How do I change the location for a (single) filesystem in Ravendb? - ravendb

My task: to move the directory containing the databases and filesystems for a Ravendb-installation from one drive to another (because of disk-space issues) without moving or altering the Ravendb-installation itself.
I managed to move the databases by:
shutting down the Ravendb service
Moving the data-folder containing the subfolders Databasesand FileSystems
Opening Raven.Server.exe.config and changing the value for the settings Raven/DataDirand Raven/FileSystem/DataDir
Starting the Ravendb service again
Tricky part: going to some (not all) databases using Raven Studio and choosing Settings > Database Settings and changing the value here (again) for Raven/DataDir. So apparently, somehow, for some of my databases, this value was overridden in some metadata for the db itself rather than using the tilde to look relatively to the global setting (although the actual db or db definition or something was being loaded correctly, since I could even see this setting/value)
So far so good. But here the problem:
Apparently, too, for some filesystems (again not all), Ravendb seemed to think, their "data-data" was still in the old location (again, the actual filesystem metadata seemed to be loaded from the new location). But alas, filesystem do not have something similar to Database Settings in Raven Studio where I could change this data-dir, probably overridden here too.
The way I know the filesystems' data is assumed to still be in the old location, is that I can see new folders being created in the old location with the name of the respective filesystems.
I tried going to the system db (Main Window > Manage Your Server > To System Database), but the file-systems do not appear here.
So my question is: how can I change or set the Raven/FileSystem/DataDir setting for a single filesystem?

Eureka, I found this out:
The error was indeed, that for some reason, my filesystems do not appear in the system db when viewed in Raven Studio. I realized this, because the status-bar in the system db said 40 documents, but fewer were visible in the list. This must definitely be a bug in Raven Studio.
The solution: In system db, put my mouse cursor in the quick-goto-/search-field in the top ("Go to document") and typed Raven/FileSystems/ and from here on, the autocomplete would show me the available filesystems. Choosing the correct filesystem, I was now able to edit the (indeed overridden) path to the filesystem, which was set to an absolute path.
Note, that in general you should definitely use a path relative to the Raven/DataDir and Raven/FileSystem/DataDir settings, like e.g. ~\filesystems\my-db to more easily be able to move all dbs and fs'es around collectively.

Related

Change default destination folder for the Copy Database Wizard

Is there any possibility to change the default destination folder for the Copy Database Wizard in SQL Server Management Studio 17?
Changing the database default location via the database properties does not work.
This are the default paths configured for the database server:
If you single-click in the area of the dialog where it has the destination paths (highlighted in yellow), it magically turns into an inplace editor where you can enter your custom paths. Of course, it leaves some questions. Why did they hide it in an easter egg? Why don't they just read the configuration file containing the paths you specified in the first place?
My guess is that Microsoft decided to take punitive measures on users who explicitly changed the paths of the database files. Since it makes their coding more difficult to open a configuration file and parse it, they felt it would only be fair to make it equally hard for you to get any benefit from changing paths.

SQL (or any relational db) engine with SCM-friendly backing store [duplicate]

