How to copy some ElasticSearch data to a new index

Question

Let\'s say I have movie data in my ElasticSearch and I created them like this:

curl -XPUT \"http://192.168.0.2:9200/movies/movie/1\" -d\'
{
    \"title\": \"         


        

Answer 1

To reindex specific type from source index to destination index type syntax is

POST _reindex/
 {
 "source": {
 "index": "source_index",
 "type": "source_type",
 "query": {
  // add filter criteria
   }
 },
 "dest": {
  "index": "dest_index",
  "type": "dest_type"
  }
}

Answer 2

Since ElasticSearch 2.3 you can now use the built in _reindex API

for example:

POST /_reindex
{
  "source": {
    "index": "twitter"
  },
  "dest": {
    "index": "new_twitter"
  }
}

Or only a specific part by adding a filter/query

POST /_reindex
{
  "source": {
    "index": "twitter",
    "query": {
      "term": {
        "user": "kimchy"
      }
    }
  },
  "dest": {
    "index": "new_twitter"
  }
}

Read more: https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-reindex.html

Answer 3

Well the straightforward way to do this is to write code, with the API of your choice, querying for "year": 1972 and then indexing that data into a new index. You would use the Search api or the Scan and Scroll API to get all the documents and then either index them one by one or use the Bulk Api:

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-search.html

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-scroll.html

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/docs-index_.html

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/docs-bulk.html

Assuming you don't want to do this via code but are looking for a direct way of doing this, I suggest the Elasticsearch Snapshot and Restore. Basically you would take a snapshot of your existing index, restore it into a new index and then use the Delete command to delete all documents with a year other than 1972.

Snapshot And Restore

The snapshot and restore module allows to create snapshots of individual indices or an entire cluster into a remote repository. At the time of the initial release only shared file system repository was supported, but now a range of backends are available via officially supported repository plugins.

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-snapshots.html

Delete By Query API

The delete by query API allows to delete documents from one or more indices and one or more types based on a query. The query can either be provided using a simple query string as a parameter, or using the Query DSL defined within the request body.

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/docs-delete-by-query.html

Answer 4

You can do it easily with elasticsearch-dump (https://github.com/taskrabbit/elasticsearch-dump) in three steps. In the following example I copy the index "thor" to "thor2"

elasticdump --input=http://localhost:9200/thor --output=http://localhost:9200/thor2 --type=analyzer

elasticdump --input=http://localhost:9200/thor --output=http://localhost:9200/thor2 --type=mapping

elasticdump --input=http://localhost:9200/thor --output=http://localhost:9200/thor2 --type=data

Answer 5

Check out knapsack: https://github.com/jprante/elasticsearch-knapsack

Once you have the plugin installed and working, you could export part of your index via query. For example:

curl -XPOST 'localhost:9200/test/test/_export' -d '{
"query" : {
    "match" : {
        "myfield" : "myvalue"
    }
},
"fields" : [ "_parent", "_source" ]
}'

This will create a tarball with only your query results, which you can then import into another index.

Answer 6

The best approach would be to use elasticsearch-dump tool https://github.com/taskrabbit/elasticsearch-dump.

The real world example I used :

elasticdump \
  --input=http://localhost:9700/.kibana \
  --output=http://localhost:9700/.kibana_read_only \
  --type=mapping
elasticdump \
  --input=http://localhost:9700/.kibana \
  --output=http://localhost:9700/.kibana_read_only \
  --type=data