def usage():
"""
Retrieve usage information about a running container.
"""
usage = recv_proto(Usage)
logger.info("Retrieving usage for container %s", usage.container_id.value)
# Find the lxc container ID
info = inspect_container(usage.container_id.value)
lxc_container_id = info.get("ID", info.get("Id"))
if lxc_container_id is None:
raise Exception("Failed to get full container ID")
logger.info("Using LXC container ID %s", lxc_container_id)
stats = ResourceStatistics()
stats.timestamp = int(time.time())
# Get the number of CPU ticks
ticks = os.sysconf("SC_CLK_TCK")
if not ticks > 0:
logger.error("Unable to retrieve number of CPU clock ticks")
exit(1)
collect_container_stats(lxc_container_id, stats, ticks)
logger.debug("Container usage: %s", stats)
# Send the stats back to mesos
send_proto(stats)
def usage():
"""
Retrieve usage information about a running container.
"""
usage = recv_proto(Usage)
logger.info("Retrieving usage for container %s", usage.container_id.value)
# Find the lxc container ID
info = inspect_container(usage.container_id.value)
lxc_container_id = info.get("ID", info.get("Id"))
if lxc_container_id is None:
raise Exception("Failed to get full container ID")
logger.info("Using LXC container ID %s", lxc_container_id)
stats = ResourceStatistics()
stats.timestamp = int(time.time())
# Get the number of CPU ticks
ticks = os.sysconf("SC_CLK_TCK")
if not ticks > 0:
logger.error("Unable to retrieve number of CPU clock ticks")
exit(1)
# Retrieve the CPU stats
try:
stats.cpus_limit = float(read_metric(lxc_container_id, "cpu.shares")) / 256
cpu_stats = dict(read_metrics(lxc_container_id, "cpuacct.stat"))
if "user" in cpu_stats and "system" in cpu_stats:
stats.cpus_user_time_secs = float(cpu_stats["user"]) / ticks
stats.cpus_system_time_secs = float(cpu_stats["system"]) / ticks
except:
logger.error("Failed to get CPU usage")
try:
cpu_stats = dict(read_metrics(lxc_container_id, "cpu.stat"))
if "nr_periods" in cpu_stats:
stats.cpus_nr_periods = int(cpu_stats["nr_periods"])
if "nr_throttled" in cpu_stats:
stats.cpus_nr_throttled = int(cpu_stats["nr_throttled"])
if "throttled_time" in cpu_stats:
throttled_time_nano = int(cpu_stats["throttled_time"])
throttled_time_secs = throttled_time_nano / 1000000000
stats.cpus_throttled_time_secs = throttled_time_secs
except:
logger.error("Failed to get detailed CPU usage")
# Retrieve the mem stats
try:
stats.mem_limit_bytes = int(read_metric(lxc_container_id, "memory.limit_in_bytes"))
stats.mem_rss_bytes = int(read_metric(lxc_container_id, "memory.usage_in_bytes"))
except:
logger.error("Failed to get memory usage")
try:
mem_stats = dict(read_metrics(lxc_container_id, "memory.stat"))
if "total_cache" in mem_stats:
stats.mem_file_bytes = int(mem_stats["total_cache"])
if "total_rss" in mem_stats:
stats.mem_anon_bytes = int(mem_stats["total_rss"])
if "total_mapped_file" in mem_stats:
stats.mem_mapped_file_bytes = int(mem_stats["total_mapped_file"])
except:
logger.error("Failed to get detailed memory usage")
logger.debug("Container usage: %s", stats)
# Send the stats back to mesos
send_proto(stats)
def usage():
"""
Retrieve usage information about a running container.
"""
usage = recv_proto(Usage)
logger.info("Retrieving usage for container %s", usage.container_id.value)
# Find the lxc container ID
info = inspect_container(usage.container_id.value)
lxc_container_id = info["ID"]
logger.info("Using LXC container ID %s", lxc_container_id)
stats = ResourceStatistics()
stats.timestamp = int(time.time())
# Get the number of CPU ticks
ticks = os.sysconf("SC_CLK_TCK")
if not ticks > 0:
logger.error("Unable to retrieve number of CPU clock ticks")
exit(1)
# Retrieve the CPU stats
try:
stats.cpus_limit = float(read_metric(lxc_container_id,
"cpu.shares")) / 256
cpu_stats = dict(read_metrics(lxc_container_id, "cpuacct.stat"))
if "user" in cpu_stats and "system" in cpu_stats:
stats.cpus_user_time_secs = float(cpu_stats["user"]) / ticks
stats.cpus_system_time_secs = float(cpu_stats["system"]) / ticks
except:
logger.error("Failed to get CPU usage")
try:
cpu_stats = dict(read_metrics(lxc_container_id, "cpu.stat"))
if "nr_periods" in cpu_stats:
stats.cpus_nr_periods = int(cpu_stats["nr_periods"])
if "nr_throttled" in cpu_stats:
stats.cpus_nr_throttled = int(cpu_stats["nr_throttled"])
if "throttled_time" in cpu_stats:
throttled_time_nano = int(cpu_stats["throttled_time"])
throttled_time_secs = throttled_time_nano / 1000000000
stats.cpus_throttled_time_secs = throttled_time_secs
except:
logger.error("Failed to get detailed CPU usage")
# Retrieve the mem stats
try:
stats.mem_limit_bytes = int(
read_metric(lxc_container_id, "memory.limit_in_bytes"))
stats.mem_rss_bytes = int(
read_metric(lxc_container_id, "memory.usage_in_bytes"))
except:
logger.error("Failed to get memory usage")
try:
mem_stats = dict(read_metrics(lxc_container_id, "memory.stat"))
if "total_cache" in mem_stats:
stats.mem_file_bytes = int(mem_stats["total_cache"])
if "total_rss" in mem_stats:
stats.mem_anon_bytes = int(mem_stats["total_rss"])
if "total_mapped_file" in mem_stats:
stats.mem_mapped_file_bytes = int(mem_stats["total_mapped_file"])
except:
logger.error("Failed to get detailed memory usage")
logger.debug("Container usage: %s", stats)
# Send the stats back to mesos
send_proto(stats)