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https://issues.apache.org/jira/browse/SOLR-1535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13197390#comment-13197390
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Andrzej Bialecki commented on SOLR-1535:
-----------------------------------------
Avro adds yet another dependency, which would make sense if Solr used Avro
instead of JavaBin - but that's a separate discussion that merits a separate
JIRA issue... as it isn't used now I'd rather avoid putting additional burden
on clients just for the sake of this patch.
JSON could be a nice alternative, if it only supported binary data natively (it
doesn't, one has to use base64 - however, it's [not that awful as you could
think|http://stackoverflow.com/questions/1443158/binary-data-in-json-string-something-better-than-base64]).
I wanted to avoid complex formats like XML - too much boilerplate for such
small bits of data. So the current custom serialization tried to strike a
balance between simplicity, flexibility and low overhead.
Serialization of terms was also discussed in SOLR-1632 - e.g. this patch
doesn't serialize binary terms properly.
> Pre-analyzed field type
> -----------------------
>
> Key: SOLR-1535
> URL: https://issues.apache.org/jira/browse/SOLR-1535
> Project: Solr
> Issue Type: New Feature
> Affects Versions: 1.5
> Reporter: Andrzej Bialecki
> Fix For: 3.6, 4.0
>
> Attachments: SOLR-1535.patch, preanalyzed.patch, preanalyzed.patch
>
>
> PreAnalyzedFieldType provides a functionality to index (and optionally store)
> content that was already processed and split into tokens using some external
> processing chain. This implementation defines a serialization format for
> sending tokens with any currently supported Attributes (eg. type, posIncr,
> payload, ...). This data is de-serialized into a regular TokenStream that is
> returned in Field.tokenStreamValue() and thus added to the index as index
> terms, and optionally a stored part that is returned in Field.stringValue()
> and is then added as a stored value of the field.
> This field type is useful for integrating Solr with existing text-processing
> pipelines, such as third-party NLP systems.
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