I have a Mac running OS X 10.6.8, which comes pre-installed with SQLite3 v3.6. I installed v3.8 using homebrew. But when I type "sqlite3" in my terminal it continues to run the old pre-installed version. Any help?

slm's solution is actually incorrect (while usable). When using Homebrew you should not add /usr/local/Cellar/* into your $PATH; instead what you should do is you should add /usr/local/bin into your $PATH (which you have already done) and then symlink things in the Cellar into /usr/local/bin. Since it's designed this way, Homebrew can obviously do this pretty easily for you:


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As a side note/friendly reminder, you should never add /usr/local/bin to the system path, only your user path. This is in case programs expect the Apple-provided sqlite but find the Homebrew-provided version, causing problems.

The $PATH is a list of directories - separated by colons (:) - which the shell searches through one by one looking for what ever you just typed at the prompt. The order matters so if sqlite shows up in multiple locations the first directory where it's found is where it will get used from.

For compilers to find this software you may need to set:

LDFLAGS: -L/usr/local/opt/sqlite/lib

CPPFLAGS: -I/usr/local/opt/sqlite/include

For pkg-config to find this software you may need to set:

PKG_CONFIG_PATH: /usr/local/opt/sqlite/lib/pkgconfig

If you use Homebrew you can run brew install sqlite - this will install a modern version of SQLite, but it won't link it into your path (it's a "keg-only package" in Homebrew jargon) to avoid conflicting with the macOS default installation. Running brew info sqlite confirms this.

I've tried to do brew install urdfdom alone too, but that gives the same error. I've been removing the file they specify whenever I retry too, of course. I also tried brew update && brew upgrade brew-cask && brew cleanup && brew cask cleanup but that gives me Already up-to-date.Error: caskroom/cask/brew-cask not installed and when I do try to install brew-cask, it says that there's no available Cask for caskroom/cask/brew-cask.

Run brew bundle dump and Homebrew Bundle will generate a file called Brewfile listing all Ā of the installed brew packages, cask applications, and Mac App Store applications currently on the machine. If, on the other hand, you run brew bundle from a folder that contains a Brewfile, it will install everything listed in that file.

I think you know where this is going by now: run brew bundle dump on the current machine, copy the Brewfile generated to the new one, run brew bundle, and Homebrew will take it from there. If you have lots of apps and packages the process will take some time, but nowhere near the time (or effort) it would have taken to do manually.

Hi there folks, I would like to share with you a little utility that I built just a couple of days ago. Its main purpose is to convert a bunch of illumina fastq files into a single sqlite3 database without pain. I am new in bioinformatics and not really sure whether this way of reads processing make sense for biologists, but this code actually helped my friend to build custom processing pipeline on top of sqlite3 database. So any feedback would be appreciated, thank you)

Thank you Chris for your feedback, really appreciated. The main purpose of brew is to create backend for a custom filtering - processing, without any existing utilites. Brew yields data in easily accessible form, so you can write cleaner code to manipulate it. The closest analogy I can imagine is RAW format produced by hi-end cameras. This format contains signal from sensor as is in easy-to-manipulate form. About name collisions - you are right, I`ll fix it.

If you are using flat format - simple text file, you are extremely limited in processing capabilities - to find particular record you would need to lookup the whole file, sqlite uses b-trees and sophisticated caching techniques, so it is way faster.

It is just that you are solving a problem by first oversimplifying it - hence the many opinions and somewhat of a push-back. For example you say how sqlite is fast and has a query language - well it is fast when it operates on indexed columns, but you are not actually doing that. Your barcode lookup for example is slower than grepping through a file. You could of course add an index but then your single insert speeds would be terrifyingly slow. Now you'd need to solve it as a bulk insert problem. All doable and that would have value. What has less value is thinking that just by puttting some data into a database immediately solves a large suite of problems that people typically encounter.

Jonathan ,

Thanks you for your comment. SQLite3DSN is the data source name. I do have an sqlite database setup. Its name is at the end of the line: Database=C:Users\nasad\Documents\KiCad\DB_Files\EPC_Db.sqlite

I can view the database using the windows program, DB Browser. I made it from my Altium database.

Regards,

Nasa

Org-roam relies on an Emacs package called emacsql and emacsql-sqlite to work with the sqlite database. Both of them should be installed automatically in your Emacs environment as a prerequisite for Org-roam when you install it.

