def process(self, result):
"""
Parses resulting data into datapoints.
"""
data = json.loads(result)
for node in version_diff(data["LiveNodes"]):
if self.component == prepId(node['name']):
res = {
'requests_per_second': (node['requests'], 'N'),
'used_heap_mb': (node['heapSizeMB'], 'N'),
'max_heap_mb': (node['maxHeapSizeMB'], 'N'),
'regions': (len(node['Region']), 'N'),
'read_requests': (0, 'N'),
'write_requests': (0, 'N'),
'number_of_stores': (0, 'N'),
'number_of_store_files': (0, 'N'),
'store_file_size_mb': (0, 'N'),
'store_file_index_size_mb': (0, 'N'),
'memstore_size_mb': (0, 'N'),
'current_compacted_kv': (0, 'N'),
'total_compacting_kv': (0, 'N'),
}
for region in node["Region"]:
res = sum_perf_metrics(res, region)
return res
return {}
def process(self, result):
"""
Parses resulting data into datapoints.
"""
data = json.loads(result)
node_id, region_id = self.component.split(NAME_SPLITTER)
res = {}
for node in version_diff(data["LiveNodes"]):
if node_id == prepId(node['name']):
for region in node["Region"]:
if region_id == prepId(region['name']):
res = {
'read_requests': (0, 'N'),
'write_requests': (0, 'N'),
'number_of_stores': (0, 'N'),
'number_of_store_files': (0, 'N'),
'store_file_size_mb': (0, 'N'),
'store_file_index_size_mb': (0, 'N'),
'memstore_size_mb': (0, 'N'),
'current_compacted_kv': (0, 'N'),
'total_compacting_kv': (0, 'N'),
}
return sum_perf_metrics(res, region)
return res
def process(self, result):
"""
Parses resulting data into datapoints.
"""
data = json.loads(result)
for node in version_diff(data["LiveNodes"]):
if self.component == prepId(node['name']):
res = {
'requests_per_second': (node['requests'], 'N'),
'used_heap_mb': (node['heapSizeMB'], 'N'),
'max_heap_mb': (node['maxHeapSizeMB'], 'N'),
'regions': (len(node['Region']), 'N'),
'read_requests': (0, 'N'),
'write_requests': (0, 'N'),
'number_of_stores': (0, 'N'),
'number_of_store_files': (0, 'N'),
'store_file_size_mb': (0, 'N'),
'store_file_index_size_mb': (0, 'N'),
'memstore_size_mb': (0, 'N'),
'current_compacted_kv': (0, 'N'),
'total_compacting_kv': (0, 'N'),
}
for region in node["Region"]:
res = sum_perf_metrics(res, region)
return res
return {}
