davisusanibar commented on a change in pull request #138: URL: https://github.com/apache/arrow-cookbook/pull/138#discussion_r808996127
########## File path: java/source/dataset.rst ########## @@ -0,0 +1,232 @@ +.. _arrow-dataset: + +======= +Dataset +======= + +Current java project that use JNI are: + +* `Arrow Java Dataset <https://arrow.apache.org/docs/dev/java/dataset.html>`_: Java implementation of Arrow Dataset API/Framework. JniLoader [arrow_cdata_jni] +* `Arrow Java C Data Interface <https://arrow.apache.org/docs/format/CDataInterface.html>`_: Java implementation of C Data Interface. JniLoader [arrow_dataset_jni] + +.. contents:: + +Schema +====== + +Let read schema information for a parquet file using arrow dataset module + +Inspect Schema +************** + +.. 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}) + +Infer Schema +************ + +.. 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.scanner.ScanOptions; + import org.apache.arrow.dataset.scanner.Scanner; + import org.apache.arrow.dataset.source.Dataset; + 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); + ScanOptions options = new ScanOptions(1); + Dataset dataset = datasetFactory.finish(); + Scanner scanner = dataset.newScan(options); + Schema schema = scanner.schema(); + AutoCloseables.close(datasetFactory, dataset, scanner); + + 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}) + +Query Parquet File +================== + +Let query information for a parquet file usign arrow dataset module + +Query Data Size +*************** + +.. testcode:: + + import com.google.common.collect.Streams; + 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.scanner.ScanOptions; + import org.apache.arrow.dataset.scanner.Scanner; + import org.apache.arrow.dataset.source.Dataset; + import org.apache.arrow.dataset.source.DatasetFactory; + import org.apache.arrow.memory.RootAllocator; + import org.apache.arrow.util.AutoCloseables; + import org.apache.arrow.vector.ipc.message.ArrowRecordBatch; + + import java.util.List; + import java.util.stream.Collectors; + import java.util.stream.StreamSupport; + + 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); + ScanOptions options = new ScanOptions(/*batchSize*/ 1); + Dataset dataset = datasetFactory.finish(); + Scanner scanner = dataset.newScan(options); + List<ArrowRecordBatch> batches = StreamSupport.stream(scanner.scan().spliterator(), false).flatMap(t -> Streams.stream(t.execute())).collect(Collectors.toList()); + AutoCloseables.close(datasetFactory, dataset, scanner); + + System.out.println(batches.size()); // totaRows 3 / batchSize 1 = 3 + +.. testoutput:: + + 3 + +Query Data Content +****************** + +.. testcode:: + + import com.google.common.collect.Streams; + 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.scanner.ScanOptions; + import org.apache.arrow.dataset.scanner.Scanner; + import org.apache.arrow.dataset.source.Dataset; + import org.apache.arrow.dataset.source.DatasetFactory; + import org.apache.arrow.memory.RootAllocator; + import org.apache.arrow.util.AutoCloseables; + import org.apache.arrow.vector.FieldVector; + import org.apache.arrow.vector.VectorLoader; + import org.apache.arrow.vector.VectorSchemaRoot; + import org.apache.arrow.vector.ipc.message.ArrowRecordBatch; + import org.apache.arrow.vector.types.pojo.Schema; + + import java.util.List; + import java.util.stream.Collectors; + import java.util.stream.StreamSupport; + + 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); + ScanOptions options = new ScanOptions(1); + Dataset dataset = datasetFactory.finish(); + Scanner scanner = dataset.newScan(options); + Schema schema = scanner.schema(); + List<ArrowRecordBatch> batches = StreamSupport.stream(scanner.scan().spliterator(), false).flatMap(t -> Streams.stream(t.execute())).collect(Collectors.toList()); + int fieldCount = schema.getFields().size(); + try (VectorSchemaRoot vsr = VectorSchemaRoot.create(schema, rootAllocator)) { + VectorLoader loader = new VectorLoader(vsr); + for (ArrowRecordBatch batch : batches) { + loader.load(batch); + int batchRowCount = vsr.getRowCount(); + for (int i = 0; i < fieldCount; i++) { + FieldVector vector = vsr.getVector(i); + for (int j = 0; j < batchRowCount; j++) { + Object object = vector.getObject(j); + System.out.println(object); + } + } + } + } Review comment: Changed to print root data after loading -- This is an automated message from the Apache Git Service. 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