Lucene tends to omit full scans as possible with leap-frogging on
skiplists. It will enumerate all *matching* docs O(m) and rank every result
with O(log(page size)). ie O(m log p).
Early I remember that BJQ enumerated all matching children even most time
it's enough find only one, potentially it's a room for improvement but it
never be a  problem.


On Fri, Apr 6, 2018 at 4:15 PM, Arturas Mazeika <maze...@gmail.com> wrote:

> Hi Mikhail et al,
>
> I must say that this complexity question is still bugging me, and I wonder
> if it is possible to get even partial answers in Big-O notation..
>
> Say that we have N (for example 10^6) documents, each having 10 SKUs and
> each in turn having 10  storage as well as every product having 10 vendors.
> Consider then answer to be 1% large (there are 10 000 documents satisfying
> the query). What would be the complexity of answering it?
>
> Cheers,
> Arturas
>
> On Thu, Apr 5, 2018 at 11:47 AM, Arturas Mazeika <maze...@gmail.com>
> wrote:
>
> > Hi Mikhail et al,
> >
> > Thanks a lot for sharing the code snippet. I would not have been able to
> > dig this Java file myself to investigate the complexity of the search
> > query. Scanning the code I get a feeling that it is well structured and
> > well thought of. There is a concept like advance (Parent Approximation)
> as
> > well as ParentPhaseTwo, matches, matchCost, BlockJoinScorer, Explanation,
> > Query rewriting. Is there a documentation available how the architecture
> > looks like and what school of thought/doctrine used here?
> >
> > W.r.t. to my complexity question, I expected to see an answer in the
> Big-O
> > notation (rather than as Java code). Typically one makes assumptions
> there
> > about the key parameters (e.g., number of Products to be N_P, number of
> > SKUs to be N_Sk, number of storages to be N_St, number of vendors to be
> > N_V, JOIN Selectivities (in terms of percentage) be  p(P,SK), p(SK,ST),
> > p(P,V) between the corresponding entities and computes a formula.
> >
> > What is the complexity of this query in big-O notation?
> >
> > Cheers,
> > Arturas
> >
> >
> >
> > On Wed, Apr 4, 2018 at 6:16 PM, Mikhail Khludnev <m...@apache.org>
> wrote:
> >
> >> >
> >> > What's happening under the hood of
> >> > solr in answering query [1] from [2]?
> >>
> >> https://github.com/apache/lucene-solr/blob/master/lucene/
> >> join/src/java/org/apache/lucene/search/join/ToParentBlo
> >> ckJoinQuery.java#L178
> >>
> >> On Wed, Apr 4, 2018 at 3:39 PM, Arturas Mazeika <maze...@gmail.com>
> >> wrote:
> >>
> >> > Hi Mikhail et al,
> >> >
> >> > Thanks a lot for a very thorough answer. This is an impressive piece
> of
> >> > knowledge you just shared.
> >> >
> >> > Not surprisingly, I was caught unprepared by the 'v=...' part of the
> >> > answer. This brought me to the links you posted (starts with http).
> From
> >> > those links I went to the more updated link (starts with https), which
> >> > brought me to other very resourceful links. Combined with some
> >> meditation
> >> > session, it came into my mind that it is not possible to express block
> >> > queries using mathematical logic only. The format of the input
> document
> >> is
> >> > deeply built into the query expression and answering. Expressing these
> >> > queries mathematically / logically may give an impression that solr is
> >> > capable of answering (NP-?) hard problems. I have a feeling though
> that
> >> > solr answers to queries in polynomial (or even almost linear) times.
> >> >
> >> > Just to connect the remaining dots.. What's happening under the hood
> of
> >> > solr in answering query [1] from [2]? Is it really so that inverted
> >> index
> >> > is used to identify the vectors of ids, that are scanned linearly in a
> >> hope
> >> > to get matches on _root_ and other internal variables?
> >> >
> >> > [1] q=+{!parent which=type_s:product v=$skuq} +{!parent
> >> > which=type_s:product v=$vendorq}&skuq=+COLOR_s:Blue +SIZE_s:XL
> +{!parent
> >> > which=type_s:sku v='+QTY_i:[10 TO *] +STATE_s:CA'}&vendorq=+NAME_s:
> Bob
> >> > +PRICE_i:[20 TO 25]
> >> > [2]
> >> > https://blog.griddynamics.com/searching-grandchildren-and-
> >> > siblings-with-solr-block-join/
> >> >
> >> > Thanks!
