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/**
* Tests the insertions into sharded time-series collection during a chunk migration. To ensure the
* correctness, the test does the same inserts into an unsharded collection and verified that the
* number of documents remain the same at the end. This test also checks that indexes on the
* time-series buckets collection remain consistent after the test run.
* @tags: [
* requires_fcv_50,
* requires_sharding,
* assumes_balancer_off,
* requires_non_retryable_writes,
* does_not_support_transactions,
* ]
*/
'use strict';
load('jstests/concurrency/fsm_workload_helpers/chunks.js'); // for chunk helpers
load("jstests/core/timeseries/libs/timeseries.js"); // For 'TimeseriesTest' helpers.
load("jstests/libs/analyze_plan.js"); // for 'getPlanStages'
load('jstests/concurrency/fsm_workloads/sharded_moveChunk_partitioned.js');
var $config = extendWorkload($config, function($config, $super) {
$config.data.nonShardCollName = "unsharded";
// A random non-round start value was chosen so that we can verify the rounding behavior that
// occurs while routing on mongos.
$config.data.startTime = 1021;
// One minute.
$config.data.increment = 1000 * 60;
// This should generate documents for a span of one month.
$config.data.numInitialDocs = 60 * 24 * 30;
$config.data.numMetaCount = 30;
$config.data.featureFlagDisabled = true;
$config.data.bucketPrefix = "system.buckets.";
$config.data.timeField = 't';
$config.data.metaField = 'm';
$config.data.generateMetaFieldValueForInitialInserts = () => {
return Math.floor(Random.rand() * $config.data.numMetaCount);
};
$config.data.generateMetaFieldValueForInsertStage = (i) => {
return i % $config.data.numMetaCount;
};
$config.threadCount = 10;
$config.iterations = 40;
$config.startState = "init";
$config.states.insert = function insert(db, collName, connCache) {
if (this.featureFlagDisabled) {
return;
}
for (let i = 0; i < 10; i++) {
// Generate a random timestamp between 'startTime' and largest timestamp we inserted.
const timer =
this.startTime + Math.floor(Random.rand() * this.numInitialDocs * this.increment);
const doc = {
_id: new ObjectId(),
[this.timeField]: new Date(timer),
[this.metaField]: this.generateMetaFieldValueForInsertStage(this.tid),
};
assertAlways.commandWorked(db[collName].insert(doc));
assertAlways.commandWorked(db[this.nonShardCollName].insert(doc));
}
};
/**
* Moves a random chunk in the target collection.
*/
$config.states.moveChunk = function moveChunk(db, collName, connCache) {
if (this.featureFlagDisabled) {
return;
}
const configDB = db.getSiblingDB('config');
const ns = db[this.bucketPrefix + collName].getFullName();
const chunks = findChunksUtil.findChunksByNs(configDB, ns).toArray();
const chunkToMove = chunks[this.tid];
const fromShard = chunkToMove.shard;
// Choose a random shard to move the chunk to.
const shardNames = Object.keys(connCache.shards);
const destinationShards = shardNames.filter(function(shard) {
if (shard !== fromShard) {
return shard;
}
});
const toShard = destinationShards[Random.randInt(destinationShards.length)];
const waitForDelete = false;
ChunkHelper.moveChunk(db,
this.bucketPrefix + collName,
[chunkToMove.min, chunkToMove.max],
toShard,
waitForDelete);
};
$config.states.init = function init(db, collName, connCache) {
if (TimeseriesTest.timeseriesCollectionsEnabled(db.getMongo()) &&
TimeseriesTest.shardedtimeseriesCollectionsEnabled(db.getMongo())) {
this.featureFlagDisabled = false;
}
};
$config.transitions = {
init: {insert: 1},
insert: {insert: 7, moveChunk: 1},
moveChunk: {insert: 1, moveChunk: 0}
};
$config.teardown = function teardown(db, collName, cluster) {
if (this.featureFlagDisabled) {
return;
}
const numBuckets = db[this.bucketPrefix + collName].find({}).itcount();
const numInitialDocs = db[collName].find().itcount();
jsTestLog("NumBuckets " + numBuckets + ", numDocs on sharded cluster" +
db[collName].find().itcount() + "numDocs on unsharded collection " +
db[this.nonShardCollName].find({}).itcount());
const pipeline =
[{$project: {_id: "$_id", m: "$m", t: "$t"}}, {$sort: {m: 1, t: 1, _id: 1}}];
const diff = DataConsistencyChecker.getDiff(db[collName].aggregate(pipeline),
db[this.nonShardCollName].aggregate(pipeline));
assertAlways.eq(
diff, {docsWithDifferentContents: [], docsMissingOnFirst: [], docsMissingOnSecond: []});
// Make sure that queries using various indexes on time-series buckets collection return
// buckets with all documents.
