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|
/**
* Copyright (C) 2014 MongoDB Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License, version 3,
* as published by the Free Software Foundation.
*
* 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* As a special exception, the copyright holders give permission to link the
* code of portions of this program with the OpenSSL library under certain
* conditions as described in each individual source file and distribute
* linked combinations including the program with the OpenSSL library. You
* must comply with the GNU Affero General Public License in all respects for
* all of the code used other than as permitted herein. If you modify file(s)
* with this exception, you may extend this exception to your version of the
* file(s), but you are not obligated to do so. If you do not wish to do so,
* delete this exception statement from your version. If you delete this
* exception statement from all source files in the program, then also delete
* it in the license file.
*/
/**
* This file contains tests for mongo/db/query/plan_cache.h
*/
#include "mongo/db/query/plan_cache.h"
#include <algorithm>
#include <boost/scoped_ptr.hpp>
#include <ostream>
#include <memory>
#include "mongo/db/jsobj.h"
#include "mongo/db/json.h"
#include "mongo/db/query/qlog.h"
#include "mongo/db/query/plan_ranker.h"
#include "mongo/db/query/query_knobs.h"
#include "mongo/db/query/query_planner.h"
#include "mongo/db/query/query_planner_test_lib.h"
#include "mongo/db/query/query_solution.h"
#include "mongo/unittest/unittest.h"
#include "mongo/util/assert_util.h"
using namespace mongo;
namespace {
using boost::scoped_ptr;
using std::auto_ptr;
using std::string;
using std::vector;
static const char* ns = "somebogusns";
/**
* Utility functions to create a CanonicalQuery
*/
CanonicalQuery* canonicalize(const BSONObj& queryObj) {
CanonicalQuery* cq;
Status result = CanonicalQuery::canonicalize(ns, queryObj, &cq);
ASSERT_OK(result);
return cq;
}
CanonicalQuery* canonicalize(const char* queryStr) {
BSONObj queryObj = fromjson(queryStr);
return canonicalize(queryObj);
}
CanonicalQuery* canonicalize(const char* queryStr, const char* sortStr,
const char* projStr) {
BSONObj queryObj = fromjson(queryStr);
BSONObj sortObj = fromjson(sortStr);
BSONObj projObj = fromjson(projStr);
CanonicalQuery* cq;
Status result = CanonicalQuery::canonicalize(ns, queryObj, sortObj,
projObj,
&cq);
ASSERT_OK(result);
return cq;
}
CanonicalQuery* canonicalize(const char* queryStr, const char* sortStr,
const char* projStr,
long long skip, long long limit,
const char* hintStr,
const char* minStr, const char* maxStr) {
BSONObj queryObj = fromjson(queryStr);
BSONObj sortObj = fromjson(sortStr);
BSONObj projObj = fromjson(projStr);
BSONObj hintObj = fromjson(hintStr);
BSONObj minObj = fromjson(minStr);
BSONObj maxObj = fromjson(maxStr);
CanonicalQuery* cq;
Status result = CanonicalQuery::canonicalize(ns, queryObj, sortObj,
projObj,
skip, limit,
hintObj,
minObj, maxObj,
false, // snapshot
false, // explain
&cq);
ASSERT_OK(result);
return cq;
}
CanonicalQuery* canonicalize(const char* queryStr, const char* sortStr,
const char* projStr,
long long skip, long long limit,
const char* hintStr,
const char* minStr, const char* maxStr,
bool snapshot,
bool explain) {
BSONObj queryObj = fromjson(queryStr);
BSONObj sortObj = fromjson(sortStr);
BSONObj projObj = fromjson(projStr);
BSONObj hintObj = fromjson(hintStr);
BSONObj minObj = fromjson(minStr);
BSONObj maxObj = fromjson(maxStr);
CanonicalQuery* cq;
Status result = CanonicalQuery::canonicalize(ns, queryObj, sortObj,
projObj,
skip, limit,
hintObj,
minObj, maxObj,
snapshot,
explain,
&cq);
ASSERT_OK(result);
return cq;
}
/**
* Utility function to create MatchExpression
*/
MatchExpression* parseMatchExpression(const BSONObj& obj) {
StatusWithMatchExpression status = MatchExpressionParser::parse(obj);
if (!status.isOK()) {
mongoutils::str::stream ss;
ss << "failed to parse query: " << obj.toString()
<< ". Reason: " << status.toString();
FAIL(ss);
}
MatchExpression* expr(status.getValue());
return expr;
}
void assertEquivalent(const char* queryStr, const MatchExpression* expected, const MatchExpression* actual) {
if (actual->equivalent(expected)) {
return;
}
mongoutils::str::stream ss;
ss << "Match expressions are not equivalent."
