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[#1135] improvement(docs): Add docs about tables advanced feature like partitioning #1203

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[#1135] improvement(docs): Add docs about tables advanced feature like partitioning #1203

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Add docs about tables advanced feature like partitioning
yuqi1129 Dec 19, 2023
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Add docs about tables advanced feature like partitioning
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Remove the source type and result type column
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Merge branch 'main' of github.com:datastrato/graviton into issue_1135
yuqi1129 Dec 25, 2023
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Add description about default null ordering value
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Use a separate doc to describe partitioning, bucketing and sorted table
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1. Add the necessary messages needed by table partitioning
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Update table-partitioning-bucketing-sort-order.md
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131 changes: 1 addition & 130 deletions docs/manage-metadata-using-gravitino.md
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Original file line number Diff line number Diff line change
Expand Up @@ -736,136 +736,7 @@ In addition to the basic settings, Gravitino supports the following features:
| Bucketed table | Equal to `CLUSTERED BY` in Apache Hive, some engine may use different words to describe it. | [Distribution](pathname:///docs/0.3.0/api/java/com/datastrato/gravitino/rel/expressions/distributions/Distribution.html) |
| Sorted order table | Equal to `SORTED BY` in Apache Hive, some engine may use different words to describe it. | [SortOrder](pathname:///docs/0.3.0/api/java/com/datastrato/gravitino/rel/expressions/sorts/SortOrder.html) |

:::tip
**Not all catalogs may support those features.**. Please refer to the related document for more details.
:::

The following is an example of creating a partitioned, bucketed table and sorted order table:

<Tabs>
<TabItem value="bash" label="Bash">

```bash
curl -X POST -H "Accept: application/vnd.gravitino.v1+json" \
-H "Content-Type: application/json" -d '{
"name": "table",
"columns": [
{
"name": "id",
"type": "integer",
"nullable": true,
"comment": "Id of the user"
},
{
"name": "name",
"type": "varchar(2000)",
"nullable": true,
"comment": "Name of the user"
},
{
"name": "age",
"type": "short",
"nullable": true,
"comment": "Age of the user"
},
{
"name": "score",
"type": "double",
"nullable": true,
"comment": "Score of the user"
}
],
"comment": "Create a new Table",
"properties": {
"format": "ORC"
},
"partitioning": [
{
"strategy": "identity",
"fieldName": ["score"]
}
],
"distribution": {
"strategy": "hash",
"number": 4,
"funcArgs": [
{
"type": "field",
"fieldName": ["score"]
}
]
},
"sortOrders": [
{
"direction": "asc",
"nullOrder": "NULLS_LAST",
"sortTerm": {
"type": "field",
"fieldName": ["name"]
}
}
]
}' http://localhost:8090/api/metalakes/metalake/catalogs/catalog/schemas/schema/tables
```

</TabItem>
<TabItem value="java" label="Java">

```java
tableCatalog.createTable(
NameIdentifier.of("metalake", "hive_catalog", "schema", "table"),
new ColumnDTO[] {
ColumnDTO.builder()
.withComment("Id of the user")
.withName("id")
.withDataType(Types.IntegerType.get())
.withNullable(true)
.build(),
ColumnDTO.builder()
.withComment("Name of the user")
.withName("name")
.withDataType(Types.VarCharType.of(1000))
.withNullable(true)
.build(),
ColumnDTO.builder()
.withComment("Age of the user")
.withName("age")
.withDataType(Types.ShortType.get())
.withNullable(true)
.build(),

ColumnDTO.builder()
.withComment("Score of the user")
.withName("score")
.withDataType(Types.DoubleType.get())
.withNullable(true)
.build(),
},
"Create a new Table",
tablePropertiesMap,
new Transform[] {
// Partition by id
Transforms.identity("score")
},
// CLUSTERED BY id
new DistributionDTO.Builder()
.withStrategy(Strategy.HASH)
.withNumber(4)
.withArgs(FieldReferenceDTO.of("id"))
.build(),
// SORTED BY name asc
new SortOrderDTO[] {
new SortOrderDTO.Builder()
.withDirection(SortDirection.ASCENDING)
.withNullOrder(NullOrdering.NULLS_LAST)
.withSortTerm(FieldReferenceDTO.of("name"))
.build()
}
);
```

</TabItem>
</Tabs>
For More about partition, distribution and sort order, please refer to the related [doc](table-partitioning-bucketing-sort-order.md).
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:::note
The code above is an example of creating a Hive table. For other catalogs, the code is similar, but the supported column type, table properties may be different. For more details, please refer to the related doc.
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