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test: adjust number of iterations of flakey test
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test/integration/server-selection/server_selection.prose.operation_count.test.ts

Lines changed: 10 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,7 @@ const failPoint = {
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const POOL_SIZE = 100;
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async function runTaskGroup(collection: Collection, count: 10 | 100) {
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async function runTaskGroup(collection: Collection, count: 10 | 100 | 500) {
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for (let i = 0; i < count; ++i) {
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await collection.findOne({});
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}
@@ -147,13 +147,19 @@ describe('operationCount-based Selection Within Latency Window - Prose Test', fu
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it('equally distributes operations with both hosts are fine', TEST_METADATA, async function () {
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const collection = client.db('test-db').collection('collection0');
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const numberTaskGroups = 10;
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const numberOfTasks = 500;
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const totalNumberOfTasks = numberTaskGroups * numberOfTasks;
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// Step 8: Start 10 concurrent threads / tasks that each run 100 findOne operations with empty filters using that client.
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await Promise.all(Array.from({ length: 10 }, () => runTaskGroup(collection, 100)));
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await Promise.all(
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Array.from({ length: numberTaskGroups }, () => runTaskGroup(collection, numberOfTasks))
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);
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// Step 9: Using command monitoring events, assert that each mongos was selected roughly 50% of the time (within +/- 10%).
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const [host1, host2] = seeds.map(seed => seed.split(':')[1]);
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const percentageToHost1 = (counts[host1] / 1000) * 100;
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const percentageToHost2 = (counts[host2] / 1000) * 100;
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const percentageToHost1 = (counts[host1] / totalNumberOfTasks) * 100;
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const percentageToHost2 = (counts[host2] / totalNumberOfTasks) * 100;
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expect(percentageToHost1).to.be.greaterThan(40).and.lessThan(60);
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expect(percentageToHost2).to.be.greaterThan(40).and.lessThan(60);
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});

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