added pysolr reference to requirements.txt and solr_to_es/main.py added code to solr_to_es/solrSource.py to echo requests and reponses which was needed to:

1. debug bad command line syntaxes
2. show HTTP failures
3. show progress during migrations

This will migrate a Solr node to an Elasticsearch index.

• Python 3+
  • elasticsearch
  • pysolr

usage: solr-to-es [-h] [--solr-query SOLR_QUERY] [--solr-fields COMMA_SEP_FIELDS]
                  [--rows-per-page ROWS_PER_PAGE] [--es-timeout ES_TIMEOUT]
                  solr_url elasticsearch_url elasticsearch_index doc_type

The following example will page through all documents on the local Solr, and submit them to the local Elasticsearch server in the index es_index with a document type of solr_docs.

solr-to-es.py localhost:8983/solr/select localhost:9200 es_index solr_docs

solr_url is the full url to your Solr,

elasticsearch_url is the url of your Elasticsearch server.

elasticsearch_index is the index you will submit the Solr documents to on Elasticsearch.

doc_type is the type of document Elasticsearch should assume you are importing.

--solr-query defaults to *:*

--solr-fields defaults to (i.e. all fields)

--rows-per-page defaults to 500

--es-timeout defaults to 60

Run python setup.py install to install the script.

Here is an example of grabbing the over 114 thousand journal articles from Plos.org API about animals.

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch

solr-to-es --solr-query animal http://api.plos.org/search localhost:9200 es_plos solr_docs

curl http://localhost:9200/_cat/indices?v

Note: that you will get an 403 Forbidden error from the script, and that is because the solr.quepid.com doesn't allow deep paging, however you will have documents in your ES cluster.