def yarn_start():
'''
Starts yarn services (nodemanager, resourcemanager)
:return: Returns success if yarn_start_cmd command executes successfully or error message is shown
'''
log.info("\nStarting Yarn\n")
header_key = request.headers.get('API-KEY')
api_status = check_apiKey(header_key)
if api_status == 'success':
result = run_services.run_bigdata_services(
yarn_start_cmd, 'Started Yarn Services',
'Error Starting Yarn Services')
update_rm_info()
return result
else:
return api_status
def nm_stop(cluster_id):
ip = get_system_ip()
sql = "select id, status, web_port, rpyc_port from yarn_yarn where ip='%s' and type=0 and cluster_id=%d" % (
ip, cluster_id)
rs = run_services.get_service_status(sql)
id = rs[0]
status = rs[1]
web_port = rs[2]
rpyc_port = rs[3]
if status == "RUNNING":
result = run_services.run_bigdata_services(
nm_stop_cmd, 'Node manager Stopped', 'Error Stopping Node manager')
update_rm_info()
return run_services.confirm_stop(result, "yarn_yarn", id, web_port,
rpyc_port)
else:
return '{"success": 1, "msg": ["Node Manager Already Stopped!!!"]}'
def rm_start(cluster_id):
ip = get_system_ip()
sql = "select id, status, web_port, rpyc_port from yarn_yarn where ip='%s' and type=1 and cluster_id=%d" % (
ip, cluster_id)
rs = run_services.get_service_status(sql)
id = rs[0]
status = rs[1]
web_port = rs[2]
rpyc_port = rs[3]
if status != "RUNNING":
result = run_services.run_bigdata_services(
rm_start_cmd, 'Resource manager Started',
'Error Starting Resource manager')
update_rm_info()
return run_services.confirm_start(result, "yarn_yarn", id, web_port,
rpyc_port)
else:
return '{"success": 1, "msg": ["Resource Manager Already Running!!!"]}'
def yarn_stop():
log.info("\nStopping Yarn\n")
header_key = request.headers.get('API-KEY')
api_status = check_apiKey(header_key)
if api_status == 'success':
conn = get_postgres_connection()
cur = conn.cursor()
sql = "select status from yarn_yarn where type=1"
cur.execute(sql)
rows = cur.fetchall()
cur.close()
conn.close()
status_list = [' '.join(item) for item in rows]
if "RUNNING" in status_list:
result = run_services.run_bigdata_services(
yarn_stop_cmd, 'Stopped Yarn Services',
'Error Stopping Yarn Services')
if json.loads(result)["success"]:
update_rm_info()
return result
else:
return '{"success": 1}'
else:
return api_status