const verifyBucketIndex = (bucketIndex) => {
const unpackStage = {
"$_internalUnpackBucket": {
"timeField": this.timeField,
"metaField": this.metaField,
"bucketMaxSpanSeconds": NumberInt(3600)
}
};
const bucketColl = db.getCollection(`system.buckets.${collName}`);
const numDocsInBuckets =
bucketColl.aggregate([{$sort: bucketIndex}, unpackStage]).itcount();
assert.eq(numInitialDocs, numDocsInBuckets);
const plan = bucketColl.explain().aggregate([{$sort: bucketIndex}]);
const stages = getPlanStages(plan, 'IXSCAN');
assert(stages.length > 0);
for (let ixScan of stages) {
assert.eq(bucketIndex, ixScan.keyPattern, ixScan);
}
};
verifyBucketIndex({"control.min.t": 1});
verifyBucketIndex({meta: 1});
verifyBucketIndex({meta: 1, "control.min.t": 1, "control.max.t": 1});
};
$config.setup = function setup(db, collName, cluster) {
if (TimeseriesTest.timeseriesCollectionsEnabled(db.getMongo()) &&
TimeseriesTest.shardedtimeseriesCollectionsEnabled(db.getMongo())) {
this.featureFlagDisabled = false;
} else {
return;
}
db[collName].drop();
db[this.nonShardCollName].drop();
assertAlways.commandWorked(db.createCollection(
collName, {timeseries: {timeField: this.timeField, metaField: this.metaField}}));
cluster.shardCollection(db[collName], {t: 1}, false);
// Create indexes to verify index integrity during the teardown state.
assert.commandWorked(db[this.nonShardCollName].createIndex({t: 1}));
assert.commandWorked(db[collName].createIndex({m: 1}));
assert.commandWorked(db[this.nonShardCollName].createIndex({m: 1}));
assert.commandWorked(db[collName].createIndex({m: 1, t: 1}));
assert.commandWorked(db[this.nonShardCollName].createIndex({m: 1, t: 1}));
assert.commandWorked(db[this.nonShardCollName].createIndex({m: 1, t: 1, _id: 1}));
const bulk = db[collName].initializeUnorderedBulkOp();
const bulkUnsharded = db[this.nonShardCollName].initializeUnorderedBulkOp();
let currentTimeStamp = this.startTime;
for (let i = 0; i < this.numInitialDocs; ++i) {
currentTimeStamp += this.increment;
const doc = {
_id: new ObjectId(),
[this.timeField]: new Date(currentTimeStamp),
[this.metaField]: this.generateMetaFieldValueForInitialInserts(i),
};
bulk.insert(doc);
bulkUnsharded.insert(doc);
}
let res = bulk.execute();
assertAlways.commandWorked(res);
assertAlways.eq(this.numInitialDocs, res.nInserted);
res = bulkUnsharded.execute();
assertAlways.commandWorked(res);
assertAlways.eq(this.numInitialDocs, res.nInserted);
// Verify that the number of docs are same.
assert.eq(db[collName].find().itcount(), db[this.nonShardCollName].find().itcount());
// Pick 'this.threadCount - 1' split points so that we have can create this.threadCount
// chunks.
const chunkRange = (currentTimeStamp - this.startTime) / this.threadCount;
currentTimeStamp = this.startTime;
for (let i = 0; i < (this.threadCount - 1); ++i) {
currentTimeStamp += chunkRange;
assertWhenOwnColl.commandWorked(ChunkHelper.splitChunkAt(
db, this.bucketPrefix + collName, {'control.min.t': new Date(currentTimeStamp)}));
}
// Verify that the number of docs remain the same.
assert.eq(db[collName].find().itcount(), db[this.nonShardCollName].find().itcount());
};
return $config;
});
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