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'use strict';
/**
* map_reduce_replace_nonexistent.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 a new collection.
*
* Uses the "replace" action to write the results to a nonexistent
* output collection.
*/
load('jstests/concurrency/fsm_libs/extend_workload.js'); // for extendWorkload
load('jstests/concurrency/fsm_workloads/map_reduce_inline.js'); // for $config
load('jstests/concurrency/fsm_workload_helpers/drop_utils.js'); // for dropCollections
var $config = extendWorkload(
$config,
function($config, $super) {
// Use the workload name as a prefix for the collection name,
// since the workload name is assumed to be unique.
var prefix = 'map_reduce_replace_nonexistent';
function uniqueCollectionName(prefix, tid) {
return prefix + tid;
}
$config.states.mapReduce = function mapReduce(db, collName) {
var outCollName = uniqueCollectionName(prefix, this.tid);
var fullName = db[outCollName].getFullName();
assertAlways.isnull(db[outCollName].exists(),
"output collection '" + fullName + "' should not exist");
var options = {
finalize: this.finalizer,
out: {replace: outCollName},
query: {key: {$exists: true}, value: {$exists: true}}
};
var res = db[collName].mapReduce(this.mapper, this.reducer, options);
assertAlways.commandWorked(res);
assertAlways(db[outCollName].drop());
};
$config.teardown = function teardown(db, collName, cluster) {
var pattern = new RegExp('^' + prefix + '\\d+$');
dropCollections(db, pattern);
};
return $config;
});
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