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/**
* Tests that running collStats against a time-series collection includes statistics specific to
* time-series collections.
*
* @tags: [
* does_not_support_stepdowns,
* requires_fcv_49,
* requires_getmore,
* ]
*/
(function() {
"use strict";
load("jstests/core/timeseries/libs/timeseries.js");
const conn = MongoRunner.runMongod();
if (!TimeseriesTest.timeseriesCollectionsEnabled(conn)) {
jsTestLog("Skipping test because the time-series collection feature flag is disabled");
MongoRunner.stopMongod(conn);
return;
}
const dbName = jsTestName();
const testDB = conn.getDB(dbName);
assert.commandWorked(testDB.dropDatabase());
const coll = testDB.getCollection('t');
const bucketsColl = testDB.getCollection('system.buckets.' + coll.getName());
const timeFieldName = 'time';
const metaFieldName = 'meta';
const expectedStats = {
bucketsNs: bucketsColl.getFullName()
};
const clearCollection = function() {
coll.drop();
assert.commandWorked(testDB.createCollection(
coll.getName(), {timeseries: {timeField: timeFieldName, metaField: metaFieldName}}));
assert.contains(bucketsColl.getName(), testDB.getCollectionNames());
expectedStats.bucketCount = 0;
expectedStats.numBucketInserts = 0;
expectedStats.numBucketUpdates = 0;
expectedStats.numBucketsOpenedDueToMetadata = 0;
expectedStats.numBucketsClosedDueToCount = 0;
expectedStats.numBucketsClosedDueToSize = 0;
expectedStats.numBucketsClosedDueToTimeForward = 0;
expectedStats.numBucketsClosedDueToTimeBackward = 0;
expectedStats.numBucketsClosedDueToMemoryThreshold = 0;
expectedStats.numCommits = 0;
expectedStats.numWaits = 0;
expectedStats.numMeasurementsCommitted = 0;
};
clearCollection();
const checkCollStats = function(empty = false) {
const stats = assert.commandWorked(coll.stats());
assert.eq(coll.getFullName(), stats.ns);
for (let [stat, value] of Object.entries(expectedStats)) {
assert.eq(stats.timeseries[stat],
value,
"Invalid 'timeseries." + stat + "' value in collStats: " + tojson(stats));
}
if (empty) {
assert(!stats.timeseries.hasOwnProperty('avgBucketSize'));
assert(!stats.timeseries.hasOwnProperty('avgNumMeasurementsPerCommit'));
} else {
assert.gt(stats.timeseries.avgBucketSize, 0);
}
assert(!stats.timeseries.hasOwnProperty('count'));
assert(!stats.timeseries.hasOwnProperty('avgObjSize'));
};
checkCollStats(true);
let docs = Array(2).fill({[timeFieldName]: ISODate(), [metaFieldName]: {a: 1}});
assert.commandWorked(coll.insert(docs, {ordered: false}));
expectedStats.bucketCount++;
expectedStats.numBucketInserts++;
expectedStats.numBucketsOpenedDueToMetadata++;
expectedStats.numCommits++;
expectedStats.numMeasurementsCommitted += 2;
expectedStats.avgNumMeasurementsPerCommit = 2;
checkCollStats();
assert.commandWorked(
coll.insert({[timeFieldName]: ISODate(), [metaFieldName]: {a: 2}}, {ordered: false}));
expectedStats.bucketCount++;
expectedStats.numBucketInserts++;
expectedStats.numBucketsOpenedDueToMetadata++;
expectedStats.numCommits++;
expectedStats.numMeasurementsCommitted++;
expectedStats.avgNumMeasurementsPerCommit = 1;
checkCollStats();
assert.commandWorked(
coll.insert({[timeFieldName]: ISODate(), [metaFieldName]: {a: 2}}, {ordered: false}));
expectedStats.numBucketUpdates++;
expectedStats.numCommits++;
expectedStats.numMeasurementsCommitted++;
checkCollStats();
docs = Array(5).fill({[timeFieldName]: ISODate(), [metaFieldName]: {a: 2}});
assert.commandWorked(coll.insert(docs, {ordered: false}));
expectedStats.numBucketUpdates++;
expectedStats.numCommits++;
expectedStats.numMeasurementsCommitted += 5;
expectedStats.avgNumMeasurementsPerCommit = 2;
checkCollStats();
assert.commandWorked(coll.insert(
{[timeFieldName]: ISODate("2021-01-01T01:00:00Z"), [metaFieldName]: {a: 1}}, {ordered: false}));
expectedStats.bucketCount++;
expectedStats.numBucketInserts++;
expectedStats.numCommits++;
expectedStats.numBucketsClosedDueToTimeBackward++;
expectedStats.numMeasurementsCommitted++;
checkCollStats();
// Assumes each bucket has a limit of 1000 measurements.
