Performing basic aggregations using GROUP BY in Hive is a common task in data analysis and data processing. Hive is a data warehousing tool that provides a SQL-like interface to query and analyze large datasets stored in Hadoop Distributed File System (HDFS). To perform basic aggregations using GROUP BY in Hive, you can follow these …
Section 10:116.Performing Basic Aggregations Sum, Min,Max Using Group by Read More »
In Apache Hive, the AGGREGATE function is used to perform basic aggregations on data. The AGGREGATE function takes a column or expression as an argument and returns the aggregate result for that column or expression. Here are some basic aggregations that can be performed using AGGREGATE in Hive: COUNT: The COUNT aggregation returns the number …
Section 10:107. Basic Aggregations Using Aggregate Read More »
Reviewing logs is an important step in troubleshooting and optimizing Hive queries. Hive produces several types of logs, including HiveServer2 logs, Hadoop YARN logs, and Hadoop HDFS logs. Here are some tips for reviewing logs for Hive queries: Identify the relevant logs: Depending on the nature of the problem, you may need to review different …
The Hive Query Execution Life Cycle involves multiple steps that are as follows: Parsing: The first step of the query execution life cycle is parsing. In this step, Hive parses the SQL query to check its syntax and verify that it is valid. If the query is not valid, then Hive will return an error …
Section 10:106. Hive Query- Execution Life cycle Read More »
Hive is a data warehousing tool built on top of Hadoop, which allows users to query and analyze data stored in Hadoop Distributed File System (HDFS). Hive provides a SQL-like interface called HiveQL or HQL, which allows users to write SQL queries to analyze data stored in Hadoop. Here are some key features of SQL …
Section 9:104. Query Example – Get Word Count Using the functions and solve the complex problems in easy manner As part of the query we used three functions count,explode,split functions