To me this looked like openssl was now pre-installed on the Bitrise VM, and installing openssl using brew install openssl was failing because of this. Note that the pre-installed version in the Cellar is 1.0.2h.

openssl is a dependency of python3. After 16 Dec, the duration of the installation of python3 increased from about 1 min to 13 min. Looking at the output from brew install python3, brew was not anymore finding openssl as a python3 dependency:

before 16 Dec:

==> Installing dependencies for python3: readline, sqlite, gdbm

after 16 Dec:

==> Installing dependencies for python3: readline, sqlite, gdbm, openssl

Thus, brew installed openssl again to resolve the python3 dependency, and this installation was taking about 13 min.

Why does the pre-installed version of openssl not satisfy the python3 dependency? Could it have anything to do with the version in the Cellar being 1.0.2h (as opposed to 1.0.2k, which is the version after installing with brew) ?

Things are a bit different with SQLite, as it is not an SQL server. It is a library that you embed in your program (either by compiling it alongside your code, or by relying on a shared library and language bindings). Python does the latter: its sqlite3 module is written in C using the CPython API, and includes the sqlite3.h header file. Where does this header file come from though?

This means that python relies on whatever libsqlite3 version is installed by the system package manager. We can double check this by having a look at the python3 package recursive dependencies: python3 -> libpython3-stdlib -> libpython3.11-stdlib -> libsqlite3-0.

Assuming you are installing your packages via brew on macOS, you'll find that it does things a bit differently than apt. The python3 formula depends on sqlite, which itself downloads an archive pinned to a given version (3.43.0 at the time of writing), and then compiles libsqlite3.dylib.

To pin the sqlite version across all environments and OSes, we can compile these shared/dynamically loaded libraries ourselves for all architectures we plan to support, vendor them in our codebase, and inject them into our application via LD_PRELOAD.

We then define a $(libsqlite) make target, either pointing to lib/libsqlite3.so if you run the app on linux, or lib/libsqlite3.0.dylib if you run it on macOS. We finally make sure to override the system shared library by the vendored one when running the app, via LD_PRELOAD on linux and DYLD_LIBRARY_PATH on macOS.

While the previous steps work, they also prove to be quite brittle, as they only works for a given CPU architecture. For example, the libsqlite3.0.dylib library will not load on an Intel Mac if it was compiled on a M1 or M2.

The most robust way to go remains building libsqlite3 in a build stage of the docker image process. This way, you know that you only need to build it for linux, whatever the host OS is, and you're guaranteed that it will be built for your CPU architecture, thanks to the multi-arch property of the python:3.11.4-slim base image.

have a look at documentation: Building darktable on macOS using homebrewĀ  Issue #10583Ā  darktable-org/darktableĀ  GitHub and maybe the content in Provide instructions and helper scripts to generate dmg of homebrew-based build for macOS by apfelkrautĀ  Pull Request #11579Ā  darktable-org/darktableĀ  GitHub

When I run brew info swift It shows message below. Obviously installed someplace else and runs fine from the Cellar. How do I fix this and also get Xcode to to recognize it as the command line tools in preferences.

Do you have more on this? I do have python installed through brew, but mostly always code in Xcode (or Xcode playgrounds), so I am quite curious and tempted to switch python off brew. Has this been raised already on that project by the way?

You can work around these limitations by installing either the pysqlite3 package or the sqlean.py package, both of which provide drop-in replacements for the standard library sqlite3 module but with a recent version of SQLite and full support for loading extensions.

pysqlite3 and sqlean.py do not provide implementations of the .iterdump() method. To use that method (see Dumping the database to SQL) or the sqlite-utils dump command you should also install the sqlite-dump package:

Before you start installing homebrew, if you have the bandwidth and patience, download and install Xcode 2.3beta. It contains some essential resources we need later. Other online sources say you should have enough by downloading the XCode command line tools, which also contains a compact version of the macosX SDK. (the full xcode 2.3 also contains it) and it has git and other command line goodies, but then you have to select/switch between the two using xcode-select. (xcode-select -install adds the command line tools, but Xcode 2.2 will add 2.2. command line tools, which is not what you want). I got stuck later on with just the command line tools 2.3beta downloaded from Apple's developer site, so I removed XCode 2.2/2.3beta commandline tools and installed the full XCode 2.3 beta. 006ab0faaa

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