Hi, I'm working on an application which uses fuzzy suggester to provide auto complete feature with fuzzy matching. I need to periodically build suggesters in order for the latest data to reflect in suggest results. As the index size grows, I frequently run into OutOfMemory issue when building suggesters and require manual intervention to increase the JVM heap size.
I'm thinking about the following approach to overcome this issue. Split the search index(search documents) into multiple segments and build suggest at segment level and finally merge the suggest results(FSTs). Has anyone solved similar use case or have any suggestions. Best, Karthic --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
