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
In Hive, nvl() is a function that can be used to handle null values in queries. The nvl() function takes two arguments – the first argument is the expression that you want to check for null values, and the second argument is the value that you want to return if the expression is null. Here’s …
In Hive, you can convert data from one data type to another using type conversion functions. These functions allow you to transform data into a format that is suitable for a specific operation or query. Here are some of the commonly used type conversion functions in Hive: CAST(expression AS data_type) – converts an expression to …
Section 9:102.Type Cast Functions for Data Type Conversion Read More »
