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/** @file queryinternal.cc
* @brief Xapian::Query internals
*/
/* Copyright (C) 2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017 Olly Betts
* Copyright (C) 2008,2009 Lemur Consulting Ltd
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License as
* published by the Free Software Foundation; either version 2 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include <config.h>
#include "queryinternal.h"
#include "xapian/error.h"
#include "xapian/postingsource.h"
#include "xapian/query.h"
#include "leafpostlist.h"
#include "matcher/andmaybepostlist.h"
#include "matcher/andnotpostlist.h"
#include "emptypostlist.h"
#include "matcher/exactphrasepostlist.h"
#include "matcher/externalpostlist.h"
#include "matcher/maxpostlist.h"
#include "matcher/multiandpostlist.h"
#include "matcher/multixorpostlist.h"
#include "matcher/nearpostlist.h"
#include "matcher/orpospostlist.h"
#include "matcher/orpostlist.h"
#include "matcher/phrasepostlist.h"
#include "matcher/queryoptimiser.h"
#include "matcher/valuerangepostlist.h"
#include "matcher/valuegepostlist.h"
#include "net/length.h"
#include "serialise-double.h"
#include "termlist.h"
#include "autoptr.h"
#include "debuglog.h"
#include "omassert.h"
#include "str.h"
#include "unicode/description_append.h"
#include <algorithm>
#include <functional>
#include <list>
#include <string>
#include <vector>
using namespace std;
template<class CLASS> struct delete_ptr {
void operator()(CLASS *p) const { delete p; }
};
using Xapian::Internal::AndContext;
using Xapian::Internal::OrContext;
using Xapian::Internal::XorContext;
namespace Xapian {
namespace Internal {
/** Class providing an operator which sorts postlists to select max or terms.
* This returns true if a has a (strictly) greater termweight than b,
* unless a or b contain no documents, in which case the other one is
* selected.
*/
struct CmpMaxOrTerms {
/** Return true if and only if a has a strictly greater termweight than b. */
bool operator()(const PostList *a, const PostList *b) {
#if (defined(__i386__) && !defined(__SSE_MATH__)) || \
defined(__mc68000__) || defined(__mc68010__) || \
defined(__mc68020__) || defined(__mc68030__)
// On some architectures, most common of which is x86, floating point
// values are calculated and stored in registers with excess precision.
// If the two get_maxweight() calls below return identical values in a
// register, the excess precision may be dropped for one of them but
// not the other (e.g. because the compiler saves the first calculated
// weight to memory while calculating the second, then reloads it to
// compare). This leads to both a > b and b > a being true, which
// violates the antisymmetry property of the strict weak ordering
// required by nth_element(). This can have serious consequences (e.g.
// segfaults).
//
// Note that m68k only has excess precision in earlier models - 68040
// and later are OK:
// http://gcc.gnu.org/ml/gcc-patches/2008-11/msg00105.html
//
// To avoid this, we store each result in a volatile double prior to
// comparing them. This means that the result of this test should
// match that on other architectures with the same double format (which
// is desirable), and actually has less overhead than rounding both
// results to float (which is another approach which works).
volatile double a_max_wt = a->get_maxweight();
volatile double b_max_wt = b->get_maxweight();
return a_max_wt > b_max_wt;
#else
return a->get_maxweight() > b->get_maxweight();
#endif
}
};
/// Comparison functor which orders PostList* by descending get_termfreq_est().
struct ComparePostListTermFreqAscending {
/// Order by descending get_termfreq_est().
bool operator()(const PostList *a, const PostList *b) const {
return a->get_termfreq_est() > b->get_termfreq_est();
}
};
class Context {
protected:
vector<PostList*> pls;
public:
explicit Context(size_t reserve);
~Context();
void add_postlist(PostList * pl) {
pls.push_back(pl);
}
bool empty() const {
return pls.empty();
}
size_t size() const {
return pls.size();
}
void reset();
};
Context::Context(size_t reserve) {
pls.reserve(reserve);
}
void
Context::reset()
{
for_each(pls.begin(), pls.end(), delete_ptr<PostList>());
pls.clear();
}
Context::~Context()
{
reset();
}
class OrContext : public Context {
public:
explicit OrContext(size_t reserve) : Context(reserve) { }
/// Select the best set_size postlists from the last out_of added.
void select_elite_set(QueryOptimiser * qopt,
size_t set_size, size_t out_of);
/// Select the set_size postlists with the highest term frequency.
void select_most_frequent(QueryOptimiser * qopt, size_t set_size);
PostList * postlist(QueryOptimiser* qopt);
PostList * postlist_max(QueryOptimiser* qopt);
};
void
OrContext::select_elite_set(QueryOptimiser * qopt,
size_t set_size, size_t out_of)
{
// Call recalc_maxweight() as otherwise get_maxweight()
// may not be valid before next() or skip_to()
vector<PostList*>::iterator begin = pls.begin() + pls.size() - out_of;
for_each(begin, pls.end(), mem_fun(&PostList::recalc_maxweight));
nth_element(begin, begin + set_size - 1, pls.end(), CmpMaxOrTerms());
const PostList * hint_pl = qopt->get_hint_postlist();
for_each(begin + set_size, pls.end(),
[&qopt, &hint_pl](const PostList * p) {
if (rare(p == hint_pl)) {
qopt->take_hint_ownership();
hint_pl = NULL;
} else {
delete p;
}
});
pls.resize(pls.size() - out_of + set_size);
}
void
OrContext::select_most_frequent(QueryOptimiser * qopt, size_t set_size)
{
vector<PostList*>::iterator begin = pls.begin();
nth_element(begin, begin + set_size - 1, pls.end(),
ComparePostListTermFreqAscending());
const PostList * hint_pl = qopt->get_hint_postlist();
for_each(begin + set_size, pls.end(),
[&qopt, &hint_pl](const PostList * p) {
if (rare(p == hint_pl)) {
qopt->take_hint_ownership();
hint_pl = NULL;
} else {
delete p;
}
});
pls.resize(set_size);
}
PostList *
OrContext::postlist(QueryOptimiser* qopt)
{
Assert(!pls.empty());
if (pls.size() == 1) {
PostList * pl = pls[0];
pls.clear();
return pl;
}
// Make postlists into a heap so that the postlist with the greatest term
// frequency is at the top of the heap.
make_heap(pls.begin(), pls.end(), ComparePostListTermFreqAscending());
// Now build a tree of binary OrPostList objects.
