davisusanibar commented on code in PR #258:
URL: https://github.com/apache/arrow-cookbook/pull/258#discussion_r995106822
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java/source/dataset.rst:
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@@ -213,6 +231,87 @@ Query Data Content For File
2 Gladis
3 Juan
+Lets try to read a parquet gzip compressed file with 06 row groups:
+
+.. code-block::
+
+ $ 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 20
rows, it's greater than
+04 rows used on the file, then 04 rows is used on the program execution
instead of 20 rows requested.
Review Comment:
Deleted
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java/source/dataset.rst:
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@@ -25,6 +25,24 @@ Dataset
.. contents::
+Arrow Java Dataset offer native functionalities consuming native artifacts
such as:
Review Comment:
Deleted
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java/source/dataset.rst:
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@@ -25,6 +25,24 @@ Dataset
.. contents::
+Arrow Java Dataset offer native functionalities consuming native artifacts
such as:
+ - JNI Arrow C++ Dataset: libarrow_dataset_jni (dylib/so):
+ To create C++ natively objects Schema, Dataset, Scanner and export
that as a references (long id).
+ - JNI Arrow C Data Interface: libarrow_cdata_jni (dylib/so):
+ To get C++ Recordbacth.
Review Comment:
Deleted
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