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  1. Top results related to when to use wikidata's elasticsearch index 0 is 5

  2. pypi.org › project › elastic-wikidataelastic-wikidata - PyPI

    Feb 3, 2022 · As of version 0.3.1 refreshing the search index is disabled for the duration of load by default, as recommended by ElasticSearch. Refresh is re-enabled to the default interval of 1s after load is complete.

  3. Dec 13, 2012 · Yes, there are smarter ways how to re-index your data without downtime. First, never, ever use the "final" index name as your real index name. So, if you'd like to name your index "articles", don't use that name as a physical index, but create an index such as "articles-2012-12-12" or "articles-A", "articles-1", etc.

  4. www.wikidata.org › wiki › Wikidata:Data_accessWikidata:Data access

    Aug 16, 2024 · Getting support. Wikidata currently contains over 100 million Items and over 650,000 Lexemes, and these numbers will keep on growing. There are many methods available to access all that data—this document lays them out and helps prospective users choose the best method to suit their needs.

  5. elastic-wikidata needs the Elasticsearch credentials ELASTICSEARCH_CLUSTER, ELASTICSEARCH_USER and ELASTICSEARCH_PASSWORD to connect to your ES instance. You can set these in one of three ways: Using environment variables: export ELASTICSEARCH_CLUSTER=https://... etc.

  6. History. 61 lines (46 loc) · 1.46 KB. Wikidata to ElasticSearch. This is a little script that imports the Wikidata JSON dump into an ElasticSearch instance. Additionally this script also does some transformation of the data. Data format. The data transformation is done in the function 'parseLine' in the import script.

  7. elastic-wikidata needs the Elasticsearch credentials ELASTICSEARCH_CLUSTER, ELASTICSEARCH_USER and ELASTICSEARCH_PASSWORD to connect to your ES instance. You can set these in one of three ways: Using environment variables: export ELASTICSEARCH_CLUSTER=https://... etc

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  9. Jul 17, 2023 · Understand what an index is in Elasticsearch and how it compares to relational databases. Learn about flexible storage, efficient retrieval, advanced indexing, and search capabilities.

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