//
// The algorithm used to build the tree is like that used to build an
// optimal Huffman coding tree. If we called next() repeatedly, this
// arrangement would minimise the number of method calls. Generally we
// don't actually do that, but this arrangement is still likely to be a
// good one, and it does minimise the work in the worst case.
while (true) {
// We build the tree such that at each branch:
//
// l.get_termfreq_est() >= r.get_termfreq_est()
//
// We do this so that the OrPostList class can be optimised assuming
// that this is the case.
PostList * r = pls.front();
pop_heap(pls.begin(), pls.end(), ComparePostListTermFreqAscending());
pls.pop_back();
PostList * pl;
pl = new OrPostList(pls.front(), r, qopt->matcher, qopt->db_size);
if (pls.size() == 1) {
pls.clear();
return pl;
}
pop_heap(pls.begin(), pls.end(), ComparePostListTermFreqAscending());
pls.back() = pl;
push_heap(pls.begin(), pls.end(), ComparePostListTermFreqAscending());
}
}
PostList *
OrContext::postlist_max(QueryOptimiser* qopt)
{
Assert(!pls.empty());
if (pls.size() == 1) {
PostList * pl = pls[0];
pls.clear();
return pl;
}
// Sort the postlists so that the postlist with the greatest term frequency
// is first.
sort(pls.begin(), pls.end(), ComparePostListTermFreqAscending());
PostList * pl;
pl = new MaxPostList(pls.begin(), pls.end(), qopt->matcher, qopt->db_size);
pls.clear();
return pl;
}
class XorContext : public Context {
public:
explicit XorContext(size_t reserve) : Context(reserve) { }
PostList * postlist(QueryOptimiser* qopt);
};
PostList *
XorContext::postlist(QueryOptimiser* qopt)
{
Xapian::doccount db_size = qopt->db_size;
PostList * pl;
pl = new MultiXorPostList(pls.begin(), pls.end(), qopt->matcher, db_size);
// Empty pls so our destructor doesn't delete them all!
pls.clear();
return pl;
}
class AndContext : public Context {
class PosFilter {
Xapian::Query::op op_;
/// Start and end indices for the PostLists this positional filter uses.
size_t begin, end;
Xapian::termcount window;
public:
PosFilter(Xapian::Query::op op__, size_t begin_, size_t end_,
Xapian::termcount window_)
: op_(op__), begin(begin_), end(end_), window(window_) { }
PostList * postlist(PostList * pl, const vector<PostList*>& pls) const;
};
list<PosFilter> pos_filters;
public:
explicit AndContext(size_t reserve) : Context(reserve) { }
void add_pos_filter(Query::op op_,
size_t n_subqs,
Xapian::termcount window);
PostList * postlist(QueryOptimiser* qopt);
};
PostList *
AndContext::PosFilter::postlist(PostList * pl, const vector<PostList*>& pls) const
try {
vector<PostList *>::const_iterator terms_begin = pls.begin() + begin;
vector<PostList *>::const_iterator terms_end = pls.begin() + end;
if (op_ == Xapian::Query::OP_NEAR) {
pl = new NearPostList(pl, window, terms_begin, terms_end);
} else if (window == end - begin) {
AssertEq(op_, Xapian::Query::OP_PHRASE);
pl = new ExactPhrasePostList(pl, terms_begin, terms_end);
} else {
AssertEq(op_, Xapian::Query::OP_PHRASE);
pl = new PhrasePostList(pl, window, terms_begin, terms_end);
}
return pl;
} catch (...) {
delete pl;
throw;
}
void
AndContext::add_pos_filter(Query::op op_,
size_t n_subqs,
Xapian::termcount window)
{
Assert(n_subqs > 1);
size_t end = pls.size();
size_t begin = end - n_subqs;
pos_filters.push_back(PosFilter(op_, begin, end, window));
}
PostList *
AndContext::postlist(QueryOptimiser* qopt)
{
if (pls.empty()) {
// This case only happens if this sub-database has no positional data
// (but another sub-database does).
Assert(pos_filters.empty());
return new EmptyPostList;
}
AutoPtr<PostList> pl(new MultiAndPostList(pls.begin(), pls.end(),
qopt->matcher, qopt->db_size));
// Sort the positional filters to try to apply them in an efficient order.
// FIXME: We need to figure out what that is! Try applying lowest cf/tf
// first?
// Apply any positional filters.
list<PosFilter>::const_iterator i;
for (i = pos_filters.begin(); i != pos_filters.end(); ++i) {
const PosFilter & filter = *i;
pl.reset(filter.postlist(pl.release(), pls));
}
// Empty pls so our destructor doesn't delete them all!
pls.clear();
return pl.release();
}
}
Query::Internal::~Internal() { }
size_t
Query::Internal::get_num_subqueries() const XAPIAN_NOEXCEPT
{
return 0;
}
const Query
Query::Internal::get_subquery(size_t) const
{
throw Xapian::InvalidArgumentError("get_subquery() not meaningful for this Query object");
}
void
Query::Internal::gather_terms(void *) const
{
}
Xapian::termcount
Query::Internal::get_length() const XAPIAN_NOEXCEPT
{
return 0;
}
Query::Internal *
Query::Internal::unserialise(const char ** p, const char * end,
const Registry & reg)
{
if (*p == end)
return NULL;
unsigned char ch = *(*p)++;
switch (ch >> 5) {
case 4: case 5: case 6: case 7: {
// Multi-way branch
//
// 1ccccnnn where:
// nnn -> n_subqs (0 means encoded value follows)
// cccc -> code (which OP_XXX)
size_t n_subqs = ch & 0x07;
if (n_subqs == 0) {
decode_length(p, end, n_subqs);
n_subqs += 8;
}
unsigned char code = (ch >> 3) & 0x0f;
Xapian::termcount parameter = 0;
if (code >= 13)
decode_length(p, end, parameter);
Xapian::Internal::QueryBranch * result;
switch (code) {
case 0: // OP_AND
result = new Xapian::Internal::QueryAnd(n_subqs);
break;
case 1: // OP_OR
result = new Xapian::Internal::QueryOr(n_subqs);
break;
case 2: // OP_AND_NOT
result = new Xapian::Internal::QueryAndNot(n_subqs);
break;
case 3: // OP_XOR
result = new Xapian::Internal::QueryXor(n_subqs);
break;
case 4: // OP_AND_MAYBE
result = new Xapian::Internal::QueryAndMaybe(n_subqs);
break;
case 5: // OP_FILTER
result = new Xapian::Internal::QueryFilter(n_subqs);
break;
case 6: // OP_SYNONYM
result = new Xapian::Internal::QuerySynonym(n_subqs);
break;
case 7: // OP_MAX
result = new Xapian::Internal::QueryMax(n_subqs);
break;
case 13: // OP_ELITE_SET
result = new Xapian::Internal::QueryEliteSet(n_subqs,
parameter);
break;
case 14: // OP_NEAR
result = new Xapian::Internal::QueryNear(n_subqs,
parameter);
break;
case 15: // OP_PHRASE
result = new Xapian::Internal::QueryPhrase(n_subqs,
parameter);
break;
default:
// 8 to 12 are currently unused.