<< "\nOriginal query: " << queryStr
<< "\nExpected: " << expected->toString()
<< "\nActual: " << actual->toString();
FAIL(ss);
}
//
// Tests for CachedSolution
//
/**
* Generator for vector of QuerySolution shared pointers.
*/
struct GenerateQuerySolution {
QuerySolution* operator()() const {
auto_ptr<QuerySolution> qs(new QuerySolution());
qs->cacheData.reset(new SolutionCacheData());
qs->cacheData->solnType = SolutionCacheData::COLLSCAN_SOLN;
qs->cacheData->tree.reset(new PlanCacheIndexTree());
return qs.release();
}
};
/**
* Utility function to create a PlanRankingDecision
*/
PlanRankingDecision* createDecision(size_t numPlans) {
auto_ptr<PlanRankingDecision> why(new PlanRankingDecision());
for (size_t i = 0; i < numPlans; ++i) {
CommonStats common("COLLSCAN");
auto_ptr<PlanStageStats> stats(new PlanStageStats(common, STAGE_COLLSCAN));
stats->specific.reset(new CollectionScanStats());
why->stats.mutableVector().push_back(stats.release());
why->scores.push_back(0U);
why->candidateOrder.push_back(i);
}
return why.release();
}
/**
* Test functions for shouldCacheQuery
* Use these functions to assert which categories
* of canonicalized queries are suitable for inclusion
* in the planner cache.
*/
void assertShouldCacheQuery(const CanonicalQuery& query) {
if (PlanCache::shouldCacheQuery(query)) {
return;
}
mongoutils::str::stream ss;
ss << "Canonical query should be cacheable: " << query.toString();
FAIL(ss);
}
void assertShouldNotCacheQuery(const CanonicalQuery& query) {
if (!PlanCache::shouldCacheQuery(query)) {
return;
}
mongoutils::str::stream ss;
ss << "Canonical query should not be cacheable: " << query.toString();
FAIL(ss);
}
void assertShouldNotCacheQuery(const BSONObj& query) {
auto_ptr<CanonicalQuery> cq(canonicalize(query));
assertShouldNotCacheQuery(*cq);
}
void assertShouldNotCacheQuery(const char* queryStr) {
auto_ptr<CanonicalQuery> cq(canonicalize(queryStr));
assertShouldNotCacheQuery(*cq);
}
/**
* Cacheable queries
* These queries will be added to the cache with run-time statistics
* and can be managed with the cache DB commands.
*/
TEST(PlanCacheTest, ShouldCacheQueryBasic) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}"));
assertShouldCacheQuery(*cq);
}
TEST(PlanCacheTest, ShouldCacheQuerySort) {
auto_ptr<CanonicalQuery> cq(canonicalize("{}", "{a: -1}", "{_id: 0, a: 1}"));
assertShouldCacheQuery(*cq);
}
/*
* Non-cacheable queries.
* These queries will be sent through the planning process everytime.
*/
/**
* Collection scan
* This should normally be handled by the IDHack runner.
*/
TEST(PlanCacheTest, ShouldNotCacheQueryCollectionScan) {
auto_ptr<CanonicalQuery> cq(canonicalize("{}"));
assertShouldNotCacheQuery(*cq);
}
/**
* Hint
* A hinted query implies strong user preference for a particular index.
* Therefore, not much point in caching.
*/
TEST(PlanCacheTest, ShouldNotCacheQueryWithHint) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}", "{}", "{}", 0, 0, "{a: 1, b: 1}",
"{}", "{}"));
assertShouldNotCacheQuery(*cq);
}
/**
* Min queries are a specialized case of hinted queries
*/
TEST(PlanCacheTest, ShouldNotCacheQueryWithMin) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}", "{}", "{}", 0, 0, "{}",
"{a: 100}", "{}"));
assertShouldNotCacheQuery(*cq);
}
/**
* Max queries are non-cacheable for the same reasons as min queries.
*/
TEST(PlanCacheTest, ShouldNotCacheQueryWithMax) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}", "{}", "{}", 0, 0, "{}",
"{}", "{a: 100}"));
assertShouldNotCacheQuery(*cq);
}
/**
* $geoWithin queries with legacy coordinates are cacheable as long as
* the planner is able to come up with a cacheable solution.
*/
TEST(PlanCacheTest, ShouldCacheQueryWithGeoWithinLegacyCoordinates) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: {$geoWithin: "
"{$box: [[-180, -90], [180, 90]]}}}"));
assertShouldCacheQuery(*cq);
}
/**
* $geoWithin queries with GeoJSON coordinates are supported by the index bounds builder.
*/
TEST(PlanCacheTest, ShouldCacheQueryWithGeoWithinJSONCoordinates) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: {$geoWithin: "
"{$geometry: {type: 'Polygon', coordinates: "
"[[[0, 0], [0, 90], [90, 0], [0, 0]]]}}}}"));
assertShouldCacheQuery(*cq);
}
/**
* $geoWithin queries with both legacy and GeoJSON coordinates are cacheable.
