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SERVER-121739 Mark index skip scan plans as unsupported by CBR (#49739) (#49963)

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GitOrigin-RevId: 1821caf8d46b44dd8ad50c3c3dccf2517e3f0ed5
This commit is contained in:
Militsa Sotirova 2026-03-23 10:02:20 -04:00 committed by MongoDB Bot
parent fe7245b196
commit e94a292ed8
20 changed files with 1427 additions and 1105 deletions
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11
jstests/noPassthrough/query/multiplanner/tie_breaking_index_prefix.js
View File

@ -204,11 +204,12 @@ function preferShortestIndexWithComparisonsInFilter(indexPruningActive) {
// TODO(SERVER-121641): Switch this back to isPlanCosted() after fixing the winning plan
// not having CBR estimates even if picked by CBR.
if (getPlanRankerMode(conn) !== "multiPlanning" && !checkSbeFullyEnabled(db)) {
assertIndexScan(false, filter, [{a: 1, b: 1}], explain);
} else {
assertIndexScan(false, filter, [{a: 1, b: 1, c: 1}], explain);
}
// TODO SERVER-100611: re-enable these tests.
// if (getPlanRankerMode(conn) !== "multiPlanning" && !checkSbeFullyEnabled(db)) {
// assertIndexScan(false, filter, [{a: 1, b: 1}], explain);
// } else {
assertIndexScan(false, filter, [{a: 1, b: 1, c: 1}], explain);
// }
}
assertIndexScan(true, filter, [{a: 1, b: 1}]);

109
jstests/noPassthrough/query/plan_evaluation_coll_fraction.js
View File

@ -119,60 +119,61 @@ describe("MultiPlanner exit condition metrics get updated correctly", function (
if (planRankerMode === "automaticCE" && !isSBEEnabled) {
describe("automaticCE (CBR) mode", function () {
describe("fallback to CBR", function () {
it("does not update multi-planner metrics when plan cache is disabled", function () {
// We do not measure works for the chosen CBR plan, so MP metrics must not change.
assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: true}));
assert.docEq(
{
hitEof: 0,
hitResultsLimit: 0,
hitWorksLimit: 0,
},
getStoppingCondition(0.1),
);
assert.docEq(
{
hitEof: 0,
hitResultsLimit: 0,
hitWorksLimit: 0,
},
getStoppingCondition(20.0),
);
});
it("records hitWorksLimit when CBR fallback is measured with low collFraction", function () {
// With plan cache enabled, we measure works for the CBR-chosen plan.
// At low collFraction, CBR evaluation stops due to works budget, so hitWorksLimit should increment.
assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: false}));
assert.docEq(
{
hitEof: 0,
hitResultsLimit: 0,
hitWorksLimit: 0,
},
getStoppingCondition(0.1),
);
});
it("records hitEof when CBR fallback is measured with high collFraction", function () {
// With a higher collFraction, CBR can run until EOF instead of hitting works limit.
// With plan cache enabled, this should be reflected as hitEof.
assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: false}));
assert.docEq(
{
hitEof: 0,
hitResultsLimit: 0,
hitWorksLimit: 0,
},
getStoppingCondition(20.0),
);
});
});
// TODO SERVER-100611: re-enable these tests.
// describe("fallback to CBR", function () {
// it("does not update multi-planner metrics when plan cache is disabled", function () {
// // We do not measure works for the chosen CBR plan, so MP metrics must not change.
// assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: true}));
//
// assert.docEq(
// {
// hitEof: 0,
// hitResultsLimit: 0,
// hitWorksLimit: 0,
// },
// getStoppingCondition(0.1),
// );
//
// assert.docEq(
// {
// hitEof: 0,
// hitResultsLimit: 0,
// hitWorksLimit: 0,
// },
// getStoppingCondition(20.0),
// );
// });
//
// it("records hitWorksLimit when CBR fallback is measured with low collFraction", function () {
// // With plan cache enabled, we measure works for the CBR-chosen plan.
// // At low collFraction, CBR evaluation stops due to works budget, so hitWorksLimit should increment.
// assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: false}));
//
// assert.docEq(
// {
// hitEof: 0,
// hitResultsLimit: 0,
// hitWorksLimit: 0,
// },
// getStoppingCondition(0.1),
// );
// });
//
// it("records hitEof when CBR fallback is measured with high collFraction", function () {
// // With a higher collFraction, CBR can run until EOF instead of hitting works limit.
// // With plan cache enabled, this should be reflected as hitEof.
// assert.commandWorked(db.adminCommand({setParameter: 1, internalQueryDisablePlanCache: false}));
//
// assert.docEq(
// {
// hitEof: 0,
// hitResultsLimit: 0,
// hitWorksLimit: 0,
// },
// getStoppingCondition(20.0),
// );
// });
// });
describe("no fallback to CBR", function () {
it("records EOF when multiplanning produces a result before exhausting works", function () {

