def collect(self):
# Request data from ambari Collect Host API
# Request exactly the System level information we need from node
# beans returns a type of 'List'
try:
count = 0
# In case no metrics we need in the jmx url, a time sleep and while-loop was set here to wait for the KEY metrics
while count < 5:
beans = utils.get_metrics(self._url)
if 'init_total_count_tables' not in beans:
count += 1
time.sleep(1)
continue
else:
break
except:
logger.info("Can't scrape metrics from url: {0}".format(self._url))
else:
pass
finally:
# set up all metrics with labels and descriptions.
self._setup_labels(beans)
# add metric value to every metric.
self._get_metrics(beans)
# update namenode metrics with common metrics
common_metrics = common_metrics_info(self._cluster, beans, "hive",
"hiveserver2")
self._hadoop_hiveserver2_metrics.update(common_metrics())
for i in range(len(self._merge_list)):
service = self._merge_list[i]
for metric in self._hadoop_hiveserver2_metrics[service]:
yield self._hadoop_hiveserver2_metrics[service][metric]
def collect(self):
# Request data from ambari Collect Host API
# Request exactly the System level information we need from node
# beans returns a type of 'List'
try:
beans = utils.get_metrics(self._url)
except:
logger.info("Can't scrape metrics from url: {0}".format(self._url))
pass
else:
# set up all metrics with labels and descriptions.
self._setup_labels(beans)
# add metric value to every metric.
self._get_metrics(beans)
# update namenode metrics with common metrics
common_metrics = common_metrics_info(self._cluster, beans, "hbase",
"regionserver")
self._hadoop_regionserver_metrics.update(common_metrics())
for i in range(len(self._merge_list)):
service = self._merge_list[i]
for metric in self._hadoop_regionserver_metrics[service]:
yield self._hadoop_regionserver_metrics[service][metric]
def collect(self):
self._clear_init()
# 发送HTTP请求从JMX URL中获取指标数据。
# 获取JMX中对应bean JSON数组。
try:
# 发起HTTP请求JMX JSON数据
beans = utils.get_metrics(self._url)
except:
logger.info("Can't scrape metrics from url: {0}".format(self._url))
pass
else:
# 设置监控需要关注的每个MBean，并设置好指标对应的标签以及描述
self._setup_metrics_labels(beans)
# 设置每个指标值
self._get_metrics(beans)
# 将通用的指标更新到NameNode对应的指标中
common_metrics = common_metrics_info(self._cluster, beans, "hdfs",
"namenode")
self._hadoop_namenode_metrics.update(common_metrics())
# 遍历每一个指标分类（包含NameNode以及Common的指标分类）
# 返回每一个指标和标签
for i in range(len(self._merge_list)):
service = self._merge_list[i]
for metric in self._hadoop_namenode_metrics[service]:
yield self._hadoop_namenode_metrics[service][metric]