*/
TEST(PlanCacheTest, ShouldCacheQueryWithGeoWithinLegacyAndJSONCoordinates) {
auto_ptr<CanonicalQuery> cq(canonicalize(
"{$or: [{a: {$geoWithin: {$geometry: {type: 'Polygon', "
"coordinates: [[[0, 0], [0, 90], "
"[90, 0], [0, 0]]]}}}},"
"{a: {$geoWithin: {$box: [[-180, -90], [180, 90]]}}}]}"));
assertShouldCacheQuery(*cq);
}
/**
* $geoIntersects queries are always cacheable because they support GeoJSON coordinates only.
*/
TEST(PlanCacheTest, ShouldCacheQueryWithGeoIntersects) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: {$geoIntersects: "
"{$geometry: {type: 'Point', coordinates: "
"[10.0, 10.0]}}}}"));
assertShouldCacheQuery(*cq);
}
/**
* $geoNear queries are cacheable because we are able to distinguish
* between flat and spherical queries.
*/
TEST(PlanCacheTest, ShouldNotCacheQueryWithGeoNear) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: {$geoNear: {$geometry: {type: 'Point',"
"coordinates: [0,0]}, $maxDistance:100}}}"));
assertShouldCacheQuery(*cq);
}
/**
* Explain queries are not-cacheable because of allPlans cannot
* be accurately generated from stale cached stats in the plan cache for
* non-winning plans.
*/
TEST(PlanCacheTest, ShouldNotCacheQueryExplain) {
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}", "{}", "{}", 0, 0, "{}",
"{}", "{}", // min, max
false, // snapshot
true // explain
));
const LiteParsedQuery& pq = cq->getParsed();
ASSERT_TRUE(pq.isExplain());
assertShouldNotCacheQuery(*cq);
}
// Adding an empty vector of query solutions should fail.
TEST(PlanCacheTest, AddEmptySolutions) {
PlanCache planCache;
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}"));
std::vector<QuerySolution*> solns;
boost::scoped_ptr<PlanRankingDecision> decision(createDecision(1U));
ASSERT_NOT_OK(planCache.add(*cq, solns, decision.get()));
}
TEST(PlanCacheTest, AddValidSolution) {
PlanCache planCache;
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}"));
QuerySolution qs;
qs.cacheData.reset(new SolutionCacheData());
qs.cacheData->tree.reset(new PlanCacheIndexTree());
std::vector<QuerySolution*> solns;
solns.push_back(&qs);
// Check if key is in cache before and after add().
ASSERT_FALSE(planCache.contains(*cq));
ASSERT_OK(planCache.add(*cq, solns, createDecision(1U)));
ASSERT_TRUE(planCache.contains(*cq));
ASSERT_EQUALS(planCache.size(), 1U);
}
TEST(PlanCacheTest, NotifyOfWriteOp) {
PlanCache planCache;
auto_ptr<CanonicalQuery> cq(canonicalize("{a: 1}"));
QuerySolution qs;
qs.cacheData.reset(new SolutionCacheData());
qs.cacheData->tree.reset(new PlanCacheIndexTree());
std::vector<QuerySolution*> solns;
solns.push_back(&qs);
ASSERT_OK(planCache.add(*cq, solns, createDecision(1U)));
ASSERT_EQUALS(planCache.size(), 1U);
// First (N - 1) write ops should have no effect on cache contents.
for (int i = 0; i < (internalQueryCacheWriteOpsBetweenFlush - 1); ++i) {
planCache.notifyOfWriteOp();
}
ASSERT_EQUALS(planCache.size(), 1U);
// N-th notification will cause cache to be cleared.
planCache.notifyOfWriteOp();
ASSERT_EQUALS(planCache.size(), 0U);
// Clearing the cache should reset the internal write
// operation counter.
// Repopulate cache. Write (N - 1) times.
// Clear cache.
// Add cache entry again.
// After clearing and adding a new entry, the next write operation should not
// clear the cache.
ASSERT_OK(planCache.add(*cq, solns, createDecision(1U)));
for (int i = 0; i < (internalQueryCacheWriteOpsBetweenFlush - 1); ++i) {
planCache.notifyOfWriteOp();
}
ASSERT_EQUALS(planCache.size(), 1U);
planCache.clear();
ASSERT_OK(planCache.add(*cq, solns, createDecision(1U)));
// Notification after clearing will not flush cache.
planCache.notifyOfWriteOp();
ASSERT_EQUALS(planCache.size(), 1U);
}
/**
* Each test in the CachePlanSelectionTest suite goes through
* the following flow:
*
* 1) Run QueryPlanner::plan on the query, with specified indices
* available. This simulates the case in which we failed to plan from
* the plan cache, and fell back on selecting a plan ourselves. The
* enumerator will run, and cache data will be stashed into each solution
* that it generates.
