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/**
* Tests index usage on meta and time fields for timeseries collections.
*
* @tags: [
* # Explain of a resolved view must be executed by mongos.
* directly_against_shardsvrs_incompatible,
* # Refusing to run a test that issues an aggregation command with explain because it may return
* # incomplete results if interrupted by a stepdown.
* does_not_support_stepdowns,
* # Tests that optimization produces expected query plans.
* requires_pipeline_optimization,
* # We need a timeseries collection.
* requires_timeseries,
* ]
*/
(function() {
"use strict";
load("jstests/core/timeseries/libs/timeseries.js");
load("jstests/libs/analyze_plan.js");
const generateTest = (useHint) => {
return (insert) => {
const testDB = db.getSiblingDB(jsTestName());
assert.commandWorked(testDB.dropDatabase());
// Create timeseries collection.
const timeFieldName = 'ts';
const metaFieldName = 'mm';
const coll = testDB.getCollection('t');
const bucketsColl = testDB.getCollection('system.buckets.' + coll.getName());
/**
* Sets up an empty time-series collection with options 'collOpts' on namespace 't' using
* 'timeFieldName' and 'metaFieldName'. Checks that the buckets collection is created, as
* well.
*/
function resetCollections(collOpts = {}) {
coll.drop(); // implicitly drops bucketsColl.
assert.commandWorked(testDB.createCollection(
coll.getName(),
Object.assign({timeseries: {timeField: timeFieldName, metaField: metaFieldName}},
collOpts)));
if (TimeseriesTest.timeseriesScalabilityImprovementsEnabled(db)) {
// When enabled, the {meta: 1, time: 1} index gets built by default on the
// time-series bucket collection. When this index is present, the query planner will
// use it, changing the expected behaviour of this test. Drop the index.
assert.commandWorked(coll.dropIndex({[metaFieldName]: 1, [timeFieldName]: 1}));
}
const dbCollNames = testDB.getCollectionNames();
assert.contains(bucketsColl.getName(),
dbCollNames,
"Failed to find namespace '" + bucketsColl.getName() +
"' amongst: " + tojson(dbCollNames));
}
/**
* Creates the index specified by the spec and options, then explains the query to ensure
* that the created index is used or was considered by multi-planner.
* Runs the query and verifies that the expected number of documents are matched.
* Finally, deletes the created index.
*/
const testQueryUsesIndex = function(
filter, numMatches, indexSpec, indexOpts = {}, queryOpts = {}) {
assert.commandWorked(
coll.createIndex(indexSpec, Object.assign({name: "testIndexName"}, indexOpts)));
let query = coll.find(filter);
if (useHint)
query = query.hint(indexSpec);
if (queryOpts.collation)
query = query.collation(queryOpts.collation);
assert.eq(numMatches, query.itcount());
const explain = query.explain();
if (useHint) {
const ixscan = getAggPlanStage(explain, "IXSCAN");
assert.neq(null, ixscan, tojson(explain));
assert.eq("testIndexName", ixscan.indexName, tojson(ixscan));
} else {
let ixscan = getAggPlanStage(explain, "IXSCAN");
// If ixscan is not present, check rejected plans
if (ixscan === null) {
const rejectedPlans =
getRejectedPlans(getAggPlanStage(explain, "$cursor")["$cursor"]);
assert.eq(1, rejectedPlans.length);
const ixscans = getPlanStages(getRejectedPlan(rejectedPlans[0]), "IXSCAN");
assert.eq(1, ixscans.length);
ixscan = ixscans[0];
}
assert.eq("testIndexName", ixscan.indexName, tojson(ixscan));
}
assert.commandWorked(coll.dropIndex("testIndexName"));
};
/**
* Creates the index specified by the spec and options, then explains the query to ensure
* that the created index is used. Runs the query and verifies that the expected number of
* documents are matched. Finally, deletes the created index.
