[GitHub] [arrow] davisusanibar commented on issue #12376: Error loading native libraries: java.io.FileNotFoundException: libarrow_dataset_jni.dylib

[GitBox <gi...@apache.org>]

davisusanibar commented on issue #12376:
URL: https://github.com/apache/arrow/issues/12376#issuecomment-1035366519


   Hi @soma-cepel could you help us to share the error log message to we could review that.
   
   For our testing I see this error but when configure arrow-dataset:7.0.0-SNAPSHOT:
   Caused by: java.lang.IllegalStateException: error loading native libraries: java.io.FileNotFoundException: libarrow_dataset_jni.dylib
   
   For arrow-dataset:7.0.0 I did not see errors. The jar contains *.dylib and *.so
   
   ```
   (base) ➜  otool otool -L libarrow_dataset_jni.dylib
   libarrow_dataset_jni.dylib:
   	@rpath/libarrow_dataset_jni.700.dylib (compatibility version 700.0.0, current version 700.0.0)
   	/usr/lib/libz.1.dylib (compatibility version 1.0.0, current version 1.2.11)
   	/usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 1200.3.0)
   	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1311.0.0)
   ```
   
   Testing:
   
   ```
   .. testcode::
   
       import org.apache.arrow.dataset.file.FileFormat;
       import org.apache.arrow.dataset.file.FileSystemDatasetFactory;
       import org.apache.arrow.dataset.jni.NativeMemoryPool;
       import org.apache.arrow.dataset.source.DatasetFactory;
       import org.apache.arrow.memory.RootAllocator;
       import org.apache.arrow.vector.types.pojo.Schema;
       import org.apache.arrow.util.AutoCloseables;
   
       String uri = "file:" + System.getProperty("user.dir") + "/thirdpartydeps/parquetfiles/data1.parquet";
       RootAllocator rootAllocator = new RootAllocator(Long.MAX_VALUE);
       DatasetFactory datasetFactory = new FileSystemDatasetFactory(rootAllocator, NativeMemoryPool.getDefault(), FileFormat.PARQUET, uri);
       Schema schema = datasetFactory.inspect();
       AutoCloseables.close(datasetFactory);
   
       System.out.println(schema);
   
   .. testoutput::
   
       Schema<id: Int(32, true), name: Utf8>(metadata: {parquet.avro.schema={"type":"record","name":"User","namespace":"org.apache.arrow.dataset","fields":[{"name":"id","type":["int","null"]},{"name":"name","type":["string","null"]}]}, writer.model.name=avro})
   ```
   


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