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63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""
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Script to test concurrency (multithreading/multiprocess) issues with the workers. Use with caution.
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"""
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import json
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import atfork
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atfork.monkeypatch_os_fork_functions()
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import atfork.stdlib_fixer
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atfork.stdlib_fixer.fix_logging_module()
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import time
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from redash.data import worker
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from redash import models, data_manager, redis_connection
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if __name__ == '__main__':
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models.create_db(True, False)
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print "Creating data source..."
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data_source = models.DataSource.create(name="Concurrency", type="pg", options="dbname=postgres")
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print "Clear jobs/hashes:"
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redis_connection.delete("jobs")
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query_hashes = redis_connection.keys("query_hash_*")
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if query_hashes:
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redis_connection.delete(*query_hashes)
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starting_query_results_count = models.QueryResult.select().count()
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jobs_count = 5000
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workers_count = 10
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print "Creating jobs..."
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for i in xrange(jobs_count):
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query = "SELECT {}".format(i)
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print "Inserting: {}".format(query)
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data_manager.add_job(query=query, priority=worker.Job.LOW_PRIORITY,
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data_source=data_source)
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print "Starting workers..."
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workers = data_manager.start_workers(workers_count)
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print "Waiting for jobs to be done..."
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keep_waiting = True
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while keep_waiting:
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results_count = models.QueryResult.select().count() - starting_query_results_count
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print "QueryResults: {}".format(results_count)
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time.sleep(5)
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if results_count == jobs_count:
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print "Yay done..."
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keep_waiting = False
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data_manager.stop_workers()
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qr_count = 0
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for qr in models.QueryResult.select():
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number = int(qr.query.split()[1])
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data_number = json.loads(qr.data)['rows'][0].values()[0]
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if number != data_number:
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print "Oops? {} != {} ({})".format(number, data_number, qr.id)
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qr_count += 1
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print "Verified {} query results.".format(qr_count)
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print "Done." |