Hi, Have been doing a little reading about different distributed (text) indexing techniques and picked up on the Document Partitioned Index approach on Accumulo.
I am interested in the use-cases people would have for indexing data in this way over using a distributed search service (Elastic or SolrCloud). I can think of a few reasons, but wondered if there's something more obvious that I'm missing? - cell (field level) access controls - scale - I understand Accumulo will scale to thousands of nodes. I believe there are some limitations in Elastic / Solr at about 100 nodes. - integration with an existing schema or index in Accumulo (not sure about this one and what benefits it would have over calling out to a search service) - you want to take advantage of other features in Accumulo, e.g. Combining iterators to perform some aggregation alongside your document partitioned index (again, can't imagine use cases here, but maybe there are some) - more control over 'messy data', e.g partial duplicates that need merging at ingest Are there others? Be interesting to hear if people use this indexing strategy. Many thanks.
