maxfirman opened a new issue, #1128:
URL: https://github.com/apache/iceberg-python/issues/1128
### Apache Iceberg version
0.7.0
### Please describe the bug 🐞
There is a regression in introduced in version 0.7.0 where arrow tables
written with a "string" data type, get cast to "large_string" when read back
from Iceberg.
The code below reproduces the bug. The assertion succeeds in v0.6.1, but
fails in 0.7.0 because the schema is being changed from "string" to
"large_string".
```python
from tempfile import TemporaryDirectory
import pyarrow
from pyiceberg.catalog.sql import SqlCatalog
def main():
with TemporaryDirectory() as warehouse_path:
catalog = SqlCatalog(
"default",
**{
"uri": f"sqlite:///{warehouse_path}/pyiceberg_catalog.db",
"warehouse": f"file://{warehouse_path}",
},
)
catalog.create_namespace("default")
schema = pyarrow.schema(
[
pyarrow.field("foo", pyarrow.string(), nullable=True),
]
)
df = pyarrow.table(data={"foo": ["bar"]}, schema=schema)
table = catalog.create_table(
"default.test_table",
schema=df.schema,
)
table.append(df)
# read arrow table back table from iceberg
df2 = table.scan().to_arrow()
# this assert succeeds with 0.6.1, but fails with 0.7.0 because the
column type
# has changed from "string" to "large_string"
assert df.equals(df2)
if __name__ == "__main__":
main()
```
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