throw SerialisationError("Unknown multi-way branch Query operator");
}
do {
result->add_subquery(Xapian::Query(unserialise(p, end, reg)));
} while (--n_subqs);
result->done();
return result;
}
case 2: case 3: { // Term
// Term
//
// 01ccLLLL where:
// LLLL -> length (0 means encoded value follows)
// cc -> code:
// 0: wqf = 0; pos = 0
// 1: wqf = 1; pos = 0
// 2: wqf = 1; pos -> encoded value follows
// 3: wqf -> encoded value follows; pos -> encoded value follows
size_t len = ch & 0x0f;
if (len == 0) {
decode_length(p, end, len);
len += 16;
}
if (size_t(end - *p) < len)
throw SerialisationError("Not enough data");
string term(*p, len);
*p += len;
int code = ((ch >> 4) & 0x03);
Xapian::termcount wqf = static_cast<Xapian::termcount>(code > 0);
if (code == 3)
decode_length(p, end, wqf);
Xapian::termpos pos = 0;
if (code >= 2)
decode_length(p, end, pos);
return new Xapian::Internal::QueryTerm(term, wqf, pos);
}
case 1: {
// OP_VALUE_RANGE or OP_VALUE_GE or OP_VALUE_LE
//
// 001tssss where:
// ssss -> slot number (15 means encoded value follows)
// t -> op:
// 0: OP_VALUE_RANGE (or OP_VALUE_LE if begin empty)
// 1: OP_VALUE_GE
Xapian::valueno slot = ch & 15;
if (slot == 15) {
decode_length(p, end, slot);
slot += 15;
}
size_t len;
decode_length_and_check(p, end, len);
string begin(*p, len);
*p += len;
if (ch & 0x10) {
// OP_VALUE_GE
return new Xapian::Internal::QueryValueGE(slot, begin);
}
// OP_VALUE_RANGE
decode_length_and_check(p, end, len);
string end_(*p, len);
*p += len;
if (begin.empty()) // FIXME: is this right?
return new Xapian::Internal::QueryValueLE(slot, end_);
return new Xapian::Internal::QueryValueRange(slot, begin, end_);
}
case 0: {
// Other operators
//
// 000ttttt where:
// ttttt -> encodes which OP_XXX
switch (ch & 0x1f) {
case 0x00: // OP_INVALID
return new Xapian::Internal::QueryInvalid();
case 0x0b: { // Wildcard
if (*p == end)
throw SerialisationError("not enough data");
Xapian::termcount max_expansion;
decode_length(p, end, max_expansion);
if (end - *p < 2)
throw SerialisationError("not enough data");
int max_type = static_cast<unsigned char>(*(*p)++);
op combiner = static_cast<op>(*(*p)++);
size_t len;
decode_length_and_check(p, end, len);
string pattern(*p, len);
*p += len;
return new Xapian::Internal::QueryWildcard(pattern,
max_expansion,
max_type,
combiner);
}
case 0x0c: { // PostingSource
size_t len;
decode_length_and_check(p, end, len);
string name(*p, len);
*p += len;
const PostingSource * reg_source = reg.get_posting_source(name);
if (!reg_source) {
string m = "PostingSource ";
m += name;
m += " not registered";
throw SerialisationError(m);
}
decode_length_and_check(p, end, len);
PostingSource * source =
reg_source->unserialise_with_registry(string(*p, len),
reg);
*p += len;
return new Xapian::Internal::QueryPostingSource(source->release());
}
case 0x0d: {
using Xapian::Internal::QueryScaleWeight;
double scale_factor = unserialise_double(p, end);
return new QueryScaleWeight(scale_factor,
Query(unserialise(p, end, reg)));
}
case 0x0e: {
Xapian::termcount wqf;
Xapian::termpos pos;
decode_length(p, end, wqf);
decode_length(p, end, pos);
return new Xapian::Internal::QueryTerm(string(), wqf, pos);
}
case 0x0f:
return Query::MatchAll.internal.get();
default: // Others currently unused.
break;
}
break;
}
}
string msg = "Unknown Query serialisation: ";
msg += str(ch);
throw SerialisationError(msg);
}
void
Query::Internal::postlist_sub_and_like(AndContext& ctx,
QueryOptimiser * qopt,
double factor) const
{
ctx.add_postlist(postlist(qopt, factor));
}
void
Query::Internal::postlist_sub_or_like(OrContext& ctx,
QueryOptimiser * qopt,
double factor) const
{
ctx.add_postlist(postlist(qopt, factor));
}
void
Query::Internal::postlist_sub_xor(XorContext& ctx,
QueryOptimiser * qopt,
double factor) const
{
ctx.add_postlist(postlist(qopt, factor));
}
namespace Internal {
Query::op
QueryTerm::get_type() const XAPIAN_NOEXCEPT
{
return term.empty() ? Query::LEAF_MATCH_ALL : Query::LEAF_TERM;
}
string
QueryTerm::get_description() const
{
string desc;
if (term.empty()) {
desc = "<alldocuments>";
} else {
description_append(desc, term);
}
if (wqf != 1) {
desc += '#';
desc += str(wqf);
}
if (pos) {
desc += '@';
desc += str(pos);
}
return desc;
}
QueryPostingSource::QueryPostingSource(PostingSource * source_)
: source(source_)
{
if (!source_)
throw Xapian::InvalidArgumentError("source parameter can't be NULL");
if (source->_refs == 0) {
// source_ isn't reference counted, so try to clone it. If clone()
// isn't implemented, just use the object provided and it's the
// caller's responsibility to ensure it stays valid while in use.