5
jstests/noPassthroughWithMongod/query/cbr/cbr_histograms.js
View File

@ -182,8 +182,9 @@ try {
{query: {a: {$gt: 20, $lt: 40}}, expectedCE: 18.8},
{query: {a: 20, b: 20}, expectedCE: 0.1},
{query: {a: 20, b: {$gt: 20}}, expectedCE: 0.9},
{query: {a: {$gt: 20}, b: 20}, expectedCE: 0.9},
{query: {a: {$gt: 20}, b: {$gt: 20}}, expectedCE: 70.8},
// TODO SERVER-100611: re-enable these tests.
// {query: {a: {$gt: 20}, b: 20}, expectedCE: 0.9},
// {query: {a: {$gt: 20}, b: {$gt: 20}}, expectedCE: 70.8},
];
testCases.forEach((tc) => assertQueryUsesHistograms(tc));
} finally {

22
jstests/noPassthroughWithMongod/query/cbr/cbr_infrastructure.js
View File

@ -86,9 +86,10 @@ assert.commandWorked(coll.runCommand({analyze: collName, key: "bool_field", numb
// Test queries
const queries = [
{a: {$gt: 10}, b: {$eq: 99}},
{a: {$in: [5, 1]}, b: {$in: [7, 99]}},
{a: {$gt: 90}, b: {$eq: 99}, c: {$lt: 5}},
// TODO SERVER-100611: re-enable these tests.
// {a: {$gt: 10}, b: {$eq: 99}},
// {a: {$in: [5, 1]}, b: {$in: [7, 99]}},
// {a: {$gt: 90}, b: {$eq: 99}, c: {$lt: 5}},
/*
The following query has 4 plans:
1. Filter: a in (1,5) AND b in (7, 99)
@ -118,15 +119,16 @@ const queries = [
better. Therefore, instead of comparing plans the test compares the number of keys and documents
scanned by a plan. CBR plans should scan no more than Classic plans.
*/
{
$and: [{$or: [{a: 10}, {b: {$gt: 99}}]}, {$or: [{a: {$in: [5, 1]}}, {b: {$in: [7, 99]}}]}],
},
// {
// $and: [{$or: [{a: 10}, {b: {$gt: 99}}]}, {$or: [{a: {$in: [5, 1]}}, {b: {$in: [7, 99]}}]}],
// },
{a: {$not: {$lt: 130}}},
{missing_10_percent: {$exists: false}},
{missing_10_percent: {$not: {$exists: false}}},
{missing_90_percent: {$exists: false}},
{missing_90_percent: {$not: {$exists: false}}},
{a: {$not: {$lt: 130}}, b: 12, c: {$not: {$gt: 1200}}},
// TODO SERVER-100611: re-enable this test.
// {a: {$not: {$lt: 130}}, b: 12, c: {$not: {$gt: 1200}}},
{a: {$not: {$in: [[100, 101, 102]]}}},
{$nor: [{$and: [{a: {$lt: 10}}, {b: {$gt: 19}}]}]},
{$nor: [{$or: [{a: {$lt: 10}}, {b: {$gt: 19}}]}]},
@ -139,7 +141,8 @@ const queries = [
{a: {$gt: 10}, b: {$in: []}},
{$nor: [{a: 1}]},
{$nor: [{a: 1}, {b: {$gt: 1000}}]},
{$and: [{$nor: [{a: 1}, {a: {$gt: 1000}}]}, {b: {$lt: 100}}]},
// TODO SERVER-100611: re-enable these tests.
// {$and: [{$nor: [{a: 1}, {a: {$gt: 1000}}]}, {b: {$lt: 100}}]},
{$and: [{$or: [{$nor: [{a: {$gt: 100}}, {b: {$gt: 50}}]}, {a: 1}]}, {b: {$lt: 100}}]},
// This query has an empty result, thus should estimate as 0
{$and: [{$or: [{a: 0}, {a: 1}]}, {$or: [{a: {$gt: 3}}, {a: {$lt: 0}}]}]},
@ -180,7 +183,8 @@ const queries = [
// {$or: [{a: 3}, {b: {$size: 9}}]},
];
queries.push({$or: [queries[0], queries[1]]});
// TODO SERVER-100611: re-enable these tests.
// queries.push({$or: [queries[0], queries[1]]});
function assertCbrExplain(plan) {
assert(plan.hasOwnProperty("cardinalityEstimate"), plan);

3
jstests/noPassthroughWithMongod/query/cbr/cbr_plan_selection.js
View File

@ -115,7 +115,8 @@ try {
// In the presence of a compound index, it is chosen regardless of the selectivity of the
// predicates.
assert.contains(winningIndex({unique1: 1, unique2: 1}), ["unique1_1_unique2_1", "unique2_1_unique1_1"]);
assert.eq(winningIndex({unique1: {$gte: 0}, unique2: {$gte: 0}}), "unique1_1_unique2_1");
// TODO SERVER-100611: re-enable these tests.
// assert.eq(winningIndex({unique1: {$gte: 0}, unique2: {$gte: 0}}), "unique1_1_unique2_1");
assert.eq(winningIndex({unique1: 1, unique2: {$gte: 0}}), "unique1_1_unique2_1");
// TODO(SERVER-97933): assert.eq(winningIndex({unique1: {$lt: 0}, unique2: {$lt: 0}}),

5
jstests/noPassthroughWithMongod/query/cbr/cbr_sampling.js
View File

@ -81,8 +81,9 @@ try {
assert.commandWorked(coll.createIndex({b: 1}));
assertAllPlansUseSampling({a: {$lt: 100}});
assertAllPlansUseSampling({b: {$lt: 100}});
assertAllPlansUseSampling({a: {$lt: 100}, b: {$lt: 500}});
assertAllPlansUseSampling({a: {$lt: 100}, b: {$lt: 500}, c: {$exists: true}});
// TODO SERVER-100611: re-enable these tests.
// assertAllPlansUseSampling({a: {$lt: 100}, b: {$lt: 500}});
// assertAllPlansUseSampling({a: {$lt: 100}, b: {$lt: 500}, c: {$exists: true}});
// Test that invalid query does not error during Sampling CE. 0 ce is returned because the query
// always fails.

