ClickHouse / ClickHouse/clickhouse-java
Unknown aggregate function: avgIf` occurs when querying via JDBC. (Trino and Dbeaver)
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- Java
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描述
## Description
**Problem Analysis:**
**Core issue:** An error occurs when executing a query against the `default.nm_advert_stats_daily` table via the JDBC driver (DBeaver), whereas a direct query using the native ClickHouse client works correctly.
**Key points:**
1. **Error:** `Unknown aggregate function: avgIf` occurs when querying via JDBC.
2. **Direct query** in the ClickHouse console executes successfully.
3. **The table** uses aggregate functions in its columns:
- `position_avg_state AggregateFunction(avgIf, Float64, UInt8)`
- `position_quantiles_state AggregateFunction(quantilesTDigestIf(0.5, 0.9, 0.95), Float64, UInt8)`
**Software versions:**
- ClickHouse Server: 24.8.8
- JDBC Driver: Official ClickHouse driver (server version 21.3+)
**The Problem:** There is an incompatibility between the JDBC driver version and the ClickHouse server version. The driver does not recognize the syntax of the aggregate functions (`avgIf`) that are supported by the server.
**Solutions suggested by the participants:**
- Fix JDBC driver is up to date due to we can't use native client for Trino and Dbeaver
### Steps to reproduce
1.
2.
3.
### Error Log or Exception StackTrace
```
Trino try to select
select *
from table(ads_ch_ch.system.query(
query => 'select * from default.nm_advert_stats_daily limit 100'
)); -- this is native clickhouse execution
QL Error [65536]: Query failed (#20260407_141005_02502_hqy64): com.google.common.util.concurrent.UncheckedExecutionException: java.lang.IllegalArgumentException: Unknown aggregate function: avgIf
```
### Expected Behaviour
### Code Example
```java
```
### Configuration
#### Client Configuration
```java
```
#### Environment
* [ ] Cloud
* Client version:
* Language version:
* OS:
#### ClickHouse Server
* ClickHouse Server version:
* ClickHouse Server non-default settings, if any:
* `CREATE TABLE` statements for tables involved:
* Sample data for all these tables, use [clickhouse-obfuscator](https://github.com/ClickHouse/ClickHouse/blob/master/programs/obfuscator/Obfuscator.cpp#L42-L80) if necessary
贡献指南
调研方向
报告提到了 JDBC 驱动、DBeaver、Trino 和 default.nm_advert_stats_daily 表,但没有提到任何仓库文件或测试。首先使用所述的服务器和驱动版本复现 Trino JDBC 查询,并将其与原生 ClickHouse 查询进行比较;当 JDBC 路径能够处理聚合函数 avgIf 且不再出现所报告的错误时,即视为完成。
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评估
- 技术栈
- java, sql
- 领域
- api, database
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 冷清
- 描述清晰度
- 需要澄清
- 新手友好度
- 35/100