backups | Scripts written to perform various backup-related tasks | Continuous Backup library

No, there is no tool to query the .sql file as if it's a database. You have to restore that dump file, then you can query its data.

A comment above suggests to count the INSERT statements in the dump files, but that isn't reliable, because by default mysqldump outputs multiple rows per INSERT statement (the --extended-insert option, which is enabled by default). The number of rows per INSERT varies, depending on the length of data.

I once had to solve a problem exactly like yours. A bug in my app caused some rows to vanish, but we didn't know exactly when, because we didn't notice the discrepancy until some days after it happened. We wanted to know exactly when it happened so we could correlate it to other logs and find out what caused the bug. I had daily backups, but no good way to compare them.

Here's how I solved it:

I had to restore every daily backup to a temporary MySQL instance in my development environment. Then I wrote a Perl script to dump all the integer primary key values from the affected table, so each id value corresponded to a pixel in a GIF image. If a primary key value was found in the table, I drew a white pixel in the image. If the primary key value was missing, I drew a black pixel in the position for that integer value.

The image filenames are named for the date of the backup they represent. I repeated the process for each day's backup, writing to a new image.

Then I used an image preview app to scroll through my collection of images slowly using the scroll wheel of my mouse. As expected, each image had a few more pixels than the image before, representing records were added to the database each day. Then at some point, the data loss event happened, and the next image had a row of black pixels where the previous day had white pixels. I could therefore identify which day the data loss occurred on.

After I identified the last backup that contained the data before it was dropped, I exported the rows that I needed to restore to the production system.

We're looking to accomplish something similar with Proxmox and Wasabi. After some digging this afternoon, the most mature way of doing this would be to use Veeam with Agent Backup. Veeam does not officially support the Proxmox kernel, explained by staff here, and it doesn't seem like they have any intention of doing so. This means you cannot back up the VM/CTs from the hypervisor level (reliably). But, it seems that you can leverage the Agent Backup instead, and use the VBS (Veeam Backup Server) to push incremental backups to Wasabi. I use Veeam and Wasabi together with some clientele on ESXi for a 3-2-1 backup scheme with Agent Backups, works great. This is the approach we're going to take with Proxmox as well. Although it's more expensive than some cheap workaround, this backup method scales very well considering you can use VEM to manage other VBSs.

EDIT: Here's a few links to Veeam resources to check out:

• Veeam Agent Backup (Linux version, but they make a Windows and Mac agent too.)
• General VBR Resource Page

It's usually better to disable backups only for debug builds:

I'm not sure what you're using to code, but in order to set it in Android Studio, open the manifest of your project and under the "activity" section, put android:exported="true"(or false if that is what you prefer). I have attached an example.

Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.

Major changes in the release include:

• Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
• Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
• Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.

The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.

So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor

The new working code looks like this:

Step 1

You need to have already created a Google Firebase Project, and enable Google Drive API from Google Developer Console. Note that you need to select the same project in Google Developer Console as you have created in Google Firebase.

Step 2

you need to log in with google to get googleSignInAccount and use dependencies

1. Launch System Preferences
2. Select Time Machine
3. Click Options...
4. Add ~/Library/Developer to exclusion list
5. Click Save

This helped me out: https://blog.testdouble.com/posts/2021-01-28-how-to-completely-uninstall-homebrew-postgres/

is exists any way to increase "Maximum blob size via single write operation (via Put Blob)" limit for BLOB storage?

The limits can not be change because its designed.

Based on the Microsoft document :

Azure Storage standard accounts support higher capacity limits and higher limits for ingress and egress by request. To request an increase in account limits, contact Azure Support.

As you said , here is the table describes the maximum block and blob sizes permitted by service version.

For more information please refer this Azure Blog: Run high scale workloads on Blob storage with new 200 TB object sizes