9
jstests/noPassthroughWithMongod/query/cbr/cbr_stage_costing.js
View File

@ -199,10 +199,11 @@ function runTest(planRankerMode) {
// IXSCAN with a single seek should have a lower cost than an index scan with skips.
const predicateOverAandB = {a: 5, b: {$gt: 6}};
assert.lt(
ixscanCost({predicate: predicateOverAandB, hint: {a: 1, b: 1}}),
ixscanCost({predicate: predicateOverAandB, hint: {b: 1, a: 1}}),
);
// TODO SERVER-100611: re-enable these tests.
// assert.lt(
// ixscanCost({predicate: predicateOverAandB, hint: {a: 1, b: 1}}),
// ixscanCost({predicate: predicateOverAandB, hint: {b: 1, a: 1}}),
// );
// IXSCAN over an index that matches all predicates should produce a lower-cost
// plan than any of the alternatives.

3
jstests/noPassthroughWithMongod/query/cbr/histogramCE_accuracy.js
View File

@ -129,6 +129,7 @@ for (const indexes of [[], [{a: 1}]]) {
// Multi-field predicates
for (const indexes of [[{a: 1, b: 1}], [{a: 1}, {b: 1}]]) {
// TODO SERVER-100611: re-enable these tests.
for (const indexes of [/*[{a: 1, b: 1}], */ [{a: 1}, {b: 1}]]) {
runOneTest({dataset: new TwoFieldDataset(), indexes: indexes, analyze: ["a", "b"]});
}

38
jstests/noPassthroughWithMongod/query/plan_ranking/cost_based_choice_cbr_mp.js
View File

@ -234,15 +234,16 @@ try {
mpEndCond: mpEndConditions.kMaxWorks,
ranker: rankerStrategies.kCBR,
});
checkRanker({
qID: "3.2",
cName: "20k",
query: {f1: {$lt: 505}, f2: {$gt: 100}},
order: {x1: 1},
limit: batchSize + 1,
mpEndCond: mpEndConditions.kMaxWorks,
ranker: rankerStrategies.kCBR,
});
// TODO SERVER-100611: re-enable these tests.
// checkRanker({
// qID: "3.2",
// cName: "20k",
// query: {f1: {$lt: 505}, f2: {$gt: 100}},
// order: {x1: 1},
// limit: batchSize + 1,
// mpEndCond: mpEndConditions.kMaxWorks,
// ranker: rankerStrategies.kCBR,
// });
// This is an interesting case with productivity = 0.0052 which is < 0.0101
checkRanker({
qID: "3.3",
@ -286,15 +287,16 @@ try {
mpEndCond: mpEndConditions.kMaxWorks,
ranker: rankerStrategies.kCBR,
});
checkRanker({
qID: "5.2",
cName: "20k",
query: {f1: {$lt: 505}, f2: {$gt: 100}},
order: {f3: 1},
limit: batchSize + 1,
mpEndCond: mpEndConditions.kFullBatch,
ranker: rankerStrategies.kCBR,
});
// TODO SERVER-100611: re-enable these tests.
// checkRanker({
// qID: "5.2",
// cName: "20k",
// query: {f1: {$lt: 505}, f2: {$gt: 100}},
// order: {f3: 1},
// limit: batchSize + 1,
// mpEndCond: mpEndConditions.kFullBatch,
// ranker: rankerStrategies.kCBR,
// });
} finally {
restoreCBRConfig(db, prevCBRConfig);
}

174
jstests/query_golden/expected_output/automaticCE/CBRCostBasedRankerChoice/plan_stability
View File

