ahmedabu98 commented on issue #34766:
URL: https://github.com/apache/beam/issues/34766#issuecomment-2836048790
Just gave it a short in PyIceberg with the following code:
```python
from pyiceberg.catalog import Catalog
from pyiceberg.catalog.memory import InMemoryCatalog
from pyiceberg.schema import Schema
from pyiceberg.schema import NestedField
from pyiceberg.schema import LongType
from pyiceberg.schema import StructType
from pyiceberg.schema import StringType
TEST_TABLE_SCHEMA = Schema(
NestedField(1, "x", LongType(), required=True),
NestedField(4, "nested", StructType(
NestedField(5, "bar", StringType()),
NestedField(6, "foo", StringType()),
NestedField(7, "baz", StringType()),
)),
NestedField(2, "y", LongType(), doc="comment", required=True),
NestedField(3, "z", LongType(), required=True),
)
catalog: Catalog = InMemoryCatalog("inmemory")
catalog.create_namespace("dataset")
print("xxx schema:", catalog.create_table(
identifier="dataset.table",
schema=TEST_TABLE_SCHEMA,
).schema())
```
Output:
```
xxx schema: table {
1: x: required long
2: nested: optional struct<5: bar: optional string, 6: foo: optional
string, 7: baz: optional string>
3: y: required long (comment)
4: z: required long
}
```
So Python also does a breadth-first approach 🤔
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscr...@beam.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
