05-scan-test.py - Amazon DynamoDB
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05-scan-test.py

05-scan-test.py 程序在 Scan 上执行 TryDaxTable 操作。

import argparse import time import sys import amazondax import boto3 def scan_test(iterations, dyn_resource=None): """ Scans the table a specified number of times. The time before the first iteration and the time after the last iteration are both captured and reported. :param iterations: The number of iterations to run. :param dyn_resource: Either a Boto3 or DAX resource. :return: The start and end times of the test. """ if dyn_resource is None: dyn_resource = boto3.resource('dynamodb') table = dyn_resource.Table('TryDaxTable') start = time.perf_counter() for _ in range(iterations): table.scan() print('.', end='') sys.stdout.flush() print() end = time.perf_counter() return start, end if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument( 'endpoint_url', nargs='?', help="When specified, the DAX cluster endpoint. Otherwise, DAX is not used.") args = parser.parse_args() test_iterations = 100 if args.endpoint_url: print(f"Scanning the table {test_iterations} times, using the DAX client.") # Use a with statement so the DAX client closes the cluster after completion. with amazondax.AmazonDaxClient.resource(endpoint_url=args.endpoint_url) as dax: test_start, test_end = scan_test(test_iterations, dyn_resource=dax) else: print(f"Scanning the table {test_iterations} times, using the Boto3 client.") test_start, test_end = scan_test(test_iterations) print(f"Total time: {test_end - test_start:.4f} sec. Average time: " f"{(test_end - test_start)/test_iterations}.")