mirror of https://github.com/mongodb/mongo
46 lines
1.1 KiB
JavaScript
46 lines
1.1 KiB
JavaScript
// Assorted $elemMatch behavior checks.
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// @tags: [
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// requires_getmore,
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// # Time series collections do not support indexing array values in measurement fields.
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// exclude_from_timeseries_crud_passthrough,
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// ]
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let t = db.jstests_arrayfind9;
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t.drop();
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// Top level field $elemMatch:$not matching
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t.save({a: [1]});
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assert.eq(1, t.count({a: {$elemMatch: {$not: {$ne: 1}}}}));
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// Top level field object $elemMatch matching.
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t.drop();
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t.save({a: [{}]});
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assert.eq(1, t.count({a: {$elemMatch: {$gte: {}}}}));
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// Top level field array $elemMatch matching.
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t.drop();
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t.save({a: [[]]});
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assert.eq(1, t.count({a: {$elemMatch: {$in: [[]]}}}));
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// Matching by array index.
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t.drop();
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t.save({a: [["x"]]});
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assert.eq(1, t.count({a: {$elemMatch: {"0": "x"}}}));
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// Matching multiple values of a nested array.
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t.drop();
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t.save({a: [{b: [0, 2]}]});
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t.createIndex({a: 1});
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t.createIndex({"a.b": 1});
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let plans = [{$natural: 1}, {a: 1}, {"a.b": 1}];
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for (let i in plans) {
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let p = plans[i];
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assert.eq(
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1,
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t
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.find({a: {$elemMatch: {b: {$gte: 1, $lte: 1}}}})
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.hint(p)
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.itcount(),
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);
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}
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