Friday, October 14 • 11:20am - 12:00pm
Working with deeply nested documents in SolrCloud
Until recently, Solr did not support deeply nested documents, but that has changed over the past few releases. While still not a popular use-case, Solr can now be used to handle deeply nested documents to perform search and faceting on them, like nested email threads, comments and replies on social media etc.

This talk would cover pointers around pre-processing of data so that it can not only be consumed by Solr but also make it possible to perform complex search and statistical aggregations on top of it. It would also cover query formation for sample use cases of nested data and multiple options and features that Solr provides for faceting or aggregation of the documents. By the end of this talk, Solr users would have a better understanding of both the features that Solr provides and how to work with them to find answers to interesting questions from deeply nested documents and the limitations that currently exist and how to work around to accomplish tasks indirectly.

avatar for Anshum Gupta

Anshum Gupta

Sr. Software Engineer, IBM Watson
Anshum Gupta is a Lucene/Solr committer and PMC member with over 10 years of experience with search. He is a part of the search team at IBM Watson, where he works on extending the limits and improving SolrCloud. Prior to this, he was a part of the open source team at Lucidworks and... Read More →
avatar for Alisa Zhila

Alisa Zhila

Software Engineer, IBM Watson
Alisa Zhila is a software engineer in IBM Watson Core Technology. She has graduated from Moscow Institute of Physics and Technology, Russia, and received PhD in Computer Science from National Polytechnic Institute, Mexico. In IBM she has been working on transition of linguistically... Read More →

Friday October 14, 2016 11:20am - 12:00pm
Commonwealth Sheraton Boston