4paradigm / 4paradigm/OpenMLDB

feat: support distributed query on BatchMode under some restrictions

Abierto
#318 0 comentarios 0 reacciones 1 asignado Reclamado por @jingchen2222 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

**Is your feature request related to a problem? Please describe.**

Users can be frustrated when distributed batch queries aren't suported currently.
We are considering support batch queried under the distributed environment with some specific restrictions.
- simple query can be supported because the queried rows are independent.
- complex query with aggregation can be supported if the aggregation data has been are partitioned by index.
- aggregation query on data group by index
- aggregation query on data filter by index
- aggregation query on window filter by index

In this issue, we are going to support aggregation query on data group/filter by partition key.

**Describe the solution you'd like**

Before we deep into the implementation of distributed batch queries, we have to deal with some related issues below:
- Support general aggeration like, `SUM`, `MIN`, `MAX` etc, on the whole table #219
- Optimize SQL plan when the queried table is filtered and grouped by the same key/expression #317

**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.

**Additional context**
Add any other context or screenshots about the feature request here.

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Línea de trabajo

The issue describes adding distributed batch query support for aggregation queries filtered/grouped by partition key. Start by reviewing the existing batch query and distributed execution code. Look at related issues #219 and #317 for prerequisite work. Understand the table partitioning and aggregation execution paths. A newcomer would need to understand the distributed query engine and SQL planner.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
sql
Área
databases, distributed-systems, machine-learning
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
20/100

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