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IFC files can be quite large (10Mb++). ZIP of IFC is reducing the file’s size 10x+. Such reduction in size improves dramatically performance of upload / download operations from / to BIM360 / A360 projects. BIM360 Docs allows to upload ZIP of related files. However, when I manually trying to upload ZIP of a single IFC file (also tried with single DWG in ZIP), the upload process fails with “Extract failed” message. Is extract of single files from ZIP compressed archive supported by BIM360 Docs?
Tried with a DWF compressed as a .ZIP. It DOESN'T work for files on BIM 360 Docs (uploaded via API and translated via POST job), but it does work for Buckets (2-legged).
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I am building a game using Unity and I want to track how well an individual does over a period of time. So I want to save their time, level, high score, etc. I am writing the scores to either a .txt file or .json file at the end of the game. The game will be deployed to Android OS (maybe IOs). I want the file to be sent off before the game returns to the home menu.
I wanted to know what is the better option for collecting the game data. Amazon RDS or S3 Bucket?
If it's a Text File use S3, it is great.
If you have JSON values, Use DynamoDb.
AWS Dynamodb
If your JSON object is less than 4KB, DynamoDB is significantly faster than S3 for individual operations.Refer to this Link.
But yes, No RDS if you have only JSON. NoSQL is great. [Dynamodb]
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I would like to edit (add a column to) a CSV file stored in S3. I managed to do this by downloading the file, editing it with bash command and re-uploading it to S3.
But is there a better way to do this?
Is there a better way to do this ?
No. S3 is an object storage solution, not a file system. To modify objects, you download them, modify locally and re-upload.
Having said that, you can use third party tools, such as s3fs-fuse which can provide "file-like" interface for you to S3, but the underlying S3 object modification does not change.
If you do it often, you can modify S3 object from EC2 instances instead of downloading them to your local workstation outside of AWS.
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I was discussing with friends about the best way to store files in amazon.
I believed that an s3 bucket was the best way to save static files as images from a website.
But friends said that it is not the best way to work with s3 because of the high cost of having this image requested many times.
I need to know the best place to save images that will be rendered inside my site (which is inside an EC2 instance).
Could someone clarify this doubt? Saving images inside the S3 in sites that have many requests is expensive?
For storing static files like images AWS S3 is one of the best option.
S3 is one of the cheapest cloud storage, you won't be charged for the number of times it's read, only amount of outbound traffic will bbe charged. For get requuest/put request there is also a charge, but you shouldn't need it as per my understanding, you can clarify your use case more precisely. You can also calculate the price here.
Find all the storage services AWS offers here: https://aws.amazon.com/products/storage/
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.tgz compressed file uploaded to GCS.
Can I file decompress from the GCS?
No, not in general.
You could upload it as a .tar file with http content-encoding gzip (stored on metadata as well), and then the compression can be removed on the fly, depending on the client request. Though note that this has implications for range requests, among other things (full documentation here). Either way, GCS can't unpack the tar archive.
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I want to create an application that needs to store xml and jpg files. Do you know any service on the internet that allows me to store files(jpg most important) and retrieve the files from the service when I need them?
I'm looking for something like flickr but with the option of manipulating files trough webservices.
You could maybe use Amazon S3: http://aws.amazon.com/s3/
You can use their API to manipulate your files from different environments:
Ruby on rails: http://aws.amazon.com/articles/8621639827664165
.Net http://aws.amazon.com/articles/3051
Etc.