I'm doing a web app, and I need to make a branch for some major changes, the thing is, these changes require changes to the database schema, so I'd like to put the entire database under git as well.
How do I do that? is there a specific folder that I can keep under a git repository? How do I know which one? How can I be sure that I'm putting the right folder?
I need to be sure, because these changes are not backward compatible; I can't afford to screw up.
The database in my case is PostgreSQL
Edit:
Someone suggested taking backups and putting the backup file under version control instead of the database. To be honest, I find that really hard to swallow.
There has to be a better way.
Update:
OK, so there' no better way, but I'm still not quite convinced, so I will change the question a bit:
I'd like to put the entire database under version control, what database engine can I use so that I can put the actual database under version control instead of its dump?
Would sqlite be git-friendly?
Since this is only the development environment, I can choose whatever database I want.
Edit2:
What I really want is not to track my development history, but to be able to switch from my "new radical changes" branch to the "current stable branch" and be able for instance to fix some bugs/issues, etc, with the current stable branch. Such that when I switch branches, the database auto-magically becomes compatible with the branch I'm currently on.
I don't really care much about the actual data.
Take a database dump, and version control that instead. This way it is a flat text file.
Personally I suggest that you keep both a data dump, and a schema dump. This way using diff it becomes fairly easy to see what changed in the schema from revision to revision.
If you are making big changes, you should have a secondary database that you make the new schema changes to and not touch the old one since as you said you are making a branch.
I'm starting to think of a really simple solution, don't know why I didn't think of it before!!
Duplicate the database, (both the schema and the data).
In the branch for the new-major-changes, simply change the project configuration to use the new duplicate database.
This way I can switch branches without worrying about database schema changes.
EDIT:
By duplicate, I mean create another database with a different name (like my_db_2); not doing a dump or anything like that.
Use something like LiquiBase this lets you keep revision control of your Liquibase files. you can tag changes for production only, and have lb keep your DB up to date for either production or development, (or whatever scheme you want).
Irmin (branching + time travel)
Flur.ee (immutable + time travel + graph query)
XTDB (formerly called 'CruxDB') (time travel + query)
TerminusDB (immutable + branching + time travel + Graph Query!)
DoltDB (branching + time-travel + SQL query)
Quadrable (branching + remote state verification)
EdgeDB (no real time travel, but migrations derived by the compiler after schema changes)
Migra (diffing for Postgres schemas/data. Auto-generate migration scripts, auto-sync db state)
ImmuDB (immutable + time-travel)
I've come across this question, as I've got a similar problem, where something approximating a DB based Directory structure, stores 'files', and I need git to manage it. It's distributed, across a cloud, using replication, hence it's access point will be via MySQL.
The gist of the above answers, seem to similarly suggest an alternative solution to the problem asked, which kind of misses the point, of using Git to manage something in a Database, so I'll attempt to answer that question.
Git is a system, which in essence stores a database of deltas (differences), which can be reassembled, in order, to reproduce a context. The normal usage of git assumes that context is a filesystem, and those deltas are diff's in that file system, but really all git is, is a hierarchical database of deltas (hierarchical, because in most cases each delta is a commit with at least 1 parents, arranged in a tree).
As long as you can generate a delta, in theory, git can store it. The problem is normally git expects the context, on which it's generating delta's to be a file system, and similarly, when you checkout a point in the git hierarchy, it expects to generate a filesystem.
If you want to manage change, in a database, you have 2 discrete problems, and I would address them separately (if I were you). The first is schema, the second is data (although in your question, you state data isn't something you're concerned about). A problem I had in the past, was a Dev and Prod database, where Dev could take incremental changes to the schema, and those changes had to be documented in CVS, and propogated to live, along with additions to one of several 'static' tables. We did that by having a 3rd database, called Cruise, which contained only the static data. At any point the schema from Dev and Cruise could be compared, and we had a script to take the diff of those 2 files and produce an SQL file containing ALTER statements, to apply it. Similarly any new data, could be distilled to an SQL file containing INSERT commands. As long as fields and tables are only added, and never deleted, the process could automate generating the SQL statements to apply the delta.
The mechanism by which git generates deltas is diff and the mechanism by which it combines 1 or more deltas with a file, is called merge. If you can come up with a method for diffing and merging from a different context, git should work, but as has been discussed you may prefer a tool that does that for you. My first thought towards solving that is this https://git-scm.com/book/en/v2/Customizing-Git-Git-Configuration#External-Merge-and-Diff-Tools which details how to replace git's internal diff and merge tool. I'll update this answer, as I come up with a better solution to the problem, but in my case I expect to only have to manage data changes, in-so-far-as a DB based filestore may change, so my solution may not be exactly what you need.
There is a great project called Migrations under Doctrine that built just for this purpose.
Its still in alpha state and built for php.
http://docs.doctrine-project.org/projects/doctrine-migrations/en/latest/index.html
Take a look at RedGate SQL Source Control.
