Elasticsearch Query Language: ES|QL
A presentation at FinistDevs in in Brest, France by David Pilato
Elasticsearch Query Language ES|QL o s e d li David Pilato - @dadoonet Developer | Evangelist & s m e d
A brief history of Elasticsearch’s analytical capabilities 2010 2013 2014 2015 2023 Elasticsearch 0.9 Elasticsearch < 0.90 Elasticsearch 1.0 Elasticsearch 2.0 Elasticsearch 8.11 Facets Facet terms-stats Aggregations Pipeline aggregations ES|QL
ES|QL • Language • Engine • Visualization
o e d li ES|QL in action https://github.com/dadoonet/esql-demo s & s m e d
PROJECTIONS Each language client will offer a selection of projections relevant to that language ecosystem. RESULT DATA Ways to consume ES|QL results Users can consume raw data directly from the server output in one of several formats. DataFrame Object / Dict Cursor For mapping domain objects within a client application For incremental consumption of results, with implicit pagination For data science and analytics; integration with frameworks like Pandas Text CSV JSON Human-readable format ideal for interactive work, CLIs, etc Raw CSV data to load directly into spreadsheets and ETL processes Structured response containing metadata and data in a 2D value array Bring your own Custom projections built atop raw server output Apache Arrow Dataframe IPC format
Object API https://github.com/dadoonet/elasticsearch-java-client-demo String query = “”” FROM persons | WHERE name == “David” | KEEP name | LIMIT 1 “”“; Iterable<Person> persons = client.esql() .query(ObjectsEsqlAdapter.of(Person.class), query); for (Person person : persons) { assertNull(person.getId()); assertNotNull(person.getName()); }
ResultSet JDBC API https://github.com/dadoonet/elasticsearch-java-client-demo String query = “”” FROM persons | WHERE name == “David” | KEEP name | LIMIT 1 “”“; try (ResultSet resultSet = client.esql() .query(ResultSetEsqlAdapter.INSTANCE, query)) { assertTrue(resultSet.next()); assertEquals(“David”, resultSet.getString(1)); }
POST /_query 8. 16 { “query”: “”” from logs-* | stats x = ?function(?field) by ?breakdownField A better dashboard experience with named parameters | where x >= ?value “”“, “params”: [ {“function” : {“identifier” : “avg”}}, {“field” : {“identifier” : “network.bytes”}}, {“breakdownField” : {“identifier” : “agent.name”}}, {“value”: 1000} ] }
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- 17 Coming next WHERE MATCH(actors, “Marlon*”) WHERE QSTR(“bytes:[1024 TO 2048]”)
- 18 Coming next WHERE KQL(“bytes>=1024”)
TB joinType JOIN indexName (AS qualifier)? condition? joinType: LOOKUP | LEFT | RIGHT | INNER condition: ON identifier == identifier | USING identifier JOINS! INLINESTATS total_visits = COUNT() FROM employees | SORT emp_no | LOOKUP JOIN languages_lookup ON language_code | KEEP emp_no, language_name ● No need to create an enrich policy ● A drag and drop experience in the UI D
Elasticsearch Query Language ES|QL o s e d li David Pilato - @dadoonet Developer | Evangelist & s m e d
Dans cette session sans slides, nous découvrirons par la pratique ce qu’apporte le nouveau language ES|QL pour aller fouiller dans nos données indexées dans Elasticsearch et ce, de façon interactive et visuelle.
ES|QL et surtout le nouveau moteur derrière l’API _query apportent à la fois une syntaxe simplifiée permettant d’affiner vos résultats, étape par étape et ajouter de nouvelles fonctionnalités comme par exemple l’enrichissement de données et la transformation à la volée, directement dans votre requête, mais également des performances inégalées.
Resources
The following resources were mentioned during the presentation or are useful additional information.
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Event page
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Demo code
The code played during the demo
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Playground page
If you want to try ES|QL, there’s an open instance with some data.
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ES|QL Guide
The official guide
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Java Demo code
The Java demo for ES|QL
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