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'use strict';
/**
* map_reduce_merge.js
*
* Generates some random data and inserts it into a collection. Runs a
* map-reduce command over the collection that computes the frequency
* counts of the 'value' field and stores the results in an existing
* collection on a separate database.
*
* Uses the "merge" action to combine the results with the contents
* of the output collection.
*
* Writes the results of each thread to the same collection.
* @tags: [
* # mapReduce does not support afterClusterTime.
* does_not_support_causal_consistency,
* ]
*/
load('jstests/concurrency/fsm_libs/extend_workload.js'); // for extendWorkload
load('jstests/concurrency/fsm_workloads/map_reduce_inline.js'); // for $config
var $config = extendWorkload($config, function($config, $super) {
// Use the workload name as the database name,
// since the workload name is assumed to be unique.
var uniqueDBName = 'map_reduce_merge';
$config.states.init = function init(db, collName) {
$super.states.init.apply(this, arguments);
this.outDBName = db.getName() + uniqueDBName;
};
$config.states.mapReduce = function mapReduce(db, collName) {
var outDB = db.getSiblingDB(this.outDBName);
var fullName = outDB[collName].getFullName();
assertAlways(outDB[collName].exists() !== null,
"output collection '" + fullName + "' should exist");
// Have all threads combine their results into the same collection
var options = {finalize: this.finalizer, out: {merge: collName, db: this.outDBName}};
var res = db[collName].mapReduce(this.mapper, this.reducer, options);
assertAlways.commandWorked(res);
};
$config.setup = function setup(db, collName, cluster) {
$super.setup.apply(this, arguments);
var outDB = db.getSiblingDB(db.getName() + uniqueDBName);
assertAlways.commandWorked(outDB.createCollection(collName));
};
return $config;
});
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