Hive has powerful built-in functions to implement data processing and analysis. However, some built-in functions are difficult to process or even cannot be handled by...
This section describes Hive join process, that is, Hive converts SQL join to MapReduce for execution. The key words are execution plan, Shuffle Join, and...
HIVE uses HDFS and MapReduce to store and compute data. HIVE can use InputFormat and Outputformat of Hadoop to read files from different data sources...
Hive is a data warehouse built on Hadoop. It maps structured data files into tables and provides SQL-like query functions. SQL statements used for query...
Hive compresses both intermediate and final data. Snappy is the most commonly used compression method for big data storage because it can be decompressed quickly...
Hive optimization includes configuration optimization, SQL statement optimization, and task optimization. One of the main development process involved may be the SQL optimization. The core...
Understanding Hive data types is the foundation of Hive programming. When using Hive to build tables, you must first understand the common data types and...
This is the 25th day of my participation in the November Update Challenge. The event details view: 2021 Last Update Challenge "Database level Statement show...
From the remote Hive deployment and mysql metadata table dictionary, it is clear that Hive manages user permissions through information stored in metadata. The focus...