*
* 2) Use firstMatchingSolution to select one of the solutions generated
* by QueryPlanner::plan. This simulates the multi plan runner picking
* the "best solution".
*
* 3) The cache data stashed inside the "best solution" is used to
* make a CachedSolution which looks exactly like the data structure that
* would be returned from the cache. This simulates a plan cache hit.
*
* 4) Call QueryPlanner::planFromCache, passing it the CachedSolution.
* This exercises the code which is able to map from a CachedSolution to
* a full-blown QuerySolution. Finally, assert that the query solution
* recovered from the cache is identical to the original "best solution".
*/
class CachePlanSelectionTest : public mongo::unittest::Test {
protected:
void setUp() {
cq = NULL;
params.options = QueryPlannerParams::INCLUDE_COLLSCAN;
addIndex(BSON("_id" << 1));
}
void tearDown() {
delete cq;
for (vector<QuerySolution*>::iterator it = solns.begin(); it != solns.end(); ++it) {
delete *it;
}
}
void addIndex(BSONObj keyPattern, bool multikey = false) {
// The first false means not multikey.
// The second false means not sparse.
// The third arg is the index name and I am egotistical.
params.indices.push_back(IndexEntry(keyPattern,
multikey,
false,
"hari_king_of_the_stove",
BSONObj()));
}
void addIndex(BSONObj keyPattern, bool multikey, bool sparse) {
params.indices.push_back(IndexEntry(keyPattern,
multikey,
sparse,
"note_to_self_dont_break_build",
BSONObj()));
}
//
// Execute planner.
//
void runQuery(BSONObj query) {
runQuerySortProjSkipLimit(query, BSONObj(), BSONObj(), 0, 0);
}
void runQuerySortProj(const BSONObj& query, const BSONObj& sort, const BSONObj& proj) {
runQuerySortProjSkipLimit(query, sort, proj, 0, 0);
}
void runQuerySkipLimit(const BSONObj& query, long long skip, long long limit) {
runQuerySortProjSkipLimit(query, BSONObj(), BSONObj(), skip, limit);
}
void runQueryHint(const BSONObj& query, const BSONObj& hint) {
runQuerySortProjSkipLimitHint(query, BSONObj(), BSONObj(), 0, 0, hint);
}
void runQuerySortProjSkipLimit(const BSONObj& query,
const BSONObj& sort, const BSONObj& proj,
long long skip, long long limit) {
runQuerySortProjSkipLimitHint(query, sort, proj, skip, limit, BSONObj());
}
void runQuerySortHint(const BSONObj& query, const BSONObj& sort, const BSONObj& hint) {
runQuerySortProjSkipLimitHint(query, sort, BSONObj(), 0, 0, hint);
}
void runQueryHintMinMax(const BSONObj& query, const BSONObj& hint,
const BSONObj& minObj, const BSONObj& maxObj) {
runQueryFull(query, BSONObj(), BSONObj(), 0, 0, hint, minObj, maxObj, false);
}
void runQuerySortProjSkipLimitHint(const BSONObj& query,
const BSONObj& sort, const BSONObj& proj,
long long skip, long long limit,
const BSONObj& hint) {
runQueryFull(query, sort, proj, skip, limit, hint, BSONObj(), BSONObj(), false);
}
void runQuerySnapshot(const BSONObj& query) {
runQueryFull(query, BSONObj(), BSONObj(), 0, 0, BSONObj(), BSONObj(),
BSONObj(), true);
}
void runQueryFull(const BSONObj& query,
const BSONObj& sort, const BSONObj& proj,
long long skip, long long limit,
const BSONObj& hint,
const BSONObj& minObj,
const BSONObj& maxObj,
bool snapshot) {
// Clean up any previous state from a call to runQueryFull
delete cq;
cq = NULL;
for (vector<QuerySolution*>::iterator it = solns.begin(); it != solns.end(); ++it) {
delete *it;
}
solns.clear();
Status s = CanonicalQuery::canonicalize(ns, query, sort, proj, skip, limit, hint,
minObj, maxObj, snapshot,
false, // explain
&cq);
if (!s.isOK()) { cq = NULL; }
ASSERT_OK(s);
s = QueryPlanner::plan(*cq, params, &solns);
ASSERT_OK(s);
}
//
// Solution introspection.
//
void dumpSolutions(mongoutils::str::stream& ost) const {
for (vector<QuerySolution*>::const_iterator it = solns.begin();
it != solns.end();
++it) {
ost << (*it)->toString() << '\n';
}
}
/**
* Returns number of generated solutions matching JSON.