*/
const testAggregationUsesIndex = function(
pipeline, numMatches, indexSpec, stageType = "IXSCAN", indexOpts = {}) {
assert.commandWorked(
coll.createIndex(indexSpec, Object.assign({name: "testIndexName"}, indexOpts)));
let aggregation = coll.aggregate(pipeline);
assert.eq(numMatches, aggregation.itcount());
const options = useHint ? {hint: indexSpec} : {};
const explain = coll.explain().aggregate(pipeline, options);
const ixscan = getAggPlanStage(explain, stageType);
assert.neq(null, ixscan, tojson(explain));
assert.eq("testIndexName", ixscan.indexName, tojson(ixscan));
assert.commandWorked(coll.dropIndex("testIndexName"));
};
/******************************* Tests scalar meta values *********************************/
resetCollections();
assert.commandWorked(insert(coll, [
{_id: 0, [timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'), [metaFieldName]: 2},
{_id: 1, [timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'), [metaFieldName]: 3},
{_id: 2, [timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'), [metaFieldName]: 2}
]));
const timeDate = ISODate('2005-01-01 00:00:00.000Z');
// Test ascending and descending index on timeField.
if (!FixtureHelpers.isSharded(bucketsColl)) {
// Skip if the collection is implicitly sharded: it may use the implicitly created
// index.
testQueryUsesIndex({[timeFieldName]: {$lte: timeDate}}, 2, {[timeFieldName]: 1});
testQueryUsesIndex({[timeFieldName]: {$gte: timeDate}}, 1, {[timeFieldName]: -1});
}
// Test ascending and descending index on metaField.
testQueryUsesIndex({[metaFieldName]: {$eq: 3}}, 1, {[metaFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$lt: 3}}, 2, {[metaFieldName]: -1});
// Test compound indexes on metaField and timeField.
if (!FixtureHelpers.isSharded(bucketsColl)) {
// Skip if the collection is implicitly sharded: it may use the implicitly created
// index.
testQueryUsesIndex(
{[metaFieldName]: {$gte: 2}}, 3, {[metaFieldName]: 1, [timeFieldName]: 1});
testQueryUsesIndex(
{[timeFieldName]: {$lt: timeDate}}, 2, {[timeFieldName]: 1, [metaFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$lte: 3}, [timeFieldName]: {$gte: timeDate}},
1,
{[metaFieldName]: 1, [timeFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$eq: 2}, [timeFieldName]: {$lte: timeDate}},
1,
{[metaFieldName]: -1, [timeFieldName]: -1});
testQueryUsesIndex({[metaFieldName]: {$lt: 3}, [timeFieldName]: {$lte: timeDate}},
1,
{[timeFieldName]: 1, [metaFieldName]: -1});
}
/******************************** Tests object meta values ********************************/
resetCollections();
assert.commandWorked(insert(coll, [
{_id: 0, [timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'), [metaFieldName]: {a: 1}},
{
_id: 1,
[timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'),
[metaFieldName]: {a: 4, b: 5, loc: [1.0, 2.0]}
},
{
_id: 2,
[timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'),
[metaFieldName]: {a: "1", c: 0, loc: [-1.0, -2.0]}
}
]));
// Test indexes on subfields of metaField.
testQueryUsesIndex({[metaFieldName + '.a']: {$gt: 3}}, 1, {[metaFieldName + '.a']: 1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$type: 'string'}}, 1, {[metaFieldName + '.a']: -1});
testQueryUsesIndex(
{[metaFieldName + '.b']: {$gte: 0}}, 1, {[metaFieldName + '.b']: 1}, {sparse: true});
testQueryUsesIndex({[metaFieldName]: {$eq: {a: 1}}}, 1, {[metaFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$in: [{a: 1}, {a: 4, b: 5, loc: [1.0, 2.0]}]}},
2,
{[metaFieldName]: 1});
// Test compound indexes on multiple subfields of metaField.