@ -92,9 +92,9 @@
"rows" : 138},
{">>>pipeline": [{"$match":{"$and":[{"d_noidx":{"$exists":true}},{"a_idx":{"$elemMatch":{"$exists":true}}},{"a_idx":{"$elemMatch":{"$nin":[9,8,6,4,4,18]}}},{"$nor":[{"a_compound":{"$all":[9,17,2]}},{"k_compound":{"$exists":false}}]}],"a_noidx":{"$gt":19}}},{"$sort":{"d_idx":-1,"h_idx":1}},{"$limit":19},{"$skip":6},{"$project":{"_id":0,"a_compound":1}}],
"winningPlan": {"stage":"PROJECTION_SIMPLE","inputStage":{"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1","indexBounds":{"k_compound":["[MinKey, MaxKey]"]}}}}}},
"keys" : 100000,
"docs" : 100000,
"winningPlan": {"stage":"PROJECTION_SIMPLE","inputStage":{"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"OR","inputStages":[{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["[MinKey, MaxKey]"],"a_compound":["[MinKey, 9.0)","(9.0, MaxKey]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[MinKey, MaxKey]"]}}}]}}}}},
"keys" : 927982,
"docs" : 300000,
"sorts": 394365,
"plans": 14,
"rows" : 13},
@ -212,9 +212,9 @@
"rows" : 200},
{">>>pipeline": [{"$match":{"$and":[{"$nor":[{"i_idx":{"$in":[2,11]}},{"a_compound":{"$all":[8,16]}}]},{"k_compound":{"$gt":9}}],"a_idx":{"$gt":16}}},{"$sort":{"c_idx":1,"z_idx":1}}],
"winningPlan": {"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1","indexBounds":{"k_compound":["(9.0, inf]"]}}}},
"keys" : 99000,
"docs" : 99000,
"winningPlan": {"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"OR","inputStages":[{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["(9.0, inf]"],"a_compound":["[MinKey, 8.0)","(8.0, MaxKey]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[MinKey, 16.0)","(16.0, MaxKey]"]}}}]}}},
"keys" : 924177,
"docs" : 298999,
"sorts": 1237677,
"plans": 13,
"rows" : 98992},
@ -284,9 +284,9 @@
"rows" : 44},
{">>>pipeline": [{"$match":{"$nor":[{"a_compound":{"$all":[8,16]}},{"a_idx":{"$gt":20}}],"i_noidx":{"$gte":20},"k_compound":{"$ne":9}}},{"$limit":9}],
"winningPlan": {"stage":"LIMIT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1","indexBounds":{"k_compound":["[MinKey, 9.0)","(9.0, MaxKey]"]}}}},
"keys" : 99901,
"docs" : 99900,
"winningPlan": {"stage":"LIMIT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"OR","inputStages":[{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["[MinKey, 9.0)","(9.0, MaxKey]"],"a_compound":["[MinKey, 8.0)","(8.0, MaxKey]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[MinKey, 16.0)","(16.0, MaxKey]"]}}}]}}},
"keys" : 926678,
"docs" : 299899,
"sorts": 0,
"plans": 12,
"rows" : 1},
@ -452,9 +452,9 @@
"rows" : 240},
{">>>pipeline": [{"$match":{"$nor":[{"a_compound":{"$all":[19,20]}},{"k_compound":{"$exists":false}}],"i_idx":{"$gte":11}}},{"$sort":{"a_idx":1,"i_idx":1}},{"$skip":16},{"$project":{"_id":0,"h_noidx":1,"k_compound":1}}],
"winningPlan": {"stage":"PROJECTION_SIMPLE","inputStage":{"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"i_idx_1","indexBounds":{"i_idx":["[11.0, inf]"]}}}}}},
"keys" : 99989,
"docs" : 99989,
"winningPlan": {"stage":"PROJECTION_SIMPLE","inputStage":{"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"OR","inputStages":[{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["[MinKey, MaxKey]"],"a_compound":["[MinKey, 19.0)","(19.0, MaxKey]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[MinKey, 20.0)","(20.0, MaxKey]"]}}}]}}}}},
"keys" : 935893,
"docs" : 300000,
"sorts": 1251144,
"plans": 12,
"rows" : 99973},
@ -748,9 +748,9 @@
"rows" : 1},
{">>>pipeline": [{"$match":{"$nor":[{"k_compound":{"$exists":false}},{"a_compound":{"$gte":8}},{"a_noidx":{"$elemMatch":{"$exists":false}}}],"$or":[{"z_idx":{"$exists":true}},{"a_compound":{"$elemMatch":{"$gt":11}}},{"a_compound":{"$elemMatch":{"$exists":true}}}],"d_compound":{"$nin":[18,2]}}},{"$limit":236}],
"winningPlan": {"stage":"LIMIT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"d_compound_1","indexBounds":{"d_compound":["[MinKey, 2.0)","(2.0, 18.0)","(18.0, MaxKey]"]}}}},
"keys" : 90001,
"docs" : 90000,
"winningPlan": {"stage":"LIMIT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["[MinKey, MaxKey]"],"a_compound":["[MinKey, 8.0)","(inf, MaxKey]"]}}}},
"keys" : 170836,
"docs" : 99978,
"sorts": 0,
"plans": 15,
"rows" : 7},
@ -1052,8 +1052,8 @@
"rows" : 158},
{">>>pipeline": [{"$match":{"$and":[{"i_compound":{"$nin":[8,18,13]}},{"a_compound":{"$exists":true}},{"$or":[{"z_noidx":{"$gt":1}},{"a_noidx":{"$elemMatch":{"$exists":true,"$in":[20,20],"$nin":[2,10]}}},{"a_compound":{"$exists":true}}]},{"$nor":[{"z_noidx":{"$gte":9}},{"a_compound":{"$all":[8,16,12,3,17]}},{"a_compound":{"$in":[5,15,12]}}]}]}},{"$sort":{"d_idx":1,"z_idx":1}},{"$limit":86}],
"winningPlan": {"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"i_compound_1","indexBounds":{"i_compound":["[MinKey, 8.0)","(8.0, 13.0)","(13.0, 18.0)","(18.0, MaxKey]"]}}}},
"keys" : 100000,
"winningPlan": {"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1_i_compound_1","indexBounds":{"a_compound":["[MinKey, MaxKey]"],"i_compound":["[MinKey, 8.0)","(8.0, 13.0)","(13.0, 18.0)","(18.0, MaxKey]"]}}}},
"keys" : 468941,
"docs" : 99997,
"sorts": 471708,
"plans": 16,
@ -1140,9 +1140,9 @@
"rows" : 97000},
{">>>pipeline": [{"$match":{"$or":[{"$or":[{"a_compound":{"$elemMatch":{"$lte":2}}},{"$and":[{"$nor":[{"a_noidx":{"$elemMatch":{"$exists":false}}},{"z_noidx":{"$exists":true}}]},{"a_idx":{"$elemMatch":{"$gte":10}}}]},{"a_idx":{"$elemMatch":{"$exists":true}}},{"i_compound":{"$exists":false}}]},{"k_compound":{"$gte":20}}],"a_compound":{"$eq":2},"d_noidx":{"$eq":8}}},{"$sort":{"d_idx":1,"z_idx":1}},{"$limit":86},{"$skip":5}],
"winningPlan": {"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[2.0, 2.0]"]}}}}},
"keys" : 38792,
"docs" : 38792,
"winningPlan": {"stage":"SKIP","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"OR","inputStages":[{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_idx_1","indexBounds":{"a_idx":["[10.0, inf]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_idx_1","indexBounds":{"a_idx":["[MinKey, MaxKey]"]}}},{"stage":"IXSCAN","indexName":"k_compound_1_a_compound_1","indexBounds":{"k_compound":["[20.0, inf]"],"a_compound":["[2.0, 2.0]"]}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1_i_compound_1","indexBounds":{"a_compound":["[2.0, 2.0]"],"i_compound":["[null, null]"]}}},{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"a_compound_1","indexBounds":{"a_compound":["[-inf, 2.0]"]}}}]}}}},
"keys" : 881219,
"docs" : 379312,
"sorts": 17105,
"plans": 12,
"rows" : 81},
@ -1348,9 +1348,9 @@
"rows" : 254},
{">>>pipeline": [{"$match":{"$nor":[{"a_compound":{"$all":[19,2,19]}},{"i_noidx":{"$lte":6}},{"z_compound":{"$in":[19,4,8]}}],"a_compound":{"$nin":[20,20,7]},"k_compound":{"$ne":4}}},{"$sort":{"i_idx":1,"k_idx":-1}},{"$limit":70},{"$project":{"a_idx":1}}],
"winningPlan": {"stage":"PROJECTION_SIMPLE","inputStage":{"stage":"SORT","inputStage":{"stage":"FETCH","filter":true,"inputStage":{"stage":"IXSCAN","indexName":"z_compound_1","indexBounds":{"z_compound":["[MinKey, 4.0)","(4.0, 8.0)","(8.0, 19.0)","(19.0, MaxKey]"]}}}}},
"keys" : 92012,
"docs" : 92010,
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168
jstests/query_golden/expected_output/automaticCE/CBRCostBasedRankerChoice/plan_stability2
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276
jstests/query_golden/expected_output/automaticCE/CBRForNoMultiplanningResults/plan_stability
View File

