sandcobainer opened a new issue, #1328:
URL: https://github.com/apache/iceberg-python/issues/1328
### Question
Context: So I'm trying to run a simple proof of concept with PyIceberg, Hive
Metastore (with an SQL dump as a hive metastore schema) and an S3 bucket of
iceberg tables. I setup a docker compose file with mysql and hive metastore and
the containers seem to be running fine. I am able to read the catalog,
databases and tables with
`catalog = HiveCatalog(
"viktortest",
**{
"uri":"hive2://localhost:9083",
"s3.endpoint":"http://s3-website-us-east-1.amazonaws.com";,
"s3.access-key-id":"fake key",
"s3.secret-access-key":"fake access key"
},
)
print(catalog.list_namespaces())
print(catalog.list_tables('tenantdb'))`
Results:
[('default',), ('default_database',), ('tenantdb',), ('test',), ('testdb',)]
[('tenantdb', 'pinglogs'), ('tenantdb', 'pinglogs1'), ('tenantdb',
'pinglogs_bad'), ('tenantdb', 'pinglogs2'), ('tenantdb', 'pinglogs3')]
Issue: Running `pinglogs = catalog.load_table('tenantdb.pinglogs')` raises a
validation error
`ValidationError: 1 validation error for TableMetadataWrapper
Invalid JSON: EOF while parsing a value at line 1 column 0
[type=json_invalid, input_value='', input_type=str]"`
I looked at the metadata json and can confirm it's a valid json file. Is
there a way to debug what the downloaded metadata looks like or what else to
pass to `load_table`?
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