def run_and_pause(params):
url = params["url"]
user = params["user"]
password = params["password"]
source_bucket = params["source_bucket"]
target_bucket = params["target_bucket"]
target_cluster = params["target_cluster"]
link_id = xdcrclient.link_id(url, user, password, source_bucket,target_bucket,target_cluster)
complete = xdcrclient.ret_stat(url, user, password, source_bucket, link_id, "percent_completeness")
print(complete)
print("Starting replication ...")
xdcrclient.pause(url,user,password,link_id,True)
#TODO find out why the stat value stays sometimes at 100% even if data was added, maybe just an issue with the stat approx.
# changes_left might be helpful, increased also if XDCR is paused
while complete < 100.0:
complete = xdcrclient.ret_stat(url, user, password, source_bucket, link_id, "percent_completeness")
print("Comlete: " + str(complete))
time.sleep(10)
xdcrclient.pause(url, user, password, link_id)
print("Replication finished.")
def run_and_pause(params):
url = params["url"]
user = params["user"]
password = params["password"]
source_bucket = params["source_bucket"]
target_bucket = params["target_bucket"]
target_cluster = params["target_cluster"]
link_id = xdcrclient.link_id(url, user, password, source_bucket,
target_bucket, target_cluster)
complete = xdcrclient.ret_stat(url, user, password, source_bucket, link_id,
"percent_completeness")
print(complete)
print("Starting replication ...")
xdcrclient.pause(url, user, password, link_id, True)
#TODO find out why the stat value stays sometimes at 100% even if data was added, maybe just an issue with the stat approx.
# changes_left might be helpful, increased also if XDCR is paused
while complete < 100.0:
complete = xdcrclient.ret_stat(url, user, password, source_bucket,
link_id, "percent_completeness")
print("Comlete: " + str(complete))
time.sleep(10)
xdcrclient.pause(url, user, password, link_id)
print("Replication finished.")
def test_ret_stat():
print("Testing to retrieve statistics ...")
link_id = xdcrclient.link_id(BASE_URL, ADMIN_USER, ADMIN_PWD,"social","test_xdcr","local")
print(link_id)
result = xdcrclient.ret_stat(BASE_URL, ADMIN_USER, ADMIN_PWD, "social", link_id, "percent_completeness")
print result
assert result == 0.0
def test_ret_stat():
print("Testing to retrieve statistics ...")
link_id = xdcrclient.link_id(BASE_URL, ADMIN_USER, ADMIN_PWD, "social",
"test_xdcr", "local")
print(link_id)
result = xdcrclient.ret_stat(BASE_URL, ADMIN_USER, ADMIN_PWD, "social",
link_id, "percent_completeness")
print result
assert result == 0.0
def test_pause():
print("Testing to pause the replication ...")
link_id = xdcrclient.link_id(BASE_URL, ADMIN_USER, ADMIN_PWD,"social","test_xdcr","local")
print(link_id)
result = xdcrclient.pause(BASE_URL,ADMIN_USER,ADMIN_PWD,link_id)
print result
assert "'pauseRequested': True" in str(result)
result = result = xdcrclient.pause(BASE_URL,ADMIN_USER,ADMIN_PWD,link_id,True)
print result
assert "'pauseRequested': False" in str(result)
def test_pause():
print("Testing to pause the replication ...")
link_id = xdcrclient.link_id(BASE_URL, ADMIN_USER, ADMIN_PWD, "social",
"test_xdcr", "local")
print(link_id)
result = xdcrclient.pause(BASE_URL, ADMIN_USER, ADMIN_PWD, link_id)
print result
assert "'pauseRequested': True" in str(result)
result = result = xdcrclient.pause(BASE_URL, ADMIN_USER, ADMIN_PWD,
link_id, True)
print result
assert "'pauseRequested': False" in str(result)
def main(args=sys.argv):
if len(args) == 9:
print("Starting the daemon ...")
#Run as daemon
#daemon.daemonize("cb-scheduled-xdcr.pid")
url = args[1]
user = args[2]
password = args[3]
source_bucket = args[4]
target_bucket = args[5]
target_cluster = args[6]
start_time = args[7]
interval = float(args[8])
#Parse the date
start_time_arr = parse_data_arg(start_time)
#Make sure that XDCR is paused
link_id = xdcrclient.link_id(url, user, password, source_bucket,
target_bucket, target_cluster)
xdcrclient.pause(url, user, password, link_id)
#Prepare the job parameters and schedule the job
params = {
"url": url,
"user": user,
"password": password,
"source_bucket": source_bucket,
"target_bucket": target_bucket,
"target_cluster": target_cluster,
"start_time_arr": start_time_arr,
"interval": interval
}
print("Scheduling the job ...")
print("params = " + str(params))
jobscheduler.run(start_time_arr[0], start_time_arr[1],
start_time_arr[2], start_time_arr[3],
start_time_arr[4], interval, run_and_pause, params)
else:
usage()
def main(args = sys.argv):
if len(args) == 9:
print("Starting the daemon ...")
#Run as daemon
#daemon.daemonize("cb-scheduled-xdcr.pid")
url = args[1]
user = args[2]
password = args[3]
source_bucket = args[4]
target_bucket = args[5]
target_cluster = args[6]
start_time = args[7]
interval = float(args[8])
#Parse the date
start_time_arr = parse_data_arg(start_time)
#Make sure that XDCR is paused
link_id = xdcrclient.link_id(url, user, password, source_bucket,target_bucket,target_cluster)
xdcrclient.pause(url,user,password,link_id)
#Prepare the job parameters and schedule the job
params = { "url" : url, "user" : user, "password" : password, "source_bucket" : source_bucket,
"target_bucket" : target_bucket, "target_cluster" : target_cluster,
"start_time_arr" : start_time_arr, "interval" : interval }
print("Scheduling the job ...")
print("params = " + str(params))
jobscheduler.run(start_time_arr[0],start_time_arr[1],start_time_arr[2],start_time_arr[3],start_time_arr[4],interval,run_and_pause,params)
else:
usage()