""" Remotely run peering tests. """ import logging import time log = logging.getLogger(__name__) from args import argify POOLNAME = "POOLNAME" ARGS = [ ('num_pgs', 'number of pgs to create', 256, int), ('max_time', 'seconds to complete peering', 0, int), ('runs', 'trials to run', 10, int), ('num_objects', 'objects to create', 256 * 1024, int), ('object_size', 'size in bytes for objects', 64, int), ('creation_time_limit', 'time limit for pool population', 60*60, int), ('create_threads', 'concurrent writes for create', 256, int) ] def setup(ctx, config): """ Setup peering test on remotes. """ manager = ctx.managers['ceph'] manager.clear_pools() manager.create_pool(POOLNAME, config.num_pgs) log.info("populating pool") manager.rados_write_objects( POOLNAME, config.num_objects, config.object_size, config.creation_time_limit, config.create_threads) log.info("done populating pool") def do_run(ctx, config): """ Perform the test. """ start = time.time() # mark in osd manager = ctx.managers['ceph'] manager.mark_in_osd(0) log.info("writing out objects") manager.rados_write_objects( POOLNAME, config.num_pgs, # write 1 object per pg or so 1, config.creation_time_limit, config.num_pgs, # lots of concurrency cleanup = True) peering_end = time.time() log.info("peering done, waiting on recovery") manager.wait_for_clean() log.info("recovery done") recovery_end = time.time() if config.max_time: assert(peering_end - start < config.max_time) manager.mark_out_osd(0) manager.wait_for_clean() return { 'time_to_active': peering_end - start, 'time_to_clean': recovery_end - start } @argify("peering_speed_test", ARGS) def task(ctx, config): """ Peering speed test """ setup(ctx, config) manager = ctx.managers['ceph'] manager.mark_out_osd(0) manager.wait_for_clean() ret = [] for i in range(config.runs): log.info("Run {i}".format(i = i)) ret.append(do_run(ctx, config)) manager.mark_in_osd(0) ctx.summary['recovery_times'] = { 'runs': ret }