eagle-external/hadoop_jmx_collector/hadoop_jmx_kafka.py

# !/usr/bin/python
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# 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
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from metric_collector import JmxMetricCollector,JmxMetricListener,Runner
import json

class NNSafeModeMetric(JmxMetricListener):
    def on_metric(self, metric):
        if metric["metric"] == "hadoop.namenode.fsnamesystemstate.fsstate":
            if metric["value"] == "safeMode":
                metric["value"] = 1
            else:
                metric["value"] = 0
            self.collector.collect(metric)


class NNHAMetric(JmxMetricListener):
    PREFIX = "hadoop.namenode.fsnamesystem"

    def on_bean(self, bean):
        if bean["name"] == "Hadoop:service=NameNode,name=FSNamesystem":
            if bean[u"tag.HAState"] == "active":
                self.collector.on_bean_kv(self.PREFIX, "hastate", 0)
            else:
                self.collector.on_bean_kv(self.PREFIX, "hastate", 1)


class MemortUsageMetric(JmxMetricListener):
    PREFIX = "hadoop.namenode.jvm"

    def on_bean(self, bean):
        if bean["name"] == "Hadoop:service=NameNode,name=JvmMetrics":
            memnonheapusedusage = round(float(bean['MemNonHeapUsedM']) / float(bean['MemNonHeapMaxM']) * 100.0, 2)
            self.collector.on_bean_kv(self.PREFIX, "memnonheapusedusage", memnonheapusedusage)
            memnonheapcommittedusage = round(float(bean['MemNonHeapCommittedM']) / float(bean['MemNonHeapMaxM']) * 100,
                                             2)
            self.collector.on_bean_kv(self.PREFIX, "memnonheapcommittedusage", memnonheapcommittedusage)
            memheapusedusage = round(float(bean['MemHeapUsedM']) / float(bean['MemHeapMaxM']) * 100, 2)
            self.collector.on_bean_kv(self.PREFIX, "memheapusedusage", memheapusedusage)
            memheapcommittedusage = round(float(bean['MemHeapCommittedM']) / float(bean['MemHeapMaxM']) * 100, 2)
            self.collector.on_bean_kv(self.PREFIX, "memheapcommittedusage", memheapcommittedusage)


class JournalTransactionInfoMetric(JmxMetricListener):
    PREFIX = "hadoop.namenode.journaltransaction"

    def on_bean(self, bean):
        if bean.has_key("JournalTransactionInfo"):
            JournalTransactionInfo = json.loads(bean.get("JournalTransactionInfo"))
            LastAppliedOrWrittenTxId = float(JournalTransactionInfo.get("LastAppliedOrWrittenTxId"))
            MostRecentCheckpointTxId = float(JournalTransactionInfo.get("MostRecentCheckpointTxId"))
            self.collector.on_bean_kv(self.PREFIX, "LastAppliedOrWrittenTxId", LastAppliedOrWrittenTxId)
            self.collector.on_bean_kv(self.PREFIX, "MostRecentCheckpointTxId", MostRecentCheckpointTxId)


if __name__ == '__main__':
    collector = JmxMetricCollector()
    collector.register(
            NNSafeModeMetric(),
            NNHAMetric(),
            MemortUsageMetric(),
            JournalTransactionInfoMetric()
    )
    Runner.run(collector)