> >> > Arturas
> >> >
> >> > On Wed, Apr 4, 2018 at 12:36 PM, Mikhail Khludnev <m...@apache.org>
> >> wrote:
> >> >
> >> > > q=+{!parent which=ntype:p v='+msg:Hello +person:Arturas'} +{!parent
> >> > which=
> >> > > ntype:p v='+msg:ciao +person:Vai'}
> >> > >
> >> > > On Wed, Apr 4, 2018 at 12:19 PM, Arturas Mazeika <maze...@gmail.com
> >
> >> > > wrote:
> >> > >
> >> > > > Hi Mikhail et al,
> >> > > >
> >> > > > It seems to me that the nested documents must include nodes that
> >> encode
> >> > > the
> >> > > > level of nodes (within the document). Therefore, the minimal
> example
> >> > must
> >> > > > include the node type. Is the following structure sufficient?
> >> > > >
> >> > > > {
> >> > > >     "id":1,
> >> > > >     "ntype":"p",
> >> > > >     "_childDocuments_":
> >> > > >     [
> >> > > >         {"id":"1_1", "ntype":"c", "person":"Vai",
>  "time":"3:14",
> >> > > > "msg":"Hello"},
> >> > > >         {"id":"1_2", "ntype":"c", "person":"Arturas",
> "time":"3:14",
> >> > > > "msg":"Hello"},
> >> > > >         {"id":"1_3", "ntype":"c", "person":"Vai",
>  "time":"3:15",
> >> > > > "msg":"Coz Mathias is working on another system- different
> >> screen."},
> >> > > >         {"id":"1_4", "ntype":"c", "person":"Vai",
>  "time":"3:15",
> >> > > > "msg":"It can get annoying"},
> >> > > >         {"id":"1_5", "ntype":"c", "person":"Arturas",
> "time":"3:15",
> >> > > > "msg":"Thank you. this is very nice of you"},
> >> > > >         {"id":"1_6", "ntype":"c", "person":"Vai",
>  "time":"3:16",
> >> > > > "msg":"ciao"},
> >> > > >         {"id":"1_7", "ntype":"c", "person":"Arturas",
> "time":"3:16",
> >> > > > "msg":"ciao"}
> >> > > >     ]
> >> > > > },
> >> > > > {
> >> > > >     "id":2,
> >> > > >     "ntype":"p",
> >> > > >     "_childDocuments_":
> >> > > >     [
> >> > > >         {"id":"2_1", "ntype":"c", "person":"Vai",
>  "time":"4:14",
> >> > > > "msg":"Hi"},
> >> > > >         {"id":"2_2", "ntype":"c", "person":"Arturas",
> "time":"4:14",
> >> > > > "msg":"IBM Watson"},
> >> > > >         {"id":"2_3", "ntype":"c", "person":"Vai",
>  "time":"4:15",
> >> > > > "msg":"need to retain content"},
> >> > > >         {"id":"2_4", "ntype":"c", "person":"Vai",
>  "time":"4:15",
> >> > > > "msg":"It can get annoying"},
> >> > > >         {"id":"2_5", "ntype":"c", "person":"Arturas",
> "time":"4:15",
> >> > > > "msg":"You can make all your meetings more access"},
> >> > > >         {"id":"2_6", "ntype":"c", "person":"Vai",
>  "time":"4:16",
> >> > > > "msg":"Make every meeting a Skype meeting"},
> >> > > >         {"id":"2_7", "ntype":"c", "person":"Arturas",
> "time":"4:16",
> >> > > > "msg":"ciao"}
> >> > > >     ]
> >> > > > }
> >> > > >
> >> > > > How would a query look like that has a Hello from Person Arturas
> and
> >> > ciao
> >> > > > from Person Vai?
> >> > > >
> >> > > > Cheers,
> >> > > > Arturas
> >> > > >
> >> > > >
> >> > > > On Tue, Apr 3, 2018 at 5:21 PM, Arturas Mazeika <
> maze...@gmail.com>
> >> > > wrote:
> >> > > >
> >> > > > > Hi Mikhail,
> >> > > > >
> >> > > > > Thanks a lot for the reply.
