I am switching to PostgreSQL from SQLite for a typical Rails application. The problem is that running specs became slow with PG. On SQLite it took ~34 seconds, on PG it's ~76 seconds which is more than 2x slower. So now I want to apply some techniques to bring the performance of the specs on par with SQLite with no code modifications (ideally just by setting the connection options, which is probab
I'm learning GraphQL now and while walking through tutorial I met behavior that I can't understand. Let's say we have defined type in schema: type Link { id: ID! url: String! description: String! postedBy: User votes: [Vote!]! } Due to docs votes: [Vote!]! means that that field should be a non-nullable and array itself should be non-nullable too. But just after that author of tutorial shows exampl
On our app we are using "One account per email address". We want users to sign up using a specific authentication provider, which we keep track of, and stick with it. What I've noticed today is that if I log in using a Google or Facebook provider I can then send myself a password reset link to the associated email address, which allows me to use the email/password provider instead. There is a slig
What am I doing wrong? None of the example Markdown links work so far in my Slack app. I pasted in the example below in a chat in my Slack app. I got this example from slack markdown syntax and it still treats it as literal text in the Slack App: [like this](http://someurl) so I end up seeing that instead of just "like this" as a link in Slack chat. Or maybe the above is wrong, in which case my qu
Every time I try npm install. I get the following error. How do I fix it? gyp: No Xcode or CLT version detected! I am on node -v → v8.8.0 & npm -v → v6.11.3 I tried to run it on VSCode terminal and iTerm, but both ended up getting the same error. (both are updated to the latest version). The only new thing I did is updating my macOS to the latest version (Catalina 10.15.3 today). $ npm install Fri
I tried several csv-formats (different escape characters, quotes and other settings) to export data from MySQL and to import it into BigQuery, but I was not able to find a solution that works in every case. Google SQL requires the following Code for importing/exporting from/to MySQL. Although, Cloud SQL is not BigQuery, it is a good starting point: SELECT * INTO OUTFILE 'filename.csv' CHARACTER SE
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