lwhite1 commented on code in PR #14382:
URL: https://github.com/apache/arrow/pull/14382#discussion_r993530932
##########
docs/source/java/dataset.rst:
##########
@@ -228,3 +249,50 @@ native objects after using. For example:
AutoCloseables.close(factory, dataset, scanner);
If user forgets to close them then native object leakage might be caused.
+
+Development Guidelines
+======================
+
+* Related to the note about ScanOptions batchSize argument: Let's try to read
a Parquet file with gzip compression and 3 row groups:
+
+ .. code-block::
+
+ # Let configure ScanOptions as:
+ ScanOptions options = new ScanOptions(/*batchSize*/ 32768);
+
+ $ parquet-tools meta data4_3rg_gzip.parquet
+ file schema: schema
+ age: OPTIONAL INT64 R:0 D:1
+ name: OPTIONAL BINARY L:STRING R:0 D:1
+ row group 1: RC:4 TS:182 OFFSET:4
+ row group 2: RC:4 TS:190 OFFSET:420
+ row group 3: RC:3 TS:179 OFFSET:838
+
+ In this case, we are configuring ScanOptions batchSize argument equals to
+ 32768 rows, it's greater than 04 rows used on the file, then 04 rows is
+ used on the program execution instead of 32768 rows requested.
+
+* Arrow Java Dataset offer native functionalities consuming native artifacts
such as:
Review Comment:
I don't understand what this section is telling me. It's a pretty big
context switch to go from configuring scan options to building jars. Maybe
additional description would be helpful
##########
docs/source/java/dataset.rst:
##########
@@ -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:
The variable `options` doesn't seem to be declared or initialized anywhere
##########
docs/source/java/dataset.rst:
##########
@@ -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:
I see you discuss options below. Maybe add a comment here to that effect if
you're not going to initialize it.
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