Error 1045 (28000): Access Denied For User 'Proot'@'Localhost' (Using : Yes) Fixes Code Is Not
Error 1045 (28000): Access Denied For User 'Proot'@'Localhost' (Using : Yes) Fixes How To Pull Data

Error 1045 (28000): Access Denied For User 'Proot'@'Localhost' (Using : Yes) Fixes Code Is Not

The whole method is marked as Async (spring) so that it doesnt block execution it gets invoked and finishes when ready (using an internal Spring executor service with a limited thread pool) The database batch reading code is not shown here, as it varies depending on the database.

So much so that they decided to program their Raspberry Pi to update an e-paper HAT with the subreddits top posts from the last hour.

Raspberry Pi 4 Scrape JSON Data w Python And Display It On e-Paper reddit rshowerthoughts 2 for PCB prototype (any color): Your support helps me post videos more frequently: BTC: 1ZpLvgETofMuzCaKoq5XJZKSwe5UNkwLM Find me on: Parts supplies: In another video we setup a Raspberry Pi to control an e-Papere-Ink HAT and running demo code.

For their build, they used a three-colour e-paper display, but you can use any e-paper add-on for Raspberry Pi to recreate the project.

They also used Raspberry Pi 4, but again, this project will work with other models even Raspberry Pi Zero W.

ACROBOTIC created an image to frame the Shower Thoughts posts, which they uploaded to their Raspberry Pi as a.bmp file.

They altered prewritten code for using the e-paper display to display this frame image and the various posts.

Adding.json to the URL of the appropriate Shower Thoughts page allows access to the posts in JSON format.

Error 1045 (28000): Access Denied For User 'Proot'@'Localhost' (Using : Yes) Fixes How To Pull Data

ACROBOTIC goes into far more detail in their video, and its a great resource if youre looking to try out working with JSON files or to learn how to pull data from Reddit.

Find more projects using e-paper displays for you to recreate in our handy guide.

The post Pulling shower thoughts from Reddit for a Raspberry Pi e-paper display appeared first on Raspberry Pi.

Maybe its export all data to JSON, or the GDPR Right to portability, where you effectively need to do the same.

And as with any big dataset, you cant just fit it all in memory and write it to a file.

It takes a while, it reads a lot of entries from the database and you need to be careful not to make such exports overload the entire system, or run out of memory.

Luckily, its fairly straightforward to do that, with a the help Jacksons SequenceWriter and optionally of piped streams.

Heres how it would look like: private ObjectMapper jsonMapper new ObjectMapper().

It is initialized with an OutputStream, to which everything is written.

This could be a simple FileOutputStream, or a piped stream as discussed below.

Note that the naming here is a bit misleading writeValues(out) sounds like you are instructing the writer to write something now; instead it configures it to use the particular stream later.

The SequenceWriter is initialized with true, which means wrap in array.

You are writing many identical records, so they should represent an array in the final JSON.

Uses PipedOutputStream and PipedInputStream to link the SequenceWriter to a an InputStream which is then passed to a storage service.

If we were explicitly working with files, there would be no need for that simply passing a FileOutputStream would do.

However, you may want to store the file differently, e.g.

Amazon S3, and there the putObject call requires an InputStream from which to read data and store it in S3.

So, in effect, you are writing to an OutputStream which is directly written to an InputStream, which, when attampted to be read from, gets everything written to another OutputStream Storing the file is invoked in a separate thread, so that writing to the file does not block the current thread, whose purpose is to read from the database.

Again, this would not be needed if simple FileOutputStream was used.

Error 1045 (28000): Access Denied For User 'Proot'@'Localhost' (Using Password: Yes) Fixes Mac Os