Readers of a certain age and RDBMS background will probably remember northwind, or HR, or OE databases - or quite possibly not just remember them but still be using them. Hardcoded sample data is fine, and it’s great for repeatable tutorials and examples - but it’s boring as heck if you want to build an example with something that isn’t using the same data set for the 100th time.
Here’s a collection of Kafka-related talks, just for you.
Each one has 🍿🎥 a recording, 📔 slides, and 👾 code to go and try out.
Kafka Connect is the integration API for Apache Kafka. Check out this video for an overview of what Kafka Connect enables you to do, and how to do it.
There’s ways, and then there’s ways, to count the number of records/events/messages in a Kafka topic. Most of them are potentially inaccurate, or inefficient, or both. Here’s one that falls into the potentially inefficient category, using kafkacat to read all the messages and pipe to wc which with the -l will tell you how many lines there are, and since each message is a line, how many messages you have in the Kafka topic:
$ kafkacat -b broker:29092 -t mytestopic -C -e -q| wc -l
3Google Chrome automagically adds sites that you visit which support searching to a list of custom search engines. For each one you can set a keyword which activates it, so based on the above list if I want to search Amazon I can just type a <tab> and then my search term
I had the pleasure of presenting at DataEngBytes recently, and am delighted to share with you the 🗒️ slides, 👾 code, and 🎥 recording of my ✨brand new talk✨:
A tiny snippet since I wasted 10 minutes going around the houses on this one…
tl;dr: If you try to create a command that is not in lower case (e.g. Alert not alert) then the setMyCommands API will return BOT_COMMAND_INVALID
The server sends Transfer-Encoding: chunked data, and you want to work with the data as you get it, instead of waiting for the server to finish, the EOF to fire, and then process the data?