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248
jstests/query_golden/expected_output/automaticCE/CBRForNoMultiplanningResults/plan_stability2
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250
jstests/query_golden/expected_output/automaticCE/HistogramCEWithHeuristicFallback/plan_stability
View File

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372
jstests/query_golden/expected_output/automaticCE/HistogramCEWithHeuristicFallback/plan_stability2
View File

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240
jstests/query_golden/expected_output/samplingCE/plan_stability
View File

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256
jstests/query_golden/expected_output/samplingCE/plan_stability2
View File

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@ -6540,9 +6540,9 @@
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@ -6836,9 +6836,9 @@
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@ -6908,9 +6908,9 @@
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@ -7380,8 +7380,8 @@
"rows" : 32472},
{">>>pipeline": [{"$match":{"field31_list_idx":{"$nin":[13,83]},"field11_Timestamp_idx":{"$lt":{"$timestamp":{"t":1766678471,"i":0}}},"$nor":[{"$or":[{"field18_bool_idx":{"$gte":false},"field6_mixed_idx":{"$size":16},"field22_list_idx":4},{"$and":[{"field24_mixed_idx":{"$elemMatch":{"$gt":824}},"field0_bool_idx":{"$ne":false},"field15_mixed_idx":{"$eq":"2024-03-27T00:00:00.000Z"}},{"field13_list_idx":[1,15,193,14,74,11],"field30_Decimal128_idx":{"$ne":{"$numberDecimal":"2.7"}},"field24_mixed_idx":{"$ne":{"$timestamp":{"t":1767139200,"i":0}}}},{"field20_Timestamp_idx":{"$gte":{"$timestamp":{"t":1727426630,"i":0}}},"field47_Timestamp":{"$gt":{"$timestamp":{"t":1735189051,"i":0}}}},{"field37_datetime":{"$gt":"2024-07-03T00:00:00.000Z"},"field6_mixed_idx":5545}]},{"field40_list":{"$elemMatch":{"$size":1}},"field30_Decimal128_idx":{"$gt":{"$numberDecimal":"2.39"}},"field5_dict_idx":{"$eq":{"b":1,"c":4}}}]},{"field27_bool_idx":{"$ne":false},"field22_list_idx":{"$elemMatch":{"$all":[]}}}],"$or":[{"field44_int":{"$lt":24330},"field14_dict_idx":{"$gte":{"b":1,"g":2}}},{"field16_str_idx":{"$gt":"Ta"},"field32_dict_idx":{"$ne":{"b":7}},"field31_list_idx":{"$size":15},"field7_str_idx":{"$regex":{"$regex":"^peh","$options":""}}}],"field6_mixed_idx":{"$nin":[67120,77531,69494,4819,38212,64708]},"field34_str_idx":{"$lt":"R"}}}],
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@ -7396,9 +7396,9 @@
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@ -7540,9 +7540,9 @@
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@ -7948,8 +7948,8 @@
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@ -8268,7 +8268,7 @@
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],
">>>totals": {"pipelines": 1032, "plans": 7958, "keys": 27665598, "docs": 26943285, "sorts": 9788519, "rows": 10011323, "errors": 0},
">>>totals": {"pipelines": 1032, "plans": 7958, "keys": 29209574, "docs": 28822016, "sorts": 9788519, "rows": 10011323, "errors": 0},
">>>parameters": {"featureFlagCostBasedRanker":{"value":true,"version":"8.3","fcv_gated":false,"currentlyEnabled":true},"internalQueryCBRCEMode":"samplingCE","samplingMarginOfError":5,"samplingConfidenceInterval":"95","internalQuerySamplingCEMethod":"chunk","internalQuerySamplingBySequentialScan":true}}

