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https://issues.apache.org/jira/browse/ARROW-17374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17578526#comment-17578526
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Shane Brennan commented on ARROW-17374:
---------------------------------------
Thanks Kouhei and Neal for responding.
The conda install fails both for the release and the nightly build. Seems like
the Python 3.10 on the system doesn't play too well with the conda install
package. The conda error is.
{code:java}
(R) sh-4.2$ conda install -c conda-forge --strict-channel-priority r-arrow
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible
solve.
Solving environment: failed with repodata from current_repodata.json, will
retry with next repodata source.
ResolvePackageNotFound:
- python=3.1{code}
However, I mostly was trying to install arrow within R using this setup
{code:java}
Sys.setenv(NOT_CRAN = TRUE)
Sys.setenv("ARROW_PARQUET" = "ON")
Sys.setenv("ARROW_S3" = "ON")
Sys.setenv("ARROW_WITH_SNAPPY" = "ON")
Sys.setenv("ARROW_R_DEV" = TRUE)
install.packages("arrow", repos =
"https://arrow-r-nightly.s3.amazonaws.com";){code}
> [R] R Arrow install fails with SNAPPY_LIB-NOTFOUND
> --------------------------------------------------
>
> Key: ARROW-17374
> URL: https://issues.apache.org/jira/browse/ARROW-17374
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 8.0.0, 9.0.0, 8.0.1
> Environment: Amazon Linux 2 (RHEL) - 5.10.102-99.473.amzn2.x86_64
> Reporter: Shane Brennan
> Priority: Blocker
>
> I've been trying to install Arrow on an R notebook within AWS SageMaker.
> SageMaker provides Jupyter-like notebooks, with each instance running Amazon
> Linux 2 as its OS, itself based on RHEL.
> Trying to install a few ways, e.g., using the standard binaries, using the
> nightly builds, setting ARROW_WITH_SNAPPY to ON and LIBARROW_MINIMAL all
> still result in the following error.
> {noformat}
> x86_64-conda-linux-gnu-c++ -std=gnu++11 -shared
> -L/home/ec2-user/anaconda3/envs/R/lib/R/lib -Wl,-O2 -Wl,--sort-common
> -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,--disable-new-dtags
> -Wl,--gc-sections -Wl,--allow-shlib-undefined
> -Wl,-rpath,/home/ec2-user/anaconda3/envs/R/lib
> -Wl,-rpath-link,/home/ec2-user/anaconda3/envs/R/lib
> -L/home/ec2-user/anaconda3/envs/R/lib -o arrow.so RTasks.o altrep.o array.o
> array_to_vector.o arraydata.o arrowExports.o bridge.o buffer.o chunkedarray.o
> compression.o compute-exec.o compute.o config.o csv.o dataset.o datatype.o
> expression.o extension-impl.o feather.o field.o filesystem.o imports.o io.o
> json.o memorypool.o message.o parquet.o r_to_arrow.o recordbatch.o
> recordbatchreader.o recordbatchwriter.o safe-call-into-r-impl.o scalar.o
> schema.o symbols.o table.o threadpool.o type_infer.o
> -L/tmp/Rtmpuh87oc/R.INSTALL67114493a3de/arrow/libarrow/arrow-9.0.0.20220809/lib
> -larrow_dataset -lparquet -larrow -larrow_bundled_dependencies -lz
> SNAPPY_LIB-NOTFOUND /home/ec2-user/anaconda3/envs/R/lib/libbz2.so -pthread
> -larrow -larrow_bundled_dependencies -larrow_dataset -lparquet -lssl -lcrypto
> -lcurl -lssl -lcrypto -lcurl -L/home/ec2-user/anaconda3/envs/R/lib/R/lib -lR
> x86_64-conda-linux-gnu-c++: error: SNAPPY_LIB-NOTFOUND: No such file or
> directory
> make: *** [/home/ec2-user/anaconda3/envs/R/lib/R/share/make/shlib.mk:10:
> arrow.so] Error 1{noformat}
> Snappy is installed on the systems, and both shared object (.so) and cmake
> files are there, where I've tried setting the system env variables Snappy_DIR
> and Snappy_LIB to point at them, but to no avail.
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