ug0
I have code to do bulk insert which looks like this:
stream = build_attrs_stream()
Repo.transaction(fn ->
stream
|> Stream.chunk_every(5000)
|> Task.async_stream(fn batch ->
{n, _} = Repo.insert_all(Assignment, batch)
n
end, ordered: false)
|> Enum.reduce(0, fn {:ok, n}, acc -> acc + n end)
end)
The above code works fine until I run the test, which gives me error:
(EXIT from #PID<0.544.0>) an exception was raised:
** (DBConnection.ConnectionError) connection not available and request was dropped from queue after 939ms. You can configure how long requests wait in the queue using :queue_target and :queue_interval. See DBConnection.start_link/2 for more information
I’m using Phoenix v1.4 and Ecto v3.1, database is Postgres.
Any help?
Trending in Questions
Hello!
Suppose you are building workflow (order / task / payment) processing system with the following requirements:
Each workflow con...
New
I’m in search of an Elixir library that offers PDF generation capabilities similar to Ruby’s Prawn. While there have been discussions abo...
New
Hey guys,
I’ve got a huge CSV ( around 10 GB ) that needs to be processed hourly
Do you guys have any suggestions what is the best prac...
New
Kia ora,
We have been using elixir-google-api to connect to Google Drive. However, with the updates to Tesla due to CVEs this is now bro...
New
Hello!
Could someone please give me a help/sample code, how to delete a file from s3 using waffle/waffle_ecto from Phoenix app.
I creat...
New
I’ve followed the Phoenix LiveView file upload code here Uploads — Phoenix LiveView v1.0.0-rc.7 and so far everything works just fine wit...
New
I have what I’ve heard referred to as a “lookup table” in my database. This is a way of assigning codes to common values. One common lo...
New
Other Trending Topics
Hey, I’m Jesse and I’m the main contributor behind Dexter, a full-featured, lightning-fast Elixir LSP optimized for large codebases. It s...
New
Hobbes is a low-level distributed database for the Elixir programming language.
Hobbes provides a simple, safe, and scalable storage lay...
New
Beam Bots (or just BB for short) is a framework for building fault-tolerant robotics applications in Elixir using familiar OTP patterns. ...
New
ExRatatui lets you cook up rich terminal UIs in Elixir, powered by Rust’s ratatui via Rustler NIFs. Build interactive terminal applicatio...
New
Corex is an accessible, unstyled UI component library for Phoenix that integrates Zag.js state machines using Vanilla JavaScript and Live...
New
Hello everyone. After busy few months I am happy to announce v0.1.0 of Emerge & Solve.
They are GUI (Emerge) and State management (S...
New
Categories:
Sub Categories:
Forums
Popular Tags
- #ecto
- #liveview
- #troubleshooting
- #learning-elixir
- #deployment
- #library
- #erlang
- #testing
- #genserver
- #mix
- #absinthe
- #remote-other
- #otp
- #plug
- #how-to-question
- #macros
- #postgres
- #channels
- #elixirconf
- #exunit
- #discussion
- #code-sync
- #javascript
- #podcasts
- #onsite
- #dialyzer
- #docker
- #authentication
- #umbrella
- #full-time-contract
- #podcasts-by-brainlid
- #ecto-query
- #elixir-ls
- #blog-post
- #ai
- #phoenix_html
- #iex
- #elixirconf-us
- #graphql
- #genstage
- #websockets
- #supervisor
- #advent-of-code
- #distillery
- #processes
- #api
- #forms
- #hex
- #security
- #metaprogramming










Showing Posts 1 to 7- Show Best Posts
- Show All (oldest first)
- Show All (newest first)
idi527
What exactly does using
Task.async_streamin a repo transaction achieve? I thinkRepo.transactionchecks out a single connecting and all messages are sent over a over it (i.e. “single thread”) anyway.That is, it’s not obvious to me what your approach has over
ug0
Well, I actually wrote code similar as yours in my first implementation(let’s call it the “single thread” version):
I learned the “parallel” version(code I paste in my original topic) from the book Programming Ecto, Chapter 17, Section “Fetching Large Datasets with Streams”. Here’s the example in the book:
I benchmarked these two versions by inserting large amount of data over 20 times. And the “parallel” version is nearly 40% faster and uses all of my CPU cores, while the “single thread” version uses only one CPU core at a time.
idi527
Ah, it wasn’t obvious from your first snippet that you also read from the database, in that case, yes, the concurrent version can be more efficient.
ug0
Yeah, the stream was build from Repo.stream. Guess I didn’t give enough details.
The code “stream = build_attrs_stream()” is doing something like:
benwilson512
Hey @ug0 this is because of how the ecto sandbox works during tests. Each test process is provided its own database connection. The
Task.async_streamcall spawns new processes, and ecto doesn’t know which connection to use. You can solve this by giving Ecto a little more information:The change here is the addition of
caller: parentas options to the Repo call.ug0
I add
caller: parentoption but it still gives me the same error.gmile
Sorry for necro-posting. This is how I solved the issue combining
Repo.streamandTask.async_streamwith in my case.Below is a self-contained script that will hang:
Make the following change:
This way a default value for Sandbox mode is used, which is
:auto. The script will now run to completion.I think it’s important to be mention, however, that the code inside
Task.async_streamwill not run inside the same transaction, and won’t be automatically rolled back at the end of the test. So any data inserted in the DB during the test will have to be cleaned up manually. But that’s OK in my case.