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Patrick Hunt commented on SOLR-1277: ------------------------------------ I'm not familiar with solr requirements but, at a higher level, I wanted to point out that when designing your ZooKeeper model you should keep scaling issue in mind, also identifying "patterns" is very useful see this link for some background (discussions we are having with hbase on similar vein) http://wiki.apache.org/hadoop/ZooKeeper/HBaseUseCases The basic concerns users should think about: 1) number of sessions (clients) the ZK service will maintain (for solr I think this is small, 10's or 100's of sessions right?) 2) number of znodes and size of znodes. a) Memory requirements mainly, also gc effects as current sun vms are poor wrt gc pauses b) we generally discourage large data size on the znodes (generally we suggest < 10k, <1k even better) as the ZK service copies this data from server->leader->followers as part of a write - so what I'm saying is that large data can slow your write performance as a result) c) second issue re. data size on znodes - we don't have partial read/write operations so you want to partition your data into multiple znodes rather than having 1 large znode 3) number of watches - typically you'll be using watches to dynamically update solr based on changes to the system. You want to think about the watches you are setting (in particular you would like to limit "herd" effect) > Implement a Solr specific naming service (using Zookeeper) > ---------------------------------------------------------- > > Key: SOLR-1277 > URL: https://issues.apache.org/jira/browse/SOLR-1277 > Project: Solr > Issue Type: New Feature > Affects Versions: 1.4 > Reporter: Jason Rutherglen > Assignee: Grant Ingersoll > Priority: Minor > Fix For: 1.5 > > Attachments: log4j-1.2.15.jar, SOLR-1277.patch, SOLR-1277.patch, > SOLR-1277.patch, SOLR-1277.patch, zookeeper-3.2.1.jar > > Original Estimate: 672h > Remaining Estimate: 672h > > The goal is to give Solr server clusters self-healing attributes > where if a server fails, indexing and searching don't stop and > all of the partitions remain searchable. For configuration, the > ability to centrally deploy a new configuration without servers > going offline. > We can start with basic failover and start from there? > Features: > * Automatic failover (i.e. when a server fails, clients stop > trying to index to or search it) > * Centralized configuration management (i.e. new solrconfig.xml > or schema.xml propagates to a live Solr cluster) > * Optionally allow shards of a partition to be moved to another > server (i.e. if a server gets hot, move the hot segments out to > cooler servers). Ideally we'd have a way to detect hot segments > and move them seamlessly. With NRT this becomes somewhat more > difficult but not impossible? -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.