massdosage commented on a change in pull request #1748:
URL: https://github.com/apache/iceberg/pull/1748#discussion_r521570138
##########
File path: site/docs/hive.md
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@@ -50,6 +50,19 @@ You should now be able to issue Hive SQL `SELECT` queries
using the above table
SELECT * from table_a;
```
+#### Using Hive Catalog
+Iceberg tables created using `HiveCatalog` are automatically registered with
Hive.
+
+##### Create an Iceberg table
+The first step is to create an Iceberg table using the Spark/Java/Python API
and `HiveCatalog`. For the purposes of this documentation we will assume that
the table is called `table_b` and that the table location is
`s3://some_path/table_b`.
+TODO: what do we need to set up when we create this table programatically for
everything to be registered correctly for read usage in Hive?
Review comment:
> Also, `engine.hive.enabled` is the table property. When a table has
that property, it will be created with the storage handler. I set the property
on my table from Spark and it worked.
Really? From what I can see the code uses the value from here
https://github.com/apache/iceberg/blob/b4030093b222a96a979d2964eecd6cdd3e9f7608/core/src/main/java/org/apache/iceberg/hadoop/ConfigProperties.java#L27
which is prefixed with `iceberg` as I said above. I tried it both ways and
only this way worked but the schema in the Hive table definition is empty so
Hive seems to be throwing an error about that when it tries to query it. I
haven't tried setting `iceberg.mr.catalog=hive` in Hive when I do the query, I
will try that next and see if it makes any difference and what impact that has
on the HadoopTables version of it.
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