> >> > > > >
> >> > > > > You mentioned that
> >> > > > >
> >> > > > > q=+{!parent which.. v='+text:hello +person:A'} +{!parent
> >> > > > > which..v='+text:ciao +person:B'}
> >> > > > >
> >> > > > > is the way to go. How would it look like precisely for the
> >> following
> >> > > > > collection?
> >> > > > >
> >> > > > > {
> >> > > > >     "id":1,
> >> > > > >     "_childDocuments_":
> >> > > > >     [
> >> > > > >         {"id":"1_1", "person":"Vai"         , "time":"3:14",
> >> > > > > "msg":"Hello"},
> >> > > > >         {"id":"1_2", "person":"Arturas"     , "time":"3:14",
> >> > > > > "msg":"Hello"},
> >> > > > >         {"id":"1_3", "person":"Vai"         , "time":"3:15",
> >> > "msg":"Coz
> >> > > > > Mathias is working on another system- different screen."},
> >> > > > >         {"id":"1_4", "person":"Vai"         , "time":"3:15",
> >> > "msg":"It
> >> > > > can
> >> > > > > get annoying"},
> >> > > > >         {"id":"1_5", "person":"Arturas"     , "time":"3:15",
> >> > > "msg":"Thank
> >> > > > > you. this is very nice of you"},
> >> > > > >         {"id":"1_6", "person":"Vai"         , "time":"3:16",
> >> > > > "msg":"ciao"},
> >> > > > >         {"id":"1_7", "person":"Arturas"     , "time":"3:16",
> >> > > > "msg":"ciao"}
> >> > > > >     ]
> >> > > > > },
> >> > > > > {
> >> > > > >     "id":2,
> >> > > > >     "_childDocuments_":
> >> > > > >     [
> >> > > > >         {"id":"2_1", "person":"Vai"         , "time":"4:14",
> >> > > > > "msg":"Hello"},
> >> > > > >         {"id":"2_2", "person":"Arturas"     , "time":"4:14",
> >> > "msg":"IBM
> >> > > > > Watson"},
> >> > > > >         {"id":"2_3", "person":"Vai"         , "time":"4:15",
> >> > > "msg":"need
> >> > > > > to retain content"},
> >> > > > >         {"id":"2_4", "person":"Vai"         , "time":"4:15",
> >> > "msg":"It
> >> > > > can
> >> > > > > get annoying"},
> >> > > > >         {"id":"2_5", "person":"Arturas"     , "time":"4:15",
> >> > "msg":"You
> >> > > > > can make all your meetings more access"},
> >> > > > >         {"id":"2_6", "person":"Vai"         , "time":"4:16",
> >> > > "msg":"Make
> >> > > > > every meeting a Skype meeting"},
> >> > > > >         {"id":"2_7", "person":"Arturas"     , "time":"4:16",
> >> > > > "msg":"ciao"}
> >> > > > >     ]
> >> > > > > }
> >> > > > >
> >> > > > > Cheers,
> >> > > > > Arturas
> >> > > > >
> >> > > > >
> >> > > > > On Tue, Apr 3, 2018 at 4:33 PM, Mikhail Khludnev <
> m...@apache.org
> >> >
> >> > > > wrote:
> >> > > > >
> >> > > > >> Hello, Arturas.
> >> > > > >>
> >> > > > >> TLDR; Please find inline below.
> >> > > > >>
> >> > > > >> On Tue, Apr 3, 2018 at 5:14 PM, Arturas Mazeika <
> >> maze...@gmail.com>
> >> > > > >> wrote:
> >> > > > >>
> >> > > > >> > Hi Solr Fans,
> >> > > > >> >
> >> > > > >> > I am trying to make sense of information retrieval using
> >> > expressions
> >> > > > >> like
> >> > > > >> > "some parent", "*only parent*", " *all parent*". I am also
> >> trying
> >> > to
> >> > > > >> > understand the syntax "!parent which" and "!child of". On the
> >> > > > technical
> >> > > > >> > level, I am reading the following documents:
> >> > > > >> >
> >> > > > >> > [1]
> >> > > > >> > https://lucene.apache.org/solr/guide/7_2/other-parsers.
