[GitHub] [incubator-iceberg] aokolnychyi commented on issue #771: Can't register table to Hive

[GitBox <gi...@apache.org>]

aokolnychyi commented on issue #771: Can't register table to Hive
URL: https://github.com/apache/incubator-iceberg/issues/771#issuecomment-582074029
 
 
   The last snippet you have does not actually use Iceberg. Instead, it uses the default data source in Spark.
   
   [The user docs](https://iceberg.apache.org/spark/) contain a few examples on how to use Iceberg with Spark 2.4. First of all, you need to decide whether you will be using `HadoopTables` or `HiveCatalog` in Iceberg based on the underlying storage. Depending on that, you should use one of the two examples below.
   
   ```
   // if you created your table via HiveCatalog
   spark.read.format("iceberg").load("db.table")
   
   // if you created your table via HadoopTables
   spark.read.format("iceberg").load("hdfs://nn:8020/path/to/table")
   ```

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