testQueryUsesIndex({[metaFieldName + '.a']: {$lt: 3}},
1,
{[metaFieldName + '.a']: 1, [metaFieldName + '.b']: -1});
testQueryUsesIndex({[metaFieldName + '.a']: {$lt: 5}, [metaFieldName + '.b']: {$eq: 5}},
1,
{[metaFieldName + '.a']: -1, [metaFieldName + '.b']: 1});
testQueryUsesIndex(
{$or: [{[metaFieldName + '.a']: {$eq: 1}}, {[metaFieldName + '.a']: {$eq: "1"}}]},
2,
{[metaFieldName + '.a']: -1, [metaFieldName + '.b']: -1});
testQueryUsesIndex({[metaFieldName + '.b']: {$lte: 5}},
1,
{[metaFieldName + '.b']: 1, [metaFieldName + '.c']: 1},
{sparse: true});
testQueryUsesIndex({[metaFieldName + '.b']: {$lte: 5}, [metaFieldName + '.c']: {$lte: 4}},
0,
{[metaFieldName + '.b']: 1, [metaFieldName + '.c']: 1},
{sparse: true});
// Test compound indexes on timeField and subfields of metaField.
if (!FixtureHelpers.isSharded(bucketsColl)) {
// Skip if the collection is implicitly sharded: it may use the implicitly created
// index.
testQueryUsesIndex({[metaFieldName + '.a']: {$gte: 2}},
1,
{[metaFieldName + '.a']: 1, [timeFieldName]: 1});
testQueryUsesIndex({[timeFieldName]: {$lt: timeDate}},
2,
{[timeFieldName]: 1, [metaFieldName + '.a']: 1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$lte: 4}, [timeFieldName]: {$lte: timeDate}},
2,
{[metaFieldName + '.a']: 1, [timeFieldName]: 1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$lte: 4}, [timeFieldName]: {$lte: timeDate}},
2,
{[metaFieldName + '.a']: 1, [timeFieldName]: -1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$eq: "1"}, [timeFieldName]: {$gt: timeDate}},
1,
{[timeFieldName]: -1, [metaFieldName + '.a']: 1});
}
// Test wildcard indexes with metaField.
testQueryUsesIndex({[metaFieldName + '.a']: {$lt: 3}}, 1, {[metaFieldName + '.$**']: 1});
testQueryUsesIndex({[metaFieldName + '.b']: {$gt: 3}}, 1, {[metaFieldName + '.$**']: 1});
// Test hashed indexes on metaField.
testQueryUsesIndex({[metaFieldName]: {$eq: {a: 1}}}, 1, {[metaFieldName]: "hashed"});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$eq: 1}}, 1, {[metaFieldName + '.a']: "hashed"});
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: 1}},
1,
{[metaFieldName + '.a']: "hashed", [metaFieldName + '.b']: -1});
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: 1}, [metaFieldName + '.b']: {$gt: 0}},
0,
{[metaFieldName + '.a']: "hashed", [metaFieldName + '.b']: -1});
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: 1}, [metaFieldName + '.b']: {$gt: 0}},
0,
{[metaFieldName + '.b']: -1, [metaFieldName + '.a']: "hashed"});
// Test geo-type indexes on metaField.
testQueryUsesIndex({
[metaFieldName + '.loc']: {
$geoWithin: {
$geometry:
{type: "Polygon", coordinates: [[[0, 0], [0, 3], [3, 3], [3, 0], [0, 0]]]}
}
}
},
1,
{[metaFieldName + '.loc']: '2dsphere'});
testQueryUsesIndex({[metaFieldName + '.loc']: {$geoWithin: {$center: [[1.01, 2.01], 0.1]}}},
1,
{[metaFieldName + '.loc']: '2d'});
testAggregationUsesIndex(
[
{
$geoNear: {
near: {type: "Point", coordinates: [40.4, -70.4]},
distanceField: "dist",
spherical: true,
key: metaFieldName + '.loc'
}
},
{$limit: 1}
],
1,
{[metaFieldName + '.loc']: '2dsphere'},
"GEO_NEAR_2DSPHERE");
testAggregationUsesIndex(
[
{
$geoNear:
{near: [40.4, -70.4], distanceField: "dist", key: metaFieldName + '.loc'}
},
{$limit: 1}
],
1,
{[metaFieldName + '.loc']: '2d'},
"GEO_NEAR_2D");
/********************************* Tests array meta values ********************************/
resetCollections();
assert.commandWorked(insert(coll, [
{
_id: 0,
[timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'),
[metaFieldName]: [1, 2, 3]
},
{
_id: 1,
[timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'),
[metaFieldName]: ['a', 'b']
},
{
_id: 2,
[timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'),
[metaFieldName]: [{a: 1}, {b: 0}]
}
]));
// Test multikey indexes on metaField.
