lidavidm commented on a change in pull request #12634:
URL: https://github.com/apache/arrow/pull/12634#discussion_r829123862
##########
File path: docs/source/java/vector_schema_root.rst
##########
@@ -15,21 +15,79 @@
.. specific language governing permissions and limitations
.. under the License.
-================
+.. default-domain:: java
+.. highlight:: java
+
+============
+Tabular Data
+============
+
+While arrays (aka: :doc:`ValueVector <./vector>`) represent a one-dimensional
sequence of
+homogeneous values, data often comes in the form of two-dimensional sets of
+heterogeneous data (such as database tables, CSV files...). Arrow provides
+several abstractions to handle such data conveniently and efficiently.
+
+Fields
+======
+
+Fields are used to denote the particular columns of a table.
+A field, i.e. an instance of `Field`_, holds together a field name, a data
+type, and some optional key-value metadata.
+
+.. code-block:: Java
+
+ // Create a column "document" of string type with metadata
+ import org.apache.arrow.vector.types.pojo.ArrowType;
+ import org.apache.arrow.vector.types.pojo.Field;
+ import org.apache.arrow.vector.types.pojo.FieldType;
+
+ Map<String, String> metadata = new HashMap<>();
+ metadata.put("A", "Id card");
+ metadata.put("B", "Passport");
+ metadata.put("C", "Visa");
+ Field document = new Field("document", new FieldType(true, new
ArrowType.Utf8(), /*dictionary*/ null, metadata), /*children*/ null);
+
+Schemas
+=======
+
+A `Schema`_ describes the overall structure consisting of any number of
columns. It holds a sequence of fields together
+with some optional schema-wide metadata (in addition to per-field metadata).
+
+.. code-block:: Java
+
+ // Create a schema describing datasets with two columns:
+ // a int32 column "A" and a utf8-encoded string column "B"
+ import org.apache.arrow.vector.types.pojo.ArrowType;
+ import org.apache.arrow.vector.types.pojo.Field;
+ import org.apache.arrow.vector.types.pojo.FieldType;
+ import org.apache.arrow.vector.types.pojo.Schema;
+ import static java.util.Arrays.asList;
+
+ Map<String, String> metadata = new HashMap<>();
+ metadata.put("K1", "V1");
+ metadata.put("K2", "V2");
+ Field a = new Field("A", FieldType.nullable(new ArrowType.Int(32, true)),
null);
+ Field b = new Field("B", FieldType.nullable(new ArrowType.Utf8()), null);
+ Schema schema = new Schema(asList(a, b), metadata);
+
VectorSchemaRoot
================
+
+.. note::
+
+ VectorSchemaRoot is somewhat analogous to tables and record batches in the
other Arrow implementations
+ in that they all are 2D datasets, but the usage is different.
+
A :class:`VectorSchemaRoot` is a container that can hold batches, batches flow
through :class:`VectorSchemaRoot`
Review comment:
Not so sure about this since we haven't introduced batches yet at this
point…but we can revisit this later.
##########
File path: docs/source/java/vector_schema_root.rst
##########
@@ -15,21 +15,79 @@
.. specific language governing permissions and limitations
.. under the License.
-================
+.. default-domain:: java
+.. highlight:: java
+
+============
+Tabular Data
+============
+
+While arrays (aka: :doc:`ValueVector <./vector>`) represent a one-dimensional
sequence of
+homogeneous values, data often comes in the form of two-dimensional sets of
+heterogeneous data (such as database tables, CSV files...). Arrow provides
+several abstractions to handle such data conveniently and efficiently.
+
+Fields
+======
+
+Fields are used to denote the particular columns of a table.
Review comment:
Wait, sorry I missed this. We should not talk about tables in Java.
Since we haven't introduced VectorSchemaRoot yet, we can talk about "tabular
data" abstractly.
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