PostingSource * cloned_source = source->clone();
if (cloned_source) source = cloned_source->release();
}
}
Query::op
QueryPostingSource::get_type() const XAPIAN_NOEXCEPT
{
return Query::LEAF_POSTING_SOURCE;
}
string
QueryPostingSource::get_description() const
{
string desc = "PostingSource(";
desc += source->get_description();
desc += ')';
return desc;
}
QueryScaleWeight::QueryScaleWeight(double factor, const Query & subquery_)
: scale_factor(factor), subquery(subquery_)
{
if (rare(scale_factor < 0.0))
throw Xapian::InvalidArgumentError("OP_SCALE_WEIGHT requires factor >= 0");
}
Query::op
QueryScaleWeight::get_type() const XAPIAN_NOEXCEPT
{
return Query::OP_SCALE_WEIGHT;
}
size_t
QueryScaleWeight::get_num_subqueries() const XAPIAN_NOEXCEPT
{
return 1;
}
const Query
QueryScaleWeight::get_subquery(size_t) const
{
return subquery;
}
string
QueryScaleWeight::get_description() const
{
Assert(subquery.internal.get());
string desc = str(scale_factor);
desc += " * ";
desc += subquery.internal->get_description();
return desc;
}
PostingIterator::Internal *
QueryTerm::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryTerm::postlist", qopt | factor);
if (factor != 0.0)
qopt->inc_total_subqs();
RETURN(qopt->open_post_list(term, wqf, factor));
}
PostingIterator::Internal *
QueryPostingSource::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryPostingSource::postlist", qopt | factor);
Assert(source.get());
if (factor != 0.0)
qopt->inc_total_subqs();
// Casting away const on the Database::Internal here is OK, as we wrap
// them in a const Xapian::Database so non-const methods can't actually
// be called on the Database::Internal object.
const Xapian::Database wrappeddb(
const_cast<Xapian::Database::Internal*>(&(qopt->db)));
RETURN(new ExternalPostList(wrappeddb, source.get(), factor, qopt->matcher));
}
PostingIterator::Internal *
QueryScaleWeight::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryScaleWeight::postlist", qopt | factor);
RETURN(subquery.internal->postlist(qopt, factor * scale_factor));
}
void
QueryTerm::gather_terms(void * void_terms) const
{
// Skip Xapian::Query::MatchAll (aka Xapian::Query("")).
if (!term.empty()) {
vector<pair<Xapian::termpos, string> > &terms =
*static_cast<vector<pair<Xapian::termpos, string> >*>(void_terms);
terms.push_back(make_pair(pos, term));
}
}
PostingIterator::Internal *
QueryValueRange::postlist(QueryOptimiser *qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryValueRange::postlist", qopt | factor);
if (factor != 0.0)
qopt->inc_total_subqs();
const Xapian::Database::Internal & db = qopt->db;
const string & lb = db.get_value_lower_bound(slot);
// If lb.empty(), the backend doesn't provide value bounds.
if (!lb.empty()) {
if (end < lb) {
RETURN(new EmptyPostList);
}
const string & ub = db.get_value_upper_bound(slot);
if (begin > ub) {
RETURN(new EmptyPostList);
}
if (end >= ub) {
// If begin <= lb too, then the range check isn't needed, but we do
// still need to consider which documents have a value set in this
// slot. If this value is set for all documents, we can replace it
// with the MatchAll postlist, which is especially efficient if
// there are no gaps in the docids.
if (begin <= lb && db.get_value_freq(slot) == db.get_doccount()) {
RETURN(db.open_post_list(string()));
}
RETURN(new ValueGePostList(&db, slot, begin));
}
}
RETURN(new ValueRangePostList(&db, slot, begin, end));
}
void
QueryValueRange::serialise(string & result) const
{
if (slot < 15) {
result += static_cast<char>(0x20 | slot);
} else {
result += static_cast<char>(0x20 | 15);
result += encode_length(slot - 15);
}
result += encode_length(begin.size());
result += begin;
result += encode_length(end.size());
result += end;
}
Query::op
QueryValueRange::get_type() const XAPIAN_NOEXCEPT
{
return Query::OP_VALUE_RANGE;
}
string
QueryValueRange::get_description() const
{
string desc = "VALUE_RANGE ";
desc += str(slot);
desc += ' ';
description_append(desc, begin);
desc += ' ';
description_append(desc, end);
return desc;
}
PostingIterator::Internal *
QueryValueLE::postlist(QueryOptimiser *qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryValueLE::postlist", qopt | factor);
if (factor != 0.0)
qopt->inc_total_subqs();
const Xapian::Database::Internal & db = qopt->db;
const string & lb = db.get_value_lower_bound(slot);
// If lb.empty(), the backend doesn't provide value bounds.
if (!lb.empty()) {
if (limit < lb) {
RETURN(new EmptyPostList);
}
if (limit >= db.get_value_upper_bound(slot)) {
// The range check isn't needed, but we do still need to consider
// which documents have a value set in this slot. If this value is
// set for all documents, we can replace it with the MatchAll
// postlist, which is especially efficient if there are no gaps in
// the docids.
if (db.get_value_freq(slot) == db.get_doccount()) {
RETURN(db.open_post_list(string()));
}
}
}
RETURN(new ValueRangePostList(&db, slot, string(), limit));
}
void
QueryValueLE::serialise(string & result) const
{
// Encode as a range with an empty start (which only takes a single byte to
// encode).
if (slot < 15) {
result += static_cast<char>(0x20 | slot);
} else {
result += static_cast<char>(0x20 | 15);
result += encode_length(slot - 15);
}
result += encode_length(0);
result += encode_length(limit.size());
result += limit;
}
Query::op
QueryValueLE::get_type() const XAPIAN_NOEXCEPT
{
return Query::OP_VALUE_LE;
}
string
QueryValueLE::get_description() const
{
string desc = "VALUE_LE ";
desc += str(slot);
desc += ' ';
description_append(desc, limit);
return desc;
}
PostingIterator::Internal *
QueryValueGE::postlist(QueryOptimiser *qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryValueGE::postlist", qopt | factor);
if (factor != 0.0)
qopt->inc_total_subqs();
const Xapian::Database::Internal & db = qopt->db;
const string & lb = db.get_value_lower_bound(slot);
// If lb.empty(), the backend doesn't provide value bounds.
if (!lb.empty()) {
if (limit > db.get_value_upper_bound(slot)) {
RETURN(new EmptyPostList);
}
if (limit < lb) {
// The range check isn't needed, but we do still need to consider
// which documents have a value set in this slot. If this value is
// set for all documents, we can replace it with the MatchAll
// postlist, which is especially efficient if there are no gaps in
// the docids.