testQueryUsesIndex({[metaFieldName]: {$eq: {a: 1}}}, 1, {[metaFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$eq: 2}}, 1, {[metaFieldName]: 1});
testQueryUsesIndex({[metaFieldName]: {$gte: {a: 1}}}, 1, {[metaFieldName]: -1});
resetCollections();
assert.commandWorked(insert(coll, [
{
_id: 0,
[timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'),
[metaFieldName]: {a: [1, 2, 3], b: 0}
},
{
_id: 1,
[timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'),
[metaFieldName]: {a: ['a', 'b'], b: 1}
},
{
_id: 2,
[timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'),
[metaFieldName]: {a: [{b: 1}, {c: 0}]}
}
]));
// Test multikey indexes on subfields of metaFields.
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: {b: 1}}}, 1, {[metaFieldName + '.a']: 1});
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: 2}}, 1, {[metaFieldName + '.a']: 1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$gte: {a: 1}}}, 1, {[metaFieldName + '.a']: -1});
testQueryUsesIndex(
{[metaFieldName + '.a']: {$gte: 1}, [metaFieldName + '.b']: {$exists: 1}},
1,
{[metaFieldName + '.a']: -1, [metaFieldName + '.b']: 1});
/********************************* Tests string meta values *******************************/
const collation = {collation: {locale: 'en', strength: 1, numericOrdering: true}};
// Create timeseries collection with a collation.
resetCollections(collation);
assert.commandWorked(insert(coll, [
{
_id: 0,
[timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'),
[metaFieldName]: "hello hello"
},
{
_id: 1,
[timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'),
[metaFieldName]: "hello world"
},
{
_id: 2,
[timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'),
[metaFieldName]: "bye bye"
}
]));
// Test index on metaField when collection collation matches query collation.
testQueryUsesIndex(
{[metaFieldName]: {$eq: "bye bye"}}, 1, {[metaFieldName]: 1}, {}, collation);
testQueryUsesIndex(
{[metaFieldName]: {$gte: "hello hello"}}, 2, {[metaFieldName]: -1}, {}, collation);
resetCollections(collation);
assert.commandWorked(insert(coll, [
{
_id: 0,
[timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'),
[metaFieldName]: {a: "hello hello", b: "hello"}
},
{
_id: 1,
[timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'),
[metaFieldName]: {a: "hello world", b: "hello"}
},
{
_id: 2,
[timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'),
[metaFieldName]: {a: "bye bye", b: "bye"}
}
]));
// Test index on subfields of metaField when collection collation matches query collation.
testQueryUsesIndex({[metaFieldName + '.a']: {$eq: "bye bye"}},
1,
{[metaFieldName + '.a']: 1},
{},
collation);
testQueryUsesIndex({[metaFieldName + '.b']: {$gt: "bye bye"}},
2,
{[metaFieldName + '.b']: -1},
{},
collation);
/*********************************** Tests $expr predicates *******************************/
resetCollections();
assert.commandWorked(insert(coll, [
{_id: 0, [timeFieldName]: ISODate('1990-01-01 00:00:00.000Z'), [metaFieldName]: 2},
{_id: 1, [timeFieldName]: ISODate('2000-01-01 00:00:00.000Z'), [metaFieldName]: 3},
{_id: 2, [timeFieldName]: ISODate('2010-01-01 00:00:00.000Z'), [metaFieldName]: 2}
]));
if (!FixtureHelpers.isSharded(bucketsColl)) {
// Skip if the collection is implicitly sharded: it may use the implicitly created
// index.
testAggregationUsesIndex([{
$match: {
$expr: {
$and: [
{$gt: ["$" + timeFieldName, timeDate]},
{$eq: ["$" + metaFieldName, 2]}
]
}
}
}],
1,
{[timeFieldName]: 1, [metaFieldName]: 1});
}
};
};
// Run the test twice, once without hinting the index, and again hinting the index by spec.
TimeseriesTest.run(generateTest(false));
TimeseriesTest.run(generateTest(true));
})();
|