http://www.red-gate.com/products/sql-development/sql-source-control/
This tool is a SQL Server Management Studio snap-in which will allow you to place your database under Source Control with Git.
It's a bit pricey at $495 per user, but there is a 28 day free trial available.
NOTE
I am not affiliated with RedGate in any way whatsoever.
I've released a tool for sqlite that does what you're asking for. It uses a custom diff driver leveraging the sqlite projects tool 'sqldiff', UUIDs as primary keys, and leaves off the sqlite rowid. It is still in alpha so feedback is appreciated.
Postgres and mysql are trickier, as the binary data is kept in multiple files and may not even be valid if you were able to snapshot it.
https://github.com/cannadayr/git-sqlite
I want to make something similar, add my database changes to my version control system.
I am going to follow the ideas in this post from Vladimir Khorikov "Database versioning best practices". In summary i will
store both its schema and the reference data in a source control system.
for every modification we will create a separate SQL script with the changes
In case it helps!
You can't do it without atomicity, and you can't get atomicity without either using pg_dump or a snapshotting filesystem.
My postgres instance is on zfs, which I snapshot occasionally. It's approximately instant and consistent.
I think X-Istence is on the right track, but there are a few more improvements you can make to this strategy. First, use:
$pg_dump --schema ...
to dump the tables, sequences, etc and place this file under version control. You'll use this to separate the compatibility changes between your branches.
Next, perform a data dump for the set of tables that contain configuration required for your application to operate (should probably skip user data, etc), like form defaults and other data non-user modifiable data. You can do this selectively by using:
$pg_dump --table=.. <or> --exclude-table=..
This is a good idea because the repo can get really clunky when your database gets to 100Mb+ when doing a full data dump. A better idea is to back up a more minimal set of data that you require to test your app. If your default data is very large though, this may still cause problems though.
If you absolutely need to place full backups in the repo, consider doing it in a branch outside of your source tree. An external backup system with some reference to the matching svn rev is likely best for this though.
Also, I suggest using text format dumps over binary for revision purposes (for the schema at least) since these are easier to diff. You can always compress these to save space prior to checking in.
Finally, have a look at the postgres backup documentation if you haven't already. The way you're commenting on backing up 'the database' rather than a dump makes me wonder if you're thinking of file system based backups (see section 23.2 for caveats).
What you want, in spirit, is perhaps something like Post Facto, which stores versions of a database in a database. Check this presentation.
The project apparently never really went anywhere, so it probably won't help you immediately, but it's an interesting concept. I fear that doing this properly would be very difficult, because even version 1 would have to get all the details right in order to have people trust their work to it.
This question is pretty much answered but I would like to complement X-Istence's and Dana the Sane's answer with a small suggestion.
If you need revision control with some degree of granularity, say daily, you could couple the text dump of both the tables and the schema with a tool like rdiff-backup which does incremental backups. The advantage is that instead of storing snapshots of daily backups, you simply store the differences from the previous day.
With this you have both the advantage of revision control and you don't waste too much space.
In any case, using git directly on big flat files which change very frequently is not a good solution. If your database becomes too big, git will start to have some problems managing the files.
Here is what i am trying to do in my projects:
separate data and schema and default data.
The database configuration is stored in configuration file that is not under version control (.gitignore)
The database defaults (for setting up new Projects) is a simple SQL file under version control.
For the database schema create a database schema dump under the version control.
The most common way is to have update scripts that contains SQL Statements, (ALTER Table.. or UPDATE). You also need to have a place in your database where you save the current version of you schema)
Take a look at other big open source database projects (piwik,or your favorite cms system), they all use updatescripts (1.sql,2.sql,3.sh,4.php.5.sql)
But this a very time intensive job, you have to create, and test the updatescripts and you need to run a common updatescript that compares the version and run all necessary update scripts.
So theoretically (and thats what i am looking for) you could
dumped the the database schema after each change (manually, conjob, git hooks (maybe before commit))
(and only in some very special cases create updatescripts)
After that in your common updatescript (run the normal updatescripts, for the special cases) and then compare the schemas (the dump and current database) and then automatically generate the nessesary ALTER Statements. There some tools that can do this already, but haven't found yet a good one.
What I do in my personal projects is, I store my whole database to dropbox and then point MAMP, WAMP workflow to use it right from there.. That way database is always up-to-date where ever I need to do some developing. But that's just for dev! Live sites is using own server for that off course! :)
Storing each level of database changes under git versioning control is like pushing your entire database with each commit and restoring your entire database with each pull.
If your database is so prone to crucial changes and you cannot afford to loose them, you can just update your pre_commit and post_merge hooks.
I did the same with one of my projects and you can find the directions here.
That's how I do it:
Since your have free choise about DB type use a filebased DB like e.g. firebird.
