davisusanibar commented on code in PR #14382:
URL: https://github.com/apache/arrow/pull/14382#discussion_r993556131
##########
docs/source/java/dataset.rst:
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@@ -32,31 +32,49 @@ is not designed only for querying files but can be extended
to serve all
possible data sources such as from inter-process communication or from other
network locations, etc.
+.. contents::
+
Getting Started
===============
+Currently supported file formats are:
+
+- Apache Arrow (`.arrow`)
+- Apache ORC (`.orc`)
+- Apache Parquet (`.parquet`)
+- Comma-Separated Values (`.csv`)
+
Below shows a simplest example of using Dataset to query a Parquet file in
Java:
.. code-block:: Java
// read data from file /opt/example.parquet
String uri = "file:/opt/example.parquet";
- BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE);
- DatasetFactory factory = new FileSystemDatasetFactory(allocator,
- NativeMemoryPool.getDefault(), FileFormat.PARQUET, uri);
- Dataset dataset = factory.finish();
- Scanner scanner = dataset.newScan(new ScanOptions(100)));
- List<ArrowRecordBatch> batches = StreamSupport.stream(
- scanner.scan().spliterator(), false)
- .flatMap(t -> stream(t.execute()))
- .collect(Collectors.toList());
-
- // do something with read record batches, for example:
- analyzeArrowData(batches);
-
- // finished the analysis of the data, close all resources:
- AutoCloseables.close(batches);
- AutoCloseables.close(factory, dataset, scanner);
+ try (
+ BufferAllocator allocator = new RootAllocator();
+ DatasetFactory datasetFactory = new FileSystemDatasetFactory(
+ allocator, NativeMemoryPool.getDefault(),
+ FileFormat.PARQUET, uri);
+ Dataset dataset = datasetFactory.finish();
+ Scanner scanner = dataset.newScan(options);
Review Comment:
Thanks to catch that, I just added that `options` part
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