*/
size_t numSolutionMatches(const string& solnJson) const {
BSONObj testSoln = fromjson(solnJson);
size_t matches = 0;
for (vector<QuerySolution*>::const_iterator it = solns.begin();
it != solns.end();
++it) {
QuerySolutionNode* root = (*it)->root.get();
if (QueryPlannerTestLib::solutionMatches(testSoln, root)) {
++matches;
}
}
return matches;
}
/**
* Verifies that the solution tree represented in json by 'solnJson' is
* one of the solutions generated by QueryPlanner.
*
* The number of expected matches, 'numMatches', could be greater than
* 1 if solutions differ only by the pattern of index tags on a filter.
*/
void assertSolutionExists(const string& solnJson, size_t numMatches = 1) const {
size_t matches = numSolutionMatches(solnJson);
if (numMatches == matches) {
return;
}
mongoutils::str::stream ss;
ss << "expected " << numMatches << " matches for solution " << solnJson
<< " but got " << matches
<< " instead. all solutions generated: " << '\n';
dumpSolutions(ss);
FAIL(ss);
}
/**
* Plan 'query' from the cache. A mock cache entry is created using
* the cacheData stored inside the QuerySolution 'soln'.
*
* Does not take ownership of 'soln'.
*/
QuerySolution* planQueryFromCache(const BSONObj& query, const QuerySolution& soln) const {
return planQueryFromCache(query, BSONObj(), BSONObj(), soln);
}
/**
* Plan 'query' from the cache with sort order 'sort' and
* projection 'proj'. A mock cache entry is created using
* the cacheData stored inside the QuerySolution 'soln'.
*
* Does not take ownership of 'soln'.
*/
QuerySolution* planQueryFromCache(const BSONObj& query,
const BSONObj& sort,
const BSONObj& proj,
const QuerySolution& soln) const {
CanonicalQuery* cq;
Status s = CanonicalQuery::canonicalize(ns, query, sort, proj, &cq);
ASSERT_OK(s);
scoped_ptr<CanonicalQuery> scopedCq(cq);
cq = NULL;
// Create a CachedSolution the long way..
// QuerySolution -> PlanCacheEntry -> CachedSolution
QuerySolution qs;
qs.cacheData.reset(soln.cacheData->clone());
std::vector<QuerySolution*> solutions;
solutions.push_back(&qs);
PlanCacheEntry entry(solutions, createDecision(1U));
CachedSolution cachedSoln(ck, entry);
QuerySolution *out, *backupOut;
s = QueryPlanner::planFromCache(*scopedCq.get(), params, cachedSoln,
&out, &backupOut);
ASSERT_OK(s);
std::auto_ptr<QuerySolution> cleanBackup(backupOut);
return out;
}
/**
* @param solnJson -- a json representation of a query solution.
*
* Returns the first solution matching 'solnJson', or fails if
* no match is found.
*/
QuerySolution* firstMatchingSolution(const string& solnJson) const {
BSONObj testSoln = fromjson(solnJson);
for (vector<QuerySolution*>::const_iterator it = solns.begin();
it != solns.end();
++it) {
QuerySolutionNode* root = (*it)->root.get();
if (QueryPlannerTestLib::solutionMatches(testSoln, root)) {
return *it;
}
}
mongoutils::str::stream ss;
ss << "Could not find a match for solution " << solnJson
<< " All solutions generated: " << '\n';
dumpSolutions(ss);
FAIL(ss);
return NULL;
}
/**
* Assert that the QuerySolution 'trueSoln' matches the JSON-based representation
* of the solution in 'solnJson'.
*
* Relies on solutionMatches() -- see query_planner_test_lib.h
*/
void assertSolutionMatches(QuerySolution* trueSoln, const string& solnJson) const {
BSONObj testSoln = fromjson(solnJson);
if (!QueryPlannerTestLib::solutionMatches(testSoln, trueSoln->root.get())) {
mongoutils::str::stream ss;
ss << "Expected solution " << solnJson << " did not match true solution: "
<< trueSoln->toString() << '\n';
FAIL(ss);
}
}
/**
* Overloaded so that it is not necessary to specificy sort and project.
*/
void assertPlanCacheRecoversSolution(const BSONObj& query, const string& solnJson) {
assertPlanCacheRecoversSolution(query, BSONObj(), BSONObj(), solnJson);
}
/**
* First, the solution matching 'solnJson' is retrieved from the vector
* of solutions generated by QueryPlanner::plan. This solution is
* then passed into planQueryFromCache(). Asserts that the solution
* generated by QueryPlanner::planFromCache matches 'solnJson'.
*
* Must be called after calling one of the runQuery* methods.
*
* Together, 'query', 'sort', and 'proj' should specify the query which
* was previously run using one of the runQuery* methods.
