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# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# See http://wiki.apache.org/hadoop/GangliaMetrics
#
# Make sure you know whether you are using ganglia 3.0 or 3.1.
# If 3.1, you will have to patch your hadoop instance with HADOOP-4675
# And, yes, this file is named hadoop-metrics.properties rather than
# hbase-metrics.properties because we're leveraging the hadoop metrics
# package and hadoop-metrics.properties is an hardcoded-name, at least
# for the moment.
#
# See also http://hadoop.apache.org/hbase/docs/current/metrics.html

# HBase-specific configuration to reset long-running stats (e.g. compactions)
# If this variable is left out, then the default is no expiration.
hbase.extendedperiod = 3600

{% if has_metric_collector %}

*.timeline.plugin.urls={{metric_collector_lib}}
hbase.class=org.apache.hadoop.metrics2.sink.timeline.HadoopTimelineMetricsSink
hbase.period=10
hbase.collector={{metric_collector_host}}:{{metric_collector_port}}

jvm.class=org.apache.hadoop.metrics2.sink.timeline.HadoopTimelineMetricsSink
jvm.period=10
jvm.collector={{metric_collector_host}}:{{metric_collector_port}}

rpc.class=org.apache.hadoop.metrics2.sink.timeline.HadoopTimelineMetricsSink
rpc.period=10
rpc.collector={{metric_collector_host}}:{{metric_collector_port}}

hbase.sink.timeline.class=org.apache.hadoop.metrics2.sink.timeline.HadoopTimelineMetricsSink
hbase.sink.timeline.period=10
hbase.sink.timeline.collector={{metric_collector_host}}:{{metric_collector_port}}
hbase.sink.timeline.serviceName={{app_name}}

{% else %}

# Configuration of the "hbase" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# hbase.class=org.apache.hadoop.metrics.ganglia.GangliaContext
hbase.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
hbase.period=10
hbase.servers={{metric_collector_host}}:{{metric_collector_port}}

# Configuration of the "jvm" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext
jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
jvm.period=10
jvm.servers={{metric_collector_host}}:{{metric_collector_port}}

# Configuration of the "rpc" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext
rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
rpc.period=10
rpc.servers={{metric_collector_host}}:{{metric_collector_port}}

#Ganglia following hadoop example
hbase.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
hbase.sink.ganglia.period=10

# default for supportsparse is false
*.sink.ganglia.supportsparse=true

.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both
.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40

hbase.sink.ganglia.servers={{metric_collector_host}}:{{metric_collector_port}}

{% endif %}