20
src/mongo/db/query/compiler/optimizer/cost_based_ranker/cardinality_estimator.cpp
View File

@ -421,6 +421,8 @@ OrderedIntervalList makeOpenOil(std::string fieldName) {
struct EqualityPrefix {
std::unique_ptr<IndexBounds> eqPrefixPtr;
bool isEqPrefix;
// TODO SERVER-100611: Remove this flag, and all references to it.
bool isIndexSkipScan;
};
/**
@ -431,15 +433,21 @@ struct EqualityPrefix {
EqualityPrefix equalityPrefix(const IndexBounds* node) {
auto eqPrefix = std::make_unique<IndexBounds>();
bool isEqPrefix = true;
bool isIndexSkipScan = false;
for (auto&& oil : node->fields) {
if (isEqPrefix) {
eqPrefix->fields.push_back(oil);
isEqPrefix = isEqPrefix && oil.isPoint();
} else {
// We set the 'isIndexSkipScan' flag to true if at any point after 'isEqPrefix' is false
// we encounter a non-fully open interval.
if (!oil.isFullyOpen() && oil.intervals.size() >= 1) {
isIndexSkipScan = true;
}
eqPrefix->fields.push_back(makeOpenOil(oil.name));
}
}
return EqualityPrefix{std::move(eqPrefix), isEqPrefix};
return EqualityPrefix{std::move(eqPrefix), isEqPrefix, isIndexSkipScan};
}
CEResult CardinalityEstimator::estimate(const IndexScanNode* node) {
@ -507,6 +515,9 @@ CEResult CardinalityEstimator::estimate(const IndexScanNode* node) {
// We can avoid computing input selectivity for sampling CE queries over
// non-multikey fields without residual filter.
auto prefix = equalityPrefix(&node->bounds);
if (prefix.isIndexSkipScan) {
return Status(ErrorCodes::UnsupportedCbrNode, "encountered index skip scan case");
}
if (prefix.isEqPrefix) {
// If the prefix is equal to all the bounds, the number of keys scanned is equal to
// the resulting docs.
@ -1165,6 +1176,9 @@ CEResult CardinalityEstimator::estimate(const IndexBounds* node) {
// TODO: avoid copies to construct the equality prefix. We could do this by teaching
// SamplingEstimator or IndexBounds about the equality prefix concept.
auto eqPrefix = equalityPrefix(node);
if (eqPrefix.isIndexSkipScan) {
return Status(ErrorCodes::UnsupportedCbrNode, "encountered index skip scan case");
}
const auto eqPrefixPtr = eqPrefix.eqPrefixPtr.get();
return _ceCache.getOrCompute(std::move(eqPrefix.eqPrefixPtr), [&] {
return _samplingEstimator->estimateKeysScanned(*eqPrefixPtr);
@ -1201,6 +1215,10 @@ CEResult CardinalityEstimator::estimate(const IndexBounds* node) {
if (isEqPrefix) {
_conjSels.emplace_back(sel);
} else {
// TODO SERVER-100611: Remove this code.
if (!oil->isFullyOpen() && oil->intervals.size() >= 1) {
return Status(ErrorCodes::UnsupportedCbrNode, "encountered index skip scan case");
}
residualSels.emplace_back(sel);
}
isEqPrefix = isEqPrefix && oil->isPoint();

318
src/mongo/db/query/compiler/optimizer/cost_based_ranker/cardinality_estimator_test.cpp
View File

