Elastic Search how to see the indexed data

Question

I had a problem with ElasticSearch and Rails  where some data was not indexed properly because  of attr protected  Where does Elastic Search store the indexed data  It would be useful to check if the actual indexed data is wrong   Checking the mapping with Tire index  models   mapping does not help  the field is listed

User · Answer

A tool that helps me a lot to debug ElasticSearch is ElasticHQ. Basically, it is an HTML file with some JavaScript. No need to install anywhere, let alone in ES itself: just download it, unzip int and open the HTML file with a browser.

Not sure it is the best tool for ES heavy users. Yet, it is really practical to whoever is in a hurry to see the entries.

User · Answer

Following  JanKlimo example  on terminal all you have to do is   to see all the Index     curl -XGET  http   127 0 0 1 9200  cat indices v    to see content of Index products development 20160517164519304     curl -XGET  http   127 0 0 1 9200 products development 20160517164519304  search pretty 1

User · Answer

Probably the easiest way to explore your ElasticSearch cluster is to use elasticsearch-head   You can install it by doing   cd elasticsearch    bin plugin -install mobz elasticsearch-head   Then  assuming ElasticSearch is already running on your local machine   open a browser window to    http   localhost 9200  plugin head   Alternatively  you can just use curl from the command line  eg       Check the mapping for an index   curl -XGET  http   127 0 0 1 9200 my index  mapping pretty 1     Get some sample docs   curl -XGET  http   127 0 0 1 9200 my index  search pretty 1     See the actual terms stored in a particular field  ie how that field has been analyzed    curl -XGET  http   127 0 0 1 9200 my index  search pretty 1   -d           facets              my terms                 terms                    size    50                field     foo                                  More available here  http   www elasticsearch org guide  UPDATE   Sense plugin in Marvel  By far the easiest way of writing curl-style commands for Elasticsearch is the Sense plugin in Marvel    It comes with source highlighting  pretty indenting and autocomplete   Note  Sense was originally a standalone chrome plugin but is now part of the Marvel project

User · Answer

If you are using Google Chrome then you can simply use this extension named as Sense it is also a tool if you use Marvel   https   chrome google com webstore detail sense-beta lhjgkmllcaadmopgmanpapmpjgmfcfig

User · Answer

Kibana is also a good solution  It is a data visualization platform for Elastic If installed it runs by default on port 5601    Out of the many things it provides  It has  Dev Tools  where we can do your debugging   For example you can check your available indexes here using the command   GET   cat indices

User · Answer

Aggregation Solution  Solving the problem by grouping the data - DrTech s answer used facets in managing this but  will be deprecated according to Elasticsearch 1 0 reference   Warning  Facets are deprecated and will be removed in a future release  You are encouraged to migrate to aggregations instead    Facets are replaced by aggregates - Introduced in an accessible manner in the Elasticsearch Guide - which loads an example into sense    Short Solution  The solution is the same except aggregations require aggs instead of facets and with a count of 0 which sets limit to max integer  - the example code requires the Marvel Plugin    Basic aggregation GET  houses occupier  search search type count        aggs               indexed occupier names          lt   Whatever you want this to be              terms                     field     first name       lt   Name of the field you want to aggregate                size    0                                   Full Solution  Here is the Sense code to test it out - example of a houses index  with an occupier type  and a field first name   DELETE  houses    Index example docs POST  houses occupier  bulk    index          first name    john       index          first name    john       index          first name    mark        Basic aggregation GET  houses occupier  search search type count        aggs               indexed occupier names                   terms                     field     first name                  size    0                                     Response  Response showing the relevant aggregation code  With two keys in the index  John and Mark                 aggregations            indexed occupier names               buckets                                   key    john                        doc count   2      lt   2 documents matching                                                                      key    mark                   doc count   1      lt   1 document matching

User · Answer

ElasticSearch data browser  Search  charts  one-click setup

User · Answer

Absolutely the easiest way to see your indexed data is to view it in your browser  No downloads or installation needed   I m going to assume your elasticsearch host is http   127 0 0 1 9200   Step 1  Navigate to http   127 0 0 1 9200  cat indices v to list your indices  You ll see something like this     Step 2  Try accessing the desired index  http   127 0 0 1 9200 products development 20160517164519304  The output will look something like this     Notice the aliases  meaning we can as well access the index at  http   127 0 0 1 9200 products development  Step 3  Navigate to http   127 0 0 1 9200 products development  search pretty to see your data

[ruby-on-rails] Elastic Search: how to see the indexed data

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