tmq | Rust ZeroMQ bindings for Tokio | Reactive Programming library
kandi X-RAY | tmq Summary
kandi X-RAY | tmq Summary
This crate bridges Tokio and ZeroMQ to allow for ZeroMQ in the async world.
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tmq Key Features
tmq Examples and Code Snippets
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Trending Discussions on tmq
QUESTION
I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.
Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.
...ANSWER
Answered 2021-Jan-31 at 19:18Ok, here is one way to obtain what you want in about 2min. Some tickers are bad, that's why it crashes.
Here's the code. I use joblib for threading or multiprocess since it doesn't work in my env. But, that's the spirit.
QUESTION
I am trying to order values that are going to be inserted into another table based on their order value from a secondary table. We are migrating old data to a new table with a slightly different structure.
I thought I would be able to accomplish this by using the string_split
function but I'm not very skilled with SQL
and so I am running into some issues.
Here is what I have:
...ANSWER
Answered 2020-Apr-11 at 17:46I simplified the issue in the question to the following approach, that is a possible solution to your problem. If you want to get the results from the question, you need a splitter, that returns the substrings and the positions of the substrings. STRING_SPLIT()
is available from SQL Server 2016, but is not an option here, because (as is mentioned in the documentation) the output rows might be in any order and the order is not guaranteed to match the order of the substrings in the input string.
But you may try to use a JSON based approach, with a small string manipulation, that transforms answers IDs into a valid JSON array (218,215,220
into [218,215,220]
). After that you can easily parse this JSON array with OPENJSON()
and default schema. The result is a table, with columns key
, value
and type
and the key
column (again from the documentation) holds the index of the element in the specified array.
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