@ -64,20 +64,21 @@ TEST(CardinalityEstimator, ManyPointIntervals) {
ASSERT_EQ(getPlanHeuristicCE(*plan, 100.0), makeCard(50.0));
}
TEST(CardinalityEstimator, CompoundIndex) {
auto testNss = NamespaceString::createNamespaceString_forTest("testdb.coll");
IndexBounds bounds;
std::vector<std::string> indexFields = {"a", "b", "c", "d", "e"};
for (size_t i = 0; i < indexFields.size(); ++i) {
OrderedIntervalList oil(indexFields[i]);
for (size_t j = 0; j < 7; ++j) {
oil.intervals.push_back(IndexBoundsBuilder::makePointInterval(i * j));
}
bounds.fields.push_back(oil);
}
auto plan = makeIndexScanFetchPlan(testNss, std::move(bounds), indexFields);
ASSERT_EQ(getPlanHeuristicCE(*plan, 100.0), makeCard(51.2341));
}
// TODO SERVER-100611: re-enable this test.
// TEST(CardinalityEstimator, CompoundIndex) {
// auto testNss = NamespaceString::createNamespaceString_forTest("testdb.coll");
// IndexBounds bounds;
// std::vector<std::string> indexFields = {"a", "b", "c", "d", "e"};
// for (size_t i = 0; i < indexFields.size(); ++i) {
// OrderedIntervalList oil(indexFields[i]);
// for (size_t j = 0; j < 7; ++j) {
// oil.intervals.push_back(IndexBoundsBuilder::makePointInterval(i * j));
// }
// bounds.fields.push_back(oil);
// }
// auto plan = makeIndexScanFetchPlan(testNss, std::move(bounds), indexFields);
// ASSERT_EQ(getPlanHeuristicCE(*plan, 100.0), makeCard(51.2341));
// }
TEST(CardinalityEstimator, PointMoreSelectiveThanRange) {
auto testNss = NamespaceString::createNamespaceString_forTest("testdb.coll");
@ -992,5 +993,294 @@ TEST(CardinalityEstimator, SamplingCECompareIndexWithSample) {
}
}
// Helpers shared by EqualityPrefixHeuristicCETest and EqualityPrefixSamplingCETest.
namespace {
OrderedIntervalList makeFullyOpenOil(const std::string& fieldName) {
OrderedIntervalList oil(fieldName);
IndexBoundsBuilder::allValuesForField(BSON(fieldName << 1).firstElement(), &oil);
return oil;
}
OrderedIntervalList makeRangeOil(const std::string& fieldName) {
OrderedIntervalList oil(fieldName);
oil.intervals.push_back(IndexBoundsBuilder::makeRangeInterval(
BSON("" << 3 << " " << 7), BoundInclusion::kIncludeBothStartAndEndKeys));
return oil;
}
OrderedIntervalList makePointOil(const std::string& fieldName) {
return makePointInterval(5.0, fieldName);
}
// An empty OIL represents an unsatisfiable predicate — no values can match.
OrderedIntervalList makeEmptyOil(const std::string& fieldName) {
return OrderedIntervalList(fieldName);
}
// Non-fullyOpen OIL with multiple intervals, e.g. representing an $in predicate.
OrderedIntervalList makeMultiIntervalOil(const std::string& fieldName) {
OrderedIntervalList oil(fieldName);
oil.intervals.push_back(IndexBoundsBuilder::makePointInterval(1.0));
oil.intervals.push_back(IndexBoundsBuilder::makePointInterval(3.0));
oil.intervals.push_back(IndexBoundsBuilder::makePointInterval(5.0));
return oil;
}
std::unique_ptr<QuerySolution> makeEqualityPrefixPlan(IndexBounds bounds) {
std::vector<std::string> indexFields;
for (const auto& oil : bounds.fields) {
indexFields.push_back(oil.name);
}
const auto testNss = NamespaceString::createNamespaceString_forTest("testdb.coll");
return makeIndexScanFetchPlan(testNss, std::move(bounds), indexFields);
}
} // namespace
// Fixture for testing the index skip scan detection cases via heuristic CE.
class EqualityPrefixHeuristicCETest : public unittest::Test {
protected:
void assertSkipScan(IndexBounds bounds) {
auto plan = makeEqualityPrefixPlan(std::move(bounds));
const auto ceRes = getPlanCE(*plan, _collInfo, QueryPlanRankerModeEnum::kHeuristicCE);
ASSERT(!ceRes.isOK() && ceRes.getStatus().code() == ErrorCodes::UnsupportedCbrNode);
}
void assertNotSkipScan(IndexBounds bounds) {
auto plan = makeEqualityPrefixPlan(std::move(bounds));
const auto ceRes = getPlanCE(*plan, _collInfo, QueryPlanRankerModeEnum::kHeuristicCE);
ASSERT(ceRes.isOK());
}
private:
const CollectionInfo _collInfo =
buildCollectionInfo({}, makeCollStatsWithHistograms({}, 100.0));
};
// Fixture for testing the index skip scan detection cases via sampling CE.
// The skip scan check in the sampling path goes through equalityPrefix() directly (unlike the
// heuristic path which has its own inline check).
class EqualityPrefixSamplingCETest : public ce::SamplingEstimatorTest {
protected:
void setUp() override {
ce::SamplingEstimatorTest::setUp();
_samplingEstimator.emplace(createSamplingEstimatorForTesting(100, 50, ce::NoProjection{}));
}
void assertSkipScan(IndexBounds bounds) {
auto plan = makeEqualityPrefixPlan(std::move(bounds));
EstimateMap qsnEstimates;
auto collInfo = buildCollectionInfo({}, makeCollStatsWithHistograms({}, 100.0));
CardinalityEstimator estimator{
collInfo, &*_samplingEstimator, qsnEstimates, QueryPlanRankerModeEnum::kSamplingCE};
const auto ceRes = estimator.estimatePlan(*plan);
ASSERT(!ceRes.isOK() && ceRes.getStatus().code() == ErrorCodes::UnsupportedCbrNode);
}
void assertNotSkipScan(IndexBounds bounds) {
auto plan = makeEqualityPrefixPlan(std::move(bounds));
EstimateMap qsnEstimates;
auto collInfo = buildCollectionInfo({}, makeCollStatsWithHistograms({}, 100.0));
CardinalityEstimator estimator{
collInfo, &*_samplingEstimator, qsnEstimates, QueryPlanRankerModeEnum::kSamplingCE};
const auto ceRes = estimator.estimatePlan(*plan);
ASSERT(ceRes.isOK());
}
private:
boost::optional<ce::SamplingEstimatorForTesting> _samplingEstimator;
};
template <typename Fixture>
class EqualityPrefixTypedTest : public Fixture {};
using EqualityPrefixFixtures =
::testing::Types<EqualityPrefixHeuristicCETest, EqualityPrefixSamplingCETest>;
// The TYPED_TEST_SUITE allows the following tests to be run under both test fixtures enumerated.
TYPED_TEST_SUITE(EqualityPrefixTypedTest, EqualityPrefixFixtures);
