mirror of https://github.com/mongodb/mongo
163 lines
5.0 KiB
JavaScript
163 lines
5.0 KiB
JavaScript
/**
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* This is the test for $documents stage in aggregation pipeline on a sharded collection.
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* @tags: [ do_not_wrap_aggregations_in_facets, requires_fcv_51 ]
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*
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*/
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import {resultsEq} from "jstests/aggregation/extras/utils.js";
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import {ShardingTest} from "jstests/libs/shardingtest.js";
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let st = new ShardingTest({shards: 2});
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const db = st.s.getDB(jsTestName());
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const dbName = db.getName();
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assert.commandWorked(db.adminCommand({enableSharding: dbName}));
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// Create sharded collections.
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const coll = db["shardedColl"];
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st.shardColl(coll, {x: 1}, {x: 1}, {x: 1}, dbName);
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const lookup_coll = db["lookupColl"];
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st.shardColl(lookup_coll, {id_name: 1}, {id_name: 1}, {id_name: 1}, dbName);
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for (let i = 0; i < 10; i++) {
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assert.commandWorked(lookup_coll.insert({id_name: i, name: "name_" + i}));
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}
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// $documents given an array of objects.
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const docs = db.aggregate([{$documents: [{a1: 1}, {a1: 2}]}]).toArray();
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assert.eq(2, docs.length);
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assert.eq(docs[0], {a1: 1});
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assert.eq(docs[1], {a1: 2});
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// $documents evaluates to an array of objects.
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const docs1 = db.aggregate([{$documents: {$map: {input: {$range: [0, 100]}, in: {x: "$$this"}}}}]).toArray();
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assert.eq(100, docs1.length);
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for (let i = 0; i < 100; i++) {
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assert.eq(docs1[i], {x: i});
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}
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// $documents evaluates to an array of objects.
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const docsUnionWith = coll
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.aggregate([
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{
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$unionWith: {
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pipeline: [{$documents: {$map: {input: {$range: [0, 5]}, in: {x: "$$this"}}}}],
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},
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},
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{$group: {_id: "$x", x: {$first: "$x"}}},
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{$project: {_id: 0}},
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])
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.toArray();
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assert(resultsEq([{x: 0}, {x: 1}, {x: 2}, {x: 3}, {x: 4}], docsUnionWith));
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{
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// $documents with const objects inside $unionWith.
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const res = coll
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.aggregate([
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{$unionWith: {pipeline: [{$documents: [{x: 1}, {x: 2}]}]}},
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{$group: {_id: "$x", x: {$first: "$x"}}},
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{$project: {_id: 0}},
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])
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.toArray();
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assert(resultsEq([{x: 1}, {x: 2}], res));
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}
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{
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// $documents with const objects inside $lookup (no "coll", explicit $match).
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const res = lookup_coll
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.aggregate([
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{
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$lookup: {
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let: {"id_lookup": "$id_name"},
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pipeline: [
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{$documents: [{xx: 1}, {xx: 2}, {xx: 3}]},
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{
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$match: {
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$expr: {
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$eq: ["$$id_lookup", "$xx"],
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},
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},
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},
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],
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as: "names",
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},
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},
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{$match: {"names": {"$ne": []}}},
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{$project: {_id: 0}},
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])
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.toArray();
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assert(
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resultsEq(
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[
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{id_name: 1, name: "name_1", names: [{"xx": 1}]},
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{id_name: 2, name: "name_2", names: [{"xx": 2}]},
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{id_name: 3, name: "name_3", names: [{"xx": 3}]},
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],
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res,
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),
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);
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}
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{
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// $documents with const objects inside $lookup (no "coll", + localField/foreignField).
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const res = lookup_coll
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.aggregate([
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{
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$lookup: {
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localField: "id_name",
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foreignField: "xx",
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pipeline: [{$documents: [{xx: 1}, {xx: 2}, {xx: 3}]}],
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as: "names",
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},
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},
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{$match: {"names": {"$ne": []}}},
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{$project: {_id: 0}},
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])
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.toArray();
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assert(
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resultsEq(
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[
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{id_name: 1, name: "name_1", names: [{"xx": 1}]},
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{id_name: 2, name: "name_2", names: [{"xx": 2}]},
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{id_name: 3, name: "name_3", names: [{"xx": 3}]},
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],
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res,
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),
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);
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}
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// Must fail when $document appears in the top level collection pipeline.
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assert.throwsWithCode(() => {
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coll.aggregate([{$documents: {$map: {input: {$range: [0, 100]}, in: {x: "$$this"}}}}]);
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}, ErrorCodes.InvalidNamespace);
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// Must fail due to misplaced $document.
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assert.throwsWithCode(() => {
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coll.aggregate([{$project: {x: [{xx: 1}, {xx: 2}]}}, {$documents: [{x: 1}]}]);
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}, 40602);
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// Test that $documents fails due to producing array of non-objects.
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assert.throwsWithCode(() => {
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db.aggregate([{$documents: [1, 2, 3]}]);
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}, 40228);
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// Now with one object and one scalar.
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assert.throwsWithCode(() => {
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db.aggregate([{$documents: [{x: 1}, 2]}]);
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}, 40228);
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// Test that $documents fails due when provided a non-array.
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assert.throwsWithCode(() => {
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db.aggregate([{$documents: "string"}]);
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}, [40228, 5858203]);
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// Test that $documents succeeds when given a singleton object.
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assert.eq(db.aggregate([{$documents: [{x: [1, 2, 3]}]}]).toArray(), [{x: [1, 2, 3]}]);
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// Must fail when $document appears in the top level collection pipeline.
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assert.throwsWithCode(() => {
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coll.aggregate([{$documents: {$map: {input: {$range: [0, 100]}, in: {x: "$$this"}}}}]);
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}, ErrorCodes.InvalidNamespace);
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st.stop();
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