Simple re-indexing. To backup, apply index settings changes and more ElasticMagic
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karussell Merge pull request #35 from vanatteveldt/patch-2
Add comment about the term filter.
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This plugin can be used to

  • update all or selected documents of an index, e.g. after you change the settings of a type
  • to change the index settings like shard count: create a new index with that config and reindex all documents into that index
  • grab all or selected documents from another elasticsearch cluster and feed your local machine with that
  • and more like a filtered backup etc
  • See on how to use this plugin as simple rewriter of your content


Apache License 2.0



you should see 'loaded [reindex], sites []' in the logs. Or use the script for development purposes. Be sure to use elasticsearch 1.4.0. For newer versions - please provide pull requests ;)

Note: This script will build and install the plugin assuming elasticsearch is found in /usr/share/elasticsearch. The script will call 'sudo' on the install part, so the script should be run as a user with sudo privileges. Since maven will be used to build the plugin, it requires maven to be installed, which can be installed with the command below on a debian/ubuntu system.

sudo apt-get install maven2


sudo $ES_HOME/bin/plugin remove reindex

sudo service elasticsearch restart



  • Please try this on your local machine before using it in production - especially the case searchHost!=localhost could be problematic for your performance/IO
  • The call is not async and not stopable (except you stop the requested server) => The plugin should probably be better a river
  • If you have two servers on localhost and the queried server port is 9201 and you want to search the different server at 9200 => then you have to use e.g. searchHost=

Same cluster

curl -XPUT 'http://localhost:9200/indexnew/typenew/_reindex?searchIndex=indexold&searchType=typeold' -d ' { "term" : { "count" : 2 } }'

This refeeds all documents in index 'indexold' with type 'typeold' into the index 'indexnew' with type 'typenew'. But only documents matching the specified filter will be refeeded. The internal Java API will be used which should be efficient. In this example, the term filter is used to limit the documents that will be reindexed, you can leave out the filter to copy all documents to the new index.

Same cluster with create index api

curl -XPUT 'http://localhost:9200/_reindex?index=indexnew&type=*&searchIndex=indexold'

This command creates the indexnew if not exist (the newIndexShards can be set to specify the number of shards). If type=* reindex all types from the index. If you want to skip some type and skipType=type1,type2

Different cluster

Now JSONObjects and the HttpClient will be used. TODO that is probably not efficient in terms of RAM/CPU?!:

curl -XPUT 'http://localhost:9200/indexnew/typenew/_reindex?searchIndex=indexold&searchType=typeold&' -d ' { "term" : { "count" : 2 } }'

Further parameters:

  • hitsPerPage - used as search limit and at the same time for bulk indexing (default 100)
  • keepTimeInMinutes - the maximum time in minutes a scroll search is valid (default 30) increase if you have more data
  • withVersion - if the version of a document should be respected (default false)
  • waitInSeconds - pause the specified time after every request pair (one search+one bulkIndex). This avoids heavy load on the search or on the indexing server/cluster. This way it is very easy e.g. to grab even a massive amount of data from your production servers into your local machine.


  • the index 'indexnew' and the type 'typenew' should exist.
  • the parameters 'searchIndex' and 'searchType' are optional and the new ones will be used if not provided
  • the filter is also optional