if (db.get_value_freq(slot) == db.get_doccount()) {
RETURN(db.open_post_list(string()));
}
}
}
RETURN(new ValueGePostList(&db, slot, limit));
}
void
QueryValueGE::serialise(string & result) const
{
if (slot < 15) {
result += static_cast<char>(0x20 | 0x10 | slot);
} else {
result += static_cast<char>(0x20 | 0x10 | 15);
result += encode_length(slot - 15);
}
result += encode_length(limit.size());
result += limit;
}
Query::op
QueryValueGE::get_type() const XAPIAN_NOEXCEPT
{
return Query::OP_VALUE_GE;
}
string
QueryValueGE::get_description() const
{
string desc = "VALUE_GE ";
desc += str(slot);
desc += ' ';
description_append(desc, limit);
return desc;
}
PostingIterator::Internal *
QueryWildcard::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryWildcard::postlist", qopt | factor);
Query::op op = combiner;
double or_factor = 0.0;
if (factor == 0.0) {
// If we have a factor of 0, we don't care about the weights, so
// we're just like a normal OR query.
op = Query::OP_OR;
} else if (op != Query::OP_SYNONYM) {
or_factor = factor;
}
bool old_in_synonym = qopt->in_synonym;
if (!old_in_synonym) {
qopt->in_synonym = (op == Query::OP_SYNONYM);
}
OrContext ctx(0);
AutoPtr<TermList> t(qopt->db.open_allterms(pattern));
Xapian::termcount expansions_left = max_expansion;
// If there's no expansion limit, set expansions_left to the maximum
// value Xapian::termcount can hold.
if (expansions_left == 0)
--expansions_left;
while (true) {
t->next();
if (t->at_end())
break;
if (max_type < Xapian::Query::WILDCARD_LIMIT_MOST_FREQUENT) {
if (expansions_left-- == 0) {
if (max_type == Xapian::Query::WILDCARD_LIMIT_FIRST)
break;
string msg("Wildcard ");
msg += pattern;
msg += "* expands to more than ";
msg += str(max_expansion);
msg += " terms";
throw Xapian::WildcardError(msg);
}
}
const string & term = t->get_termname();
ctx.add_postlist(qopt->open_lazy_post_list(term, 1, or_factor));
}
if (max_type == Xapian::Query::WILDCARD_LIMIT_MOST_FREQUENT) {
// FIXME: open_lazy_post_list() results in the term getting registered
// for stats, so we still incur an avoidable cost from the full
// expansion size of the wildcard, which is most likely to be visible
// with the remote backend. Perhaps we should split creating the lazy
// postlist from registering the term for stats.
if (ctx.size() > max_expansion)
ctx.select_most_frequent(qopt, max_expansion);
}
if (factor != 0.0) {
if (op != Query::OP_SYNONYM) {
qopt->set_total_subqs(qopt->get_total_subqs() + ctx.size());
} else {
qopt->inc_total_subqs();
}
}
qopt->in_synonym = old_in_synonym;
if (ctx.empty())
RETURN(new EmptyPostList);
if (op == Query::OP_MAX)
RETURN(ctx.postlist_max(qopt));
PostList * pl = ctx.postlist(qopt);
if (op == Query::OP_OR)
RETURN(pl);
// We build an OP_OR tree for OP_SYNONYM and then wrap it in a
// SynonymPostList, which supplies the weights.
PostingIterator::Internal * r = qopt->make_synonym_postlist(pl, factor);
RETURN(r);
}
termcount
QueryWildcard::get_length() const XAPIAN_NOEXCEPT
{
// We currently assume wqf is 1 for calculating the synonym's weight
// since conceptually the synonym is one "virtual" term. If we were
// to combine multiple occurrences of the same synonym expansion into
// a single instance with wqf set, we would want to track the wqf.
return 1;
}
void
QueryWildcard::serialise(string & result) const
{
result += static_cast<char>(0x0b);
result += encode_length(max_expansion);
result += static_cast<unsigned char>(max_type);
result += static_cast<unsigned char>(combiner);
result += encode_length(pattern.size());
result += pattern;
}
Query::op
QueryWildcard::get_type() const XAPIAN_NOEXCEPT
{
return Query::OP_WILDCARD;
}
string
QueryWildcard::get_description() const
{
string desc = "WILDCARD ";
switch (combiner) {
case Query::OP_SYNONYM:
desc += "SYNONYM ";
break;
case Query::OP_MAX:
desc += "MAX ";
break;
case Query::OP_OR:
desc += "OR ";
break;
default:
desc += "BAD ";
break;
}
description_append(desc, pattern);
return desc;
}
Xapian::termcount
QueryBranch::get_length() const XAPIAN_NOEXCEPT
{
// Sum results from all subqueries.
Xapian::termcount result = 0;
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done(), but we
// can't use Assert in a XAPIAN_NOEXCEPT function. But we'll get a
// segfault anyway.
result += (*i).internal->get_length();
}
return result;
}
#define MULTIWAY(X) static_cast<unsigned char>(0x80 | (X) << 3)
#define MISC(X) static_cast<unsigned char>(X)
void
QueryBranch::serialise_(string & result, Xapian::termcount parameter) const
{
static const unsigned char first_byte[] = {
MULTIWAY(0), // OP_AND
MULTIWAY(1), // OP_OR
MULTIWAY(2), // OP_AND_NOT
MULTIWAY(3), // OP_XOR
MULTIWAY(4), // OP_AND_MAYBE
MULTIWAY(5), // OP_FILTER
MULTIWAY(14), // OP_NEAR
MULTIWAY(15), // OP_PHRASE
0, // OP_VALUE_RANGE
MISC(3), // OP_SCALE_WEIGHT
MULTIWAY(13), // OP_ELITE_SET
0, // OP_VALUE_GE
0, // OP_VALUE_LE
MULTIWAY(6), // OP_SYNONYM
MULTIWAY(7) // OP_MAX
};
Xapian::Query::op op_ = get_op();
AssertRel(size_t(op_),<,sizeof(first_byte));
unsigned char ch = first_byte[op_];
if (ch & 0x80) {
// Multi-way operator.
if (subqueries.size() < 8)
ch |= subqueries.size();
result += ch;
if (subqueries.size() >= 8)
result += encode_length(subqueries.size() - 8);
if (ch >= MULTIWAY(13))
result += encode_length(parameter);
} else {
result += ch;
}
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
(*i).internal->serialise(result);
}
// For OP_NEAR, OP_PHRASE, and OP_ELITE_SET, the window/set size gets
// appended next by an overloaded serialise() method in the subclass.
}
void
QueryBranch::serialise(string & result) const
{
QueryBranch::serialise_(result);
}
void
QueryNear::serialise(string & result) const
{
// FIXME: window - subqueries.size() ?
