tprelle commented on a change in pull request #2544: URL: https://github.com/apache/iceberg/pull/2544#discussion_r623352223
########## File path: site/docs/hive.md ########## @@ -17,113 +17,211 @@ # Hive -## Hive read support -Iceberg supports the reading of Iceberg tables from [Hive](https://hive.apache.org) by using a [StorageHandler](https://cwiki.apache.org/confluence/display/Hive/StorageHandlers). Please note that only Hive 2.x versions are currently supported. +Iceberg supports reading and writing Iceberg tables through [Hive](https://hive.apache.org) by using a [StorageHandler](https://cwiki.apache.org/confluence/display/Hive/StorageHandlers). +Only Hive 2.x versions are currently supported. -### Table creation -This section explains the various steps needed in order to overlay a Hive table "on top of" an existing Iceberg table. Iceberg tables are created using either a [`Catalog`](./javadoc/master/index.html?org/apache/iceberg/catalog/Catalog.html) or an implementation of the [`Tables`](./javadoc/master/index.html?org/apache/iceberg/Tables.html) interface and Hive needs to be configured accordingly to read data from these different types of table. +## Enabling Iceberg support in Hive -#### Add the Iceberg Hive Runtime jar file to the Hive classpath -Regardless of the table type, the `HiveIcebergStorageHandler` and supporting classes need to be made available on Hive's classpath. These are provided by the `iceberg-hive-runtime` jar file. For example, if using the Hive shell, this can be achieved by issuing a statement like so: -```sql -add jar /path/to/iceberg-hive-runtime.jar; -``` -There are many others ways to achieve this including adding the jar file to Hive's auxiliary classpath (so it is available by default) - please refer to Hive's documentation for more information. - -#### Using Hadoop Tables -Iceberg tables created using `HadoopTables` are stored entirely in a directory in a filesystem like HDFS. +### Loading runtime jar -##### Create an Iceberg table -The first step is to create an Iceberg table using the Spark/Java/Python API and `HadoopTables`. For the purposes of this documentation we will assume that the table is called `table_a` and that the table location is `hdfs://some_path/table_a`. - -##### Create a Hive table -Now overlay a Hive table on top of this Iceberg table by issuing Hive DDL like so: +To enable Iceberg support in Hive, the `HiveIcebergStorageHandler` and supporting classes need to be made available on Hive's classpath. These are provided by the `iceberg-hive-runtime` jar file. For example, if using the Hive shell, this can be achieved by issuing a statement like so: ```sql -CREATE EXTERNAL TABLE table_a -STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler' -LOCATION 'hdfs://some_bucket/some_path/table_a'; +add jar /path/to/iceberg-hive-runtime.jar; ``` +There are many others ways to achieve this including adding the jar file to Hive's auxiliary classpath so it is available by default. +Please refer to Hive's documentation for more information. -#### Query the Iceberg table via Hive -You should now be able to issue Hive SQL `SELECT` queries using the above table and see the results returned from the underlying Iceberg table. -```sql -SELECT * from table_a; -``` +### Enabling support -#### Using Hive Catalog -Iceberg tables created using `HiveCatalog` are automatically registered with Hive. +#### Hadoop configuration -##### 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`. 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. +The value `iceberg.engine.hive.enabled` needs to be set to `true` in the Hadoop configuraiton in the environment. Review comment: It will be good also to list on the documentation until Tez or Hive are not release the necessary PR to make it work ? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
