As I have been going through my courses – which use swirl() – I have been looking at how things work, comparing RStudio to RTVS. One of the things that was maddening for me was going through one of the courses in RTVS and having R files open in Notepad. Notepad?!? RStudio wasn’t doing this, so I was even more frustrated. I could also open R files with Visual Studio right from the file system, so the file association was already in place. This didn’t make sense. However… RTVS is an open source project, as is swirl(). So I spent tonight looking at code in GitHub.
Read on for the answer.
While very similar in terms of what can be done with the data itself within the two tools. The main differences between Kibana and Grafana lie in configuring how the data is displayed. Grafana has richer display features and more options for playing around with how the data is represented in the graphs.
While it takes some time getting accustomed to building graphs in Grafana — especially if you’re coming from Kibana — the data displayed in Grafana dashboards can be read and analyzed more easily.
I prefer Grafana over Kibana for a few reasons, so I’m happy to see Grafana articles popping up.
At first glance, it appears to be utterly useless. The only useful message seems to be “Login failed for user ‘myuser‘.” but what we really need to know is “why?”.
That information is somewhat buried in this section of the message:
Server Name: mysqlserverinstance
Error Number: 18456
Based on the documentation for this error, the severity and state actually mean something. I have copied and pasted the same from the link.
Read on to find out how to get the actual error.
The connecting thread between an Azure virtual machine and a virtual network is a Virtual Network Interface Card, or VNic for short. These are resources that are separate and distinct from the virtual machine and network itself, which can be assigned to a given virtual machine.
If you go to the “All Resources” screen and sort by the “Type” column, you will find a number of network interface resources.
There’s some good information in here.
Transparent Data Encryption (TDE)
If you use TDE to encrypt data at rest on the source database, DBCC CLONEDATABASE supports cloning of the source database but the cloned database is not encrypted by TDE. Thus, the backup of the cloned database will be unencrypted. If it is desired to encrypt and protect cloned database backup, you can enable TDE on cloned database before it is backed up as shown below
It’s a good read which covers several technologies.
So, you’d still need to determine if this is the right approach. But, the main point – partitioning really isn’t designed to give incredible gains to your queries. It’s meant to be better for data management and maintenance. However, some partitioning designs can lead to query performance benefits too.
This is a nice introduction and makes a good point: performance benefits to partitioning are incidental to the real benefit, which is simplicity of administration.
With SQL Server vNext CTP 1.4 now available and providing SQL Agent capability on Linux, I wrote here about using Ola Hallengrens scripts on Linux SQL Servers so can Test-DbaLastBackup work with Linux?
It’s a short post but good to know.
From this point we will work directly with SQL Server.In order to establish connection you have to run following script.The most important are 2nd and third lines:– In second line you have to provide your SQL Server Instance address, by replacing “<your_server_instance>” by something like “192.168.58.11” or “192.168.58.11\MSSQLSERVER,1433”– When second line runs it will ask you for SQL Server credentials !!! So, you have to enter SQL user name and it’s password.
Slava does note some limitations at present, but a lot of the functionality seems to be there.