFileCostFunction : (multiplier=5.0, imbalance=0.0); [2] 2023-01-18 06:39:05,365 INFO org.apache.hadoop.hbase.master.balancer.StochasticLoadBalancer: Cluster wide - skipping load balancing because weighted average imbalance=0.013858568086431631 <= threshold(0.025). If you want more aggressive balancing, either lower hbase.master.balancer.stochastic.minCostNeedBalance from 0.025 or increase the relative multiplier(s) of the specific cost function(s). functionCost=RegionCountSkewCostFunction : (multiplier=500.0, imbalance=0.0); PrimaryRegionCountSkewCostFunction : (not needed); MoveCostFunction : (multiplier=7.0, imbalance=0.0); ServerLocalityCostFunction : (multiplier=25.0, imbalance=0.0); RackLocalityCostFunction : (multiplier=15.0, imbalance=0.0); TableSkewCostFunction : (multiplier=35.0, imbalance=0.0); RegionReplicaHostCostFunction : (not needed); RegionReplicaRackCostFunction : (not needed); ReadRequestCostFunction : (multiplier=5.0, imbalance=0.6685715976063684, need balance); WriteRequestCostFunction : (multiplier=5.0, imbalance=1.0, need balance); MemStoreSizeCostFunction : (multiplier=5.0, imbalance=0.0); StoreFileCostFunction : (multiplier=5.0, imbalance=0.0); [3] StochasticLoadBalancer (Apache HBase 3.0.0-alpha-4-SNAPSHOT API)
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01-16-2023
09:09 PM
Hello @Ryan_2002 Thanks for engaging Cloudera Community. First of all, Thank You for the detailed description of the Problem. I believe your ask is Valid, yet reviewing the same over a Community Post isn't a suitable approach. Feasible for you to engage Cloudera Support to allow our Team to work with you, with the suitability of Screen-Sharing Session as well as Logs exchange, both of which aren't feasible in Community. That would greatly expedite the review of your ask. Regards, Smarak
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01-16-2023
01:57 AM
Hello @mingtian Hope you are doing well. We wish to follow-up with you & check if the DEBUG Logging assisted in confirming the reasoning for Balancer Algorithm deciding against Region-Movement. If Yes, Kindly let us know if your Q in the Post has been answered or any further Q remains. Regards, Smarak
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01-16-2023
01:55 AM
Hello @pankshiv1809 Hope you are doing well. We wish to follow-up on the Post & confirm whether your Team was requesting information into Dynamic Allocation to allow Spark adjust resources based on Workload requirement. Regards, Smarak [1] Job Scheduling - Spark 3.3.1 Documentation (apache.org)
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01-16-2023
01:54 AM
Hello @panb We hope your Query has been addressed by us & shall mark the Post as Resolved. In Summary, Your Team needs to meet the requirement as stated in [1], which doesn't differentiate in Processor Type & I believe your Team is referring to Hygon Dhyana Processor. Note that we have shared the Hardware requirement is shared for CDP v7.1.8 as CDH isn't recommended now owing to End-Of-Life. As a Best Practise, I shall suggest engaging with Cloudera Account Team associated with Customer to perform any due diligence with respect to Supportability & Best Practices prior to onboarding Use-Cases into any new Platform, wherein Supportability is doubted by your Team. Regards, Smarak [1] Hardware Requirements | CDP Private Cloud (cloudera.com)
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01-13-2023
01:59 AM
Hello @pankshiv1809 Thanks for using Cloudera Community. Based on your Post, Assuming [1] would help i.e. Using Dynamic Allocation to allow Spark adjust resources based on Workload requirement. Regards, Smarak [1] Job Scheduling - Spark 3.3.1 Documentation (apache.org)
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01-13-2023
01:56 AM
Hello @panb Thanks for using Cloudera Community. As far as I am aware, your Team needs to meet the requirement as stated in [1], which doesn't differentiate in Processor Type & I believe your Team is referring to Hygon Dhyana Processor. Note that we have shared the Hardware requirement is shared for CDP v7.1.8 as CDH isn't recommended now owing to End-Of-Life. Regards, Smarak [1] Hardware Requirements | CDP Private Cloud (cloudera.com)
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01-13-2023
01:47 AM
Hello @mingtian Thanks for using Cloudera Community. Based on your Post, We would suggest enabling DEBUG Logging for HMaster (Via HMaster UI To Avoid Any Restart) & trigger the Balancer. Generally, Balancer Algorithm may be deciding against running any Region-Alignment owing to Cost Factor [1]. The HMaster Debug Log would print such Balancer information for your review, upon which the Params discussed in [1] can be tuned to force Balancer, yet the Default Params are generally persisted for most Use-Cases. Note that Balancer Job isn't to merely fit Equal Regions per RegionServer. Balancer consider various Cost as defined by [1] to proceed with Region-Alignment. Regards, Smarak [1] StochasticLoadBalancer (Apache HBase 3.0.0-alpha-4-SNAPSHOT API)
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