![]() ![]() If you run a few queries that exercise your Sitecore implementation code that queries Solr, you can review the contents of the Search log in the Sitecore /data directory and find entries such as: but here’s how you dial up the diagnostic data Sitecore reports about queries: On the Sitecore side, one can see the ContentSearch.SearchMaxResults setting in the Sitecore logs when you turn up the diagnostics to get more granular data this isn’t a configuration that’s recommended for using beyond a discrete troubleshooting session as the amount of data it can generate can be significant. Tracking ContentSearch.SearchMaxResults in Sitecore This write-up focuses on a conventional Sitecore -> Solr.Net -> Solr pattern, but I wanted to acknowledge that it’s not the only pattern. Just an aside: some projects do creative things with Solr search and Sitecore, and for certain scenarios it’s necessary to bypass Solr.Net and use the REST API directly from Sitecore. When it comes to Sitecore’s ContentSearch Provider for Solr, Solr.Net is Sitecore’s bridge for getting data to and from the Solr application. Instead, Solr.Net is a wrapper for the main Solr API elements that can be easily called by. Solr.Net, however, is not a port of the Solr Java application to. Net port for search called Lucene.Net, etc). Net port for logging named Log4net, Lucene has a. Net libraries to copy their open source equivalents from the Java world (like Log4J has a. The Sitecore ContentSearch Provider for Solr relies on Solr.Net for connectivity to Solr. Fun, right!? I cooked up the diagram below that shows an overview of how Sitecore and Solr work together in completing search queries:Įach application has it’s own logging which will help trace activity between the systems. It’s interesting to trace this setting through Sitecore and into Solr, and it sheds light on how these two complex systems work together. If you leave this setting at the default (so “”), one is telling Solr to return up to 2,147,483,647 results in a single response to a query, which we’ve observed in some cases to cause significant performance problems (Solr will fetch the large volume of records from disk and write them to the Solr response causing IO pressure etc.) It’s not always the case since it really comes down to the number of documents one is querying from Solr, but this sets up the potential for a virtually unbounded Solr query. One could read it and assume “this can be set but it is best kept as the default” means this shouldn’t be altered, but in my experience that can be problematic. There’s a lot to digest in that xml comment above. ![]() The XML comment for this setting is straight-forward, here’s how it’s presented in that file: The setting is defined in and it’s called ContentSearch.SearchMaxResults. I wanted to take this chance to comment on a Sitecore setting that can have a significant impact on how Sitecore search functions, but is easily overlooked. Solr is a powerful distributed system with a variety of angles of interest to Sitecore. The web service interface allows to support custom front-ends for users and additional visualization in maps.The software will be made freely available through the open source concept.I’ve consulted with a number of Sitecore implementations in the last month or two that had a variety of challenges with Sitecore integration with Solr. The metadata of all providers are stored in separate indices which makes it possible to combine them in several different portals. ![]() Current implementations of OAI only support Dublin Core metadata, the new Java based portal software will support any XML format and makes them searchable through Apache Lucene without any other database software.The open architecture makes it possible to define searchable fields in several data formats by XPath allowing not only full text queries, even ranges are retrievable. We present a generic portal system architecture suitable for geoscientific data portals.The portals harvest data providers with Open Archives Initiative (OAI) protocols using metadata in DIF or ISO-19139 format. The World Data Center for Marine and Environmental Sciences (WDC-MARE) with its information system PANGAEA (provides data portals for several EU projects (EUR-OCEANS, CARBOOCEAN) to disseminate data and metadata for international data networks. ![]()
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