I have an ElasticSearch index with around 200M documents, total index size of 90Gb.

I changed mapping, so I would like ElasticSearch to re-index all the documents.

I wrote a script that creates a new index (with the new mapping), then goes over all the documents in the old index and puts then into the new one.

It seems to work, but the problem is that it works extremely slowly. It started with 300 documents / minute two days ago, and now the speed is 150 documents/minute.

The script runs on a machine within the same network the elastic search machines in.

With such speed it will require a month for the re-index to finish.

Does anybody know about some faster technique to re-index an elastic search index?

有帮助吗?

解决方案

Answered in the google groups:

Option A: Use bulk index operations.

Option B: Use the re-index plug-in that runs inside ES machine: https://github.com/karussell/elasticsearch-reindex

其他提示

The proper way how to reindex with Elasticsearch is to use the scan and scroll APIs, which should be supported by Pyes.

It seems like the Pyes library has a reindex method, but I don't have experience with it.

(If you'd get over using Ruby over Python :), the Tire Ruby client has a Index#reindex method: https://github.com/karmi/tire/blob/master/test/integration/reindex_test.rb. It should be fast enough for your data.)

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