*/
void assertPlanCacheRecoversSolution(const BSONObj& query,
const BSONObj& sort,
const BSONObj& proj,
const string& solnJson) {
QuerySolution* bestSoln = firstMatchingSolution(solnJson);
QuerySolution* planSoln = planQueryFromCache(query, sort, proj, *bestSoln);
assertSolutionMatches(planSoln, solnJson);
delete planSoln;
}
/**
* Check that the solution will not be cached. The planner will store
* cache data inside non-cachable solutions, but will not do so for
* non-cachable solutions. Therefore, we just have to check that
* cache data is NULL.
*/
void assertNotCached(const string& solnJson) {
QuerySolution* bestSoln = firstMatchingSolution(solnJson);
ASSERT(NULL != bestSoln);
ASSERT(NULL == bestSoln->cacheData.get());
}
static const PlanCacheKey ck;
BSONObj queryObj;
CanonicalQuery* cq;
QueryPlannerParams params;
vector<QuerySolution*> solns;
};
const PlanCacheKey CachePlanSelectionTest::ck = "mock_cache_key";
//
// Equality
//
TEST_F(CachePlanSelectionTest, EqualityIndexScan) {
addIndex(BSON("x" << 1));
runQuery(BSON("x" << 5));
assertPlanCacheRecoversSolution(BSON("x" << 5),
"{fetch: {filter: null, node: {ixscan: {pattern: {x: 1}}}}}");
}
TEST_F(CachePlanSelectionTest, EqualityIndexScanWithTrailingFields) {
addIndex(BSON("x" << 1 << "y" << 1));
runQuery(BSON("x" << 5));
assertPlanCacheRecoversSolution(BSON("x" << 5),
"{fetch: {filter: null, node: {ixscan: {pattern: {x: 1, y: 1}}}}}");
}
//
// Geo
//
TEST_F(CachePlanSelectionTest, Basic2DSphereNonNear) {
addIndex(BSON("a" << "2dsphere"));
BSONObj query;
query = fromjson("{a: {$geoIntersects: {$geometry: {type: 'Point',"
"coordinates: [10.0, 10.0]}}}}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {node: {ixscan: {pattern: {a: '2dsphere'}}}}}");
query = fromjson("{a : { $geoWithin : { $centerSphere : [[ 10, 20 ], 0.01 ] } }}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {node: {ixscan: {pattern: {a: '2dsphere'}}}}}");
}
TEST_F(CachePlanSelectionTest, Basic2DSphereGeoNear) {
addIndex(BSON("a" << "2dsphere"));
BSONObj query;
query = fromjson("{a: {$nearSphere: [0,0], $maxDistance: 0.31 }}");
runQuery(query);
assertPlanCacheRecoversSolution(query, "{geoNear2dsphere: {a: '2dsphere'}}");
query = fromjson("{a: {$geoNear: {$geometry: {type: 'Point', coordinates: [0,0]},"
"$maxDistance:100}}}");
runQuery(query);
assertPlanCacheRecoversSolution(query, "{geoNear2dsphere: {a: '2dsphere'}}");
}
TEST_F(CachePlanSelectionTest, Basic2DSphereGeoNearReverseCompound) {
addIndex(BSON("x" << 1));
addIndex(BSON("x" << 1 << "a" << "2dsphere"));
BSONObj query = fromjson("{x:1, a: {$nearSphere: [0,0], $maxDistance: 0.31 }}");
runQuery(query);
assertPlanCacheRecoversSolution(query, "{geoNear2dsphere: {x: 1, a: '2dsphere'}}");
}
TEST_F(CachePlanSelectionTest, TwoDSphereNoGeoPred) {
addIndex(BSON("x" << 1 << "a" << "2dsphere"));
runQuery(BSON("x" << 1));
assertPlanCacheRecoversSolution(BSON("x" << 1),
"{fetch: {node: {ixscan: {pattern: {x: 1, a: '2dsphere'}}}}}");
}
TEST_F(CachePlanSelectionTest, Or2DSphereNonNear) {
addIndex(BSON("a" << "2dsphere"));
addIndex(BSON("b" << "2dsphere"));
BSONObj query = fromjson("{$or: [ {a: {$geoIntersects: {$geometry: {type: 'Point', coordinates: [10.0, 10.0]}}}},"
" {b: {$geoWithin: { $centerSphere: [[ 10, 20 ], 0.01 ] } }} ]}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{or: {nodes: [{fetch: {node: {ixscan: {pattern: {a: '2dsphere'}}}}},"
"{fetch: {node: {ixscan: {pattern: {b: '2dsphere'}}}}}]}}");
}
//
// tree operations
//
TEST_F(CachePlanSelectionTest, TwoPredicatesAnding) {
addIndex(BSON("x" << 1));
