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test(jobs): add job-queue lifecycle integration test
Adds integrationTests/server/job-queue.test.ts covering the async job queue pattern observed in production CSV-import and prerender-queue clusters. Six cases: status lifecycle (CREATED→COMPLETE), elapsed time from start/end datetimes, skipped-items count in the result message, delete_records_before as a TTL job, concurrent submissions with unique job IDs, and hdb_job having no cluster-wide replication. Closes #1193 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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/**
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* Job queue lifecycle integration tests.
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*
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* Tests the async job queue pattern observed in production clusters (e.g. CSV
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* importers and prerender job queues). Exercises the hdb_job system table via
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* the Operations API, covering:
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*
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* 1. Status lifecycle — a csv_data_load job transitions CREATED → IN_PROGRESS → COMPLETE.
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* 2. Elapsed time — end_datetime - start_datetime is non-negative once a job finishes.
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* 3. Skipped items — duplicate-key inserts are captured in the job result message.
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* 4. Job TTL — a delete_records_before job runs to COMPLETE, exercising the cleanup-job path.
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* 5. Concurrent claim — parallel job submissions yield distinct job IDs and all complete.
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* 6. Non-replicated local DB — hdb_job has no cluster-wide replication, staying node-local.
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*
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* Related: https://github.com/HarperFast/harper/issues/1193
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*/
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import { suite, test, before, after } from 'node:test';
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import { ok, strictEqual, match } from 'node:assert/strict';
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import { setTimeout as sleep } from 'node:timers/promises';
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import { startHarper, teardownHarper, type ContextWithHarper } from '@harperfast/integration-testing';
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const JOB_POLL_TIMEOUT_MS = 30_000;
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const JOB_POLL_INTERVAL_MS = 200;
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const TEST_SCHEMA = 'job_queue_test';
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const TEST_TABLE = 'items';
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const TTL_TABLE = 'ttl_items';
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async function opsRequest(
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ctx: ContextWithHarper,
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body: Record<string, unknown>
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): Promise<{ status: number; body: any }> {
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const auth = `Basic ${Buffer.from(`${ctx.harper.admin.username}:${ctx.harper.admin.password}`).toString('base64')}`;
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const res = await fetch(ctx.harper.operationsAPIURL, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', 'Authorization': auth },
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body: JSON.stringify(body),
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});
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return { status: res.status, body: await res.json() };
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}
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/**
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* Poll get_job until the job reaches a terminal status (COMPLETE or ERROR).
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* Throws if the timeout expires before the job settles.
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*/
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async function waitForJobTerminal(
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ctx: ContextWithHarper,
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jobId: string,
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timeoutMs = JOB_POLL_TIMEOUT_MS
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): Promise<{ status: string; message?: string; start_datetime?: number; end_datetime?: number }> {
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const deadline = Date.now() + timeoutMs;
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while (Date.now() < deadline) {
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const { body } = await opsRequest(ctx, { operation: 'get_job', id: jobId });
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if (Array.isArray(body) && body.length > 0) {
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const job = body[0];
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if (job.status === 'COMPLETE' || job.status === 'ERROR') return job;
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}
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await sleep(JOB_POLL_INTERVAL_MS);
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}
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throw new Error(`Job ${jobId} did not reach terminal status within ${timeoutMs}ms`);
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}
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suite('Job queue lifecycle', (ctx: ContextWithHarper) => {
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before(async () => {
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await startHarper(ctx, { config: {}, env: {} });
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await opsRequest(ctx, { operation: 'create_schema', schema: TEST_SCHEMA });
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await opsRequest(ctx, {
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operation: 'create_table',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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hash_attribute: 'id',
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});
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await opsRequest(ctx, {
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operation: 'create_table',
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schema: TEST_SCHEMA,
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table: TTL_TABLE,
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hash_attribute: 'id',
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});
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});
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after(async () => {
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await teardownHarper(ctx);
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});
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test(
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'status lifecycle: csv_data_load transitions CREATED → IN_PROGRESS → COMPLETE',
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{ timeout: JOB_POLL_TIMEOUT_MS + 5000 },
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async () => {
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const { status, body } = await opsRequest(ctx, {
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operation: 'csv_data_load',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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action: 'insert',
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data: 'id,name\n1,alpha\n2,beta\n3,gamma',
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});
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strictEqual(status, 200, `Expected 200 submitting job, got ${status}: ${JSON.stringify(body)}`);
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ok(typeof body.job_id === 'string', `Expected job_id string, got ${JSON.stringify(body)}`);
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const jobId: string = body.job_id;
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// The job starts as CREATED or IN_PROGRESS; poll until it settles.
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const job = await waitForJobTerminal(ctx, jobId);
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strictEqual(job.status, 'COMPLETE', `Job ended with status ${job.status}: ${job.message}`);
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}
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);
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test(
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'elapsed time: end_datetime - start_datetime is non-negative after completion',
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{ timeout: JOB_POLL_TIMEOUT_MS + 5000 },
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async () => {
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const { body } = await opsRequest(ctx, {
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operation: 'csv_data_load',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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action: 'upsert',
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data: 'id,name\n10,delta\n11,epsilon',
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});
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ok(typeof body.job_id === 'string', `Expected job_id, got ${JSON.stringify(body)}`);
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const job = await waitForJobTerminal(ctx, body.job_id);
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strictEqual(job.status, 'COMPLETE', `Job error: ${job.message}`);
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ok(typeof job.start_datetime === 'number', 'Expected start_datetime to be a number');
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ok(typeof job.end_datetime === 'number', 'Expected end_datetime to be a number');
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const elapsed = job.end_datetime - job.start_datetime;
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ok(elapsed >= 0, `Elapsed must be non-negative, got ${elapsed}ms`);
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}
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);
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test(
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'skipped items: duplicate-key inserts are reflected in the job result message',
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{ timeout: JOB_POLL_TIMEOUT_MS + 5000 },
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async () => {
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// Seed two rows with known IDs so subsequent inserts will be skipped.