Create a template DB which has the schema that fits your actual branch and store it in your repository.
When executing your application programmatically create a copy of your template DB, store it somewhere else and just work with that copy.
This way you can put your DB schema under version control without the data. And if you change your schema you just have to change the template DB
We used to run a social website, on a standard LAMP configuration. We had a Live server, Test server, and Development server, as well as the local developers machines. All were managed using GIT.
On each machine, we had the PHP files, but also the MySQL service, and a folder with Images that users would upload. The Live server grew to have some 100K (!) recurrent users, the dump was about 2GB (!), the Image folder was some 50GB (!). By the time that I left, our server was reaching the limit of its CPU, Ram, and most of all, the concurrent net connection limits (We even compiled our own version of network card driver to max out the server 'lol'). We could not (nor should you assume with your website) put 2GB of data and 50GB of images in GIT.
To manage all this under GIT easily, we would ignore the binary folders (the folders containing the Images) by inserting these folder paths into .gitignore. We also had a folder called SQL outside the Apache documentroot path. In that SQL folder, we would put our SQL files from the developers in incremental numberings (001.florianm.sql, 001.johns.sql, 002.florianm.sql, etc). These SQL files were managed by GIT as well. The first sql file would indeed contain a large set of DB schema. We don't add user-data in GIT (eg the records of the users table, or the comments table), but data like configs or topology or other site specific data, was maintained in the sql files (and hence by GIT). Mostly its the developers (who know the code best) that determine what and what is not maintained by GIT with regards to SQL schema and data.
When it got to a release, the administrator logs in onto the dev server, merges the live branch with all developers and needed branches on the dev machine to an update branch, and pushed it to the test server. On the test server, he checks if the updating process for the Live server is still valid, and in quick succession, points all traffic in Apache to a placeholder site, creates a DB dump, points the working directory from 'live' to 'update', executes all new sql files into mysql, and repoints the traffic back to the correct site. When all stakeholders agreed after reviewing the test server, the Administrator did the same thing from Test server to Live server. Afterwards, he merges the live branch on the production server, to the master branch accross all servers, and rebased all live branches. The developers were responsible themselves to rebase their branches, but they generally know what they are doing.
If there were problems on the test server, eg. the merges had too many conflicts, then the code was reverted (pointing the working branch back to 'live') and the sql files were never executed. The moment that the sql files were executed, this was considered as a non-reversible action at the time. If the SQL files were not working properly, then the DB was restored using the Dump (and the developers told off, for providing ill-tested SQL files).
Today, we maintain both a sql-up and sql-down folder, with equivalent filenames, where the developers have to test that both the upgrading sql files, can be equally downgraded. This could ultimately be executed with a bash script, but its a good idea if human eyes kept monitoring the upgrade process.
It's not great, but its manageable. Hope this gives an insight into a real-life, practical, relatively high-availability site. Be it a bit outdated, but still followed.
Update Aug 26, 2019:
Netlify CMS is doing it with GitHub, an example implementation can be found here with all information on how they implemented it netlify-cms-backend-github
I say don't. Data can change at any given time. Instead you should only commit data models in your code, schema and table definitions (create database and create table statements) and sample data for unit tests. This is kinda the way that Laravel does it, committing database migrations and seeds.
I would recommend neXtep (Link removed - Domain was taken over by a NSFW-Website) for version controlling the database it has got a good set of documentation and forums that explains how to install and the errors encountered. I have tested it for postgreSQL 9.1 and 9.3, i was able to get it working for 9.1 but for 9.3 it doesn't seems to work.
Use a tool like iBatis Migrations (manual, short tutorial video) which allows you to version control the changes you make to a database throughout the lifecycle of a project, rather than the database itself.
This allows you to selectively apply individual changes to different environments, keep a changelog of which changes are in which environments, create scripts to apply changes A through N, rollback changes, etc.
I'd like to put the entire database under version control, what
database engine can I use so that I can put the actual database under
version control instead of its dump?
This is not database engine dependent. By Microsoft SQL Server there are lots of version controlling programs. I don't think that problem can be solved with git, you have to use a pgsql specific schema version control system. I don't know whether such a thing exists or not...
Use a version-controlled database, of which there are now several.
https://www.dolthub.com/blog/2021-09-17-database-version-control/
These products don't apply version control on top of another type of database -- they are their own database engines that support version control operations. So you need to migrate to them or start building on them in the first place.
I write one of them, DoltDB, which combines the interfaces of MySQL and Git. Check it out here:
https://github.com/dolthub/dolt
I wish it were simpler. Checking in the schema as a text file is a good start to capture the structure of the DB. For the content, however, I have not found a cleaner, better method for git than CSV files. One per table. The DB can then be edited on multiple branches and merges extremely well.

