SolrCloud similar to most of the distributed systems is designed with some rules in mind. There are also rules that each distributed system is subject to. For example the CAP theorem tells that a system can’t achieve availability, data consistency and network partition split tolerance at the same time – you can have two out of three at most. Of course, in this blog entry, we will not be discussing principles of the distributed systems, but we will focus on write and read tolerance in SolrCloud.
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SolrCloud: What happens when ZooKeeper fails – part two
In the previous blog post about SolrCloud we’ve talked about the situation when ZooKeeper connection failed and how Solr handles that situation. However, we only talked about query time behavior of SolrCloud and we said that we will get back to the topic of indexing in the future. That future is finally here – let’s see what happens to indexing when ZooKeeper connection is not available.
Solr: data indexing for fun and profit
Solr is not very friendly to novice users. Preparing good schema file requires some experience. Assuming that we have prepared the configuration files, what remains for us is to share our data with the search server and take care of update ability.
5 sins of schema.xml modifications
I made a promise and here it is – the entry on the most common mistakes when designing Solr index, which is when You create or modify the schema.xml file for Your system implementation. Feel free to read on 😉