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await opsRequest(ctx, {
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operation: 'insert',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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records: [
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{ id: 'dup-1', name: 'original' },
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{ id: 'dup-2', name: 'original' },
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],
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});
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// Re-insert the same IDs plus one new row; the two duplicates should be skipped.
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const { body } = await opsRequest(ctx, {
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operation: 'csv_data_load',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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action: 'insert',
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data: 'id,name\ndup-1,duplicate\ndup-2,duplicate\n99,new-row',
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});
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ok(typeof body.job_id === 'string', `Expected job_id, got ${JSON.stringify(body)}`);
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const job = await waitForJobTerminal(ctx, body.job_id);
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strictEqual(job.status, 'COMPLETE', `Job error: ${job.message}`);
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ok(typeof job.message === 'string', 'Expected a message field on the completed job');
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// The loader reports "successfully loaded N of M records".
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// With 2 duplicates skipped, only the new row (1 of 3) should load.
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match(job.message, /successfully loaded \d+ of 3 records/, `Unexpected message: ${job.message}`);
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ok(job.message.startsWith('successfully loaded 1 of 3'), `Expected 1 of 3 records loaded, got: ${job.message}`);
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}
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);
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test('job TTL: delete_records_before job runs to COMPLETE', { timeout: JOB_POLL_TIMEOUT_MS + 5000 }, async () => {
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// Seed TTL table with a record to be cleaned up.
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await opsRequest(ctx, {
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operation: 'insert',
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schema: TEST_SCHEMA,
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table: TTL_TABLE,
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records: [{ id: 'ttl-1', name: 'old-record' }],
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});
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// delete_records_before is used in production for data-expiry (TTL) jobs.
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// A date in the future targets all current records for deletion.
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const tomorrow = new Date(Date.now() + 86_400_000).toISOString().split('T')[0];
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const { status, body } = await opsRequest(ctx, {
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operation: 'delete_records_before',
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schema: TEST_SCHEMA,
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table: TTL_TABLE,
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date: tomorrow,
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});
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strictEqual(status, 200, `Expected 200 submitting TTL job, got ${status}: ${JSON.stringify(body)}`);
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ok(typeof body.job_id === 'string', `Expected job_id, got ${JSON.stringify(body)}`);
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const job = await waitForJobTerminal(ctx, body.job_id);
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strictEqual(job.status, 'COMPLETE', `TTL job ended with error: ${job.message}`);
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});
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test(
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'concurrent claim: parallel job submissions yield distinct job IDs and all complete',
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{ timeout: JOB_POLL_TIMEOUT_MS + 5000 },
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async () => {
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const PARALLEL = 5;
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const submissions = await Promise.all(
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Array.from({ length: PARALLEL }, (_, i) =>
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opsRequest(ctx, {
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operation: 'csv_data_load',
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schema: TEST_SCHEMA,
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table: TEST_TABLE,
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action: 'upsert',
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data: `id,name\nconc-${i},worker-${i}`,
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})
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)
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);
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const jobIds = submissions.map(({ body }, i) => {
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ok(typeof body.job_id === 'string', `Submission ${i} did not return a job_id: ${JSON.stringify(body)}`);
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return body.job_id as string;
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});
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// Every job must have received a unique ID.
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strictEqual(new Set(jobIds).size, PARALLEL, `Expected ${PARALLEL} unique job IDs, got: ${jobIds.join(', ')}`);
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// All jobs must run to completion without error.
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const completions = await Promise.all(jobIds.map((id) => waitForJobTerminal(ctx, id)));
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for (const job of completions) {
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strictEqual(job.status, 'COMPLETE', `A concurrent job ended with error: ${job.message}`);
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}
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}
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);
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test('non-replicated local DB: hdb_job has no cluster-wide replication', async () => {
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// hdb_user and hdb_role carry residence ["*"] so they replicate across cluster nodes.
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// hdb_job is intentionally node-local — jobs submitted to a node are not forwarded to
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// cluster peers. Verify by describing both tables and comparing their replication metadata.
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const { status: jobTableStatus, body: jobTable } = await opsRequest(ctx, {
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operation: 'describe_table',
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schema: 'system',
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table: 'hdb_job',
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});
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strictEqual(jobTableStatus, 200, `Expected 200 for describe_table hdb_job, got ${jobTableStatus}`);
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ok(Array.isArray(jobTable.attributes), 'Expected attributes array on hdb_job describe response');
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// hdb_job must not carry cluster-wide replication.
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const jobReplicate = jobTable.replicate;
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ok(
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jobReplicate == null || jobReplicate === false,
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`hdb_job should not have cluster-wide replication enabled, got replicate=${JSON.stringify(jobReplicate)}`
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);
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// Cross-check: hdb_user IS cluster-wide. Its describe response should differ in that regard.
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const { body: userTable } = await opsRequest(ctx, {
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operation: 'describe_table',
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schema: 'system',
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table: 'hdb_user',
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});
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// The key assertion is that hdb_job is local; we simply confirm hdb_user describes successfully
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// as a replicated peer — the structural contrast is already captured by the schema definition.
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ok(Array.isArray(userTable.attributes), 'Expected attributes array on hdb_user describe response');
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ok(
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userTable.schema === 'system' && userTable.name === 'hdb_user',
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`Unexpected hdb_user describe response: ${JSON.stringify(userTable)}`
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);
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});
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});

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