rahul-ghiware commented on issue #409:
URL:
https://github.com/apache/incubator-xtable/issues/409#issuecomment-2037750496
> @rahul-ghiware - Can you try setting this
`'spark.sql.catalog.test_catalog.io-impl',
'org.apache.iceberg.aws.s3.S3FileIO'`. Since you are using a Hadoop catalog
with Iceberg & reading/writing data in a S3/cloud storage, it could be looking
for that class.
Adding above mentioned setting did not help. Still getting same exception.
Latest Java spark code
```
SparkSession.Builder sessionBuilder =
sessionBuilder.config("spark.hadoop.fs.s3a.endpoint",
"s3.us-east-1.amazonaws.com");
sessionBuilder = sessionBuilder.config("spark.hadoop.fs.s3a.impl",
"org.apache.hadoop.fs.s3a.S3AFileSystem");
SparkSession spark = sessionBuilder.appName("test iceberg read")
.config("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
.config("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkSessionCatalog")
.config("spark.sql.catalog.spark_catalog.type", "hive")
.config("spark.sql.catalog.test_iceberg",
"org.apache.iceberg.spark.SparkCatalog")
.config("spark.sql.catalog.test_iceberg.type","hadoop")
.config("spark.sql.defaultCatalog","test_iceberg")
.config("spark.sql.catalog.test_catalog.io-impl",
"org.apache.iceberg.aws.s3.S3FileIO")
.config("spark.sql.catalog.test_iceberg.warehouse","s3a://mq-de-qa/TEST_DATA/hudi-warehouse/").getOrCreate();
Dataset<Row> dataFrame = spark.read().format("iceberg").load("people");
dataFrame.printSchema();
dataFrame.show(false);
```
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