> >> > > > >> > html#block-join-query-parsers
> >> > > > >> > [2]
> >> > > > >> > https://lucene.apache.org/solr/guide/7_2/uploading-data-
> >> > > > >> > with-index-handlers.html#nested-child-documents
> >> > > > >> > [3] http://yonik.com/solr-nested-objects/
> >> > > > >> >
> >> > > > >> > and I am confused to read:
> >> > > > >> >
> >> > > > >> > This parser takes a query that matches some parent documents
> >> and
> >> > > > returns
> >> > > > >> > their children. The syntax for this parser is: q={!child
> >> > > > >> > of=<allParents>}<someParents>. The parameter allParents is a
> >> > filter
> >> > > > that
> >> > > > >> > matches *only parent documents*; here you would define the
> >> field
> >> > and
> >> > > > >> value
> >> > > > >> > that you used to identify *all parent documents*. The
> parameter
> >> > > > >> someParents
> >> > > > >> > identifies a query that will match some of the parent
> >> documents.
> >> > The
> >> > > > >> output
> >> > > > >> > is the children.
> >> > > > >> >
> >> > > > >> > The first sentence talks about "matching" but does not define
> >> what
> >> > > > that
> >> > > > >> > means (and why it is only some parents matching?). The second
> >> > > sentence
> >> > > > >> > introduces a syntax of the parser, but blurs the
> understanding
> >> as
> >> > > > "some"
> >> > > > >> > and "all" of parents are combined into one sentence. My
> >> > > understanding
> >> > > > is
> >> > > > >> > that all documents are retrieve that satisfy a query. The
> query
> >> > must
> >> > > > >> > express some constraints on the parent node and some on the
> >> child
> >> > > > node.
> >> > > > >> I
> >> > > > >> > have a feeling that "only parent documents" reads "criteria
> is
> >> > > > >> formulated
> >> > > > >> > over the parent part of {parent document}->{child document}
> of
> >> > > entity.
> >> > > > >> > My simplified conceptual world of solr looks in the following
> >> way:
> >> > > > >> >
> >> > > > >> > 1. Every document has an ID.
> >> > > > >> > 2. Every document may have additional attributes
> >> > > > >> > 3. Text attributes is what's at stake in solr. Sure we can
> >> search
> >> > > for
> >> > > > >> > products that costs at most X, but this is the added
> >> > functionality.
> >> > > > For
> >> > > > >> > simplicity I am neglecting those here.
> >> > > > >> > 4. The user has an information need. She expresses it with
> >> > > (key)words
> >> > > > >> and
> >> > > > >> > hopes to find matching documents. For simplicity, I am
> skipping
> >> > all
> >> > > > >> issues
> >> > > > >> > related to the information presentation of the documents
> >> > > > >> > 5. Analysis chain (and inverse index) are the key
> technologies
> >> > solr
> >> > > is
> >> > > > >> > based upon. Once the chain-processing is applied,
> mathematical
> >> > logic
> >> > > > >> kicks
> >> > > > >> > in, retrieving the documents (that are a set of processed,
> >> > > normalized,
> >> > > > >> > enriched tokens) matching the query (processed, normalized
> and
> >> > > > enriched
> >> > > > >> > tokens). Clearly, the logic function can be a fancy one (at
> >> least
> >> > > one
> >> > > > of
> >> > > > >> > query token is in the document set of tokens, etc.), ranking
> is
> >> > used
> >> > > > to
> >> > > > >> > sort the results.
> >> > > > >> > 6. A nested document concept is introduced in solr. It needs
> >> to be
> >> > > > >> uploaded
> >> > > > >> > into the index structure using a specific handlers [2]. A
> >> nested
> >> > > > >> documents
> >> > > > >> > is a tree. A root may contain children documents, which may
> be
> >> > > parents
> >> > > > >> of
> >> > > > >> > grandchildren documents.
> >> > > > >> > 7. Querying nested documents is supported in the following
> >> manner:
> >> > > > >> >     7.1 Child documents are return that satisfies {parent
> >> > > > >> > document}->{document}
> >> > > > >> >     7.2 Parent documents are return that satisfy
> >> > {document}->{child
> >> > > > >> > document}
> >> > > > >> >
> >> > > > >> > Would I be very wrong to have this conceptual picture?
> >> > > > >> >
> >> > > > >> > From this point, the situation is a bit bury in my head. At
> the
> >> > > core,
> >> > > > I
> >> > > > >> do
> >> > > > >> > not really understand what "a document" is anymore (since the
> >> > > complete
> >> > > > >> json
> >> > > > >> > or xml, so is a sub-json and sub-xml are documents, every
> >> document
> >> > > > must
> >> > > > >> > have an ID, does that meant the the subdocuments must have
> and
> >> ID
> >> > > too,
> >> > > > >> or
> >> > > > >> > sub-ids are also fine?), how to formulate mathematical
> >> expressions
> >> > > > over
> >> > > > >> > documents and what it means that the document satisfies my
> >> > (key)word
> >> > > > >> query?
