itaise opened a new issue, #220:
URL: https://github.com/apache/iceberg-python/issues/220
### Apache Iceberg version
0.3.0
### Please describe the bug 🐞
Hi,
I am trying to read a table schema. for our use case - we need only field
names and types
The operation of load_table is very slow, it takes about 30 seconds.
I checked the metadata file on S3 and it is ~9MB, and the table has ~900
columns.
The slowness happens when opening the metadata file form S3.
is this a known issue?
Is there a faster way to get the table schema?
Thanks a lot!
This is the code we use (we have hive metastore + S3 storage):
```
from pyiceberg.catalog import load_catalog
catalog = load_catalog("prod")
table = catalog.load_table("stores.checkout")
table
```
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