const bucketMaxCount = 1000;
let numDocs = bucketMaxCount + 100;
docs = Array(numDocs).fill({[timeFieldName]: ISODate(), [metaFieldName]: {a: 'limit_count'}});
assert.commandWorked(coll.insert(docs, {ordered: false}));
expectedStats.bucketCount += 2;
expectedStats.numBucketInserts += 2;
expectedStats.numBucketsOpenedDueToMetadata++;
expectedStats.numBucketsClosedDueToCount++;
expectedStats.numCommits += 2;
expectedStats.numMeasurementsCommitted += numDocs;
expectedStats.avgNumMeasurementsPerCommit =
Math.floor(expectedStats.numMeasurementsCommitted / expectedStats.numCommits);
checkCollStats();
// Assumes each bucket has a limit of 125kB on the measurements stored in the 'data' field.
const bucketMaxSizeKB = 125;
numDocs = 2;
// The measurement data should not take up all of the 'bucketMaxSizeKB' limit because we need
// to leave a little room for the _id and the time fields.
let largeValue = 'x'.repeat((bucketMaxSizeKB - 1) * 1024);
docs = Array(numDocs).fill(
{[timeFieldName]: ISODate(), x: largeValue, [metaFieldName]: {a: 'limit_size'}});
assert.commandWorked(coll.insert(docs, {ordered: false}));
expectedStats.bucketCount += numDocs;
expectedStats.numBucketInserts += numDocs;
expectedStats.numBucketsOpenedDueToMetadata++;
expectedStats.numBucketsClosedDueToSize++;
expectedStats.numCommits += numDocs;
expectedStats.numMeasurementsCommitted += numDocs;
expectedStats.avgNumMeasurementsPerCommit =
Math.floor(expectedStats.numMeasurementsCommitted / expectedStats.numCommits);
checkCollStats();
// Assumes the measurements in each bucket span at most one hour (based on the time field).
const docTimes = [ISODate("2020-11-13T01:00:00Z"), ISODate("2020-11-13T03:00:00Z")];
numDocs = 2;
docs = [];
for (let i = 0; i < numDocs; i++) {
docs.push({[timeFieldName]: docTimes[i], [metaFieldName]: {a: 'limit_time_range'}});
}
assert.commandWorked(coll.insert(docs, {ordered: false}));
expectedStats.bucketCount += numDocs;
expectedStats.numBucketInserts += numDocs;
expectedStats.numBucketsOpenedDueToMetadata++;
expectedStats.numBucketsClosedDueToTimeForward++;
expectedStats.numCommits += numDocs;
expectedStats.numMeasurementsCommitted += numDocs;
expectedStats.avgNumMeasurementsPerCommit =
Math.floor(expectedStats.numMeasurementsCommitted / expectedStats.numCommits);
checkCollStats();
const kIdleBucketExpiryMemoryUsageThreshold = 1024 * 1024 * 100;
numDocs = 70;
largeValue = 'a'.repeat(1024 * 1024);
const testIdleBucketExpiry = function(docFn) {
clearCollection();
let shouldExpire = false;
for (let i = 0; i < numDocs; i++) {
assert.commandWorked(coll.insert(docFn(i), {ordered: false}));
const memoryUsage = assert.commandWorked(testDB.serverStatus()).bucketCatalog.memoryUsage;
expectedStats.bucketCount++;
expectedStats.numBucketInserts++;
expectedStats.numBucketsOpenedDueToMetadata++;
if (shouldExpire) {
expectedStats.numBucketsClosedDueToMemoryThreshold++;
}
expectedStats.numCommits++;
expectedStats.numMeasurementsCommitted++;
expectedStats.avgNumMeasurementsPerCommit =
Math.floor(expectedStats.numMeasurementsCommitted / expectedStats.numCommits);
checkCollStats();
shouldExpire = memoryUsage > kIdleBucketExpiryMemoryUsageThreshold;
}
assert(shouldExpire, 'Memory usage did not reach idle bucket expiry threshold');
};
testIdleBucketExpiry(i => {
return {[timeFieldName]: ISODate(), [metaFieldName]: {[i.toString()]: largeValue}};
});
testIdleBucketExpiry(i => {
return {[timeFieldName]: ISODate(), [metaFieldName]: i, a: largeValue};
});
MongoRunner.stopMongod(conn);
})();
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