BSONObj query = fromjson("{$and: [ {x: {$gt: 1}}, {x: {$lt: 3}} ] }");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {filter: null, node: {ixscan: {filter: null, pattern: {x: 1}}}}}");
}
TEST_F(CachePlanSelectionTest, SimpleOr) {
addIndex(BSON("a" << 1));
BSONObj query = fromjson("{$or: [{a: 20}, {a: 21}]}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {filter: null, node: {ixscan: {filter: null, pattern: {a:1}}}}}");
}
TEST_F(CachePlanSelectionTest, OrWithAndChild) {
addIndex(BSON("a" << 1));
BSONObj query = fromjson("{$or: [{a: 20}, {$and: [{a:1}, {b:7}]}]}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {filter: null, node: {or: {nodes: ["
"{ixscan: {filter: null, pattern: {a: 1}}}, "
"{fetch: {filter: {b: 7}, node: {ixscan: "
"{filter: null, pattern: {a: 1}}}}}]}}}}");
}
TEST_F(CachePlanSelectionTest, AndWithUnindexedOrChild) {
addIndex(BSON("a" << 1));
BSONObj query = fromjson("{a:20, $or: [{b:1}, {c:7}]}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {filter: {$or: [{b: 1}, {c: 7}]}, node: "
"{ixscan: {filter: null, pattern: {a: 1}}}}}");
}
TEST_F(CachePlanSelectionTest, AndWithOrWithOneIndex) {
addIndex(BSON("b" << 1));
addIndex(BSON("a" << 1));
BSONObj query = fromjson("{$or: [{b:1}, {c:7}], a:20}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{fetch: {filter: {$or: [{b: 1}, {c: 7}]}, "
"node: {ixscan: {filter: null, pattern: {a: 1}}}}}");
}
//
// Sort orders
//
// SERVER-1205.
TEST_F(CachePlanSelectionTest, MergeSort) {
addIndex(BSON("a" << 1 << "c" << 1));
addIndex(BSON("b" << 1 << "c" << 1));
BSONObj query = fromjson("{$or: [{a:1}, {b:1}]}");
BSONObj sort = BSON("c" << 1);
runQuerySortProj(query, sort, BSONObj());
assertPlanCacheRecoversSolution(query, sort, BSONObj(),
"{fetch: {node: {mergeSort: {nodes: "
"[{ixscan: {pattern: {a: 1, c: 1}}}, {ixscan: {pattern: {b: 1, c: 1}}}]}}}}");
}
// SERVER-1205 as well.
TEST_F(CachePlanSelectionTest, NoMergeSortIfNoSortWanted) {
addIndex(BSON("a" << 1 << "c" << 1));
addIndex(BSON("b" << 1 << "c" << 1));
BSONObj query = fromjson("{$or: [{a:1}, {b:1}]}");
runQuerySortProj(query, BSONObj(), BSONObj());
assertPlanCacheRecoversSolution(query, BSONObj(), BSONObj(),
"{fetch: {filter: null, node: {or: {nodes: ["
"{ixscan: {filter: null, pattern: {a: 1, c: 1}}}, "
"{ixscan: {filter: null, pattern: {b: 1, c: 1}}}]}}}}");
}
// Disabled: SERVER-10801.
/*
TEST_F(CachePlanSelectionTest, SortOnGeoQuery) {
addIndex(BSON("timestamp" << -1 << "position" << "2dsphere"));
BSONObj query = fromjson("{position: {$geoWithin: {$geometry: {type: \"Polygon\", "
"coordinates: [[[1, 1], [1, 90], [180, 90], "
"[180, 1], [1, 1]]]}}}}");
BSONObj sort = fromjson("{timestamp: -1}");
runQuerySortProj(query, sort, BSONObj());
assertPlanCacheRecoversSolution(query, sort, BSONObj(),
"{fetch: {node: {ixscan: {pattern: {timestamp: -1, position: '2dsphere'}}}}}");
}
*/
// SERVER-9257
TEST_F(CachePlanSelectionTest, CompoundGeoNoGeoPredicate) {
addIndex(BSON("creationDate" << 1 << "foo.bar" << "2dsphere"));
BSONObj query = fromjson("{creationDate: {$gt: 7}}");
BSONObj sort = fromjson("{creationDate: 1}");
runQuerySortProj(query, sort, BSONObj());
assertPlanCacheRecoversSolution(query, sort, BSONObj(),
"{fetch: {node: {ixscan: {pattern: {creationDate: 1, 'foo.bar': '2dsphere'}}}}}");
}
TEST_F(CachePlanSelectionTest, ReverseScanForSort) {
addIndex(BSON("_id" << 1));
runQuerySortProj(BSONObj(), fromjson("{_id: -1}"), BSONObj());
assertPlanCacheRecoversSolution(BSONObj(), fromjson("{_id: -1}"), BSONObj(),
"{fetch: {filter: null, node: {ixscan: {filter: null, pattern: {_id: 1}}}}}");
}
//
// Caching collection scans.
