In the past, I used to modify /etc/sysconfig/named and add entries to the NAMED_CONF_INCLUDE_FILES setting, then run /usr/share/bind/createNamedConfInclude
to generate /etc/named.conf.include.
As of OpenSuSE 15.4, /usr/share/bind/createNamedConfInclude has become an empty file and NAMED_CONF_INCLUDE_FILES got removed and NAMED_INITIALIZE_SCRIPTS introduced.
So now I changed my playbooks to manually generate /etc/named.conf.include and include it form /etc/sysconfig/named.
Since I hardly perform these new installations, it took a few years for me to find out about this change. Upgrading existing systems somehow kept the generated file and included it.
Related links with quotes as it was hard to find out what changed and how to work around and I wasn’t the only one bump into issues:
Doet officieel geen LED en spaarlamp, maar schijnt meestal wel te werken. Hopelijk is dit een opstap voor schakelmateriaal wat altijd met LED en spaarlamp werkt.
Het grote voordeel van deze schakelaars plus bijbehorende functie-kapjes is dat ze tegelijk op IR+tijd en handmatig kunnen werken. Dus vanzelf aan/uit met IR+tijd, maar ook handmatig aan/uit zetten of combinaties.
The reason for searching was that I contemplated about buying a large iPad to use as combination of dual-screen and note reading during music performance/practice.
Lot’s of references by [Wayback/Archive] Parsia to great posts by [Wayback/Archive] Raymond Chen mainly on security issues that are not: there is only a vulnerability when you get from the other side of the outside of the airtight hatchway to the inside, not when you are already inside.
Arthur: But can’t you think of something?!
Ford: I did.
Arthur: You did!
Ford: Unfortunately, it rather involved being on the other side of this airtight hatchway—
Arthur: oh.
Ford: —that’s just sealed behind us.
I figured out how to run a SQL query directly against a CSV file using the sqlite3 command-line utility:
sqlite3 :memory: -cmd '.mode csv' -cmd '.import taxi.csv taxi' \
'SELECT passenger_count, COUNT(*), AVG(total_amount) FROM taxi GROUP BY passenger_count'
This uses the special :memory: filename to open an in-memory database. Then it uses two -cmd options to turn on CSV mode and import the taxi.csv file into a table called taxi. Then it runs the SQL query.
Instead of setting the mode with .mode you can use .import -csv like this (thanks, [Wayback/Archive] Mark Lawrence):
sqlite3 :memory: -cmd '.import -csv taxi.csv taxi' \
'SELECT passenger_count, COUNT(*), AVG(total_amount) FROM taxi GROUP BY passenger_count'
I will try to remake an AliExpress PCB. It is a very handy voltage converter that can take a varying battery voltage and convert it into 3.3V or 5V while only requiring very little current (25uA) on the input. Sounds awesome, but the board is way too huge. That is why I try to push the size limits in this video to the minimum.
A while ago, I needed to investigate reboot events on some Windows 10 systems. I wanted to use the console instead of the eventvwr GUI Event Viewer.
There is a tool for that called wevtutil which – like eventvwr – uses XPath query parameters and produces XML output.
Postprocessing XML can be a thing, but since .NET has great XML support, you can use PowerShell for that (which for me often is way easier than going the XSLT route, for instance because Windows lacks built-in console XSLT tooling).
Based on the help and the below links, my query command then on these machines turned out to be this: Read the rest of this entry »
Waar velen al over waarschuwden gebeurt ook in het Nederlandstalige gebied: AI-gegenereerde web-pagina’s komen hoog in de zoekresultaten en vervuilen daarmee Large Language Models van nieuwe AI-tools.
Ze zijn echt heel makkelijk te ontkrachten, ondanks dat de tekst er heel mooi en netjes uitziet: de inhoud klopt gewoon, en juist dat de tekst er zo mooi en netjes uitziet maakte het voor mij verdacht.
Recently, I ran into a situation where I needed a test database with lots of rows and needed it fast. So I did what any programmer would do: wrote a Python script to generate the DB. Unfortunately, it was slow. Really slow. So I did what any programmer would do: went down the rabbit hole of learning more about SQLite, Python, and eventually Rust… in my quest to get a 1B row database under a minute. This blog post is a summary of this fun and educational exercise.
The Wiert Corner - irregular stream of stuff 