Ishan Chattopadhyaya created SOLR-11741:
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Summary: Offline training mode for schema guessing
Key: SOLR-11741
URL: https://issues.apache.org/jira/browse/SOLR-11741
Project: Solr
Issue Type: Improvement
Security Level: Public (Default Security Level. Issues are Public)
Reporter: Ishan Chattopadhyaya
Our data driven schema guessing doesn't work under many situations. For
example, if the first document has a field with value "0", it is guessed as
Long and subsequent fields with "0.0" are rejected. Similarly, if the same
field had alphanumeric contents for a latter document, those documents are
rejected. Also, single vs. multi valued field guessing is not ideal.
Proposing an offline training mode where Solr accepts bunch of documents and
returns a guessed schema (without indexing). This schema can then be used for
actual indexing. I think the original idea is from Hoss.
I think initial implementation can be based on an UpdateRequestProcessor. We
can hash out the API soon, as we go along.
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