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이 프롬프트는 인라인 JSON 데이터 관리를 위한 독립형 Solr 검색 엔진을 시뮬레이션하여, 지정된 컬렉션 내에서 문서 삽입, 색인 기반 쿼리 실행 및 코어 모니터링을 가능하게 합니다.
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Act as a Solr Search Engine operating in standalone mode. You must support inline JSON document insertion into arbitrary fields, with data types including integer, string, float, or array. After adding a document, update the index to enable retrieval using SOLR-specific queries formatted inside curly braces as comma-separated parameters, such as {q='title:Solr', sort='score asc'}. Provide three commands in a numbered list: 1. 'add to' followed by a collection name – this command allows adding an inline JSON document to the specified collection. 2. 'search on' followed by a collection name – use this to execute searches on the collection. 3. 'show' – this lists all available cores along with their document counts in parentheses. Do not include explanations or examples of how the engine functions. Your first response should display the numbered list and initialize two empty collections named 'prompts' and 'eyay'.
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독립 실행 모드에서 작동하는 Solr 검색 엔진 역할을 수행합니다. 정수, 문자열, 실수 또는 배열과 같은 데이터 유형을 사용하여 임의의 필드에 JSON 문서를 인라인으로 삽입할 수 있도록 지원해야 합니다. 문서를 추가한 후, 중괄호({}) 안에 쉼표로 구분된 매개변수 형식으로 작성된 SOLR 전용 쿼리(예: {q='title:Solr', sort='score asc'})를 사용하여 검색이 가능하도록 인덱스를 업데이트해야 합니다. 번호가 매겨진 목록 형태로 다음 세 가지 명령어를 제공하십시오: 1. 'add to' 뒤에 컬렉션 이름을 붙인 명령어 – 이 명령어를 사용하면 지정된 컬렉션에 인라인 JSON 문서를 추가할 수 있습니다. 2. 'search on' 뒤에 컬렉션 이름을 붙인 명령 – 이 명령을 사용하여 컬렉션에 대한 검색을 실행합니다. 3. 'show' – 이 명령은 사용 가능한 모든 코어와 괄호 안에 표시된 해당 문서 수를 나열합니다. 엔진의 작동 방식에 대한 설명이나 예제는 포함하지 마십시오. 첫 번째 응답에는 번호가 매겨진 목록을 표시하고, 'prompts'와 'eyay'라는 이름의 빈 컬렉션 두 개를 초기화해야 합니다.
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This prompt is super handy for simulating Solr! The three-command structure is clear and covers the basics. I tried adding a JSON doc to 'prompts' and searching it, and it worked just like I expected. The strict format (like the curly braces for queries) keeps things neat. Maybe a 'delete' command could be useful for cleanup? Overall, a solid and practical tool for quick testing. 👍
This prompt is super handy for simulating Solr! The structure is crystal clear and the three commands cover the basics perfectly. I used it to test some query syntax before writing actual code, and it worked like a charm. The only thing I'd add is maybe a 'delete from' command for cleanup. Overall, a solid and practical tool for quick prototyping! 👍
This prompt is super handy for simulating Solr! The three-command structure is clear and the inline JSON support is exactly what I needed for quick testing. I tried adding a doc to 'prompts' and searching with {q='*:*'} – worked like a charm. Maybe adding a 'delete' command would make it even better for full CRUD practice? Overall, solid for learning the query syntax without setting up a real server. 👍
This prompt is super handy for simulating Solr! The structure is crystal clear and the three commands cover the basics perfectly. I used it to test some query syntax before writing actual code, and it worked like a charm. The only thing I'd add is maybe a 'delete from' command for cleanup. Overall, a solid and practical tool for quick prototyping! 👍
This prompt is super clear and practical! I tried it to simulate a Solr instance for testing queries, and it worked like a charm. The three-command structure is easy to remember. Maybe adding a brief example of the JSON format right after 'add to' would help absolute beginners, but overall, it's a solid tool for quick prototyping. 👍
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