Hi Shai
I thought that might be what acceptDocs was for, but in my case it is null and
throws a NPE if I try your suggestion.
What am I doing wrong? I'd like to really understand this stuff ..
Thanks
Chris
> On 11 Mar 2015, at 13:05, Shai Erera <ser...@gmail.com> wrote:
>
> I don't see that you use acceptDocs in your MyNDVFilter. I think it would
> return false for all userB docs, but you should confirm that.
>
> Anyway, because you use an NDV field, you can't automatically skip
> unrelated documents, but rather your code would look something like:
>
> for (int i = 0; i < reader.maxDoc(); i++) {
> if (!acceptDocs.get(i)) {
> continue;
> }
> // document is accepted, read values
> ...
> }
>
> Shai
>
>> On Wed, Mar 11, 2015 at 1:25 PM, Ian Lea <ian....@gmail.com> wrote:
>>
>> Can you use a BooleanFilter (or ChainedFilter in 4.x) alongside your
>> BooleanQuery? Seems more logical and I suspect would solve the problem.
>> Caching filters can be good too, depending on how often your data changes.
>> See CachingWrapperFilter.
>>
>> --
>> Ian.
>>
>>
>> On Tue, Mar 10, 2015 at 12:45 PM, Chris Bamford <cbamf...@mimecast.com>
>> wrote:
>>
>>>
>>> Hi,
>>>
>>> I have an index of 30 docs, 20 of which have an owner field of "UserA"
>>> and 10 of "UserB".
>>> I also have a query which consists of:
>>>
>>> BooleanQuery:
>>> -- Clause 1: TermQuery
>>> -- Clause 2: FilteredQuery
>>> ----- Branch 1: MatchAllDocsQuery()
>>> ----- Branch 2: MyNDVFilter
>>>
>>> I execute my search as follows:
>>>
>>> searcher.search( booleanQuery,
>>> new TermFilter(new Term("owner",
>>> "UserA"),
>>> 50);
>>>
>>> The TermFilter's job is to reduce the number of searchable documents
>>> from 30 to 20, which it does for all clauses of the BooleanQuery except
>> for
>>> MyNDVFilter which iterates through the full 30 docs, 10 needlessly. How
>>> can I restrict it so it behaves the same as the other query branches?
>>>
>>> MyNDVFilter source code:
>>>
>>> public class MyNDVFilter extends Filter {
>>>
>>> private String fieldName;
>>> private String matchTag;
>>>
>>> public TagFilter(String ndvFieldName, String matchTag) {
>>> this.fieldName = ndvFieldName;
>>> this.matchTag = matchTag;
>>> }
>>>
>>> @Override
>>> public DocIdSet getDocIdSet(AtomicReaderContext context, Bits
>>> acceptDocs) throws IOException {
>>>
>>> AtomicReader reader = context.reader();
>>> int maxDoc = reader.maxDoc();
>>> final FixedBitSet bitSet = new FixedBitSet(maxDoc);
>>> BinaryDocValues ndv = reader.getBinaryDocValues(fieldName);
>>>
>>> if (ndv != null) {
>>> for (int i = 0; i < maxDoc; i++) {
>>> BytesRef br = ndv.get(i);
>>> if (br.length > 0) {
>>> String strval = br.utf8ToString();
>>> if (strval.equals(matchTag)) {
>>> bitSet.set(i);
>>> System.out.println("MyNDVFilter >> " + matchTag +
>>> " matched " + i + " [" + strval + "]");
>>> }
>>> }
>>> }
>>> }
>>>
>>> return new DVDocSetId(bitSet); // just wraps a FixedBitSet
>>> }
>>> }
>>>
>>>
>>>
>>> Chris Bamford m: +44 7860 405292 w: www.mimecast.com Senior
>> Developer p:
>>> +44 207 847 8700 Address click here
>>> <http://www.mimecast.com/About-us/Contact-us/>
>>> ------------------------------
>>> [image: http://www.mimecast.com]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=83be674748892bc34425eb4133af3e68
>>>
>>> [image: LinkedIn]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=83a78f78bdfa40c471501ae0b813a68f>
>> [image:
>>> YouTube]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=ad1ed1af5bb9cf9dc965267ed43faff0>
>> [image:
>>> Facebook]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=172d4ea57e4a4673452098ba62badace>
>> [image:
>>> Blog]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=871b30b627b3263b9ae2a8f37b0de5ff>
>> [image:
>>> Twitter]
>>> <
>> https://serviceA.mimecast.com/mimecast/click?account=C1A1&code=cc3a825e202ee26a108f3ef8a1dc3c6f
>>
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