Hi Alan,
You're the expert here so I thought I'd ask before I jump in deep. Do
you think it's feasible to solve the following multivalued-field
problem:
doc: field=["foo", "bar"]
query: field:(foo AND bar)
I'd like the above to return zero hits (no single value contains both
foo and bar), but since multi-valued fields are logically indexed as a
single field, it returns doc. I recognize this as a well known problem
but subdocuments are not fun to deal with so I'd like to avoid them at
all costs.
Would it be possible to solve the above with intervals? Say, something
like this:
Intervals.containing(valuePositionRanges(), query).
I assume the containment relationship would get rid of false-positives
crossing value boundary here. The problem is in how to construct those
value position ranges... Store them at index-construction time
somehow? Compute them on the fly for anything that has a chance to
match query? Your thoughts would be very appreciated.
Dawid
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You're the expert here so I thought I'd ask before I jump in deep. Do
you think it's feasible to solve the following multivalued-field
problem:
doc: field=["foo", "bar"]
query: field:(foo AND bar)
I'd like the above to return zero hits (no single value contains both
foo and bar), but since multi-valued fields are logically indexed as a
single field, it returns doc. I recognize this as a well known problem
but subdocuments are not fun to deal with so I'd like to avoid them at
all costs.
Would it be possible to solve the above with intervals? Say, something
like this:
Intervals.containing(valuePositionRanges(), query).
I assume the containment relationship would get rid of false-positives
crossing value boundary here. The problem is in how to construct those
value position ranges... Store them at index-construction time
somehow? Compute them on the fly for anything that has a chance to
match query? Your thoughts would be very appreciated.
Dawid
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