Index DBnomics data with Apache Solr for full-text and faceted search
Project description
DBnomics Solr
Index DBnomics data into Apache Solr for full-text and faceted search.
Requirements:
- a running instance of Apache Solr; at the time this documentation is written, we use the version 7.3.
See dbnomics-docker to run a local DBnomics instance with Docker that includes a service for Apache Solr.
Configuration
Environment variables:
DEBUG_PYSOLR: display pysolr DEBUG logging messages (cf https://github.com/django-haystack/pysolr)
Index a provider
Replace wto by the real provider slug in the following command:
dbnomics-solr index-provider /path/to/wto-json-data
Full mode vs incremental mode
When data is stored in a regular directory, the script always indexes all datasets and series of a provider. This is called full mode.
When data is stored in a Git repository, the script runs by default in incremental mode: it indexes only the datasets modified since the last indexation.
It is possible to force the full mode with the --full option.
Bare repositories
The script has an option --bare-repo-fallback which tries to add .git at the end of the storage dir name, if not found.
Remove all data from a provider
To remove all the documents related to a provider (type:provider, type:dataset and type:series):
dbnomics-solr --debug delete-provider --code <provider_code>
dbnomics-solr --debug delete-provider --slug <provider_slug>
# Examples:
dbnomics-solr --debug delete-provider --code WTO
dbnomics-solr --debug delete-provider --slug wto
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