How to tell Windows Explorer not to request file details and thumbnails in certain folder?

Is there a way (via shell extension or registry setting) to tell Windows Explorer that it shouldn't read files in the folder being shown in order to extract metadata or create thumbnails?
The problem is that when the user navigates to the folder, Windows Explorer attempts to read all files in the folder and extract certain metadata from them. If the medium is slow, this takes ages and causes unnecessary load on the file system. This is especially true in case of thumbnails, when the whole graphic file is read.
I am looking for ways to do this (restrict Explorer) in code, so "don't use Thumbnail mode" is not an acceptable answer :).
Upd: per-user settings won't work unfortunately cause we as a disk provider can deal only with our own disk (and the user might want to have separate settings for regular disks and virtual disks). I believe there must be some way to "explain" the OS that the drive is slow.
Maybe there's some IRP on driver level that we need to handle to tell the OS that the medium is slow?
Is there a way (via shell extension or
registry setting) to tell Windows
Explorer that it shouldn't read files
in the folder being shown in order to
extract metadata or create thumbnails?
Not that I know off, but depending on the priorities regarding the use case details you outlined there might be two options still to approximate the desired result:
Via group policy
Note that this essential expands/details the network folder related aspect of Freds answer, which you dismissed in your update; however, you claim to be able to deploy shell extensions or registry settings and the following two group policies simply execute the latter by administrative means:
User Configuration -> Administrative Templates -> Windows Components -> Windows Explorer:
Turn off the display of thumbnails and only display icons **on network folders**
Turns off the caching of thumbnails in hidden thumbs.db files.
This boils down to the following registry settings:
Windows Registry Editor Version 5.00
[HKEY_CURRENT_USER\Software\Policies\Microsoft\Windows\Explorer]
"DisableThumbnailsOnNetworkFolders"=dword:00000001
"DisableThumbsDBOnNetworkFolders"=dword:00000001
Of course this is still not per folder, but at least limited to network folders and ignores regular disks and virtual disks.
Via hackish workaround
Given your statement we as disk provider can deal only with our own disk there might be a hackish workaround, though I'm afraid it lacks the last mile (untested by myself).
Starting from Chris W. Reas own answer to How can I suppress those annoying Thumbs.db files in Windows Vista and Windows 7?:
Also worth knowing: In Vista and Windows 7, Thumbs.db applies to network folders only. For local folders, Vista and Windows 7 instead save thumbnail cache information to a database in a local folder at "%userprofile%\AppData\Local\Microsoft\Windows\Explorer"
Continuing from there, Wil claims the following potentially clever solution to work on a per folder basis:
Go to the drive and create a file called thumbs.db (in notepad or anything), then change the permissions on the file for everyone (including SYSTEM) to deny all.
Unfortunately, aside from the automation requirements to create the dummy thumbs.db in each folder, the outcome depends on how Explorer will react on the inaccessible file - because caching is optional as per group policy, it might as well display thumbnails without caching them, making the bandwidth issue even worse in turn ...
Good luck!
I'm not sure if you can disable thumbnail generation/display for certain folders but this article talks about a script which could quickly disable it via context menu.
The script modifies a value in the registry key HKCU\Software\Microsoft\Windows\CurrentVersion\Explorer\Advanced\. I suppose you could find something similar in that key for the other metadata. ShowInfoTip sounds promising. There might be relevant information in other nearby keys.
This may be a complete non-answer depending on your needs, but how about storing the files without file extensions that the OS wants to make thumbnails of? Call it file.jpg.abc and it won't be reading thumbnails, for sure.