> >> > > > >> > Can we define a document to be the largest entity of
> >> information
> >> > > that
> >> > > > >> does
> >> > > > >> > not contain any other nested documents [4]? If this is
> defined
> >> and
> >> > > > >> > communicated like this already where can I find it? There is
> a
> >> use
> >> > > of
> >> > > > >> the
> >> > > > >> > clarification, as the concept of the document means different
> >> > things
> >> > > > in
> >> > > > >> > different contexts (e.g., you can update only the "complete
> >> > > document"
> >> > > > in
> >> > > > >> > the index vs. parent document, etc.).
> >> > > > >> >
> >> > > > >> > Is it possible to formulate what's going on using
> mathematical
> >> > > logic?
> >> > > > >> Can
> >> > > > >> > one express something like
> >> > > > >> >
> >> > > > >> > { give documents d : d is a document, d is parent of document
> >> c, d
> >> > > > >> > satisfies logical criteria C1,....,CN, c satisfies logical
> >> > criteria
> >> > > > >> > C1',...,CM'}
> >> > > > >> > { give documents c : c is a document, d is parent of document
> >> c, d
> >> > > > >> > satisfies logical criteria C1,....,CN, c satisfies logical
> >> > criteria
> >> > > > >> > C1',...,CM'}
> >> > > > >> >
> >> > > > >> > here the meaning of document is as in definition [4] above.
> >> > > > >> >
> >> > > > >> > 1. Is it possible to retrieve all parent documents that have
> >> two
> >> > > > >> children
> >> > > > >> > c1 and c2? Consider a document that is a skype chat, and
> >> children
> >> > > are
> >> > > > >> > individual lines of communication in the chat. I would be
> >> looking
> >> > > for
> >> > > > >> the
> >> > > > >> > (parent) documents that have "hello" said by person A and
> >> "ciao"
> >> > > said
> >> > > > by
> >> > > > >> > person B (as two different sub-documents).
> >> > > > >> >
> >> > > > >>
> >> > > > >> q=+{!parent which.. v='+text:hello +person:A'} +{!parent
> which..
> >> > > > >> v='+text:ciao +person:B'}
> >> > > > >> The query syntax is really tricky and cumbersome.
> >> > > > >>
> >> > > > >>
> >> > > > >> >
> >> > > > >> > 2. Is it possible to search for documents such that they
> have a
> >> > > > >> grandchild
> >> > > > >> > and the grandchild has the word "hello"?
> >> > > > >> >
> >> > > > >>
> >> > > > >> http://blog-archive.griddynamics.com/2013/12/grandchildren-
> >> > > > >> and-siblings-with-block.html
> >> > > > >>
> >> > > > >>
> >> > > > >> >
> >> > > > >> > 3. Is it possible to search for documents that do not have
> >> > children?
> >> > > > >> >
> >> > > > >> q=-{!parent which..}type:child
> >> > > > >> Beware that mixing parents and childfree products is not
> >> supported
> >> > and
> >> > > > >> causes pain. as a workaround you need to put empty child
> >> placeholder
> >> > > > doc.
> >> > > > >> Sic. Sorry.
> >> > > > >>
> >> > > > >>
> >> > > > >> > Is this the right venue to discuss documentation of solr?
> >> > > > >> >
> >> > > > >> > Thanks!
> >> > > > >> > Arturas
> >> > > > >> >
> >> > > > >>
> >> > > > >>
> >> > > > >>
> >> > > > >> --
> >> > > > >> Sincerely yours
> >> > > > >> Mikhail Khludnev
> >> > > > >>
> >> > > > >
> >> > > > >
> >> > > >
> >> > >
> >> > >
> >> > >
> >> > > --
> >> > > Sincerely yours
> >> > > Mikhail Khludnev
> >> > >
> >> >
> >>
> >>
> >>
> >> --
> >> Sincerely yours
> >> Mikhail Khludnev
> >>
> >
> >
>



-- 
Sincerely yours
Mikhail Khludnev

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