This page contains instructions for building the R client library.

R Package: The Build Only Uses a Single Thread

Problem: By default, R compiles packages using a single thread, which causes the build to be slow.

Solution: To parallelize the compilation, create or edit the ~/.R/Makevars file, and add a line like the following:

MAKEFLAGS = -j8 

The above will parallelize the compilation using 8 threads. On Linux/macOS, you can add the following to use all of the machine's threads:

MAKEFLAGS = -j$(nproc) 

However, note that, the more threads that are used, the higher the RAM consumption. If the system runs out of RAM while compiling, then the R session will crash.

Python Package: No module named 'duckdb.duckdb' Build Error

Problem: Building the Python package succeeds but the package cannot be imported:

cd tools/pythonpkg/ python3 -m pip install . python3 -c "import duckdb" 

This returns the following error message:

Traceback (most recent call last): File "<string>", line 1, in <module> File "/duckdb/tools/pythonpkg/duckdb/__init__.py", line 4, in <module> import duckdb.functional as functional File "/duckdb/tools/pythonpkg/duckdb/functional/__init__.py", line 1, in <module> from duckdb.duckdb.functional import ( ModuleNotFoundError: No module named 'duckdb.duckdb' 

Solution: The problem is caused by Python trying to import from the current working directory. To work around this, navigate to a different directory (e.g., cd ..) and try running Python import again.