!FULL! Download Blob Files
Yvone Wernett
The Blob object represents a blob, which is a file-like object of immutable, raw data; they can be read as text or binary data, or converted into a ReadableStream so its methods can be used for processing the data.
Blobs can represent data that isn't necessarily in a JavaScript-native format. The File interface is based on Blob, inheriting blob functionality and expanding it to support files on the user's system.
To construct a Blob from other non-blob objects and data, use the Blob() constructor. To create a blob that contains a subset of another blob's data, use the slice() method. To obtain a Blob object for a file on the user's file system, see the File documentation.
Although they can consist of either structured or unstructured data, BLOBs are mostly used in SQL (Standard Query Language) to store unstructured data files. Because BLOBs are used to store multimedia files, they are often large pieces of data, up to several gigabytes. Even though this kind of data is not easily read by databases or algorithms, they are still important pieces of data to store for your business.
Block BLOBs store binary data files, like documents or images. They were created to upload large amounts of data efficiently, and each block blob can include up to 50,000 blocks. Block BLOBs are managed and stored individually, each block in the BLOB can be a different size. They can store around 190 Tebibytes (2^40 bytes) of data.
Storing BLOBs can be tricky, as they are larger, more complex files. As they are unreadable by algorithm, BLOB storage should allow approved users to open and examine the files to maximize their utility.
Hello, we have an archive software which produces millions of files. We are planning
to source "old" files out of our main infrastructur to azure blob storage.
We`ve installed a server with rclone for uploading and accessing these files.
When we start the service to mount this - it takes up to 10 (fast-list) or 20 (without fast) minutes till we can access the data.
I think it is creating the filelist then - because we are seeing traffic 20 Mbits all the time.
When its done - we can access the files - but it is realy very slow - takes up to 60 seconds
till it opens a small textfile - while your opening only one file directly with the unc path the cpu load
rises to 100% - also the ram rises to 6-8 GB.
Is there any chance to get this working in a acceptable time with some parameters or do you think this is the wrong task for a rclone mount?
I`ve set the dir-cache-time to 24h because it wouldn be a problem - but even when the filelist is finished accessing these files takes too much time and produces 90/100% cpu for a single file access.
The process is rly only DMS -> upload to azure and later access these files from azure
with direct path and filename - no directory scan. These files also do net get changed anymore.
And the DMS is the only system writing into this container. So we do not need a sync or anything like this.
Is there some option where the directory list is stored localy and not in ram which has fast access times?
Or some other parameters we could try?
So we are using this server lets call him azureproxy only for this - this is a windows server with rclone and the mapped blob containers on it. In this container is a root folder - which we share to the network - under this rootfolder are the files.
We are trying to open these files then via network share with a direct unc path.
So from my client: notepad.exe \azureproxy\Data1\OneTextfile.txt
or the DMS system later - would also only open a file directly with path.
While doing this - the cpu rises as mentioned above - and it takes something like 60 seconds to open like 5kb txt file.
It its like the server is looking up the virtual file / folder list and takes so much ressources and time for it.
When i first mount the blob and access the folder directly on the server it takes 10 or more minutes before you can browse the folder in explorer.
commands directly on the azureproxy
So what i see - if i run this commands directly on the azureproxy (rclone) server
it executes it immediately - so there's no wait time and no cpu rise.
Files will open up like its a normal local file. Tried it with different files each time.
Its always the same behaviour - fast and wihout cpu rises. Also tried it via explorer
and notepad - its also fast.
when it's slow - then it is always the first command - which one ( dir / or open with notepad )
doesn't matter - always the first command - when the first command is finished the second operation is fast.
What i saw now - the next 4-5 commands are also fast - even with other files.
But after 5-8 different files - its slow again for this one file with 100% cpu.
Hi ncw, yes unfortunately there are so many files in there and we have more of these folders.
Acutally it`s 2/3 but we will have one of these each year. We even don't like this nor do we know why a software
company is doint something like this - but anyway - we have to deal with it.
Can I get you to repeat it 10 times over a period of minimum 30 minutes with new files each time, just to make absolutely sure this never happens when accessing the directory or files directly on the azureproxy.
It would be possible to artificially make them into subdirectories - say using the first 3 characters - and I've thought of doing this before in cases like this. It all depends on how the file names are structured as to whether this can be done efficiently. The azure blob API can list files with a common prefix only.
You are probably using CMD and it first tries to find an executable (exe,bat,ps1) named "notepad" in the current folder which makes WinFSP ask rclone for a complete list of all files in the folder (Readdir). The list is passed back one item at the time by rclone (in this fill loop). Next WinFSP (or Windows) will scan the entire list to see if there is any files matching "notepad.*". This will take a long time with 1 million files. @ncw please correct me, if mistaken
with DirectoryCacheLifetime 0 - rebootet my client and till now i can not see this issue again.
So it seems like this should solve this issue - did a test with over 40 files now in the last hour.
@cgamache At this time, the easiest way to get up and running with S3 blob stores is to start from scratch. There are a couple scripts floating around that basically do a download and upload to move the data. We are currently working on in-product features that will allow you to move components between blob stores and group file blob stores together with s3 blob stores for a single repository.
Is the vol-chap scheme the same in the S3 bucket such that one could aws s3 sync the /opt/sonatype-work/nexus3/blobs/blah up to S3 or from a bucket back down to a filesystem? That would be really fantastic if it were.
Could anyone please suggest me how to enable file upload from Power Apps portal to Azure blob storage. I referred the following document but I am not able to create a field for file upload in Power Apps Portal.
Hi, welcome to community.
You should use File button or File input to upload the file.
and there two component will parse files to base64, you read the component base64 value, and save it to retool database
here is docs
If you already have a Microsoft Azure account and use Azure blob storage containers for storing and managing your data files, you can make use of your existing containers and folder paths for bulk loading into Snowflake.
I have some files in Azure blob containers that I'd like to copy directly to an Azure disk when the disk is created. I did not think it was possible to copy files to a disk that is not attached to a VM, so I spun up an Azure VM and attached the disk. However, I can't figure out how I can use the Azure CLI to copy some files from a blob container to this disk (both are in the same storage account).
Azure blob storage is one of the popular services from Azure leveraged by customers, giving them the ability to store unstructured data at nearly limitless scale. It is an object storage service used by enterprises in a wide variety of use cases: backup, disaster recovery, long term data archival, logging and analytics, to name a few. Though these are some of the most popular use cases for Azure Blob, there is a less common use case for it: as a file system to be mounted on Linux machines, a handy tool to have in your Linux on Azure deployment.
Mounting Azure Blob as a drive enables its usage as a shared file system, giving multiple servers concurrent access. This is helpful for the type of files that need to be shared between different systems, such as common configuration and log files for web applications.
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