QueryBranch::serialise_(result, window);
}
void
QueryPhrase::serialise(string & result) const
{
// FIXME: window - subqueries.size() ?
QueryBranch::serialise_(result, window);
}
void
QueryEliteSet::serialise(string & result) const
{
// FIXME: set_size - subqueries.size() ?
QueryBranch::serialise_(result, set_size);
}
void
QueryBranch::gather_terms(void * void_terms) const
{
// Gather results from all subqueries.
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
(*i).internal->gather_terms(void_terms);
}
}
void
QueryBranch::do_or_like(OrContext& ctx, QueryOptimiser * qopt, double factor,
Xapian::termcount elite_set_size, size_t first) const
{
LOGCALL_VOID(MATCH, "QueryBranch::do_or_like", ctx | qopt | factor | elite_set_size);
// FIXME: we could optimise by merging OP_ELITE_SET and OP_OR like we do
// for AND-like operations.
// OP_SYNONYM with a single subquery is only simplified by
// QuerySynonym::done() if the single subquery is a term or MatchAll.
Assert(subqueries.size() >= 2 || get_op() == Query::OP_SYNONYM);
vector<PostList *> postlists;
postlists.reserve(subqueries.size() - first);
QueryVector::const_iterator q;
for (q = subqueries.begin() + first; q != subqueries.end(); ++q) {
// MatchNothing subqueries should have been removed by done().
Assert((*q).internal.get());
(*q).internal->postlist_sub_or_like(ctx, qopt, factor);
}
if (elite_set_size && elite_set_size < subqueries.size()) {
ctx.select_elite_set(qopt, elite_set_size, subqueries.size());
// FIXME: not right!
}
}
PostList *
QueryBranch::do_synonym(QueryOptimiser * qopt, double factor) const
{
LOGCALL(MATCH, PostList *, "QueryBranch::do_synonym", qopt | factor);
OrContext ctx(subqueries.size());
if (factor == 0.0) {
// If we have a factor of 0, we don't care about the weights, so
// we're just like a normal OR query.
do_or_like(ctx, qopt, 0.0);
return ctx.postlist(qopt);
}
bool old_in_synonym = qopt->in_synonym;
qopt->in_synonym = true;
do_or_like(ctx, qopt, 0.0);
PostList * pl = ctx.postlist(qopt);
qopt->in_synonym = old_in_synonym;
// We currently assume wqf is 1 for calculating the synonym's weight
// since conceptually the synonym is one "virtual" term. If we were
// to combine multiple occurrences of the same synonym expansion into
// a single instance with wqf set, we would want to track the wqf.
// We build an OP_OR tree for OP_SYNONYM and then wrap it in a
// SynonymPostList, which supplies the weights.
RETURN(qopt->make_synonym_postlist(pl, factor));
}
PostList *
QueryBranch::do_max(QueryOptimiser * qopt, double factor) const
{
LOGCALL(MATCH, PostList *, "QueryBranch::do_max", qopt | factor);
OrContext ctx(subqueries.size());
do_or_like(ctx, qopt, factor);
if (factor == 0.0) {
// If we have a factor of 0, we don't care about the weights, so
// we're just like a normal OR query.
RETURN(ctx.postlist(qopt));
}
// We currently assume wqf is 1 for calculating the OP_MAX's weight
// since conceptually the OP_MAX is one "virtual" term. If we were
// to combine multiple occurrences of the same OP_MAX expansion into
// a single instance with wqf set, we would want to track the wqf.
RETURN(ctx.postlist_max(qopt));
}
Xapian::Query::op
QueryBranch::get_type() const XAPIAN_NOEXCEPT
{
return get_op();
}
size_t
QueryBranch::get_num_subqueries() const XAPIAN_NOEXCEPT
{
return subqueries.size();
}
const Query
QueryBranch::get_subquery(size_t n) const
{
return subqueries[n];
}
const string
QueryBranch::get_description_helper(const char * op,
Xapian::termcount parameter) const
{
string desc = "(";
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
if (desc.size() > 1) {
desc += op;
if (parameter) {
desc += str(parameter);
desc += ' ';
}
}
Assert((*i).internal.get());
// MatchNothing subqueries should have been removed by done(), and we
// shouldn't get called before done() is, since that happens at the
// end of the Xapian::Query constructor.
desc += (*i).internal->get_description();
}
desc += ')';
return desc;
}
Query::Internal *
QueryWindowed::done()
{
// If window size not specified, default it.
if (window == 0)
window = subqueries.size();
return QueryAndLike::done();
}
void
QueryScaleWeight::gather_terms(void * void_terms) const
{
subquery.internal->gather_terms(void_terms);
}
void QueryTerm::serialise(string & result) const
{
size_t len = term.size();
if (len == 0) {
if (wqf == 1 && pos == 0) {
// Query::MatchAll
result += '\x0f';
} else {
// Weird mutant versions of MatchAll
result += '\x0e';
result += encode_length(wqf);
result += encode_length(pos);
}
} else if (wqf == 1) {
if (pos == 0) {
// Single occurrence probabilistic term without position set.
if (len >= 16) {
result += static_cast<char>(0x40 | 0x10);
result += encode_length(term.size() - 16);
} else {
result += static_cast<char>(0x40 | 0x10 | len);
}
result += term;
} else {
// Single occurrence probabilistic term with position set.
if (len >= 16) {
result += static_cast<char>(0x40 | 0x20);
result += encode_length(term.size() - 16);
} else {
result += static_cast<char>(0x40 | 0x20 | len);
}
result += term;
result += encode_length(pos);
}
} else if (wqf > 1 || pos > 0) {
// General case.
if (len >= 16) {
result += static_cast<char>(0x40 | 0x30);
result += encode_length(term.size() - 16);
} else if (len) {
result += static_cast<char>(0x40 | 0x30 | len);
}
result += term;
result += encode_length(wqf);
result += encode_length(pos);
} else {
// Typical boolean term.
