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Vincent Nijs commented on ARROW-17374: -------------------------------------- I haven't tried that tbh. The docker file below is for x86_64. However, it will use binaries by default. [https://github.com/radiant-rstats/docker/blob/master/rsm-jupyter-rs/Dockerfile] Could be tested for x86_64 with a tweak to the script below to install from source. [https://github.com/radiant-rstats/docker/blob/master/files/setup-radiant.sh] I'm on an M1 so building that would take a 1+ day. > [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 > Attachments: build-images.out > > > 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. -- This message was sent by Atlassian Jira (v8.20.10#820010)