massdosage commented on a change in pull request #1902:
URL: https://github.com/apache/iceberg/pull/1902#discussion_r540128243
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File path: site/docs/hive.md
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@@ -57,7 +57,7 @@ Iceberg tables created using `HiveCatalog` are automatically
registered with Hiv
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`. In order for Iceberg to correctly set up the Hive
table for querying some configuration values need to be set, the two options
for this are described below - you can use either or the other depending on
your use case.
##### Hive Configuration
-The value `iceberg.engine.hive.enabled` needs to be set to `true` and added to
the Hive configuration file on the classpath of the application creating the
table. This can be done by modifying the relevant `hive-site.xml`.
Alternatively this can be done programmatically like so:
+The value `iceberg.engine.hive.enabled` needs to be set to `true` and added to
the Hive configuration file on the classpath of the application creating or
modifying (alter/insert etc) the table. This can be done by modifying the
relevant `hive-site.xml`. Alternatively this can be done programmatically like
so:
Review comment:
```suggestion
The value `iceberg.engine.hive.enabled` needs to be set to `true` and added
to the Hive configuration file on the classpath of the application creating or
modifying (altering, inserting etc.) the table. This can be done by modifying
the relevant `hive-site.xml`. Alternatively this can be done programmatically
like so:
```
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