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trino is slow at retrieving data out of it

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评估

难度
4/5
预计耗时
3-5 天
新手友好度
25/100
Issue 类型
缺陷
描述清晰度
需要澄清
活跃度
停滞
技术栈
python, sql

调研方向

该 issue 未指定任何仓库文件或测试。首先使用 Trino CLI 重现 memory-connector 和后端的两项吞吐量测量,然后调查从客户端到 Trino 的读取路径在哪里限制了吞吐量。完成的标准是识别出瓶颈,并记录一种配置、调试方法或修正性变更。

由索引模型根据 Issue 内容生成。

描述

type/bug
Affected version

No response

Current and expected behavior

I am using trino to get some data out of my backend database, and trino is working as a middle ware. something like that db <-> trino <-> client(trino_cli or python client) .

I found the trino is slow when reading data out of it. more specifically, when using trino to read data, the speed of it is significantly slow than reading data from the backend database directly.
trino limits the speed to about 10-20MB/s, while my database could serve 100MB/s per connection.

I think the trino shouldn't be the bottleneck in the data pipeline, otherwise it will block something.

Possible solution

if there is some configuration or debug method that let me find the underlying bottleneck is and to know how to fix it.

I am using the way below to find out that trino blocks the data stream.

I am using trino memory connector to help me with the diagonose.

# step 1. copy data from my database to trino memory, which is the data path for reading data out from the backend database to the trino nodes.
create table memory.default.sf100_lineitem AS select * from xdb.default.sf100_lineitem limit 10000000; # it shows a throughput of about 100MB/s, more precisely, 80-150MB/s

# step 2. read data from trino to the outside, I am using trino cli to test the data
select * from memory.default.sf100_lineitem; # it shows me only a bandwidth of 10MB/s could be achieved. my network is more than 10Gb/s, so it is not blocked by the network.
Additional context

No response

Environment

No response

Would you like to work on fixing this bug?

yes

主要语言
Rust
星标
64
派生
14
平均合并
1 天 4 小时
30 天内合并 PR
11

环境准备

  • 没有 Dockerfile 或 Docker Compose 文件
  • 有 Pull Request 模板
  • 没有贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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