//
TEST_F(CachePlanSelectionTest, CollscanNoUsefulIndices) {
addIndex(BSON("a" << 1 << "b" << 1));
addIndex(BSON("c" << 1));
runQuery(BSON("b" << 4));
assertPlanCacheRecoversSolution(BSON("b" << 4),
"{cscan: {filter: {b: 4}, dir: 1}}");
}
TEST_F(CachePlanSelectionTest, CollscanOrWithoutEnoughIndices) {
addIndex(BSON("a" << 1));
BSONObj query =fromjson("{$or: [{a: 20}, {b: 21}]}");
runQuery(query);
assertPlanCacheRecoversSolution(query,
"{cscan: {filter: {$or:[{a:20},{b:21}]}, dir: 1}}");
}
TEST_F(CachePlanSelectionTest, CollscanMergeSort) {
addIndex(BSON("a" << 1 << "c" << 1));
addIndex(BSON("b" << 1 << "c" << 1));
BSONObj query = fromjson("{$or: [{a:1}, {b:1}]}");
BSONObj sort = BSON("c" << 1);
runQuerySortProj(query, sort, BSONObj());
assertPlanCacheRecoversSolution(query, sort, BSONObj(),
"{sort: {pattern: {c: 1}, limit: 0, node: {cscan: {dir: 1}}}}");
}
//
// Check queries that, at least for now, are not cached.
//
TEST_F(CachePlanSelectionTest, GeoNear2DNotCached) {
addIndex(BSON("a" << "2d"));
runQuery(fromjson("{a: {$near: [0,0], $maxDistance:0.3 }}"));
assertNotCached("{geoNear2d: {a: '2d'}}");
}
TEST_F(CachePlanSelectionTest, MinNotCached) {
addIndex(BSON("a" << 1));
runQueryHintMinMax(BSONObj(), BSONObj(), fromjson("{a: 1}"), BSONObj());
assertNotCached("{fetch: {filter: null, "
"node: {ixscan: {filter: null, pattern: {a: 1}}}}}");
}
TEST_F(CachePlanSelectionTest, MaxNotCached) {
addIndex(BSON("a" << 1));
runQueryHintMinMax(BSONObj(), BSONObj(), BSONObj(), fromjson("{a: 1}"));
assertNotCached("{fetch: {filter: null, "
"node: {ixscan: {filter: null, pattern: {a: 1}}}}}");
}
TEST_F(CachePlanSelectionTest, NaturalHintNotCached) {
addIndex(BSON("a" << 1));
addIndex(BSON("b" << 1));
runQuerySortHint(BSON("a" << 1), BSON("b" << 1), BSON("$natural" << 1));
assertNotCached("{sort: {pattern: {b: 1}, limit: 0, node: "
"{cscan: {filter: {a: 1}, dir: 1}}}}");
}
TEST_F(CachePlanSelectionTest, HintValidNotCached) {
addIndex(BSON("a" << 1));
runQueryHint(BSONObj(), fromjson("{a: 1}"));
assertNotCached("{fetch: {filter: null, "
"node: {ixscan: {filter: null, pattern: {a: 1}}}}}");
}
//
// Queries using '2d' indices are not cached.
//
TEST_F(CachePlanSelectionTest, Basic2DNonNearNotCached) {
addIndex(BSON("a" << "2d"));
BSONObj query;
// Polygon
query = fromjson("{a : { $within: { $polygon : [[0,0], [2,0], [4,0]] } }}");
runQuery(query);
assertNotCached("{fetch: {node: {ixscan: {pattern: {a: '2d'}}}}}");
// Center
query = fromjson("{a : { $within : { $center : [[ 5, 5 ], 7 ] } }}");
runQuery(query);
assertNotCached("{fetch: {node: {ixscan: {pattern: {a: '2d'}}}}}");
// Centersphere
query = fromjson("{a : { $within : { $centerSphere : [[ 10, 20 ], 0.01 ] } }}");
runQuery(query);
assertNotCached("{fetch: {node: {ixscan: {pattern: {a: '2d'}}}}}");
// Within box.
query = fromjson("{a : {$within: {$box : [[0,0],[9,9]]}}}");
runQuery(query);
assertNotCached("{fetch: {node: {ixscan: {pattern: {a: '2d'}}}}}");
}
TEST_F(CachePlanSelectionTest, Or2DNonNearNotCached) {
addIndex(BSON("a" << "2d"));
addIndex(BSON("b" << "2d"));
BSONObj query = fromjson("{$or: [ {a : { $within : { $polygon : [[0,0], [2,0], [4,0]] } }},"
" {b : { $within : { $center : [[ 5, 5 ], 7 ] } }} ]}");
runQuery(query);
assertNotCached("{or: {nodes: [{fetch: {node: {ixscan: {pattern: {a: '2d'}}}}},"
"{fetch: {node: {ixscan: {pattern: {b: '2d'}}}}}]}}");
}
} // namespace
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