About using Hue Hue provides a one-stop querying experience in Cloudera Data Platform (CDP) that leverages Hive and Impala SQL queries. Accessing and using HueGet 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.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 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.Enabling stored procedures for Hive on CDP Private Cloud BaseTo 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.How to run a stored procedure from Hue in CDP Private Cloud BaseHPL/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.Using SQL to query HBase from HueHue provides a simple SQL interface to create and manipulate SQL tables that are stored in HBase, and define and manipulate views on HBase tables using Apache Phoenix in addition to HBase shell and database API.Querying existing HBase tablesTo use SQL for querying data from existing HBase tables, you must create a view in Phoenix pointing to the HBase table.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.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.Options to rerun Oozie workflows in HueOozie workflows consume time and resources to run. You can optimize the rerun of a failed Oozie workflow by selecting one of the following two options: “All or skip successful” or “Only failed”. These options enable you to select individual actions within your workflow that you want to rerun.Creating Iceberg tables using HueYou can create Iceberg tables in Hue by using a CREATE TABLE statement or by importing CSV files using the Hue importer. Unsupported features in HueLearn about the Hue features that are not supported by Cloudera.Known limitations in HueReview the known limitations in Hue.
