Cloudera Docs

Hive unsupported interfaces and features in public clouds

You need to know the interfaces available in HDP or CDH platforms that are not supported in CDP.

The following interfaces are not supported:

  • Hcat CLI (however, HCatalog is supported)
  • Hive CLI (replaced by Beeline)
  • Hive View UI feature in Ambari
  • MapReduce execution engine (replaced by LLAP)
  • Pig
  • Spark execution engine
  • Spark thrift server

    Spark and Hive tables interoperate using the Hive Warehouse Connector.

  • SQL Standard Authorization
  • Tez View UI feature in Ambari
  • WebHCat

You can use Hue in lieu of Hive View.

Hive-Kudu integration

CDP does not support the integration of HiveServer (HS2) with Kudu tables. You cannot run queries against Kudu tables from HS2.

Unsupported Features

CDP does not support the following features that were available in HDP and CDH platforms:

  • CREATE TABLE that specifies a managed table location

    Do not use the LOCATION clause to create a managed table. Hive assigns a default location in the warehouse to managed tables. That default location is configured in Hive using the hive.metastore.warehouse.dir configuration property, but can be overridden for the database by setting the CREATE DATABASE MANAGEDLOCATION parameter.

  • CREATE INDEX and related index commands were removed in Hive 3, and consequently are not supported in CDP.

    In CDP, you use the Hive 3 default ORC columnar file formats to achieve the performance benefits of indexing. Materialized Views with automatic query rewriting also improves performance. Indexes migrated to CDP are preserved but render any Hive tables with an undroppable index. To drop the index, google the Known Issue for CDPD-23041.

  • Hive metastore (HMS) high availablility (HA) load balancing in CDH

    You need to set up HMS HA as described in the documentation.

  • Local or Embedded Hive metastore server

    CDP does not support the use of a local or embedded Hive metastore setup.

Unsupported Connector Use

CDP does not support the Sqoop exports using the Hadoop jar command (the Java API) that Teradata documents. For more information, see Migrating data using Sqoop.