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'use strict';
/**
* group_cond.js
*
* Inserts 1000 documents with a field set to a random
* float value. The group command is then used to partition these documents
* into one of ten buckets:
* [0, 0.09x), [0.10, 0.19x), ..., [0.80, 0.89x), [0.90, 1.0)
*
* To increase testing coverage, the float field is indexed and
* a 'cond' document is supplied to the group command.
*
*/
load('jstests/concurrency/fsm_libs/extend_workload.js'); // for extendWorkload
load('jstests/concurrency/fsm_workloads/group.js'); // for $config
var $config =
extendWorkload($config,
function($config, $super) {
$config.setup = function setup(db, collName, cluster) {
$super.setup.apply(this, arguments);
assertAlways.commandWorked(db[collName].ensureIndex({rand: 1}));
};
$config.states.group = function group(db, collName) {
var cmdObj = this.generateGroupCmdObj(collName);
cmdObj.group.cond = {
rand: {$gte: 0.5}
};
var res = db.runCommand(cmdObj);
assertWhenOwnColl.commandWorked(res);
assertWhenOwnColl.lte(res.count, this.numDocs);
assertWhenOwnColl.lte(res.keys, 5);
assertWhenOwnColl(function() {
assertWhenOwnColl.lte(res.retval.length, 5);
assertWhenOwnColl.eq(this.sumBucketCount(res.retval), res.count);
}.bind(this));
};
return $config;
});
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