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'use strict';
/**
* agg_graph_lookup.js
*
* Runs a $graphLookup aggregation simultaneously with updates.
*/
var $config = (function() {
var data = {numDocs: 1000};
var states = {
query: function query(db, collName) {
var limitAmount = 20;
var startingId = Random.randInt(this.numDocs - limitAmount);
var res = db[collName]
.aggregate([
{$match: {_id: {$gt: startingId}}},
{
$graphLookup: {
from: collName,
startWith: "$to",
connectToField: "_id",
connectFromField: "to",
maxDepth: 10,
as: "out",
}
},
{$limit: limitAmount}
])
.toArray();
assertWhenOwnColl.eq(res.length, limitAmount);
},
update: function update(db, collName) {
var index = Random.randInt(this.numDocs + 1);
var update = Random.randInt(this.numDocs + 1);
var res = db[collName].update({_id: index}, {$set: {to: update}});
assertWhenOwnColl.writeOK(res);
}
};
var transitions = {query: {query: 0.5, update: 0.5}, update: {query: 0.5, update: 0.5}};
function setup(db, collName, cluster) {
// Load example data.
var bulk = db[collName].initializeUnorderedBulkOp();
for (var i = 0; i < this.numDocs; ++i) {
bulk.insert({_id: i, to: i + 1});
}
var res = bulk.execute();
assertWhenOwnColl.writeOK(res);
assertWhenOwnColl.eq(this.numDocs, res.nInserted);
assertWhenOwnColl.eq(this.numDocs, db[collName].find().itcount());
}
return {
threadCount: 10,
iterations: 100,
states: states,
startState: 'query',
transitions: transitions,
data: data,
setup: setup,
};
})();
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