I am getting the following error while trying to upload a dataset to Hub (dataset format for AI) S3SetError: Connection was closed before we received a valid response from endpoint URL: "<...>".
So, I tried to delete the dataset and it is throwing this error below.
CorruptedMetaError: 'boxes/tensor_meta.json' and 'boxes/chunks_index/unsharded' have a record of different numbers of samples. Got 0 and 6103 respectively.
Using Hub version: v2.3.1
Seems like when you were uploading the dataset the runtime got interrupted which led to the corruption of the data you were trying to upload. Using force=True while deleting should allow you to delete it.
For more information feel free to check out the Hub API basics docs for details on how to delete datasets in Hub.
If you stop uploading a Hub dataset midway through your dataset will be only partially uploaded to Hub. So, you will need to restart the upload. If you would like to re-create the dataset, you can use the overwrite = True flag in hub.empty(overwrite = True). If you are making updates to an existing dataset, you should use version control to checkpoint the states that are in good shape.
Related
So currently I am doing a synchronous call to mulesoft which returns raw image(no encoding is done) and then storing the image in a document.So when ever we are getting bigger images more than 6 MB it is hitting the governerlimit for max size.So wanted to know is there a way to get a reduced or compressed image
I have no idea if Mule has anything to preprocess images, compress...
In apex you could try to make the operation asynchronous to benefit from 22 mb limit. But there wil be no UI element for it anymore, your component / user would have to periodically check if the file got saved or something.
you could always change the direction. Make Mule push to salesforce over standard API instead of apex code pulling from Mule. From what I remember standard files API is good for up to 2GB.
Maybe send some notification to mule that you want file XYZ attached to account 123, mule would insert contentversion, contentdocumentlink? And have apex periodically check.
And when file is not needed - nightly job to delete files created by "Mr mule" over a week ago?
I am working around to figure out that Fabric v0.6 is really not allowed data modification illegally. Beside I want to modify data in "sst" format directly. I want to use some other such as create instance of database then retrieve all data -> Modified them -> put them back and star the peer normally. but when I try to create instance of Rocksdb, I got this error
Rocksdb Error Column Family Not opened...
Based on this tutorial: http://pyrocksdb.readthedocs.io/en/v0.4/tutorial/index.html
If it's a new database then it's fine. while it come to database of blockchain, I got this few error.
What design is used to store file objects that gets loaded from a website. For instance if I have a website that accepts documents or images. So
Use Case 1.
Users logs in and selects a MS word file on his machine and uploads to the website.
Use Case 2.
User logs in and selects a image on his machine and uploads to the website.
How do I store these file objects in the database
The first step is just getting the file from the AngularJS application to the server. This page talks about sending request to the server from the client and should get you started.
Once you have done that, (assuming you are using PHP) you will need to save the resulting file to the database. This post will get you started with saving files to PostgreSQL, but the details will end up being very specific to your situation:
If you have more questions after reading through those resources please add specific details about your setup to your question.
I have the below requirement
A large text file around 10Mb to 25Mb (With 50,000 to 100,000 lines of data) is uploaded into the web application. I have to validate the file line by line and write the output to another location and then display a message to the user.
The App Server is WebLogic and its is accessed through Web Server through Apache Bridge. Apache Bridge times out pretty quickly during the upload + processing activity. Is there any way to solve this issue without changing the timeout of the Apache Bridge
What is best possible solution ? Below are my current thoughts.
Soln 1 Upload the file and return back to the page. Then trigger a Ajax to run the validation in a separate thread and check its status through further Ajax requests.
Soln 2. Use sc_partial_content(206) http Code to keep the connection alive.
I'm working on a side project right now for an email client. I'm using a library to handle the retrieval of the messages from the server. However, I have a question on caching.
I don't want to fetch the entire list of headers everytime I load the client. Ideally, what I'd like to do is cache them and then update the list with what is on the server.
What's the best way to go about this? Should I store all the header information (including the server's message ID #) in a database, load the headers from that DB. Then as a background task sync up with the server...
Or is there a better way?
Look at the webmail sample of this open source project that use local caching:
http://mailsystem.codeplex.com/
If I remember well, he used a combination of local RFC822 plain text email storing with the message id as the filename and an index file with high level data.
Maybe the message itself where zipped to save disc space.
That's just a sample for the library, so don't expect code art there, but that's a start.