AssertEq(wqf, 0);
AssertEq(pos, 0);
if (len >= 16) {
result += static_cast<char>(0x40);
result += encode_length(term.size() - 16);
} else {
result += static_cast<char>(0x40 | len);
}
result += term;
}
}
void QueryPostingSource::serialise(string & result) const
{
result += static_cast<char>(0x0c);
const string & n = source->name();
result += encode_length(n.size());
result += n;
const string & s = source->serialise();
result += encode_length(s.size());
result += s;
}
void QueryScaleWeight::serialise(string & result) const
{
Assert(subquery.internal.get());
const string & s = serialise_double(scale_factor);
result += '\x0d';
result += s;
subquery.internal->serialise(result);
}
struct is_matchnothing {
bool operator()(const Xapian::Query & q) const {
return q.internal.get() == NULL;
}
};
void
QueryAndLike::add_subquery(const Xapian::Query & subquery)
{
// If the AndLike is already MatchNothing, do nothing.
if (subqueries.size() == 1 && subqueries[0].internal.get() == NULL)
return;
// If we're adding MatchNothing, discard any previous subqueries.
if (subquery.internal.get() == NULL)
subqueries.clear();
subqueries.push_back(subquery);
}
Query::Internal *
QueryAndLike::done()
{
// Empty AndLike gives MatchNothing.
if (subqueries.empty())
return NULL;
// We handle any subquery being MatchNothing in add_subquery() by leaving
// a single MatchNothing subquery, and so this check results in AndLike
// giving MatchNothing.
if (subqueries.size() == 1)
return subqueries[0].internal.get();
return this;
}
PostingIterator::Internal *
QueryAndLike::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryAndLike::postlist", qopt | factor);
AndContext ctx(subqueries.size());
postlist_sub_and_like(ctx, qopt, factor);
RETURN(ctx.postlist(qopt));
}
void
QueryAndLike::postlist_sub_and_like(AndContext& ctx, QueryOptimiser * qopt, double factor) const
{
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
(*i).internal->postlist_sub_and_like(ctx, qopt, factor);
}
}
void
QueryOrLike::add_subquery(const Xapian::Query & subquery)
{
// Drop any subqueries which are MatchNothing.
if (subquery.internal.get() != NULL)
subqueries.push_back(subquery);
}
Query::Internal *
QueryOrLike::done()
{
// An empty OrLike gives MatchNothing. Note that add_subquery() drops any
// subqueries which are MatchNothing.
if (subqueries.empty())
return NULL;
if (subqueries.size() == 1)
return subqueries[0].internal.get();
return this;
}
void
QueryAndNot::add_subquery(const Xapian::Query & subquery)
{
// If the left side of AndNot is already MatchNothing, do nothing.
if (subqueries.size() == 1 && subqueries[0].internal.get() == NULL)
return;
// Drop any 2nd or subsequent subqueries which are MatchNothing.
if (subquery.internal.get() != NULL || subqueries.empty())
subqueries.push_back(subquery);
}
Query::Internal *
QueryAndNot::done()
{
// Any MatchNothing right subqueries get discarded by add_subquery() - if
// that leaves just the left subquery, return that.
//
// If left subquery is MatchNothing, then add_subquery() discards all right
// subqueries, so this check also gives MatchNothing for this case.
if (subqueries.size() == 1)
return subqueries[0].internal.get();
return this;
}
void
QueryAndMaybe::add_subquery(const Xapian::Query & subquery)
{
// If the left side of AndMaybe is already MatchNothing, do nothing.
if (subqueries.size() == 1 && subqueries[0].internal.get() == NULL)
return;
// Drop any 2nd or subsequent subqueries which are MatchNothing.
if (subquery.internal.get() != NULL || subqueries.empty())
subqueries.push_back(subquery);
}
Query::Internal *
QueryAndMaybe::done()
{
// Any MatchNothing right subqueries get discarded by add_subquery() - if
// that leaves just the left subquery, return that.
//
// If left subquery is MatchNothing, then add_subquery() discards all right
// subqueries, so this check also gives MatchNothing for this case.
if (subqueries.size() == 1)
return subqueries[0].internal.get();
return this;
}
PostingIterator::Internal *
QueryOr::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryOr::postlist", qopt | factor);
OrContext ctx(subqueries.size());
do_or_like(ctx, qopt, factor);
RETURN(ctx.postlist(qopt));
}
void
QueryOr::postlist_sub_or_like(OrContext& ctx, QueryOptimiser * qopt, double factor) const
{
do_or_like(ctx, qopt, factor);
}
PostingIterator::Internal *
QueryAndNot::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryAndNot::postlist", qopt | factor);
// FIXME: Combine and-like side with and-like stuff above.
AutoPtr<PostList> l(subqueries[0].internal->postlist(qopt, factor));
OrContext ctx(subqueries.size() - 1);
do_or_like(ctx, qopt, 0.0, 0, 1);
AutoPtr<PostList> r(ctx.postlist(qopt));
RETURN(new AndNotPostList(l.release(), r.release(),
qopt->matcher, qopt->db_size));
}
PostingIterator::Internal *
QueryXor::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryXor::postlist", qopt | factor);
XorContext ctx(subqueries.size());
postlist_sub_xor(ctx, qopt, factor);
RETURN(ctx.postlist(qopt));
}
void
QueryXor::postlist_sub_xor(XorContext& ctx, QueryOptimiser * qopt, double factor) const
{
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
(*i).internal->postlist_sub_xor(ctx, qopt, factor);
}
}
PostingIterator::Internal *
QueryAndMaybe::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryAndMaybe::postlist", qopt | factor);
// FIXME: Combine and-like side with and-like stuff above.
AutoPtr<PostList> l(subqueries[0].internal->postlist(qopt, factor));
OrContext ctx(subqueries.size() - 1);
do_or_like(ctx, qopt, factor, 0, 1);
AutoPtr<PostList> r(ctx.postlist(qopt));
RETURN(new AndMaybePostList(l.release(), r.release(),
qopt->matcher, qopt->db_size));
}
PostingIterator::Internal *
QueryFilter::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryFilter::postlist", qopt | factor);
// FIXME: Combine and-like stuff, like QueryOptimiser.
AssertEq(subqueries.size(), 2);
PostList * pls[2];
AutoPtr<PostList> l(subqueries[0].internal->postlist(qopt, factor));
pls[1] = subqueries[1].internal->postlist(qopt, 0.0);
pls[0] = l.release();
RETURN(new MultiAndPostList(pls, pls + 2, qopt->matcher, qopt->db_size));
}
void
QueryFilter::postlist_sub_and_like(AndContext& ctx, QueryOptimiser * qopt, double factor) const
{
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
(*i).internal->postlist_sub_and_like(ctx, qopt, factor);
// Second and subsequent subqueries are unweighted.
factor = 0.0;
}
}
void
QueryWindowed::postlist_windowed(Query::op op, AndContext& ctx, QueryOptimiser * qopt, double factor) const
{
if (!qopt->full_db_has_positions) {
// No positional data anywhere, so just handle as AND.