change Access Permissions in Component Services > COM Security with script/api?

is there an api to change the Access Permissions for the COM Security? i need to write new values to "Edit Limits..." and "Edit Default...". are these plain registry settings? can't find how to set these entries.
The quick answer is Yes they are registry settings, the long answer is No they are not simple registry settings. The values are binary and point to an ACL structure. In order to change these you need to load, update, and save the ACL (which requires a fair amount of code). The DCOMPerm sample in the windows SDK is a decent place to start, i have used it as a basis for a set of classes i use at work to handle this problem (Unfortunately, i am not able to release that code into the public domain)
You can review the MSDN Documentation for the DCOM key structure - that covers computer wide settings. COM application specific settings are stored under its APPID in the registry in the AccessPermission and LaunchPermission values.
Keep in mind that modifying the ACLs for the machine wide settings can quickly render your machine unusable if you do it incorrectly. If i remember correctly, you can simply delete the values (via RegEdit) and the OS will restore defaults to bring your machine back... but i'm not 100% certain on that anymore.
EDIT: The binary data is actually a Security Descriptor, but ultimately its the contained ACL that needs to dealt with - the SD just adds one more layer of code when unpacking/packing it.

How to store configuration data so that to not copy it during database copy?

There are parameters that I would not want to be transferred from production environment to QA system. Staff like network path and url's. The problem is that in ABAP everything is in the database and when the database is copied to the QA system you have to manually change those parameters. And this is prone to errors.
Is there a way to store configuration information in a way that won't get transferred with the database?
Thanks.
In short: no - at least that would be very unusual in a SAP environment.
If your QA system is set up as a system copy of your production environment (which is the usual path), there are quite a few steps to do to make the system work correctly. This includes some configuration, which can be as simple as filepaths such as you mention, but also the addresses and names of "partner systems". For example, one of my customers is a bank, so when copying his production system, he makes triply sure that no activity on the QA side accidentally trickles to the production side. Some other changes are made as well, for example obscuring peoples names and addresses so no mail gets accidentally sent etc.
There are a few ways to make applying these changes as easy as possible (look for some SAP documentation or books on SAP Transport and Change management, I had one by Sue McFarland Metzger or so that was quite good). From what I've seen, there is usually a set of transports that change the configuration and customizing etc. on the QA system to the
appropriate values.
Hope that helps.
You cannot prevent the configuration stored in the database from being copied to the cloned instance. However, you can design the configuration storage in a way that will prevent the copied entries from being used. You should check with your basis administrators if they can guarantee that the cloned system will get a new system ID (SID). If this is the case, then you can simply use the SID as key field in your configuration table. After the system copy, the SID will be changed and the cloned system will no longer access the original entries.
your question is not clear, are you talking about standard or custom config ?
Greetings, assuming you are storing these paths in a Z table, then some shops put the sy-sysid ( system id ) as one of the columns. Maintain all systems in your dev and transport to production. This becomes painful after a while, so I would only suggest this for information that does not change a lot ( file paths might be good ).
T.