4paradigm / 4paradigm/OpenMLDB

SQL function: `FirstValue` and `LastValue`

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#222 0 comentarios 0 reacciones 1 asignado Asignado a @aceforeverd Ver en GitHub
enhancement
Lenguaje dominante
C++
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1.7k
Forks
331
Merge medio
12 d 12 h
PR fusionados (30 d)
1

Descripción

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## first_value
`first_value(expr[, isIgnoreNull]) `
- Returns the first value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values.

### Examples:
```SQL

> SELECT first_value(col) FROM VALUES (10), (5), (20) AS tab(col);
10
> SELECT first_value(col) FROM VALUES (NULL), (5), (20) AS tab(col);
NULL
> SELECT first_value(col, true) FROM VALUES (NULL), (5), (20) AS tab(col);
5
```

### Note:
The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

## last_value
l`ast_value(expr[, isIgnoreNull])`
- Returns the last value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values

### Examples:
```SQL
> SELECT last_value(col) FROM VALUES (10), (5), (20) AS tab(col);
20
> SELECT last_value(col) FROM VALUES (10), (5), (NULL) AS tab(col);
NULL
> SELECT last_value(col, true) FROM VALUES (10), (5), (NULL) AS tab(col);
5
```

### Note:

The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

**Describe the solution you'd like**
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目前HybridSE的在线数据是默认倒序的。在获取firstvalue和lastvalue需要特别关注这个问题
**Describe alternatives you've considered**
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**Additional context**
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Línea de trabajo

The issue is about implementing SQL window functions `first_value` and `last_value` in OpenMLDB, with an optional null-ignoring flag. Look for existing window function implementations in the codebase, likely in SQL parser and execution engine. Understand how online data ordering works (default reverse order). Start by examining the function registration and evaluation logic for aggregate/window functions. Write tests to verify behavior with and without the isIgnoreNull parameter.

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Evaluación

Stack tecnológico
sql
Área
databases, machine-learning
Tipo de issue
Nueva funcionalidad
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
45/100

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