mirror of
https://github.com/mongodb/mongo.git
synced 2024-12-01 01:21:03 +01:00
128 lines
6.0 KiB
JavaScript
128 lines
6.0 KiB
JavaScript
// Tests that an aggregation that only needs a finite set of fields to do its computations can
|
|
// sometimes use the query system to provide a covered plan which only returns those fields without
|
|
// fetching the full document.
|
|
//
|
|
// Relies on the initial $match being pushed into the query system in order for the planner to
|
|
// consider an index scan, so the pipelines cannot be wrapped in facet stages.
|
|
// @tags: [do_not_wrap_aggregations_in_facets]
|
|
(function() {
|
|
"use strict";
|
|
|
|
load("jstests/libs/analyze_plan.js"); // For 'aggPlanHasStage' and other explain helpers.
|
|
|
|
const coll = db.use_query_projection;
|
|
coll.drop();
|
|
|
|
const bulk = coll.initializeUnorderedBulkOp();
|
|
for (let i = 0; i < 100; ++i) {
|
|
bulk.insert({_id: i, x: "string", a: -i, y: i % 2});
|
|
}
|
|
assert.writeOK(bulk.execute());
|
|
|
|
function assertQueryCoversProjection({pipeline = [], pipelineOptimizedAway = true} = {}) {
|
|
const explainOutput = coll.explain().aggregate(pipeline);
|
|
|
|
if (pipelineOptimizedAway) {
|
|
assert(isQueryPlan(explainOutput));
|
|
assert(!planHasStage(db, explainOutput, "FETCH"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" *not* to include a FETCH stage in the explain output: " +
|
|
tojson(explainOutput));
|
|
assert(planHasStage(db, explainOutput, "IXSCAN"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" to include an index scan in the explain output: " + tojson(explainOutput));
|
|
} else {
|
|
assert(isAggregationPlan(explainOutput));
|
|
assert(!aggPlanHasStage(explainOutput, "FETCH"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" *not* to include a FETCH stage in the explain output: " +
|
|
tojson(explainOutput));
|
|
assert(aggPlanHasStage(explainOutput, "IXSCAN"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" to include an index scan in the explain output: " + tojson(explainOutput));
|
|
}
|
|
assert(!hasRejectedPlans(explainOutput),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" not to have any rejected plans in the explain output: " +
|
|
tojson(explainOutput));
|
|
return explainOutput;
|
|
}
|
|
|
|
function assertQueryDoesNotCoverProjection({pipeline = [], pipelineOptimizedAway = true} = {}) {
|
|
const explainOutput = coll.explain().aggregate(pipeline);
|
|
|
|
if (pipelineOptimizedAway) {
|
|
assert(isQueryPlan(explainOutput));
|
|
assert(planHasStage(db, explainOutput, "FETCH") || aggPlanHasStage("COLLSCAN"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" to include a FETCH or COLLSCAN stage in the explain output: " +
|
|
tojson(explainOutput));
|
|
assert(!hasRejectedPlans(explainOutput),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" not to have any rejected plans in the explain output: " +
|
|
tojson(explainOutput));
|
|
} else {
|
|
assert(isAggregationPlan(explainOutput));
|
|
assert(aggPlanHasStage(explainOutput, "FETCH") || aggPlanHasStage("COLLSCAN"),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" to include a FETCH or COLLSCAN stage in the explain output: " +
|
|
tojson(explainOutput));
|
|
assert(!hasRejectedPlans(explainOutput),
|
|
"Expected pipeline " + tojsononeline(pipeline) +
|
|
" not to have any rejected plans in the explain output: " +
|
|
tojson(explainOutput));
|
|
}
|
|
|
|
return explainOutput;
|
|
}
|
|
|
|
assert.commandWorked(coll.createIndex({x: 1, a: -1, _id: 1}));
|
|
|
|
// Test that a pipeline requiring a subset of the fields in a compound index can use that index
|
|
// to cover the query.
|
|
assertQueryCoversProjection({pipeline: [{$match: {x: "string"}}, {$project: {_id: 1, x: 1}}]});
|
|
assertQueryCoversProjection({pipeline: [{$match: {x: "string"}}, {$project: {_id: 0, x: 1}}]});
|
|
assertQueryCoversProjection(
|
|
{pipeline: [{$match: {x: "string"}}, {$project: {_id: 0, x: 1, a: 1}}]});
|
|
assertQueryCoversProjection(
|
|
{pipeline: [{$match: {x: "string"}}, {$project: {_id: 1, x: 1, a: 1}}]});
|
|
assertQueryCoversProjection(
|
|
{pipeline: [{$match: {_id: 0, x: "string"}}, {$project: {_id: 1, x: 1, a: 1}}]});
|
|
|
|
// Test that a pipeline requiring a field that is not in the index cannot use a covered plan.
|
|
assertQueryDoesNotCoverProjection({
|
|
pipeline: [{$match: {x: "string"}}, {$project: {notThere: 1}}],
|
|
pipelineOptimizedAway: false
|
|
});
|
|
|
|
// Test that a covered plan is the only plan considered, even if another plan would be equally
|
|
// selective. Add an equally selective index, then rely on assertQueryCoversProjection() to
|
|
// assert that there is only one considered plan, and it is a covered plan.
|
|
assert.commandWorked(coll.createIndex({x: 1}));
|
|
assertQueryCoversProjection({
|
|
pipeline: [
|
|
{$match: {_id: 0, x: "string"}},
|
|
{
|
|
$sort: {
|
|
x: 1,
|
|
a: 1
|
|
}
|
|
}, // Note: not indexable, but doesn't add any additional dependencies.
|
|
{$project: {_id: 1, x: 1, a: 1}},
|
|
],
|
|
pipelineOptimizedAway: false
|
|
});
|
|
|
|
// Test that a multikey index will prevent a covered plan.
|
|
assert.commandWorked(coll.dropIndex({x: 1})); // Make sure there is only one plan considered.
|
|
assert.writeOK(coll.insert({x: ["an", "array!"]}));
|
|
assertQueryDoesNotCoverProjection({
|
|
pipeline: [{$match: {x: "string"}}, {$project: {_id: 1, x: 1}}],
|
|
pipelineOptimizedAway: false
|
|
});
|
|
assertQueryDoesNotCoverProjection({
|
|
pipeline: [{$match: {x: "string"}}, {$project: {_id: 1, x: 1, a: 1}}],
|
|
pipelineOptimizedAway: false
|
|
});
|
|
}());
|