QueryAndLike::postlist_sub_and_like(ctx, qopt, factor);
return;
}
if (!qopt->db.has_positions()) {
// No positions in this subdatabase so this matches nothing,
// which means the whole andcontext matches nothing.
ctx.reset();
return;
}
bool old_need_positions = qopt->need_positions;
qopt->need_positions = true;
QueryVector::const_iterator i;
for (i = subqueries.begin(); i != subqueries.end(); ++i) {
// MatchNothing subqueries should have been removed by done().
Assert((*i).internal.get());
bool is_term = ((*i).internal->get_type() == Query::LEAF_TERM);
PostList* pl = (*i).internal->postlist(qopt, factor);
if (!is_term)
pl = new OrPosPostList(pl);
ctx.add_postlist(pl);
}
// Record the positional filter to apply higher up the tree.
ctx.add_pos_filter(op, subqueries.size(), window);
qopt->need_positions = old_need_positions;
}
void
QueryPhrase::postlist_sub_and_like(AndContext & ctx, QueryOptimiser * qopt, double factor) const
{
QueryWindowed::postlist_windowed(Query::OP_PHRASE, ctx, qopt, factor);
}
void
QueryNear::postlist_sub_and_like(AndContext & ctx, QueryOptimiser * qopt, double factor) const
{
QueryWindowed::postlist_windowed(Query::OP_NEAR, ctx, qopt, factor);
}
PostingIterator::Internal *
QueryEliteSet::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryEliteSet::postlist", qopt | factor);
OrContext ctx(subqueries.size());
do_or_like(ctx, qopt, factor, set_size);
RETURN(ctx.postlist(qopt));
}
void
QueryEliteSet::postlist_sub_or_like(OrContext& ctx, QueryOptimiser * qopt, double factor) const
{
do_or_like(ctx, qopt, factor, set_size);
}
PostingIterator::Internal *
QuerySynonym::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QuerySynonym::postlist", qopt | factor);
// Save and restore total_subqs so we only add one for the whole
// OP_SYNONYM subquery (or none if we're not weighted).
Xapian::termcount save_total_subqs = qopt->get_total_subqs();
if (factor != 0.0)
++save_total_subqs;
PostList * pl = do_synonym(qopt, factor);
qopt->set_total_subqs(save_total_subqs);
RETURN(pl);
}
Query::Internal *
QuerySynonym::done()
{
// An empty Synonym gives MatchNothing. Note that add_subquery() drops any
// subqueries which are MatchNothing.
if (subqueries.empty())
return NULL;
// Synonym of a single subquery should only be simplified if that subquery
// is a term (or MatchAll), or if it's also OP_SYNONYM. Note that
// MatchNothing subqueries are dropped, so we'd never get here with a
// single MatchNothing subquery.
if (subqueries.size() == 1) {
Query::op sub_type = subqueries[0].get_type();
if (sub_type == Query::LEAF_TERM || sub_type == Query::LEAF_MATCH_ALL ||
sub_type == Query::OP_SYNONYM) {
return subqueries[0].internal.get();
}
}
return this;
}
PostingIterator::Internal *
QueryMax::postlist(QueryOptimiser * qopt, double factor) const
{
LOGCALL(QUERY, PostingIterator::Internal *, "QueryMax::postlist", qopt | factor);
// Save and restore total_subqs so we only add one for the whole
// OP_MAX subquery (or none if we're not weighted).
Xapian::termcount save_total_subqs = qopt->get_total_subqs();
if (factor != 0.0)
++save_total_subqs;
PostList * pl = do_max(qopt, factor);
qopt->set_total_subqs(save_total_subqs);
RETURN(pl);
}
Xapian::Query::op
QueryAnd::get_op() const
{
return Xapian::Query::OP_AND;
}
Xapian::Query::op
QueryOr::get_op() const
{
return Xapian::Query::OP_OR;
}
Xapian::Query::op
QueryAndNot::get_op() const
{
return Xapian::Query::OP_AND_NOT;
}
Xapian::Query::op
QueryXor::get_op() const
{
return Xapian::Query::OP_XOR;
}
Xapian::Query::op
QueryAndMaybe::get_op() const
{
return Xapian::Query::OP_AND_MAYBE;
}
Xapian::Query::op
QueryFilter::get_op() const
{
return Xapian::Query::OP_FILTER;
}
Xapian::Query::op
QueryNear::get_op() const
{
return Xapian::Query::OP_NEAR;
}
Xapian::Query::op
QueryPhrase::get_op() const
{
return Xapian::Query::OP_PHRASE;
}
Xapian::Query::op
QueryEliteSet::get_op() const
{
return Xapian::Query::OP_ELITE_SET;
}
Xapian::Query::op
QuerySynonym::get_op() const
{
return Xapian::Query::OP_SYNONYM;
}
Xapian::Query::op
QueryMax::get_op() const
{
return Xapian::Query::OP_MAX;
}
Xapian::Query::op
QueryWildcard::get_op() const
{
return Xapian::Query::OP_WILDCARD;
}
string
QueryAnd::get_description() const
{
return get_description_helper(" AND ");
}
string
QueryOr::get_description() const
{
return get_description_helper(" OR ");
}
string
QueryAndNot::get_description() const
{
return get_description_helper(" AND_NOT ");
}
string
QueryXor::get_description() const
{
return get_description_helper(" XOR ");
}
string
QueryAndMaybe::get_description() const
{
return get_description_helper(" AND_MAYBE ");
}
string
QueryFilter::get_description() const
{
return get_description_helper(" FILTER ");
}
string
QueryNear::get_description() const
{
return get_description_helper(" NEAR ", window);
}
string
QueryPhrase::get_description() const
{
return get_description_helper(" PHRASE ", window);
}
string
QueryEliteSet::get_description() const
{
return get_description_helper(" ELITE_SET ", set_size);
}
string
QuerySynonym::get_description() const
{
if (subqueries.size() == 1) {
string d = "(SYNONYM ";
d += subqueries[0].internal->get_description();
d += ")";
return d;
}
return get_description_helper(" SYNONYM ");
}
string
QueryMax::get_description() const
{
return get_description_helper(" MAX ");
}
Xapian::Query::op
QueryInvalid::get_type() const XAPIAN_NOEXCEPT
{
return Xapian::Query::OP_INVALID;
}
PostingIterator::Internal *
QueryInvalid::postlist(QueryOptimiser *, double) const
{
throw Xapian::InvalidOperationError("Query is invalid");
}
void
QueryInvalid::serialise(std::string & result) const
{
result += static_cast<char>(0x00);
}
string
QueryInvalid::get_description() const
{
return "<INVALID>";
}
}
}
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