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annotate Kibana-external-config-patch @ 29:b37cde5bac95

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switch kibana to ruby gem rather than jruby
author Carl Byington <carl@five-ten-sg.com>
date Tue, 07 May 2013 11:03:17 -0700
parents 610835fb4209
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610835fb4209 external configuration for kibana
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1 --- KibanaConfig.rb 2013-05-02 15:22:03.011877891 -0700
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2 +++ KibanaConfig.new.rb 2013-05-02 15:26:57.419447970 -0700
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3 @@ -3,26 +3,14 @@
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4 # Your elastic search server(s). This may be set as an array for round robin
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5 # load balancing
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6 # Elasticsearch = ["elasticsearch1:9200","elasticsearch2:9200"]
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7 - Elasticsearch = "localhost:9200"
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8 + Elasticsearch = ENV['KIBANA_ES'] ? ENV['KIBANA_ES'] : "localhost:9200"
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9
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10 #Set the Net::HTTP read/open timeouts for the connection to the ES backend
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11 ElasticsearchTimeout = 500
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12
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13 - # The port Kibana should listen on
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14 - KibanaPort = 5601
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15 -
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16 - # The adress ip Kibana should listen on. Comment out or set to
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17 - # 0.0.0.0 to listen on all interfaces.
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18 - KibanaHost = '127.0.0.1'
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19 -
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20 - # Below is an example showing how to configure the same variables
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21 - # using environment variables, which can be set in an init script
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22 - # es_ip = ENV['ES_IP'] ? ENV['ES_IP'] : '127.0.0.1'
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23 - # es_port = ENV['ES_PORT'] ? ENV['ES_PORT'] : 9200
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24 - # Elasticsearch = "#{es_ip}:#{es_port}"
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25 - # KibanaPort = ENV['KIBANA_PORT'] ? ENV['KIBANA_PORT'] : 5601
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26 - # KibanaHost = ENV['KIBANA_HOST'] ? ENV['KIBANA_HOST'] : 'localhost'
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27 -
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28 + # The port and adress ip Kibana should listen on.
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29 + KibanaPort = ENV['KIBANA_PORT'] ? ENV['KIBANA_PORT'] : 5601
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30 + KibanaHost = ENV['KIBANA_HOST'] ? ENV['KIBANA_HOST'] : 'localhost'
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31
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32 # The record type as defined in your logstash configuration.
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33 # Seperate multiple types with a comma, no spaces. Leave blank
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34 @@ -44,19 +32,19 @@
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35 # Do not use isoUtcDatetime or the "UTC:" prefix described in the above
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36 # article, as timezone correction is already performed by the "Timezone"
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37 # config variable.
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38 - # Time_format = 'isoDateTime'
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39 + # Time_format = 'isoDateTime'
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40 Time_format = 'mm/dd HH:MM:ss'
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41
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42 # Change which fields are shown by default. Must be set as an array
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43 # Default_fields = ['@fields.vhost','@fields.response','@fields.request']
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44 Default_fields = ['@message']
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45
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46 - # If set to true, Kibana will use the Highlight feature of Elasticsearch to
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47 + # If set to true, Kibana will use the Highlight feature of Elasticsearch to
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48 # display highlighted search results
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49 - Highlight_results = true
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50 + Highlight_results = false
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51
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52 - # A field needs to be specified for the highlight feature. By default,
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53 - # Elasticsearch doesn't allow highlighting on _all because the field has to
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54 + # A field needs to be specified for the highlight feature. By default,
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55 + # Elasticsearch doesn't allow highlighting on _all because the field has to
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56 # be either stored or part of the _source field.
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57 Highlighted_field = "@message"
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58
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59 @@ -99,18 +87,18 @@
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60 # indexing
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61 Smart_index = true
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62
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63 - # You can define your custom pattern here for index names if you
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64 - # use something other than daily indexing. Pattern needs to have
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65 - # date formatting like '%Y.%m.%d'. Will accept an array of smart
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66 - # indexes.
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67 - # Smart_index_pattern = ['logstash-web-%Y.%m.%d', 'logstash-mail-%Y.%m.%d']
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68 + # You can define your custom pattern here for index names if you
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69 + # use something other than daily indexing. Pattern needs to have
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70 + # date formatting like '%Y.%m.%d'. Will accept an array of smart
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71 + # indexes.
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72 + # Smart_index_pattern = ['logstash-web-%Y.%m.%d', 'logstash-mail-%Y.%m.%d']
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73 # Smart_index_pattern = 'logstash-%Y.%m.%d'
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74 # here is an example of how to set the pattern using an environment variable
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75 # Smart_index_pattern = ENV['SMART_INDEX'] ? ENV['SMART_INDEX'] : 'logstash-%Y.%m.%d'
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76 Smart_index_pattern = 'logstash-%Y.%m.%d'
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77 -
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78 +
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79 # Number of seconds between each index. 86400 = 1 day.
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80 - Smart_index_step = 86400
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81 + Smart_index_step = 86400
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82
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83 # ElasticSearch has a default limit on URL size for REST calls,
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84 # so Kibana will fall back to _all if a search spans too many
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85 @@ -120,7 +108,7 @@
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86
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87 # Elasticsearch has an internal mechanism called "faceting" for performing
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88 # analysis that we use for the "Stats" and "Terms" modes. However, on large
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89 - # data sets/queries facetting can cause ES to crash if there isn't enough
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90 + # data sets/queries facetting can cause ES to crash if there isn't enough
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91 # memory available. It is suggested that you limit the number of indices that
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92 # Kibana will use for the "Stats" and "Terms" to prevent ES crashes. For very
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93 # large data sets and undersized ES clusers, a limit of 1 is not unreasonable.