// OIL list: [eqPrefix, fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_FullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeRangeOil("c"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, non-fullyOpen, fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_NonFullyOpen_FullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeRangeOil("b"));
bounds.fields.push_back(makeFullyOpenOil("c"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_FullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeRangeOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, FullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeFullyOpenOil("a"));
bounds.fields.push_back(makeRangeOil("b"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [non-fullyOpen, fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, NonFullyOpen_FullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeRangeOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [non-fullyOpen, fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, NonFullyOpen_FullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeRangeOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeRangeOil("c"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [non-fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, NonFullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeRangeOil("a"));
bounds.fields.push_back(makeRangeOil("b"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, empty]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_Empty) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeEmptyOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [fullyOpen, empty]
TYPED_TEST(EqualityPrefixTypedTest, FullyOpen_Empty) {
IndexBounds bounds;
bounds.fields.push_back(makeFullyOpenOil("a"));
bounds.fields.push_back(makeEmptyOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [empty, range]
TYPED_TEST(EqualityPrefixTypedTest, Empty_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeEmptyOil("a"));
bounds.fields.push_back(makeRangeOil("b"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [empty, fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, Empty_FullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeEmptyOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// The following cases repeat the above patterns using a multi-interval non-fullyOpen OIL
// (e.g. from an $in predicate) to confirm that the skip scan detection is not sensitive to
// whether the non-fullyOpen OIL has one or many intervals.
// OIL list: [eqPrefix, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeMultiIntervalOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, fullyOpen, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_FullyOpen_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeMultiIntervalOil("c"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [fullyOpen, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, FullyOpen_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makeFullyOpenOil("a"));
bounds.fields.push_back(makeMultiIntervalOil("b"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [multiInterval, fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, MultiInterval_FullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeMultiIntervalOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
this->assertNotSkipScan(std::move(bounds));
}
// OIL list: [multiInterval, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, MultiInterval_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makeMultiIntervalOil("a"));
bounds.fields.push_back(makeMultiIntervalOil("b"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, fullyOpen, fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_FullyOpen_FullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeFullyOpenOil("c"));
bounds.fields.push_back(makeRangeOil("d"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [eqPrefix, fullyOpen, fullyOpen, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, EqPrefix_FullyOpen_FullyOpen_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makePointOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeFullyOpenOil("c"));
bounds.fields.push_back(makeMultiIntervalOil("d"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [non-fullyOpen, fullyOpen, fullyOpen, non-fullyOpen]
TYPED_TEST(EqualityPrefixTypedTest, NonFullyOpen_FullyOpen_FullyOpen_NonFullyOpen) {
IndexBounds bounds;
bounds.fields.push_back(makeRangeOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeFullyOpenOil("c"));
bounds.fields.push_back(makeRangeOil("d"));
this->assertSkipScan(std::move(bounds));
}
// OIL list: [non-fullyOpen, fullyOpen, fullyOpen, multiInterval]
TYPED_TEST(EqualityPrefixTypedTest, NonFullyOpen_FullyOpen_FullyOpen_MultiInterval) {
IndexBounds bounds;
bounds.fields.push_back(makeRangeOil("a"));
bounds.fields.push_back(makeFullyOpenOil("b"));
bounds.fields.push_back(makeFullyOpenOil("c"));
bounds.fields.push_back(makeMultiIntervalOil("d"));
this->assertSkipScan(std::move(bounds));
}
} // unnamed namespace
} // namespace mongo::cost_based_ranker

5
src/mongo/dbtests/plan_ranking.cpp
View File

@ -700,8 +700,9 @@ public:
const std::string bestPlan("{fetch: {node: {ixscan: {pattern: {a: 1}}}}}");
auto soln = pickBestPlan(cq.get());
ASSERT(QueryPlannerTestLib::solutionMatches(bestPlan, soln->root()).isOK());
auto cbrSoln = bestCBRPlan(cq.get(), static_cast<size_t>(docCount));
ASSERT(QueryPlannerTestLib::solutionMatches(bestPlan, cbrSoln->root()).isOK());
// TODO SERVER-100611: re-enable these tests.
// auto cbrSoln = bestCBRPlan(cq.get(), static_cast<size_t>(docCount));
// ASSERT(QueryPlannerTestLib::solutionMatches(bestPlan, cbrSoln->root()).isOK());
}
};