python-example

it's just for developers to note it has combination of shell and python, they are running it as a python file

I was able to reproduce your issue when I followed data_enrichment.py. I was able to make it work when I used WriteToBigQuery, because BigQuerySink is already deprecated since version 2.11.0. WriteToBigQuery has more parameters compared to BigQuerySink. Replace BigQuerySink to WriteToBigQuery and just add custom_gcs_temp_location in the parameters.

Sorted!! I just had to provide the mysql driver to Python. Adding to PyCharm or the any IDE is not a solution per se.

This is what I had to do:

I figure it out, just replace s.send(zpl.encode()) with s.send(zpl.encode(encoding='GB18030'))

If you're thinking of using ZeroMQ, you are entering into the world of Actor model programming. In actor model programming, sending a message happens independently of receiving that message (the two activities are asynchronous).

What ZeroMQ means by Blocking

When ZeroMQ talks about a send "blocking", what that means is that the internal buffer ZeroMQ uses to queue up messages prior to transmission is full, so it blocks the sending application until there is space available in this queue. The thing that empties the queue is the successful transfer of earlier messages to the receiver, which has a receive buffer, which has to be emptied by the recieve application. The thing that actually transfers the messages is the mamangement thread(s) that belong to the ZeroMQ contenxt.

This management thread is the cruicial part; it's running independently of your own application threads, and so it's making the communications between sender and receiver asynchronous.

What you likely want is to use ZeroMQ's reactor, zmq_poll(). Typically in actor model programming you have a loop, and at the top is a call to the reactor (zmq_poll() in this case). Zmq_poll() tells you when something has happened, but here you'd primarily be interested in it telling you that a message has arrived. Typically then you'd read that message, process it (which may involve sending out other ZeroMQ messages), and looping back to the zmq_poll().

Backend

So your backend would be something like:

I'm able to connecting to Azure Database for PostgreSQL server to Databricks via JDBC connection.

You may try the below steps:

Prerequisites:

Azure Database for PostgreSQL server => JDBC Connection String

jdbc:postgresql://{server_name}.postgres.database.azure.com:5432/{your_database}?user={Admin_username}&password={your_password}&sslmode=require

Step 1: Connection Information

OK, I have finally been given the example that I needed. For current context, the current example resides in a feature branch only on github (so caution in the future, as this link may be broken. You may need to search in master to find the example needed):

https://github.com/aws/aws-encryption-sdk-python/blob/keyring/examples/src/master_key_provider/multi/aws_kms_with_escrow.py

The guts of it can be described as follows (directly out of the above example):

You have to undefine DEBUG or _DEBUG, can't remember, around the python.h include in your code, since Python is linked with pragma directives. So it has nothing to do with cmake.

Something like this

The core of the solution is to self-join the article_tag table. I believe this is what you are looking for: