I am uploading to Amazon S3 (not using multi-part upload) and am having issues when trying to upload a file that is larger that ~1GB. The issue is that the object is empty in the s3 bucket, there is no error.
The documentation states that this should support up to 5GBs.
Typically it takes me (with my connection) ~1 minute to upload a 50mb file and for a 1gb file it takes several minutes. When I tried a 2-4gb file it would quickly "succeed" in uploading after a couple seconds but of course empty in the s3 bucket path. Does anyone know why I am seeing this behavior?
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am facing a problem while uploading one or more files i.e images/videos to AWS s3 bucket by using aws_s3_client plugin.
It's taking much time to upload a 10MB file
Not able to track the upload progress percentage
Not having option to upload multiple file at once (if same bucket)
Every time while uploading we have to verify the IM-User access. (since why cant we use single instance at once to verify and keep connection persistent/keep alive until application getting closed)
Hence, am not familiar with AWS services. So, suggest to me a best way to upload a file or multiple files to AWS s3 bucket with faster, with upload progress percentage, multiple file upload at once and persistent connection /Keep Alive verification.
For 1 and 2, use managed uploads, it provides an event to track upload progress and makes uploads faster by using multipart upload. Beware that multipart uploads only work for files having sizes from 5 MB to 5 TB.
For 3, AWS S3 does not allow uploading files having same names or keys in the same bucket. Depending on your requirement, you can turn on versioning in your bucket and that will save different versions of the same file.
For 4, you can generate and use pre-signed URLs. Pre-signed URLs have configurable timeouts that you can adjust depending on how long you want the link to be available for an upload.
Use multi part upload.multi part upload will upload files quickly to S3.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html
I want my users to be able to download many files from AWS S3 bucket(potentially over few hundred GBs sized when accumulated) as one large ZIP file. I would download those selected files from S3 first and upload a newly created ZIP file on S3. This job will be rarely invoked during our service, so I decided to use Lambda for it.
But Lambda has its own limitations - 15 min of execution time, ~500MB /tmp storage, etc. I found several workaround solutions on Google that can beat the storage limit(streaming) but found no way to solve execution time limit.
Here are what I've found so far:
https://dev.to/lineup-ninja/zip-files-on-s3-with-aws-lambda-and-node-1nm1
Create a zip file on S3 from files on S3 using Lambda Node
Note that programming language is not a concern here.
Could you please give me a suggestion?
I have 500MB worth of data to push to cloud search.
Here are the options I have tried:
Upload directly from console:
Tried to uplaod the file, there is a 5 MB limitation.
Then uploaded the file to S3 and selected the S3 option,
Upload to S3 and give S3 url in the console:
Fails and asks to try command line.
Tried with command line
aws cloudsearchdomain upload-documents --endpoint-url http://endpoint
--content-type application/json --documents s3://bucket/cs.json
Error parsing parameter '--documents': Blob values must be a path to a file.
OK, copied the file from s3 to local and tried to upload,
Tried with local file and cli:
aws cloudsearchdomain upload-documents --endpoint-url http://endpoint
--content-type application/json --documents ./cs.json
Connection was closed before we received a valid response from endpoint URL: "http://endpoint/2013-01-01/documents/batch?format=sdk".
Anyway to get CloudSearch to work?
As I understand the question, this is not about the scalability of Cloudsearch as per the Question Header, but it is about the limitations of uploading, and how to upload a large file into Amazon Cloudsearch.
The best and optimal solution would be to upload data by chunking it. Break your document into batches and upload data in batches. (But keep in mind the limitations associated)
The advantage of this is, if you have multiple documents to submit, submit them all in a single call rather than always submitting batches of size 1. AWS recommends to group (up to 5 mb) and send in one call. Each 1,000 batch calls cost you $0.10, I think, so grouping also saves you some money.
This worked for me. Given below are a few guidelines to help tackle the problem better.
Guidelines to follow when uploading data into Amazon Cloudsearch.
Group documents into batches before you upload them. Continuously uploading batches that consist of only one document has a huge, negative impact on the speed at which Amazon CloudSearch can process your updates. Instead, create batches that are as close to the limit as possible and upload them less frequently. (The limits are explained below)
To upload data to your domain, it must be formatted as a valid JSON or XML batch
Now, let me explain the limitations associated with Amazon Cloud search related to file uploads.
1) Batch Size:
The maximum batch size is 5 MB
2) Document size
The maximum document size is 1 MB
3) Document fields
Documents can have no more than 200 fields
4) Data loading volume
You can load one document batch every 10 seconds (approximately 10,000
batches every 24 hours), with each batch size up to 5 MB.
But if you wish to increase the limits, you can Contact Amazon CloudSearch. At the moment, Amazon does not allow to increase upload size limitations.
You can submit a request if you need to increase the maximum number of
partitions for a search domain. For information about increasing other
limits such as the maximum number of search domains, contact Amazon
CloudSearch.
I am uploading 1.8 GB of data that has 500000 of small XML files into the S3 bucket.
When I upload it from my local machine, it takes a very very long time 7 hours.
And when I zipped it and uploaded it takes 5 minutes of time.
But my issue is I can not zip it simply because later on I need to have something in AWS to unzip it.
So is there any way to make this upload faster? Files name are different not running number.
Transfer Acceleration is enabled.
Please suggest me how I can optimize this?
You can always upload the zip file to an EC2 instance then unzip it there and sync it to the S3 bucket.
The Instance Role must have permissions to put Objects into S3 for this to work.
I also suggest you look into configuring an S3 VPC Gateway Endpoint before doing this: https://docs.aws.amazon.com/vpc/latest/userguide/vpc-endpoints.html
Is there any way to upload 50000 image files to Amazon S3 Bucket. The 50000 image file URLs are saved in a .txt file. Can someone please tell me a better way to do this.
It sounds like your requirement is: For each image URL listed in a text file, copy the images to an Amazon S3 bucket.
There is no in-built capability with Amazon S3 to do this. Instead, you would need to write an app that:
Reads the text file and, for each URL
Downloads the image
Uploads the image to Amazon S3
Doing this on an Amazon EC2 instance would be the fastest, due to low latency between S3 and EC2.
You could also get fancy and do it via Amazon EMR. It would be the fastest due to parallel processing, but would require knowledge of how to use Hadoop.
If you have a local copy of the images, you could order an AWS Snowball and use it to transfer the files to Amazon S3. However, it would probably be faster just to copy the files over the Internet (rough guess... at 1MB per file, total volume is 50GB).