About using Hue Hue provides a one-stop querying experience in Cloudera Data Platform (CDP) that leverages Hive, Impala, and Unified Analytics SQL engines. Accessing and using Hue in Cloudera Data WarehouseGet started using Hue by analyzing and visualizing your data with Impala and Hive SQL query engines.Viewing Hive query detailsYou can search Hive query history, compare two queries, download debug bundles for troubleshooting, and view query details, a graphical representation of the query execution plan, and DAG information on the Job Browser page in Hue.Viewing Impala query detailsYou can view Impala query details, query plan, execution summary, and query metrics on the new Impala Queries tab on the Job Browser page in Hue, and use this information to tune and optimize your queries. You can also view Impala query profiles on the Impala tab.Terminating Hive queriesIf a query is running for longer than expected, or you have accidentally triggered it, then you can stop the query to free up the resources. Hue also allows you to stop multiple queries at once.Comparing Hive and Impala queries in HueYou can compare two queries to know how each query is performing in terms of speed and cost-effectiveness. Hue compares various aspects of the two queries, based on which you can identify what changed between the executions of those two queries, and you can debug performance-related issues between different runs of the same query.To create, edit, and drop procedures and functions that are written in Hive Hybrid Procedural SQL (HPL/SQL) using the Hue query editor, you must enable the hplsql option in the Hue Advanced Configuration Snippet.Enabling stored procedures for Hive in Cloudera Data WarehouseTo create, edit, and drop procedures and functions that are written in Hive Hybrid Procedural SQL (HPL/SQL) using the Hue query editor in CDW, you must enable the hplsql option in the hue-safety-valve field.How to run a stored procedure from Hue in Cloudera Data WarehouseHPL/SQL allows you to implement business logic using variables, expressions, flow-of-control statements, and iterations. HPL/SQL makes SQL-on-Hadoop more dynamic. You can leverage your existing procedural SQL skills, and use functions and statements to make your typical ETL development more productive. Hue provides a smart interface to run stored procedures.Enabling the SQL editor autocompleterAutocompleter provides finely tuned SQL suggestions for Hive and Impala dialects while you enter queries into the editor window. See Brand new Autocompleter for Hive and Impala in the Hue blog.Using governance-based data discoveryHue can use the metadata tagging, indexing, and search features available in Apache Atlas data management. After integrating Hue with Atlas, classifications and indexed entities can be accessed and viewed in Hue. This topic shows you how to use metadata classifications in Hue.Creating tables in Hue by importing filesUsing Hue Importer, you can create Hive, Impala, and Iceberg tables from CVS and XLSX files. After enabling the File Browser for your cloud provider, you can import the file into Hue to create tables.Supported non-ASCII and special characters in HueAuto-generated files may often introduce non-alphanumeric characters in the file and directory names that Hue does not support. This might cause the files or directories to not appear on the Hue File Browser. Review the list of non-alphanumeric, non-ASCII, diacritics (accents) characters supported in Hue for the following operations: upload, create, list in folder, view, and rename.
