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id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
id title category status verification_status canonical_id aliases duplicate_of source_trust_level confidence_score created_at updated_at review_reason merge_history tags raw_sources applied_in github_commit
sql-count SQL Count Database draft conceptual
SQL COUNT() Function
COUNT function
SQL 개수 세기
B 0.9 2026-07-04 2026-07-04
sql
database
w3schools
count
aggregate
https://www.w3schools.com/sql/sql_count.asp

SQL Count

🎯 한 줄 통찰 (One-line insight)

COUNT() behaves differently depending on its argument — COUNT(*) counts all rows including NULLs, COUNT(column) counts non-null values, and COUNT(DISTINCT column) counts unique non-null values. [S1]

🧠 핵심 개념 (Core concepts)

  • COUNT() function — returns the number of rows matching a specified criterion. [S1]
  • SyntaxSELECT COUNT([DISTINCT] column_name | *) FROM table_name WHERE condition;. [S1]
  • COUNT(*) — counts the total number of rows, including NULL values. [S1]
  • COUNT(column_name) — counts only non-null values in that column. [S1]
  • COUNT(DISTINCT column_name) — counts only unique, non-null values. [S1]

🧩 추출된 패턴 (Extracted patterns)

  • Argument choice changes semantics — the three COUNT variants answer three different questions (total rows / filled-in rows / unique values), so picking the right one matters for correctness, not just style. [S1]

📖 세부 내용 (Details)

  • Total row count: SELECT COUNT(*) FROM Products;. [S1]
  • Non-null count for a column: SELECT COUNT(ProductName) FROM Products;. [S1]
  • Unique non-null count: SELECT COUNT(DISTINCT Price) FROM Products;. [S1]
  • With WHERE: SELECT COUNT(ProductID) FROM Products WHERE Price > 20;. [S1]
  • With alias: SELECT COUNT(*) AS [Number of records] FROM Products;. [S1]
  • With GROUP BY: SELECT COUNT(*) AS [Number of records], CategoryID FROM Products GROUP BY CategoryID;. [S1]

⚖️ 모순 및 업데이트 (Contradictions & updates)

소스에서 모순되는 정보는 발견되지 않음.

🛠️ 적용 사례 (Applied in summary)

현재 발견된 실제 적용 사례가 없습니다 — SELECT DISTINCT 챕터에서 이미 소개된 COUNT(DISTINCT ...) 패턴이 여기서 정식으로 다뤄진다. [S1]

💻 코드 패턴 (Code patterns)

Three COUNT variants (SQL):

SELECT COUNT(*) FROM Products;                 -- all rows, incl. NULLs
SELECT COUNT(ProductName) FROM Products;       -- non-null values only
SELECT COUNT(DISTINCT Price) FROM Products;    -- unique non-null values

검증 상태 및 신뢰도

  • 상태: draft
  • 검증 단계: conceptual
  • 출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
  • 신뢰 점수: 0.90
  • 중복 검사 결과: 신규 생성 (New discovery)

🔗 지식 그래프 (Knowledge Graph)

📚 출처 (Sources)

📝 변경 이력 (Change history)

  • 2026-07-04: Initial draft synthesized from the W3Schools "SQL COUNT() Function" page (Astra wiki-curation, P-Reinforce v3.1 format).