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@ -475,7 +475,7 @@ port=8125
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[elasticsearch]
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# Configuration for the --export elasticsearch option
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# Data are available via the ES RESTful API. ex: URL/<index>/cpu/system
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# Data are available via the ES RESTful API. ex: URL/<index>/cpu
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# https://www.elastic.co
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host=localhost
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port=9200
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@ -500,10 +500,11 @@ queue=glances_queue
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# Configuration for the --export mqtt option
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host=localhost
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port=8883
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tls=true
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user=guest
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password=guest
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topic=glances
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tls=true
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topic_structure=per-metric
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[couchdb]
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# Configuration for the --export couchdb option
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@ -21,22 +21,4 @@ and run Glances with:
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$ glances --export elasticsearch
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The stats are available through the elasticsearch API. For example, to
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get the CPU system stats:
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.. code-block:: console
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$ curl http://172.17.0.2:9200/glances/cpu/system
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{
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"_index": "glances",
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"_type": "cpu",
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"_id": "system",
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"_version": 28,
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"found": true,"
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_source": {
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"timestamp": "2016-02-04T14:11:02.362232",
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"value": "2.2"
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}
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}
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.. _elasticsearch: https://pypi.org/project/elasticsearch/
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@ -55,11 +55,6 @@ class Export(GlancesExport):
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if not self.export_enable:
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return None
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# if self.version != elk_version[0]:
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# logger.critical(
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# "ElasticSearch Python client {} is mandatory, you have version {}".format(self.version, elk_version[0]))
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# sys.exit(2)
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try:
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es = Elasticsearch(hosts=['{}:{}'.format(self.host, self.port)])
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except Exception as e:
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