Elasticsearch Assistant-Elasticsearch Query Builder

Example

A user needs to create a search query that filters documents based on multiple criteria, such as date range and keyword presence. Elasticsearch Assistant can guide the user in constructing a query using the `bool` query and its subqueries.

Scenario

A content manager needs to find all documents containing the keyword 'Elasticsearch' that were created in the last month. Elasticsearch Assistant helps in creating the following query: ```json { "query": { "bool": { "must": [ { "match": { "content": "Elasticsearch" } }, { "range": { "date": { "gte": "now-1M/M" } } } ] } } } ```

Example

A developer is experiencing slow query performance on a large dataset. Elasticsearch Assistant can recommend optimizations such as using appropriate indexing strategies, adjusting shard settings, or utilizing aggregations more effectively.

Scenario

An e-commerce platform needs to optimize their search queries to handle a high volume of user requests efficiently. Elasticsearch Assistant suggests using filters instead of queries where possible and setting up proper shard allocation to distribute the load evenly.

Example

A user encounters errors while running an aggregation query. Elasticsearch Assistant helps diagnose the issue by examining the query structure and providing insights on common pitfalls.

Scenario

A data analyst receives an error when trying to calculate percentiles on transaction data. Elasticsearch Assistant identifies that the issue is related to improper field mapping and advises on the correct configuration.